APSE073Cemetery and Crematorium: Hectares of cemetery land maintained per 10,000 head of population (PI 18)AnnualFinancial Year2013/20140.00Neutral APSE073Cemetery and Crematorium: Hectares of cemetery land maintained per 10,000 head of population (PI 18)AnnualFinancial Year2014/2015NCNeutral APSE073Cemetery and Crematorium: Hectares of cemetery land maintained per 10,000 head of population (PI 18)AnnualFinancial Year2015/20160.05Neutral APSE073Cemetery and Crematorium: Hectares of cemetery land maintained per 10,000 head of population (PI 18)AnnualFinancial Year2016/20170.05Neutral APSE073Cemetery and Crematorium: Hectares of cemetery land maintained per 10,000 head of population (PI 18)AnnualFinancial Year2017/20180.05Neutral APSE073Cemetery and Crematorium: Hectares of cemetery land maintained per 10,000 head of population (PI 18)AnnualFinancial Year2018/20190.05Neutral APSE073Cemetery and Crematorium: Hectares of cemetery land maintained per 10,000 head of population (PI 18)AnnualFinancial Year2019/2020Neutral ASC01b% of initial calls to adult social care that are resolved with information/advice/guidance (IAG)MonthlyFinancial Year2016/2017NCNeutral ASC01b% of initial calls to adult social care that are resolved with information/advice/guidance (IAG)MonthlyFinancial Year2017/2018NCNCNeutral ASC01b% of initial calls to adult social care that are resolved with information/advice/guidance (IAG)MonthlyFinancial Year2018/201927.2420.3026.4031.7327.0929.7625.4128.7428.0225.2328.2036.7830.2928.9120.6119.5423.62Neutral ASC01b% of initial calls to adult social care that are resolved with information/advice/guidance (IAG)MonthlyFinancial Year2019/202025.8622.9122.6220.2822.0420.1522.5026.8823.1124.7933.5330.1929.9831.6122.1932.3429.08Neutral ASC01f% of Reviews that result in reduced level of formal care & support - (Rolling 12 Months)MonthlyFinancial Year2016/2017NCUp is Good ASC01f% of Reviews that result in reduced level of formal care & support - (Rolling 12 Months)MonthlyFinancial Year2017/201847.0052.0055.0047.0047.00Up is Good ASC01f% of Reviews that result in reduced level of formal care & support - (Rolling 12 Months)MonthlyFinancial Year2018/20195.724.904.804.104.105.175.124.944.945.004.864.524.524.985.315.725.72Up is Good ASC01f% of Reviews that result in reduced level of formal care & support - (Rolling 12 Months)MonthlyFinancial Year2019/20204.875.105.065.205.205.165.144.844.844.674.403.853.853.823.944.874.87Up is Good ASCOF1GProportion of adults with a learning disability who live in their own home or with familyAnnualFinancial Year2011/201273.10Up is Good ASCOF1GProportion of adults with a learning disability who live in their own home or with familyAnnualFinancial Year2012/201363.20Up is Good ASCOF1GProportion of adults with a learning disability who live in their own home or with familyAnnualFinancial Year2013/201482.60Up is Good ASCOF1GProportion of adults with a learning disability who live in their own home or with familyAnnualFinancial Year2014/201591.80Up is Good ASCOF1GProportion of adults with a learning disability who live in their own home or with familyAnnualFinancial Year2015/201682.6081.8081.8082.0081.9081.9081.7081.7081.8081.6081.5081.3081.5081.6081.6084.2082.47Up is Good ASCOF1GProportion of adults with a learning disability who live in their own home or with familyAnnualFinancial Year2016/201782.2684.1084.3084.5084.3084.6884.2984.0084.3284.1681.4481.7282.4479.3379.7680.6579.91Up is Good ASCOF1GProportion of adults with a learning disability who live in their own home or with familyAnnualFinancial Year2017/201882.0080.1879.7079.7079.8679.5979.4179.0179.3378.9678.4177.5378.2977.3177.2977.0777.22Up is Good ASCOF1GProportion of adults with a learning disability who live in their own home or with familyAnnualFinancial Year2018/201981.4077.1277.1276.2376.8276.3176.3876.3876.3676.1376.2876.0576.1574.9374.9374.9374.93Up is Good ASCOF1GProportion of adults with a learning disability who live in their own home or with familyAnnualFinancial Year2019/2020Up is Good ASCOF1HProportion of adults in contact with secondary mental health services living independently, with or without supportMonthlyFinancial Year2011/201253.90Up is Good ASCOF1HProportion of adults in contact with secondary mental health services living independently, with or without supportMonthlyFinancial Year2012/201363.90Up is Good ASCOF1HProportion of adults in contact with secondary mental health services living independently, with or without supportMonthlyFinancial Year2013/201468.70Up is Good ASCOF1HProportion of adults in contact with secondary mental health services living independently, with or without supportMonthlyFinancial Year2014/201555.10Up is Good ASCOF1HProportion of adults in contact with secondary mental health services living independently, with or without supportMonthlyFinancial Year2015/201628.50Up is Good ASCOF1HProportion of adults in contact with secondary mental health services living independently, with or without supportMonthlyFinancial Year2016/201739.2120.2220.5321.2620.6937.5538.0538.9738.1944.6746.4946.2245.8350.4652.6453.2452.14Up is Good ASCOF1HProportion of adults in contact with secondary mental health services living independently, with or without supportMonthlyFinancial Year2017/201869.0048.0047.0052.0049.0058.0067.0070.0057.0079.0081.0081.0065.0082.0082.0083.0069.00Up is Good ASCOF1HProportion of adults in contact with secondary mental health services living independently, with or without supportMonthlyFinancial Year2018/201984.0083.0083.0084.0083.0086.0086.0085.0084.0085.0084.0083.0084.0083.0083.0082.0084.00Up is Good ASCOF1HProportion of adults in contact with secondary mental health services living independently, with or without supportMonthlyFinancial Year2019/202081.0080.0080.0080.0080.0081.0079.0080.0080.0080.0079.0080.0078.0077.0077.0079.00Up is Good ASCOF1I1Proportion of people who use services who reported that they had as much social contact as they would likeAnnualFinancial Year2013/201443.00Up is Good ASCOF1I1Proportion of people who use services who reported that they had as much social contact as they would likeAnnualFinancial Year2014/201546.60Up is Good ASCOF1I1Proportion of people who use services who reported that they had as much social contact as they would likeAnnualFinancial Year2015/201645.80Up is Good ASCOF1I1Proportion of people who use services who reported that they had as much social contact as they would likeAnnualFinancial Year2016/201749.50Up is Good ASCOF1I1Proportion of people who use services who reported that they had as much social contact as they would likeAnnualFinancial Year2017/201844.50Up is Good ASCOF1I1Proportion of people who use services who reported that they had as much social contact as they would likeAnnualFinancial Year2018/201943.40Up is Good ASCOF1I1Proportion of people who use services who reported that they had as much social contact as they would likeAnnualFinancial Year2019/2020Up is Good ASCOF2A1Long-term support needs met by admission to residential and nursing care homes, per 100,000 population (younger adults) - (YTD Cumulative)MonthlyFinancial Year2011/20127.00Up is Bad ASCOF2A1Long-term support needs met by admission to residential and nursing care homes, per 100,000 population (younger adults) - (YTD Cumulative)MonthlyFinancial Year2012/20137.70Up is Bad ASCOF2A1Long-term support needs met by admission to residential and nursing care homes, per 100,000 population (younger adults) - (YTD Cumulative)MonthlyFinancial Year2013/201411.50Up is Bad ASCOF2A1Long-term support needs met by admission to residential and nursing care homes, per 100,000 population (younger adults) - (YTD Cumulative)MonthlyFinancial Year2014/20159.90Up is Bad ASCOF2A1Long-term support needs met by admission to residential and nursing care homes, per 100,000 population (younger adults) - (YTD Cumulative)MonthlyFinancial Year2015/201611.302.282.283.053.053.816.097.617.618.379.9010.6610.6613.7014.4616.7516.75Up is Bad ASCOF2A1Long-term support needs met by admission to residential and nursing care homes, per 100,000 population (younger adults) - (YTD Cumulative)MonthlyFinancial Year2016/201711.180.750.752.252.253.003.003.763.765.266.018.268.269.0111.2711.2711.27Up is Bad ASCOF2A1Long-term support needs met by admission to residential and nursing care homes, per 100,000 population (younger adults) - (YTD Cumulative)MonthlyFinancial Year2017/201815.701.493.734.474.475.966.717.457.458.9511.9313.4213.4214.1615.6516.4016.40Up is Bad ASCOF2A1Long-term support needs met by admission to residential and nursing care homes, per 100,000 population (younger adults) - (YTD Cumulative)MonthlyFinancial Year2018/201910.403.735.226.716.717.457.458.958.9511.1812.6714.1614.1615.6515.6515.6515.65Up is Bad ASCOF2A1Long-term support needs met by admission to residential and nursing care homes, per 100,000 population (younger adults) - (YTD Cumulative)MonthlyFinancial Year2019/20202.984.477.457.458.9511.1812.6712.6713.4214.9114.9114.9116.4019.3819.3819.38Up is Bad ASCOF2A1aLong-term support needs met by admission to residential and nursing care homes, per 100,000 population (younger adults) - (Monthly Snapshot)MonthlyFinancial Year2015/201611.422.280.000.763.050.762.281.524.570.761.520.763.053.050.762.286.09Up is Bad ASCOF2A1aLong-term support needs met by admission to residential and nursing care homes, per 100,000 population (younger adults) - (Monthly Snapshot)MonthlyFinancial Year2016/201711.270.750.001.502.250.750.000.751.501.500.752.254.500.752.250.003.00Up is Bad ASCOF2A1aLong-term support needs met by admission to residential and nursing care homes, per 100,000 population (younger adults) - (Monthly Snapshot)MonthlyFinancial Year2017/201815.701.492.240.754.481.490.750.752.981.492.981.495.960.751.490.752.99Up is Bad ASCOF2A1aLong-term support needs met by admission to residential and nursing care homes, per 100,000 population (younger adults) - (Monthly Snapshot)MonthlyFinancial Year2018/201910.403.731.491.496.710.750.001.492.242.241.491.495.221.490.000.001.49Up is Bad ASCOF2A1aLong-term support needs met by admission to residential and nursing care homes, per 100,000 population (younger adults) - (Monthly Snapshot)MonthlyFinancial Year2019/20202.981.492.987.451.492.241.495.220.751.490.002.241.492.980.004.47Up is Bad ASCOF2A2Long-term support needs met by admission to residential and nursing care homes, per 100,000 population (older people) - (YTD Cumulative)MonthlyFinancial Year2011/2012608.40Up is Bad ASCOF2A2Long-term support needs met by admission to residential and nursing care homes, per 100,000 population (older people) - (YTD Cumulative)MonthlyFinancial Year2012/2013617.70Up is Bad ASCOF2A2Long-term support needs met by admission to residential and nursing care homes, per 100,000 population (older people) - (YTD Cumulative)MonthlyFinancial Year2013/2014767.50Up is Bad ASCOF2A2Long-term support needs met by admission to residential and nursing care homes, per 100,000 population (older people) - (YTD Cumulative)MonthlyFinancial Year2014/2015630.80Up is Bad ASCOF2A2Long-term support needs met by admission to residential and nursing care homes, per 100,000 population (older people) - (YTD Cumulative)MonthlyFinancial Year2015/2016683.1076.80126.17202.97202.97255.08312.68394.96394.96430.62474.51543.08543.08606.16658.27713.13713.13Up is Bad ASCOF2A2Long-term support needs met by admission to residential and nursing care homes, per 100,000 population (older people) - (YTD Cumulative)MonthlyFinancial Year2016/2017647.8091.80148.50189.00189.00251.10299.70372.60372.60407.70456.30515.70515.70569.70629.10669.60669.60Up is Bad ASCOF2A2Long-term support needs met by admission to residential and nursing care homes, per 100,000 population (older people) - (YTD Cumulative)MonthlyFinancial Year2017/2018649.4045.3295.97162.62162.62215.94287.92349.23349.23394.55447.87546.51546.51586.49634.48655.81655.81Up is Bad ASCOF2A2Long-term support needs met by admission to residential and nursing care homes, per 100,000 population (older people) - (YTD Cumulative)MonthlyFinancial Year2018/2019668.6093.31186.61239.93239.93303.91354.56399.88399.88466.53517.18567.83567.83623.82645.14671.80671.80Up is Bad ASCOF2A2Long-term support needs met by admission to residential and nursing care homes, per 100,000 population (older people) - (YTD Cumulative)MonthlyFinancial Year2019/202058.65130.63181.28181.28261.26317.24346.57346.57378.56418.54453.20453.20495.85530.51546.51546.51Up is Bad ASCOF2A2aLong-term support needs met by admission to residential and nursing care homes, per 100,000 population (older people) - (Monthly Snapshot)MonthlyFinancial Year2015/2016693.9376.8049.3776.80202.9752.1157.6082.28191.9935.6643.8868.57148.1163.0852.1154.86170.05Up is Bad ASCOF2A2aLong-term support needs met by admission to residential and nursing care homes, per 100,000 population (older people) - (Monthly Snapshot)MonthlyFinancial Year2016/2017656.1091.8056.7040.50189.0062.1048.6072.90183.6035.1048.6059.40143.1054.0059.4040.50153.90Up is Bad ASCOF2A2aLong-term support needs met by admission to residential and nursing care homes, per 100,000 population (older people) - (Monthly Snapshot)MonthlyFinancial Year2017/2018649.4045.3250.6566.65162.6253.3271.9861.32186.6245.3253.3298.64197.2839.9947.9921.33109.31Up is Bad ASCOF2A2aLong-term support needs met by admission to residential and nursing care homes, per 100,000 population (older people) - (Monthly Snapshot)MonthlyFinancial Year2018/2019668.6093.3193.3153.32239.9363.9850.6545.32159.9566.6550.6550.65167.9555.9821.3326.66103.97Up is Bad ASCOF2A2aLong-term support needs met by admission to residential and nursing care homes, per 100,000 population (older people) - (Monthly Snapshot)MonthlyFinancial Year2019/202058.6571.9850.65181.2879.9855.9829.32165.2831.9939.9934.66106.6431.9934.6616.0082.64Up is Bad ASCOF2B1Proportion of older people (65 and over) who were still at home 91 days after discharge from hospital into reablement/rehabilitation servicesAnnualFinancial Year2011/2012100.00Up is Good ASCOF2B1Proportion of older people (65 and over) who were still at home 91 days after discharge from hospital into reablement/rehabilitation servicesAnnualFinancial Year2012/201369.80Up is Good ASCOF2B1Proportion of older people (65 and over) who were still at home 91 days after discharge from hospital into reablement/rehabilitation servicesAnnualFinancial Year2013/201480.90Up is Good ASCOF2B1Proportion of older people (65 and over) who were still at home 91 days after discharge from hospital into reablement/rehabilitation servicesAnnualFinancial Year2014/201581.50Up is Good ASCOF2B1Proportion of older people (65 and over) who were still at home 91 days after discharge from hospital into reablement/rehabilitation servicesAnnualFinancial Year2015/201675.70Up is Good ASCOF2B1Proportion of older people (65 and over) who were still at home 91 days after discharge from hospital into reablement/rehabilitation servicesAnnualFinancial Year2016/201779.25Up is Good ASCOF2B1Proportion of older people (65 and over) who were still at home 91 days after discharge from hospital into reablement/rehabilitation servicesAnnualFinancial Year2017/201892.50Up is Good ASCOF2B1Proportion of older people (65 and over) who were still at home 91 days after discharge from hospital into reablement/rehabilitation servicesAnnualFinancial Year2018/201983.00Up is Good ASCOF2B1Proportion of older people (65 and over) who were still at home 91 days after discharge from hospital into reablement/rehabilitation servicesAnnualFinancial Year2019/2020Up is Good ASCOF2B2Proportion of older people (65 and over) who were offered reablement services following discharge from hospitalAnnualFinancial Year2011/20120.40Up is Good ASCOF2B2Proportion of older people (65 and over) who were offered reablement services following discharge from hospitalAnnualFinancial Year2012/20130.70Up is Good ASCOF2B2Proportion of older people (65 and over) who were offered reablement services following discharge from hospitalAnnualFinancial Year2013/20141.10Up is Good ASCOF2B2Proportion of older people (65 and over) who were offered reablement services following discharge from hospitalAnnualFinancial Year2014/20150.90Up is Good ASCOF2B2Proportion of older people (65 and over) who were offered reablement services following discharge from hospitalAnnualFinancial Year2015/20162.20Up is Good ASCOF2B2Proportion of older people (65 and over) who were offered reablement services following discharge from hospitalAnnualFinancial Year2016/20170.78Up is Good ASCOF2B2Proportion of older people (65 and over) who were offered reablement services following discharge from hospitalAnnualFinancial Year2017/20180.80Up is Good ASCOF2B2Proportion of older people (65 and over) who were offered reablement services following discharge from hospitalAnnualFinancial Year2018/20190.70Up is Good ASCOF2B2Proportion of older people (65 and over) who were offered reablement services following discharge from hospitalAnnualFinancial Year2019/2020Up is Good ASCOF2C1Delayed transfers of care from hospital, per 100,000 population (New definition from 2017/18) - (YTD Average)MonthlyFinancial Year2011/201217.30Up is Bad ASCOF2C1Delayed transfers of care from hospital, per 100,000 population (New definition from 2017/18) - (YTD Average)MonthlyFinancial Year2012/201318.20Up is Bad ASCOF2C1Delayed transfers of care from hospital, per 100,000 population (New definition from 2017/18) - (YTD Average)MonthlyFinancial Year2013/201417.60Up is Bad ASCOF2C1Delayed transfers of care from hospital, per 100,000 population (New definition from 2017/18) - (YTD Average)MonthlyFinancial Year2014/201511.609.1511.9813.0113.0112.3512.5613.0113.0113.1613.5713.1513.1512.8712.1411.8911.89Up is Bad ASCOF2C1Delayed transfers of care from hospital, per 100,000 population (New definition from 2017/18) - (YTD Average)MonthlyFinancial Year2015/201613.206.559.5310.7310.7310.8811.3211.8211.8211.4112.0712.3212.3213.2913.3113.3613.36Up is Bad ASCOF2C1Delayed transfers of care from hospital, per 100,000 population (New definition from 2017/18) - (YTD Average)MonthlyFinancial Year2016/201716.8518.2216.1617.6317.6317.6317.8718.0218.0218.1318.5918.0218.0217.2216.7216.8516.85Up is Bad ASCOF2C1Delayed transfers of care from hospital, per 100,000 population (New definition from 2017/18) - (YTD Average)MonthlyFinancial Year2017/201813.5014.5013.4012.1012.1011.4011.4011.9011.9012.1012.4013.1013.1013.3013.4013.5013.50Up is Bad ASCOF2C1Delayed transfers of care from hospital, per 100,000 population (New definition from 2017/18) - (YTD Average)MonthlyFinancial Year2018/201917.3019.8018.8019.2019.2017.4017.6017.7017.7018.0017.8017.7017.7017.6017.6017.5017.50Up is Bad ASCOF2C1Delayed transfers of care from hospital, per 100,000 population (New definition from 2017/18) - (YTD Average)MonthlyFinancial Year2019/202021.8021.1020.3020.3018.7017.5017.3017.3016.7016.0015.6015.6015.7015.60Up is Bad ASCOF2C1aDelayed transfers of care from hospital, per 100,000 population (New definition from 2017/18) - (Monthly Snapshot)MonthlyFinancial Year2015/201613.366.5512.5113.1110.7211.3213.1114.3012.918.9416.6814.3013.3122.0511.3216.0916.49Up is Bad ASCOF2C1aDelayed transfers of care from hospital, per 100,000 population (New definition from 2017/18) - (Monthly Snapshot)MonthlyFinancial Year2016/201716.8518.2214.1020.5717.6317.6318.8118.8118.4118.8121.7413.5218.029.9911.7518.2213.32Up is Bad ASCOF2C1aDelayed transfers of care from hospital, per 100,000 population (New definition from 2017/18) - (Monthly Snapshot)MonthlyFinancial Year2017/201813.5014.5012.309.6012.109.1011.4014.6011.7013.2014.5018.7015.5014.9015.1013.9014.60Up is Bad ASCOF2C1aDelayed transfers of care from hospital, per 100,000 population (New definition from 2017/18) - (Monthly Snapshot)MonthlyFinancial Year2018/201917.3019.8017.8020.0019.2011.8018.3018.6016.2019.4016.6017.2017.7016.7016.9017.0016.70Up is Bad ASCOF2C1aDelayed transfers of care from hospital, per 100,000 population (New definition from 2017/18) - (Monthly Snapshot)MonthlyFinancial Year2019/202021.8020.5018.5020.3014.2012.7016.0014.3013.5010.9012.7012.4016.1015.20Up is Bad ASCOF2C2Delayed transfers of care from hospital which are attributable to adult social care, per 100,000 population (New definition from 2017/18) - (YTD Average)MonthlyFinancial Year2011/20123.20Up is Bad ASCOF2C2Delayed transfers of care from hospital which are attributable to adult social care, per 100,000 population (New definition from 2017/18) - (YTD Average)MonthlyFinancial Year2012/201310.70Up is Bad ASCOF2C2Delayed transfers of care from hospital which are attributable to adult social care, per 100,000 population (New definition from 2017/18) - (YTD Average)MonthlyFinancial Year2013/201411.10Up is Bad ASCOF2C2Delayed transfers of care from hospital which are attributable to adult social care, per 100,000 population (New definition from 2017/18) - (YTD Average)MonthlyFinancial Year2014/20156.304.273.965.085.085.795.986.206.206.627.097.257.257.086.606.356.35Up is Bad ASCOF2C2Delayed transfers of care from hospital which are attributable to adult social care, per 100,000 population (New definition from 2017/18) - (YTD Average)MonthlyFinancial Year2015/20166.902.383.874.774.775.365.365.865.865.966.186.166.166.976.836.956.95Up is Bad ASCOF2C2Delayed transfers of care from hospital which are attributable to adult social care, per 100,000 population (New definition from 2017/18) - (YTD Average)MonthlyFinancial Year2016/20177.499.408.239.999.999.999.649.319.318.909.048.758.758.117.647.497.49Up is Bad ASCOF2C2Delayed transfers of care from hospital which are attributable to adult social care, per 100,000 population (New definition from 2017/18) - (YTD Average)MonthlyFinancial Year2017/20186.405.805.104.604.604.604.505.205.205.606.006.506.506.506.506.406.40Up is Bad ASCOF2C2Delayed transfers of care from hospital which are attributable to adult social care, per 100,000 population (New definition from 2017/18) - (YTD Average)MonthlyFinancial Year2018/20196.607.307.607.907.906.907.207.407.407.507.507.207.207.006.806.606.60Up is Bad ASCOF2C2Delayed transfers of care from hospital which are attributable to adult social care, per 100,000 population (New definition from 2017/18) - (YTD Average)MonthlyFinancial Year2019/20205.305.405.905.905.805.605.605.605.505.105.005.005.005.00Up is Bad ASCOF2C2aDelayed transfers of care from hospital which are attributable to adult social care, per 100,000 population (New definition from 2017/18) - (Monthly Snapshot)MonthlyFinancial Year2015/20166.952.385.366.554.767.155.368.346.956.557.755.966.7514.305.368.349.33Up is Bad ASCOF2C2aDelayed transfers of care from hospital which are attributable to adult social care, per 100,000 population (New definition from 2017/18) - (Monthly Snapshot)MonthlyFinancial Year2016/20177.499.407.0513.529.999.998.237.648.626.469.996.467.632.352.945.883.72Up is Bad ASCOF2C2aDelayed transfers of care from hospital which are attributable to adult social care, per 100,000 population (New definition from 2017/18) - (Monthly Snapshot)MonthlyFinancial Year2017/20186.405.804.403.704.604.604.308.405.807.908.8010.309.006.806.404.806.00Up is Bad ASCOF2C2aDelayed transfers of care from hospital which are attributable to adult social care, per 100,000 population (New definition from 2017/18) - (Monthly Snapshot)MonthlyFinancial Year2018/20196.607.308.008.407.904.108.208.607.008.107.405.006.804.605.604.204.80Up is Bad ASCOF2C2aDelayed transfers of care from hospital which are attributable to adult social care, per 100,000 population (New definition from 2017/18) - (Monthly Snapshot)MonthlyFinancial Year2019/20205.305.407.105.905.504.905.705.404.502.604.003.705.304.80Up is Bad ASCOF3AOverall satisfaction of people who use services with their care and supportAnnualFinancial Year2011/201264.00Up is Good ASCOF3AOverall satisfaction of people who use services with their care and supportAnnualFinancial Year2012/201365.80Up is Good ASCOF3AOverall satisfaction of people who use services with their care and supportAnnualFinancial Year2013/201467.40Up is Good ASCOF3AOverall satisfaction of people who use services with their care and supportAnnualFinancial Year2014/201567.10Up is Good ASCOF3AOverall satisfaction of people who use services with their care and supportAnnualFinancial Year2015/201664.00Up is Good ASCOF3AOverall satisfaction of people who use services with their care and supportAnnualFinancial Year2016/201762.40Up is Good ASCOF3AOverall satisfaction of people who use services with their care and supportAnnualFinancial Year2017/201862.90Up is Good ASCOF3AOverall satisfaction of people who use services with their care and supportAnnualFinancial Year2018/201963.80Up is Good ASCOF3AOverall satisfaction of people who use services with their care and supportAnnualFinancial Year2019/2020Up is Good BW06aNo of council homes in York failing to meet the decency standardAnnualFinancial Year2010/20110.00Up is Bad BW06aNo of council homes in York failing to meet the decency standardAnnualFinancial Year2011/201227.00Up is Bad BW06aNo of council homes in York failing to meet the decency standardAnnualFinancial Year2012/201336.00Up is Bad BW06aNo of council homes in York failing to meet the decency standardAnnualFinancial Year2013/201415.00Up is Bad BW06aNo of council homes in York failing to meet the decency standardAnnualFinancial Year2014/20153.00Up is Bad BW06aNo of council homes in York failing to meet the decency standardAnnualFinancial Year2015/20160.000.000.000.00Up is Bad BW06aNo of council homes in York failing to meet the decency standardAnnualFinancial Year2016/2017298.00Up is Bad BW06aNo of council homes in York failing to meet the decency standardAnnualFinancial Year2017/2018546.00Up is Bad BW06aNo of council homes in York failing to meet the decency standardAnnualFinancial Year2018/2019713.00Up is Bad CAN027Average Annual Mean Nitrogen Dioxide concentration in Salisbury Terrace (ug/m3) (Calendar Year)AnnualFinancial Year2010/201144.00Up is Bad CAN027Average Annual Mean Nitrogen Dioxide concentration in Salisbury Terrace (ug/m3) (Calendar Year)AnnualFinancial Year2011/201237.04Up is Bad CAN027Average Annual Mean Nitrogen Dioxide concentration in Salisbury Terrace (ug/m3) (Calendar Year)AnnualFinancial Year2012/201334.42Up is Bad CAN027Average Annual Mean Nitrogen Dioxide concentration in Salisbury Terrace (ug/m3) (Calendar Year)AnnualFinancial Year2013/201429.51Up is Bad CAN027Average Annual Mean Nitrogen Dioxide concentration in Salisbury Terrace (ug/m3) (Calendar Year)AnnualFinancial Year2014/201532.07Up is Bad CAN027Average Annual Mean Nitrogen Dioxide concentration in Salisbury Terrace (ug/m3) (Calendar Year)AnnualFinancial Year2015/201628.02Up is Bad CAN027Average Annual Mean Nitrogen Dioxide concentration in Salisbury Terrace (ug/m3) (Calendar Year)AnnualFinancial Year2016/201728.70Up is Bad CAN027Average Annual Mean Nitrogen Dioxide concentration in Salisbury Terrace (ug/m3) (Calendar Year)AnnualFinancial Year2017/201827.61Up is Bad CAN027Average Annual Mean Nitrogen Dioxide concentration in Salisbury Terrace (ug/m3) (Calendar Year)AnnualFinancial Year2018/201927.60Up is Bad CAN027aAverage Annual Mean Nitrogen Dioxide concentration in Prices/Nunnery Lane (ug/m3) (Calendar Year)AnnualFinancial Year2010/201149.98Up is Bad CAN027aAverage Annual Mean Nitrogen Dioxide concentration in Prices/Nunnery Lane (ug/m3) (Calendar Year)AnnualFinancial Year2011/201243.61Up is Bad CAN027aAverage Annual Mean Nitrogen Dioxide concentration in Prices/Nunnery Lane (ug/m3) (Calendar Year)AnnualFinancial Year2012/201340.61Up is Bad CAN027aAverage Annual Mean Nitrogen Dioxide concentration in Prices/Nunnery Lane (ug/m3) (Calendar Year)AnnualFinancial Year2013/201434.36Up is Bad CAN027aAverage Annual Mean Nitrogen Dioxide concentration in Prices/Nunnery Lane (ug/m3) (Calendar Year)AnnualFinancial Year2014/201535.08Up is Bad CAN027aAverage Annual Mean Nitrogen Dioxide concentration in Prices/Nunnery Lane (ug/m3) (Calendar Year)AnnualFinancial Year2015/201630.81Up is Bad CAN027aAverage Annual Mean Nitrogen Dioxide concentration in Prices/Nunnery Lane (ug/m3) (Calendar Year)AnnualFinancial Year2016/201732.60Up is Bad CAN027aAverage Annual Mean Nitrogen Dioxide concentration in Prices/Nunnery Lane (ug/m3) (Calendar Year)AnnualFinancial Year2017/201829.94Up is Bad CAN027aAverage Annual Mean Nitrogen Dioxide concentration in Prices/Nunnery Lane (ug/m3) (Calendar Year)AnnualFinancial Year2018/201929.70Up is Bad CAN027bAverage Annual Mean Nitrogen Dioxide concentration in Blossom St/Holgate (ug/m3) (Calendar Year)AnnualFinancial Year2010/201152.07Up is Bad CAN027bAverage Annual Mean Nitrogen Dioxide concentration in Blossom St/Holgate (ug/m3) (Calendar Year)AnnualFinancial Year2011/201246.36Up is Bad CAN027bAverage Annual Mean Nitrogen Dioxide concentration in Blossom St/Holgate (ug/m3) (Calendar Year)AnnualFinancial Year2012/201343.28Up is Bad CAN027bAverage Annual Mean Nitrogen Dioxide concentration in Blossom St/Holgate (ug/m3) (Calendar Year)AnnualFinancial Year2013/201437.79Up is Bad CAN027bAverage Annual Mean Nitrogen Dioxide concentration in Blossom St/Holgate (ug/m3) (Calendar Year)AnnualFinancial Year2014/201538.18Up is Bad CAN027bAverage Annual Mean Nitrogen Dioxide concentration in Blossom St/Holgate (ug/m3) (Calendar Year)AnnualFinancial Year2015/201635.02Up is Bad CAN027bAverage Annual Mean Nitrogen Dioxide concentration in Blossom St/Holgate (ug/m3) (Calendar Year)AnnualFinancial Year2016/201736.00Up is Bad CAN027bAverage Annual Mean Nitrogen Dioxide concentration in Blossom St/Holgate (ug/m3) (Calendar Year)AnnualFinancial Year2017/201833.14Up is Bad CAN027bAverage Annual Mean Nitrogen Dioxide concentration in Blossom St/Holgate (ug/m3) (Calendar Year)AnnualFinancial Year2018/201933.70Up is Bad CAN027cAverage Annual Mean Nitrogen Dioxide concentration in Fishergate/Paragon (ug/m3) (Calendar Year)AnnualFinancial Year2010/201147.51Up is Bad CAN027cAverage Annual Mean Nitrogen Dioxide concentration in Fishergate/Paragon (ug/m3) (Calendar Year)AnnualFinancial Year2011/201237.34Up is Bad CAN027cAverage Annual Mean Nitrogen Dioxide concentration in Fishergate/Paragon (ug/m3) (Calendar Year)AnnualFinancial Year2012/201335.37Up is Bad CAN027cAverage Annual Mean Nitrogen Dioxide concentration in Fishergate/Paragon (ug/m3) (Calendar Year)AnnualFinancial Year2013/201431.05Up is Bad CAN027cAverage Annual Mean Nitrogen Dioxide concentration in Fishergate/Paragon (ug/m3) (Calendar Year)AnnualFinancial Year2014/201532.71Up is Bad CAN027cAverage Annual Mean Nitrogen Dioxide concentration in Fishergate/Paragon (ug/m3) (Calendar Year)AnnualFinancial Year2015/201628.91Up is Bad CAN027cAverage Annual Mean Nitrogen Dioxide concentration in Fishergate/Paragon (ug/m3) (Calendar Year)AnnualFinancial Year2016/201729.90Up is Bad CAN027cAverage Annual Mean Nitrogen Dioxide concentration in Fishergate/Paragon (ug/m3) (Calendar Year)AnnualFinancial Year2017/201827.33Up is Bad CAN027cAverage Annual Mean Nitrogen Dioxide concentration in Fishergate/Paragon (ug/m3) (Calendar Year)AnnualFinancial Year2018/201927.30Up is Bad CAN027dAverage Annual Mean Nitrogen Dioxide concentration in Lawrence St (ug/m3) (Calendar Year)AnnualFinancial Year2010/201144.57Up is Bad CAN027dAverage Annual Mean Nitrogen Dioxide concentration in Lawrence St (ug/m3) (Calendar Year)AnnualFinancial Year2011/201242.84Up is Bad CAN027dAverage Annual Mean Nitrogen Dioxide concentration in Lawrence St (ug/m3) (Calendar Year)AnnualFinancial Year2012/201339.60Up is Bad CAN027dAverage Annual Mean Nitrogen Dioxide concentration in Lawrence St (ug/m3) (Calendar Year)AnnualFinancial Year2013/201435.67Up is Bad CAN027dAverage Annual Mean Nitrogen Dioxide concentration in Lawrence St (ug/m3) (Calendar Year)AnnualFinancial Year2014/201534.34Up is Bad CAN027dAverage Annual Mean Nitrogen Dioxide concentration in Lawrence St (ug/m3) (Calendar Year)AnnualFinancial Year2015/201631.44Up is Bad CAN027dAverage Annual Mean Nitrogen Dioxide concentration in Lawrence St (ug/m3) (Calendar Year)AnnualFinancial Year2016/201732.40Up is Bad CAN027dAverage Annual Mean Nitrogen Dioxide concentration in Lawrence St (ug/m3) (Calendar Year)AnnualFinancial Year2017/201829.87Up is Bad CAN027dAverage Annual Mean Nitrogen Dioxide concentration in Lawrence St (ug/m3) (Calendar Year)AnnualFinancial Year2018/201929.60Up is Bad CAN027eAverage Annual Mean Nitrogen Dioxide concentration in Fulford (ug/m3) (Calendar Year)AnnualFinancial Year2010/201142.88Up is Bad CAN027eAverage Annual Mean Nitrogen Dioxide concentration in Fulford (ug/m3) (Calendar Year)AnnualFinancial Year2011/201236.18Up is Bad CAN027eAverage Annual Mean Nitrogen Dioxide concentration in Fulford (ug/m3) (Calendar Year)AnnualFinancial Year2012/201333.19Up is Bad CAN027eAverage Annual Mean Nitrogen Dioxide concentration in Fulford (ug/m3) (Calendar Year)AnnualFinancial Year2013/201428.03Up is Bad CAN027eAverage Annual Mean Nitrogen Dioxide concentration in Fulford (ug/m3) (Calendar Year)AnnualFinancial Year2014/201530.09Up is Bad CAN027eAverage Annual Mean Nitrogen Dioxide concentration in Fulford (ug/m3) (Calendar Year)AnnualFinancial Year2015/201628.49Up is Bad CAN027eAverage Annual Mean Nitrogen Dioxide concentration in Fulford (ug/m3) (Calendar Year)AnnualFinancial Year2016/201727.40Up is Bad CAN027eAverage Annual Mean Nitrogen Dioxide concentration in Fulford (ug/m3) (Calendar Year)AnnualFinancial Year2017/201826.93Up is Bad CAN027eAverage Annual Mean Nitrogen Dioxide concentration in Fulford (ug/m3) (Calendar Year)AnnualFinancial Year2018/201925.40Up is Bad CAN027fAverage Annual Mean Nitrogen Dioxide concentration in Gillygate / LMW (ug/m3) (Calendar Year)AnnualFinancial Year2010/201151.33Up is Bad CAN027fAverage Annual Mean Nitrogen Dioxide concentration in Gillygate / LMW (ug/m3) (Calendar Year)AnnualFinancial Year2011/201249.48Up is Bad CAN027fAverage Annual Mean Nitrogen Dioxide concentration in Gillygate / LMW (ug/m3) (Calendar Year)AnnualFinancial Year2012/201342.98Up is Bad CAN027fAverage Annual Mean Nitrogen Dioxide concentration in Gillygate / LMW (ug/m3) (Calendar Year)AnnualFinancial Year2013/201438.38Up is Bad CAN027fAverage Annual Mean Nitrogen Dioxide concentration in Gillygate / LMW (ug/m3) (Calendar Year)AnnualFinancial Year2014/201540.47Up is Bad CAN027fAverage Annual Mean Nitrogen Dioxide concentration in Gillygate / LMW (ug/m3) (Calendar Year)AnnualFinancial Year2015/201635.16Up is Bad CAN027fAverage Annual Mean Nitrogen Dioxide concentration in Gillygate / LMW (ug/m3) (Calendar Year)AnnualFinancial Year2016/201735.80Up is Bad CAN027fAverage Annual Mean Nitrogen Dioxide concentration in Gillygate / LMW (ug/m3) (Calendar Year)AnnualFinancial Year2017/201833.26Up is Bad CAN027fAverage Annual Mean Nitrogen Dioxide concentration in Gillygate / LMW (ug/m3) (Calendar Year)AnnualFinancial Year2018/201934.20Up is Bad CAN027gAverage Annual Mean Nitrogen Dioxide concentration in Rougier St/GHS (ug/m3) (Calendar Year)AnnualFinancial Year2010/201174.86Up is Bad CAN027gAverage Annual Mean Nitrogen Dioxide concentration in Rougier St/GHS (ug/m3) (Calendar Year)AnnualFinancial Year2011/201262.32Up is Bad CAN027gAverage Annual Mean Nitrogen Dioxide concentration in Rougier St/GHS (ug/m3) (Calendar Year)AnnualFinancial Year2012/201352.43Up is Bad CAN027gAverage Annual Mean Nitrogen Dioxide concentration in Rougier St/GHS (ug/m3) (Calendar Year)AnnualFinancial Year2013/201445.49Up is Bad CAN027gAverage Annual Mean Nitrogen Dioxide concentration in Rougier St/GHS (ug/m3) (Calendar Year)AnnualFinancial Year2014/201549.67Up is Bad CAN027gAverage Annual Mean Nitrogen Dioxide concentration in Rougier St/GHS (ug/m3) (Calendar Year)AnnualFinancial Year2015/201643.87Up is Bad CAN027gAverage Annual Mean Nitrogen Dioxide concentration in Rougier St/GHS (ug/m3) (Calendar Year)AnnualFinancial Year2016/201745.20Up is Bad CAN027gAverage Annual Mean Nitrogen Dioxide concentration in Rougier St/GHS (ug/m3) (Calendar Year)AnnualFinancial Year2017/201842.79Up is Bad CAN027gAverage Annual Mean Nitrogen Dioxide concentration in Rougier St/GHS (ug/m3) (Calendar Year)AnnualFinancial Year2018/201946.10Up is Bad CAN028The maximum Nitrogen Dioxide concentration in Salisbury Terrace (ug/m3) (Calendar Year)AnnualFinancial Year2010/201146.63Up is Bad CAN028The maximum Nitrogen Dioxide concentration in Salisbury Terrace (ug/m3) (Calendar Year)AnnualFinancial Year2011/201241.60Up is Bad CAN028The maximum Nitrogen Dioxide concentration in Salisbury Terrace (ug/m3) (Calendar Year)AnnualFinancial Year2012/201339.91Up is Bad CAN028The maximum Nitrogen Dioxide concentration in Salisbury Terrace (ug/m3) (Calendar Year)AnnualFinancial Year2013/201436.08Up is Bad CAN028The maximum Nitrogen Dioxide concentration in Salisbury Terrace (ug/m3) (Calendar Year)AnnualFinancial Year2014/201537.60Up is Bad CAN028The maximum Nitrogen Dioxide concentration in Salisbury Terrace (ug/m3) (Calendar Year)AnnualFinancial Year2015/201631.85Up is Bad CAN028The maximum Nitrogen Dioxide concentration in Salisbury Terrace (ug/m3) (Calendar Year)AnnualFinancial Year2016/201734.70Up is Bad CAN028The maximum Nitrogen Dioxide concentration in Salisbury Terrace (ug/m3) (Calendar Year)AnnualFinancial Year2017/201831.72Up is Bad CAN028The maximum Nitrogen Dioxide concentration in Salisbury Terrace (ug/m3) (Calendar Year)AnnualFinancial Year2018/201931.80Up is Bad CAN028aThe maximum Nitrogen Dioxide concentration in Prices/Nunnery Lane (ug/m3) (Calendar Year)AnnualFinancial Year2010/201166.14Up is Bad CAN028aThe maximum Nitrogen Dioxide concentration in Prices/Nunnery Lane (ug/m3) (Calendar Year)AnnualFinancial Year2011/201257.71Up is Bad CAN028aThe maximum Nitrogen Dioxide concentration in Prices/Nunnery Lane (ug/m3) (Calendar Year)AnnualFinancial Year2012/201350.96Up is Bad CAN028aThe maximum Nitrogen Dioxide concentration in Prices/Nunnery Lane (ug/m3) (Calendar Year)AnnualFinancial Year2013/201440.83Up is Bad CAN028aThe maximum Nitrogen Dioxide concentration in Prices/Nunnery Lane (ug/m3) (Calendar Year)AnnualFinancial Year2014/201542.00Up is Bad CAN028aThe maximum Nitrogen Dioxide concentration in Prices/Nunnery Lane (ug/m3) (Calendar Year)AnnualFinancial Year2015/201637.51Up is Bad CAN028aThe maximum Nitrogen Dioxide concentration in Prices/Nunnery Lane (ug/m3) (Calendar Year)AnnualFinancial Year2016/201736.90Up is Bad CAN028aThe maximum Nitrogen Dioxide concentration in Prices/Nunnery Lane (ug/m3) (Calendar Year)AnnualFinancial Year2017/201836.35Up is Bad CAN028aThe maximum Nitrogen Dioxide concentration in Prices/Nunnery Lane (ug/m3) (Calendar Year)AnnualFinancial Year2018/201935.60Up is Bad CAN028bThe maximum Nitrogen Dioxide concentration in Blossom St/Holgate (ug/m3) (Calendar Year)AnnualFinancial Year2010/201173.37Up is Bad CAN028bThe maximum Nitrogen Dioxide concentration in Blossom St/Holgate (ug/m3) (Calendar Year)AnnualFinancial Year2011/201262.49Up is Bad CAN028bThe maximum Nitrogen Dioxide concentration in Blossom St/Holgate (ug/m3) (Calendar Year)AnnualFinancial Year2012/201354.23Up is Bad CAN028bThe maximum Nitrogen Dioxide concentration in Blossom St/Holgate (ug/m3) (Calendar Year)AnnualFinancial Year2013/201451.59Up is Bad CAN028bThe maximum Nitrogen Dioxide concentration in Blossom St/Holgate (ug/m3) (Calendar Year)AnnualFinancial Year2014/201549.18Up is Bad CAN028bThe maximum Nitrogen Dioxide concentration in Blossom St/Holgate (ug/m3) (Calendar Year)AnnualFinancial Year2015/201646.92Up is Bad CAN028bThe maximum Nitrogen Dioxide concentration in Blossom St/Holgate (ug/m3) (Calendar Year)AnnualFinancial Year2016/201747.70Up is Bad CAN028bThe maximum Nitrogen Dioxide concentration in Blossom St/Holgate (ug/m3) (Calendar Year)AnnualFinancial Year2017/201845.86Up is Bad CAN028bThe maximum Nitrogen Dioxide concentration in Blossom St/Holgate (ug/m3) (Calendar Year)AnnualFinancial Year2018/201946.30Up is Bad CAN028cThe maximum Nitrogen Dioxide concentration in Fishergate/Paragon (ug/m3) (Calendar Year)AnnualFinancial Year2010/201156.68Up is Bad CAN028cThe maximum Nitrogen Dioxide concentration in Fishergate/Paragon (ug/m3) (Calendar Year)AnnualFinancial Year2011/201248.06Up is Bad CAN028cThe maximum Nitrogen Dioxide concentration in Fishergate/Paragon (ug/m3) (Calendar Year)AnnualFinancial Year2012/201345.51Up is Bad CAN028cThe maximum Nitrogen Dioxide concentration in Fishergate/Paragon (ug/m3) (Calendar Year)AnnualFinancial Year2013/201439.97Up is Bad CAN028cThe maximum Nitrogen Dioxide concentration in Fishergate/Paragon (ug/m3) (Calendar Year)AnnualFinancial Year2014/201545.22Up is Bad CAN028cThe maximum Nitrogen Dioxide concentration in Fishergate/Paragon (ug/m3) (Calendar Year)AnnualFinancial Year2015/201637.68Up is Bad CAN028cThe maximum Nitrogen Dioxide concentration in Fishergate/Paragon (ug/m3) (Calendar Year)AnnualFinancial Year2016/201737.50Up is Bad CAN028cThe maximum Nitrogen Dioxide concentration in Fishergate/Paragon (ug/m3) (Calendar Year)AnnualFinancial Year2017/201836.24Up is Bad CAN028cThe maximum Nitrogen Dioxide concentration in Fishergate/Paragon (ug/m3) (Calendar Year)AnnualFinancial Year2018/201936.10Up is Bad CAN028dThe maximum Nitrogen Dioxide concentration in Lawrence St (ug/m3) (Calendar Year)AnnualFinancial Year2010/201155.63Up is Bad CAN028dThe maximum Nitrogen Dioxide concentration in Lawrence St (ug/m3) (Calendar Year)AnnualFinancial Year2011/201262.64Up is Bad CAN028dThe maximum Nitrogen Dioxide concentration in Lawrence St (ug/m3) (Calendar Year)AnnualFinancial Year2012/201356.46Up is Bad CAN028dThe maximum Nitrogen Dioxide concentration in Lawrence St (ug/m3) (Calendar Year)AnnualFinancial Year2013/201447.45Up is Bad CAN028dThe maximum Nitrogen Dioxide concentration in Lawrence St (ug/m3) (Calendar Year)AnnualFinancial Year2014/201546.97Up is Bad CAN028dThe maximum Nitrogen Dioxide concentration in Lawrence St (ug/m3) (Calendar Year)AnnualFinancial Year2015/201644.59Up is Bad CAN028dThe maximum Nitrogen Dioxide concentration in Lawrence St (ug/m3) (Calendar Year)AnnualFinancial Year2016/201742.70Up is Bad CAN028dThe maximum Nitrogen Dioxide concentration in Lawrence St (ug/m3) (Calendar Year)AnnualFinancial Year2017/201842.78Up is Bad CAN028dThe maximum Nitrogen Dioxide concentration in Lawrence St (ug/m3) (Calendar Year)AnnualFinancial Year2018/201941.80Up is Bad CAN028eThe maximum Nitrogen Dioxide concentration in Fulford (ug/m3) (Calendar Year)AnnualFinancial Year2010/201155.76Up is Bad CAN028eThe maximum Nitrogen Dioxide concentration in Fulford (ug/m3) (Calendar Year)AnnualFinancial Year2011/201246.34Up is Bad CAN028eThe maximum Nitrogen Dioxide concentration in Fulford (ug/m3) (Calendar Year)AnnualFinancial Year2012/201343.16Up is Bad CAN028eThe maximum Nitrogen Dioxide concentration in Fulford (ug/m3) (Calendar Year)AnnualFinancial Year2013/201436.29Up is Bad CAN028eThe maximum Nitrogen Dioxide concentration in Fulford (ug/m3) (Calendar Year)AnnualFinancial Year2014/201539.46Up is Bad CAN028eThe maximum Nitrogen Dioxide concentration in Fulford (ug/m3) (Calendar Year)AnnualFinancial Year2015/201636.83Up is Bad CAN028eThe maximum Nitrogen Dioxide concentration in Fulford (ug/m3) (Calendar Year)AnnualFinancial Year2016/201735.50Up is Bad CAN028eThe maximum Nitrogen Dioxide concentration in Fulford (ug/m3) (Calendar Year)AnnualFinancial Year2017/201835.25Up is Bad CAN028eThe maximum Nitrogen Dioxide concentration in Fulford (ug/m3) (Calendar Year)AnnualFinancial Year2018/201932.70Up is Bad CAN028fThe maximum Nitrogen Dioxide concentration in Gillygate / LMW (ug/m3) (Calendar Year)AnnualFinancial Year2010/201161.36Up is Bad CAN028fThe maximum Nitrogen Dioxide concentration in Gillygate / LMW (ug/m3) (Calendar Year)AnnualFinancial Year2011/201262.01Up is Bad CAN028fThe maximum Nitrogen Dioxide concentration in Gillygate / LMW (ug/m3) (Calendar Year)AnnualFinancial Year2012/201361.67Up is Bad CAN028fThe maximum Nitrogen Dioxide concentration in Gillygate / LMW (ug/m3) (Calendar Year)AnnualFinancial Year2013/201450.71Up is Bad CAN028fThe maximum Nitrogen Dioxide concentration in Gillygate / LMW (ug/m3) (Calendar Year)AnnualFinancial Year2014/201552.17Up is Bad CAN028fThe maximum Nitrogen Dioxide concentration in Gillygate / LMW (ug/m3) (Calendar Year)AnnualFinancial Year2015/201647.13Up is Bad CAN028fThe maximum Nitrogen Dioxide concentration in Gillygate / LMW (ug/m3) (Calendar Year)AnnualFinancial Year2016/201747.50Up is Bad CAN028fThe maximum Nitrogen Dioxide concentration in Gillygate / LMW (ug/m3) (Calendar Year)AnnualFinancial Year2017/201843.93Up is Bad CAN028fThe maximum Nitrogen Dioxide concentration in Gillygate / LMW (ug/m3) (Calendar Year)AnnualFinancial Year2018/201946.60Up is Bad CAN028gThe maximum Nitrogen Dioxide concentration in Rougier St/GHS (ug/m3) (Calendar Year)AnnualFinancial Year2010/201181.38Up is Bad CAN028gThe maximum Nitrogen Dioxide concentration in Rougier St/GHS (ug/m3) (Calendar Year)AnnualFinancial Year2011/201268.85Up is Bad CAN028gThe maximum Nitrogen Dioxide concentration in Rougier St/GHS (ug/m3) (Calendar Year)AnnualFinancial Year2012/201361.75Up is Bad CAN028gThe maximum Nitrogen Dioxide concentration in Rougier St/GHS (ug/m3) (Calendar Year)AnnualFinancial Year2013/201450.85Up is Bad CAN028gThe maximum Nitrogen Dioxide concentration in Rougier St/GHS (ug/m3) (Calendar Year)AnnualFinancial Year2014/201554.75Up is Bad CAN028gThe maximum Nitrogen Dioxide concentration in Rougier St/GHS (ug/m3) (Calendar Year)AnnualFinancial Year2015/201647.98Up is Bad CAN028gThe maximum Nitrogen Dioxide concentration in Rougier St/GHS (ug/m3) (Calendar Year)AnnualFinancial Year2016/201749.90Up is Bad CAN028gThe maximum Nitrogen Dioxide concentration in Rougier St/GHS (ug/m3) (Calendar Year)AnnualFinancial Year2017/201845.77Up is Bad CAN028gThe maximum Nitrogen Dioxide concentration in Rougier St/GHS (ug/m3) (Calendar Year)AnnualFinancial Year2018/201945.50Up is Bad CES020CO2 emissions (tonnes) per head of population (within LA scope) (Calendar Year)AnnualFinancial Year2005/20066.906.90Up is Bad CES020CO2 emissions (tonnes) per head of population (within LA scope) (Calendar Year)AnnualFinancial Year2006/20076.906.90Up is Bad CES020CO2 emissions (tonnes) per head of population (within LA scope) (Calendar Year)AnnualFinancial Year2007/20086.306.30Up is Bad CES020CO2 emissions (tonnes) per head of population (within LA scope) (Calendar Year)AnnualFinancial Year2008/20096.106.10Up is Bad CES020CO2 emissions (tonnes) per head of population (within LA scope) (Calendar Year)AnnualFinancial Year2009/20105.605.60Up is Bad CES020CO2 emissions (tonnes) per head of population (within LA scope) (Calendar Year)AnnualFinancial Year2010/20115.805.80Up is Bad CES020CO2 emissions (tonnes) per head of population (within LA scope) (Calendar Year)AnnualFinancial Year2011/20125.205.20Up is Bad CES020CO2 emissions (tonnes) per head of population (within LA scope) (Calendar Year)AnnualFinancial Year2012/20135.405.40Up is Bad CES020CO2 emissions (tonnes) per head of population (within LA scope) (Calendar Year)AnnualFinancial Year2013/20145.205.20Up is Bad CES020CO2 emissions (tonnes) per head of population (within LA scope) (Calendar Year)AnnualFinancial Year2014/20154.704.70Up is Bad CES020CO2 emissions (tonnes) per head of population (within LA scope) (Calendar Year)AnnualFinancial Year2015/20164.504.50Up is Bad CES020CO2 emissions (tonnes) per head of population (within LA scope) (Calendar Year)AnnualFinancial Year2016/20174.304.30Up is Bad CES020CO2 emissions (tonnes) per head of population (within LA scope) (Calendar Year)AnnualFinancial Year2017/20184.004.00Up is Bad CES020CO2 emissions (tonnes) per head of population (within LA scope) (Calendar Year)AnnualFinancial Year2018/2019Up is Bad CES020CO2 emissions (tonnes) per head of population (within LA scope) (Calendar Year)AnnualFinancial Year2019/2020Up is Bad CES26Index of cycling activity (AM Peak) from 2009 Baseline (5,171) (Calendar Year) (LI 2a(ii))AnnualFinancial Year2009/2010100.00Up is Good CES26Index of cycling activity (AM Peak) from 2009 Baseline (5,171) (Calendar Year) (LI 2a(ii))AnnualFinancial Year2010/201199.00Up is Good CES26Index of cycling activity (AM Peak) from 2009 Baseline (5,171) (Calendar Year) (LI 2a(ii))AnnualFinancial Year2011/2012103.00Up is Good CES26Index of cycling activity (AM Peak) from 2009 Baseline (5,171) (Calendar Year) (LI 2a(ii))AnnualFinancial Year2012/2013111.00Up is Good CES26Index of cycling activity (AM Peak) from 2009 Baseline (5,171) (Calendar Year) (LI 2a(ii))AnnualFinancial Year2013/2014119.00Up is Good CES26Index of cycling activity (AM Peak) from 2009 Baseline (5,171) (Calendar Year) (LI 2a(ii))AnnualFinancial Year2014/2015127.00Up is Good CES26Index of cycling activity (AM Peak) from 2009 Baseline (5,171) (Calendar Year) (LI 2a(ii))AnnualFinancial Year2015/2016117.00Up is Good CES26Index of cycling activity (AM Peak) from 2009 Baseline (5,171) (Calendar Year) (LI 2a(ii))AnnualFinancial Year2016/2017118.00Up is Good CES26Index of cycling activity (AM Peak) from 2009 Baseline (5,171) (Calendar Year) (LI 2a(ii))AnnualFinancial Year2017/2018119.00Up is Good CES26Index of cycling activity (AM Peak) from 2009 Baseline (5,171) (Calendar Year) (LI 2a(ii))AnnualFinancial Year2018/2019117.00Up is Good CES26Index of cycling activity (AM Peak) from 2009 Baseline (5,171) (Calendar Year) (LI 2a(ii))AnnualFinancial Year2019/2020Up is Good CES27Index of cycling activity (PM Peak) from 2009 Baseline (4,557) (Calendar Year) (LI 2b(ii))AnnualFinancial Year2009/2010100.00Up is Good CES27Index of cycling activity (PM Peak) from 2009 Baseline (4,557) (Calendar Year) (LI 2b(ii))AnnualFinancial Year2010/201196.00Up is Good CES27Index of cycling activity (PM Peak) from 2009 Baseline (4,557) (Calendar Year) (LI 2b(ii))AnnualFinancial Year2011/201299.00Up is Good CES27Index of cycling activity (PM Peak) from 2009 Baseline (4,557) (Calendar Year) (LI 2b(ii))AnnualFinancial Year2012/2013113.00Up is Good CES27Index of cycling activity (PM Peak) from 2009 Baseline (4,557) (Calendar Year) (LI 2b(ii))AnnualFinancial Year2013/2014122.00Up is Good CES27Index of cycling activity (PM Peak) from 2009 Baseline (4,557) (Calendar Year) (LI 2b(ii))AnnualFinancial Year2014/2015124.00Up is Good CES27Index of cycling activity (PM Peak) from 2009 Baseline (4,557) (Calendar Year) (LI 2b(ii))AnnualFinancial Year2015/2016117.00Up is Good CES27Index of cycling activity (PM Peak) from 2009 Baseline (4,557) (Calendar Year) (LI 2b(ii))AnnualFinancial Year2016/2017122.00Up is Good CES27Index of cycling activity (PM Peak) from 2009 Baseline (4,557) (Calendar Year) (LI 2b(ii))AnnualFinancial Year2017/2018116.00Up is Good CES27Index of cycling activity (PM Peak) from 2009 Baseline (4,557) (Calendar Year) (LI 2b(ii))AnnualFinancial Year2018/2019118.00Up is Good CES27Index of cycling activity (PM Peak) from 2009 Baseline (4,557) (Calendar Year) (LI 2b(ii))AnnualFinancial Year2019/2020Up is Good CES28Index of cycling activity (12 hour) from 2009 Baseline (31,587) (Calendar Year) (LI 2c(ii))AnnualFinancial Year2009/2010100.00Up is Good CES28Index of cycling activity (12 hour) from 2009 Baseline (31,587) (Calendar Year) (LI 2c(ii))AnnualFinancial Year2010/201197.00Up is Good CES28Index of cycling activity (12 hour) from 2009 Baseline (31,587) (Calendar Year) (LI 2c(ii))AnnualFinancial Year2011/2012105.00Up is Good CES28Index of cycling activity (12 hour) from 2009 Baseline (31,587) (Calendar Year) (LI 2c(ii))AnnualFinancial Year2012/2013114.00Up is Good CES28Index of cycling activity (12 hour) from 2009 Baseline (31,587) (Calendar Year) (LI 2c(ii))AnnualFinancial Year2013/2014125.00Up is Good CES28Index of cycling activity (12 hour) from 2009 Baseline (31,587) (Calendar Year) (LI 2c(ii))AnnualFinancial Year2014/2015129.00Up is Good CES28Index of cycling activity (12 hour) from 2009 Baseline (31,587) (Calendar Year) (LI 2c(ii))AnnualFinancial Year2015/2016120.00Up is Good CES28Index of cycling activity (12 hour) from 2009 Baseline (31,587) (Calendar Year) (LI 2c(ii))AnnualFinancial Year2016/2017123.00Up is Good CES28Index of cycling activity (12 hour) from 2009 Baseline (31,587) (Calendar Year) (LI 2c(ii))AnnualFinancial Year2017/2018116.00Up is Good CES28Index of cycling activity (12 hour) from 2009 Baseline (31,587) (Calendar Year) (LI 2c(ii))AnnualFinancial Year2018/2019120.00Up is Good CES28Index of cycling activity (12 hour) from 2009 Baseline (31,587) (Calendar Year) (LI 2c(ii))AnnualFinancial Year2019/2020Up is Good CHP01Infant mortality rate (under 1 year old), per 1,000 live birthsAnnualFinancial Year2008/20094.74Up is Bad CHP01Infant mortality rate (under 1 year old), per 1,000 live birthsAnnualFinancial Year2009/20104.96Up is Bad CHP01Infant mortality rate (under 1 year old), per 1,000 live birthsAnnualFinancial Year2010/20115.04Up is Bad CHP01Infant mortality rate (under 1 year old), per 1,000 live birthsAnnualFinancial Year2011/20124.73Up is Bad CHP01Infant mortality rate (under 1 year old), per 1,000 live birthsAnnualFinancial Year2012/20133.82Up is Bad CHP01Infant mortality rate (under 1 year old), per 1,000 live birthsAnnualFinancial Year2013/20142.74Up is Bad CHP01Infant mortality rate (under 1 year old), per 1,000 live birthsAnnualFinancial Year2014/20152.92Up is Bad CHP01Infant mortality rate (under 1 year old), per 1,000 live birthsAnnualFinancial Year2015/20162.79Up is Bad CHP01Infant mortality rate (under 1 year old), per 1,000 live birthsAnnualFinancial Year2016/20172.50Up is Bad CHP01Infant mortality rate (under 1 year old), per 1,000 live birthsAnnualFinancial Year2017/20183.40Up is Bad CHP02Child mortality rate (1-17 years), per 100,000 populationAnnualFinancial Year2011/201215.80Up is Bad CHP02Child mortality rate (1-17 years), per 100,000 populationAnnualFinancial Year2012/201312.87Up is Bad CHP02Child mortality rate (1-17 years), per 100,000 populationAnnualFinancial Year2013/201410.79Up is Bad CHP02Child mortality rate (1-17 years), per 100,000 populationAnnualFinancial Year2014/201510.27Up is Bad CHP02Child mortality rate (1-17 years), per 100,000 populationAnnualFinancial Year2015/20169.32Up is Bad CHP02Child mortality rate (1-17 years), per 100,000 populationAnnualFinancial Year2016/201712.30Up is Bad CHP02Child mortality rate (1-17 years), per 100,000 populationAnnualFinancial Year2017/201812.50Up is Bad CHP18Children with one or more decayed, missing or filled teethFive YearsFinancial Year2011/201224.72Up is Bad CHP18Children with one or more decayed, missing or filled teethFive YearsFinancial Year2014/201516.40Up is Bad CHP18Children with one or more decayed, missing or filled teethFive YearsFinancial Year2015/2016N/AUp is Bad CHP18Children with one or more decayed, missing or filled teethFive YearsFinancial Year2016/201715.90Up is Bad CHP18Children with one or more decayed, missing or filled teethFive YearsFinancial Year2017/2018NCUp is Bad CHP21Teenage mothers (delivery episodes aged under 18)AnnualFinancial Year2010/20110.95Up is Bad CHP21Teenage mothers (delivery episodes aged under 18)AnnualFinancial Year2011/20121.03Up is Bad CHP21Teenage mothers (delivery episodes aged under 18)AnnualFinancial Year2012/20131.25Up is Bad CHP21Teenage mothers (delivery episodes aged under 18)AnnualFinancial Year2013/20141.29Up is Bad CHP21Teenage mothers (delivery episodes aged under 18)AnnualFinancial Year2014/20150.72Up is Bad CHP21Teenage mothers (delivery episodes aged under 18)AnnualFinancial Year2015/20160.90Up is Bad CHP21Teenage mothers (delivery episodes aged under 18)AnnualFinancial Year2016/20170.80Up is Bad CHP21Teenage mothers (delivery episodes aged under 18)AnnualFinancial Year2017/20180.90Up is Bad CHP23Hospital admissions due to substance misue (15-24 years), per 100,000 populationAnnualFinancial Year2010/201153.14Up is Bad CHP23Hospital admissions due to substance misue (15-24 years), per 100,000 populationAnnualFinancial Year2011/201261.00Up is Bad CHP23Hospital admissions due to substance misue (15-24 years), per 100,000 populationAnnualFinancial Year2012/201362.86Up is Bad CHP23Hospital admissions due to substance misue (15-24 years), per 100,000 populationAnnualFinancial Year2013/201462.48Up is Bad CHP23Hospital admissions due to substance misue (15-24 years), per 100,000 populationAnnualFinancial Year2014/201570.17Up is Bad CHP23Hospital admissions due to substance misue (15-24 years), per 100,000 populationAnnualFinancial Year2015/201690.07Up is Bad CHP23Hospital admissions due to substance misue (15-24 years), per 100,000 populationAnnualFinancial Year2016/201797.70Up is Bad CHP23Hospital admissions due to substance misue (15-24 years), per 100,000 populationAnnualFinancial Year2017/201885.40Up is Bad CHP25% of mothers who give their babies breast milk in the first 48 hours after delivery (breastfeeding initiation)AnnualFinancial Year2010/201173.66Neutral CHP25% of mothers who give their babies breast milk in the first 48 hours after delivery (breastfeeding initiation)AnnualFinancial Year2011/201273.36Neutral CHP25% of mothers who give their babies breast milk in the first 48 hours after delivery (breastfeeding initiation)AnnualFinancial Year2012/201373.99Neutral CHP25% of mothers who give their babies breast milk in the first 48 hours after delivery (breastfeeding initiation)AnnualFinancial Year2013/201469.00Neutral CHP25% of mothers who give their babies breast milk in the first 48 hours after delivery (breastfeeding initiation)AnnualFinancial Year2014/2015N/ANeutral CHP25% of mothers who give their babies breast milk in the first 48 hours after delivery (breastfeeding initiation)AnnualFinancial Year2016/201777.10Neutral CHP25% of mothers who give their babies breast milk in the first 48 hours after delivery (breastfeeding initiation)AnnualFinancial Year2017/2018NCNeutral CHP27A&E attendances (0-4 years), per 1,000 attendancesAnnualFinancial Year2010/2011390.50Up is Bad CHP27A&E attendances (0-4 years), per 1,000 attendancesAnnualFinancial Year2011/2012414.50Up is Bad CHP27A&E attendances (0-4 years), per 1,000 attendancesAnnualFinancial Year2012/2013447.60Up is Bad CHP27A&E attendances (0-4 years), per 1,000 attendancesAnnualFinancial Year2013/2014416.90Up is Bad CHP27A&E attendances (0-4 years), per 1,000 attendancesAnnualFinancial Year2014/2015398.70Up is Bad CHP27A&E attendances (0-4 years), per 1,000 attendancesAnnualFinancial Year2015/2016421.40Up is Bad CHP27A&E attendances (0-4 years), per 1,000 attendancesAnnualFinancial Year2016/2017455.90Up is Bad CHP27A&E attendances (0-4 years), per 1,000 attendancesAnnualFinancial Year2017/2018465.90Up is Bad CHP27A&E attendances (0-4 years), per 1,000 attendancesAnnualFinancial Year2018/2019465.90Up is Bad CHP29Hospital admissions caused by unintentional and deliberate injuries in young people (aged 15-24 years), per 10,000 populationAnnualFinancial Year2010/2011108.80Up is Bad CHP29Hospital admissions caused by unintentional and deliberate injuries in young people (aged 15-24 years), per 10,000 populationAnnualFinancial Year2011/2012103.30Up is Bad CHP29Hospital admissions caused by unintentional and deliberate injuries in young people (aged 15-24 years), per 10,000 populationAnnualFinancial Year2012/2013107.40Up is Bad CHP29Hospital admissions caused by unintentional and deliberate injuries in young people (aged 15-24 years), per 10,000 populationAnnualFinancial Year2013/2014108.30Up is Bad CHP29Hospital admissions caused by unintentional and deliberate injuries in young people (aged 15-24 years), per 10,000 populationAnnualFinancial Year2014/2015117.10Up is Bad CHP29Hospital admissions caused by unintentional and deliberate injuries in young people (aged 15-24 years), per 10,000 populationAnnualFinancial Year2015/2016133.90Up is Bad CHP29Hospital admissions caused by unintentional and deliberate injuries in young people (aged 15-24 years), per 10,000 populationAnnualFinancial Year2016/2017127.60Up is Bad CHP29Hospital admissions caused by unintentional and deliberate injuries in young people (aged 15-24 years), per 10,000 populationAnnualFinancial Year2017/2018128.40Up is Bad CHP29Hospital admissions caused by unintentional and deliberate injuries in young people (aged 15-24 years), per 10,000 populationAnnualFinancial Year2018/2019120.00Up is Bad CHP30Hospital admissions for asthma (0-18 years), per 100,000 populationAnnualFinancial Year2011/2012118.00Up is Bad CHP30Hospital admissions for asthma (0-18 years), per 100,000 populationAnnualFinancial Year2012/2013159.96Up is Bad CHP30Hospital admissions for asthma (0-18 years), per 100,000 populationAnnualFinancial Year2013/2014146.62Up is Bad CHP30Hospital admissions for asthma (0-18 years), per 100,000 populationAnnualFinancial Year2014/2015124.94Up is Bad CHP30Hospital admissions for asthma (0-18 years), per 100,000 populationAnnualFinancial Year2015/2016101.62Up is Bad CHP30Hospital admissions for asthma (0-18 years), per 100,000 populationAnnualFinancial Year2016/2017139.70Up is Bad CHP30Hospital admissions for asthma (0-18 years), per 100,000 populationAnnualFinancial Year2017/2018150.20Up is Bad CHP31Hospital admissions for mental health conditions (0-17 years), per 100,000 populationAnnualFinancial Year2010/201145.74Up is Bad CHP31Hospital admissions for mental health conditions (0-17 years), per 100,000 populationAnnualFinancial Year2011/201261.20Up is Bad CHP31Hospital admissions for mental health conditions (0-17 years), per 100,000 populationAnnualFinancial Year2012/2013105.36Up is Bad CHP31Hospital admissions for mental health conditions (0-17 years), per 100,000 populationAnnualFinancial Year2013/2014101.84Up is Bad CHP31Hospital admissions for mental health conditions (0-17 years), per 100,000 populationAnnualFinancial Year2014/2015103.76Up is Bad CHP31Hospital admissions for mental health conditions (0-17 years), per 100,000 populationAnnualFinancial Year2015/2016179.80Up is Bad CHP31Hospital admissions for mental health conditions (0-17 years), per 100,000 populationAnnualFinancial Year2016/2017109.00Up is Bad CHP31Hospital admissions for mental health conditions (0-17 years), per 100,000 populationAnnualFinancial Year2017/201895.80Up is Bad CHP32Hospital admissions as a result of self harm (10-24 years), per 100,000 populationAnnualFinancial Year2011/2012338.81Up is Bad CHP32Hospital admissions as a result of self harm (10-24 years), per 100,000 populationAnnualFinancial Year2012/2013429.85Up is Bad CHP32Hospital admissions as a result of self harm (10-24 years), per 100,000 populationAnnualFinancial Year2013/2014401.21Up is Bad CHP32Hospital admissions as a result of self harm (10-24 years), per 100,000 populationAnnualFinancial Year2014/2015552.96Up is Bad CHP32Hospital admissions as a result of self harm (10-24 years), per 100,000 populationAnnualFinancial Year2015/2016675.20Up is Bad CHP32Hospital admissions as a result of self harm (10-24 years), per 100,000 populationAnnualFinancial Year2016/2017633.50Up is Bad CHP32Hospital admissions as a result of self harm (10-24 years), per 100,000 populationAnnualFinancial Year2017/2018539.90Up is Bad CHP32Hospital admissions as a result of self harm (10-24 years), per 100,000 populationAnnualFinancial Year2018/2019189.90Up is Bad CMHD02IAPT Referrals (18+), per 100,000 population - (VoY CCG)QuarterlyFinancial Year2013/2014153.23132.92140.04153.23Up is Good CMHD02IAPT Referrals (18+), per 100,000 population - (VoY CCG)QuarterlyFinancial Year2014/2015307.08158.83153.54248.84307.08Up is Good CMHD02IAPT Referrals (18+), per 100,000 population - (VoY CCG)QuarterlyFinancial Year2015/2016468.52314.67458.03492.99468.52Up is Good CMHD02IAPT Referrals (18+), per 100,000 population - (VoY CCG)QuarterlyFinancial Year2016/2017538.00548.00453.00458.00538.00Up is Good CMHD02IAPT Referrals (18+), per 100,000 population - (VoY CCG)QuarterlyFinancial Year2017/2018454.00373.00372.00418.00454.00Up is Good CMHD02IAPT Referrals (18+), per 100,000 population - (VoY CCG)QuarterlyFinancial Year2018/2019482.00412.00455.00435.00482.00Up is Good CMHD02IAPT Referrals (18+), per 100,000 population - (VoY CCG)QuarterlyFinancial Year2019/2020443.00504.00Up is Good CMHD03% of people who have completed IAPT treatment who achieved reliable improvement" - (VoY CCG)"QuarterlyFinancial Year2013/201455.8859.8457.3255.88Up is Good CMHD03% of people who have completed IAPT treatment who achieved reliable improvement" - (VoY CCG)"QuarterlyFinancial Year2014/201561.4060.9858.0660.9861.40Up is Good CMHD03% of people who have completed IAPT treatment who achieved reliable improvement" - (VoY CCG)"QuarterlyFinancial Year2015/201663.6460.6761.0658.5463.64Up is Good CMHD03% of people who have completed IAPT treatment who achieved reliable improvement" - (VoY CCG)"QuarterlyFinancial Year2016/201767.8053.2059.3062.1067.80Up is Good CMHD03% of people who have completed IAPT treatment who achieved reliable improvement" - (VoY CCG)"QuarterlyFinancial Year2017/201865.1068.2067.6066.1065.10Up is Good CMHD03% of people who have completed IAPT treatment who achieved reliable improvement" - (VoY CCG)"QuarterlyFinancial Year2018/201970.4074.6071.7063.0070.10Up is Good CMHD05People entering IAPT (in month) as % of those estimated to have anxiety/depression (VoY CCG) - (Snapshot)MonthlyFinancial Year2016/20177.5013.208.407.507.50Neutral CMHD05People entering IAPT (in month) as % of those estimated to have anxiety/depression (VoY CCG) - (Snapshot)MonthlyFinancial Year2017/201815.507.708.6011.3011.309.8011.1010.4010.4010.6012.5010.6010.6016.1014.6015.5015.50Neutral CMHD05People entering IAPT (in month) as % of those estimated to have anxiety/depression (VoY CCG) - (Snapshot)MonthlyFinancial Year2018/201914.4014.6011.5014.8014.8015.0015.4013.4013.4015.701.2016.7016.7016.3013.2014.4014.40Neutral CMHD05People entering IAPT (in month) as % of those estimated to have anxiety/depression (VoY CCG) - (Snapshot)MonthlyFinancial Year2019/202013.4018.00Neutral CMHP15ANumber of bed days in secondary mental health care hospitals, per 100,000 population - (VoY CCG)QuarterlyFinancial Year2013/20144786.444976.024975.665069.744786.44Up is Bad CMHP15ANumber of bed days in secondary mental health care hospitals, per 100,000 population - (VoY CCG)QuarterlyFinancial Year2014/20158285.595022.715282.146566.948285.89Up is Bad CMHP15ANumber of bed days in secondary mental health care hospitals, per 100,000 population - (VoY CCG)QuarterlyFinancial Year2015/20164989.346522.505971.825997.174989.34Up is Bad CMHP15ANumber of bed days in secondary mental health care hospitals, per 100,000 population - (VoY CCG)QuarterlyFinancial Year2016/20174252.324413.084285.164324.924252.32Up is Bad CSB14% of total births where low birth weight recorded (under 2500g)QuarterlyFinancial Year2008/20092.18Up is Bad CSB14% of total births where low birth weight recorded (under 2500g)QuarterlyFinancial Year2009/20102.20Up is Bad CSB14% of total births where low birth weight recorded (under 2500g)QuarterlyFinancial Year2010/20112.15Up is Bad CSB14% of total births where low birth weight recorded (under 2500g)QuarterlyFinancial Year2011/20121.60Up is Bad CSB14% of total births where low birth weight recorded (under 2500g)QuarterlyFinancial Year2012/20132.19Up is Bad CSB14% of total births where low birth weight recorded (under 2500g)QuarterlyFinancial Year2013/20142.25Up is Bad CSB14% of total births where low birth weight recorded (under 2500g)QuarterlyFinancial Year2014/20152.992.001.40Up is Bad CSB14% of total births where low birth weight recorded (under 2500g)QuarterlyFinancial Year2015/20161.69Up is Bad CSB14% of total births where low birth weight recorded (under 2500g)QuarterlyFinancial Year2016/20172.60Up is Bad CSB14% of total births where low birth weight recorded (under 2500g)QuarterlyFinancial Year2017/2018NCUp is Bad CSB15Population vaccination coverage - Dtap / IPV / Hib (2 year old)QuarterlyFinancial Year2011/201295.25Up is Good CSB15Population vaccination coverage - Dtap / IPV / Hib (2 year old)QuarterlyFinancial Year2012/201396.25Up is Good CSB15Population vaccination coverage - Dtap / IPV / Hib (2 year old)QuarterlyFinancial Year2013/201495.78Up is Good CSB15Population vaccination coverage - Dtap / IPV / Hib (2 year old)QuarterlyFinancial Year2014/201595.1595.7094.30NC96.30Up is Good CSB15Population vaccination coverage - Dtap / IPV / Hib (2 year old)QuarterlyFinancial Year2015/201696.0095.8093.6094.6095.10Up is Good CSB15Population vaccination coverage - Dtap / IPV / Hib (2 year old)QuarterlyFinancial Year2016/201796.3076.4095.6096.4095.50Up is Good CSB15Population vaccination coverage - Dtap / IPV / Hib (2 year old)QuarterlyFinancial Year2017/201895.60Up is Good CSB16Hospital admissions for dental caries ages 1-4 years (‘children presenting at York ED with dental issues’ until 2016)QuarterlyFinancial Year2014/201552.0018.0020.0010.004.00Up is Bad CSB16Hospital admissions for dental caries ages 1-4 years (‘children presenting at York ED with dental issues’ until 2016)QuarterlyFinancial Year2015/201622.006.007.008.001.00Up is Bad CSB16Hospital admissions for dental caries ages 1-4 years (‘children presenting at York ED with dental issues’ until 2016)QuarterlyFinancial Year2017/201843.0011.006.008.0018.00Up is Bad CSB16Hospital admissions for dental caries ages 1-4 years (‘children presenting at York ED with dental issues’ until 2016)QuarterlyFinancial Year2018/2019NCUp is Bad CSB16Hospital admissions for dental caries ages 1-4 years (‘children presenting at York ED with dental issues’ until 2016)QuarterlyFinancial Year2019/2020NAUp is Bad CSB16aHospital admissions for dental caries (0-4 years), per 100,000 populationAnnualFinancial Year2014/2015368.70Up is Bad CSB16aHospital admissions for dental caries (0-4 years), per 100,000 populationAnnualFinancial Year2015/2016342.90Up is Bad CSB16aHospital admissions for dental caries (0-4 years), per 100,000 populationAnnualFinancial Year2016/2017353.55Up is Bad CSB16bHospital admissions for dental caries (0-5 years), per 100,000 populationAnnualFinancial Year2017/2018474.10Up is Bad CSB17Number of mothers recorded by Midwifery Services in regard to alcohol or substance misuse (by Estimated Delivery Date)QuarterlyFinancial Year2014/201526.003.007.009.007.00Up is Bad CSB17Number of mothers recorded by Midwifery Services in regard to alcohol or substance misuse (by Estimated Delivery Date)QuarterlyFinancial Year2015/201633.007.0014.008.004.00Up is Bad CSB17Number of mothers recorded by Midwifery Services in regard to alcohol or substance misuse (by Estimated Delivery Date)QuarterlyFinancial Year2016/201713.00Up is Bad CSB17Number of mothers recorded by Midwifery Services in regard to alcohol or substance misuse (by Estimated Delivery Date)QuarterlyFinancial Year2017/2018NC2.00Up is Bad CSB17Number of mothers recorded by Midwifery Services in regard to alcohol or substance misuse (by Estimated Delivery Date)QuarterlyFinancial Year2018/2019NCUp is Bad CSB17Number of mothers recorded by Midwifery Services in regard to alcohol or substance misuse (by Estimated Delivery Date)QuarterlyFinancial Year2019/2020NAUp is Bad CSB38Number of children provided with one-to-one support by IDASQuarterlyFinancial Year2014/2015389.00130.00107.0069.0083.00Neutral CSB38Number of children provided with one-to-one support by IDASQuarterlyFinancial Year2015/2016255.0078.0054.0073.0050.00Neutral CSB38Number of children provided with one-to-one support by IDASQuarterlyFinancial Year2016/2017130.0025.0041.0020.0044.00Neutral CSB38Number of children provided with one-to-one support by IDASQuarterlyFinancial Year2017/2018192.0046.0066.0040.0040.00Neutral CSB38Number of children provided with one-to-one support by IDASQuarterlyFinancial Year2018/2019229.0046.0063.0045.0075.00Neutral CSB38Number of children provided with one-to-one support by IDASQuarterlyFinancial Year2019/2020126.0098.00Neutral CSP29aNumber of Incidents of ASB within the CIZMonthlyFinancial Year2009/20101632.00Up is Bad CSP29aNumber of Incidents of ASB within the CIZMonthlyFinancial Year2010/20111726.00Up is Bad CSP29aNumber of Incidents of ASB within the CIZMonthlyFinancial Year2011/20121953.00Up is Bad CSP29aNumber of Incidents of ASB within the CIZMonthlyFinancial Year2012/20131593.00149.00130.00122.00401.00122.00112.00132.00366.00151.00140.00143.00434.00117.00135.00140.00392.00Up is Bad CSP29aNumber of Incidents of ASB within the CIZMonthlyFinancial Year2013/20141530.00121.00114.00119.00354.00125.00168.00132.00425.00161.00123.00133.00417.00107.00114.00113.00334.00Up is Bad CSP29aNumber of Incidents of ASB within the CIZMonthlyFinancial Year2014/20151808.00113.00133.00158.00404.00177.00216.00135.00528.00158.00155.00197.00510.00128.00113.00125.00366.00Up is Bad CSP29aNumber of Incidents of ASB within the CIZMonthlyFinancial Year2015/20161518.00128.00118.00133.00379.00163.00153.00135.00451.00138.00107.00127.00372.0085.0091.00140.00316.00Up is Bad CSP29aNumber of Incidents of ASB within the CIZMonthlyFinancial Year2016/20171399.0099.00137.00148.00384.00154.00124.00108.00386.00122.0098.00131.00351.0090.0075.00113.00278.00Up is Bad CSP29aNumber of Incidents of ASB within the CIZMonthlyFinancial Year2017/20181115.00107.0080.0089.00276.00100.00127.00129.00356.00100.0086.0076.00262.0073.0064.0084.00221.00Up is Bad CSP29aNumber of Incidents of ASB within the CIZMonthlyFinancial Year2018/2019999.0081.0076.0084.00241.0076.00105.0093.00274.0090.0075.0092.00257.0077.0076.0074.00227.00Up is Bad CSP29aNumber of Incidents of ASB within the CIZMonthlyFinancial Year2019/2020903.0078.0089.0071.00238.0068.0093.0067.00228.0091.0087.00100.00278.0047.0055.0057.00159.00Up is Bad CSP29bNumber of Incidents of Alcohol Related ASB within the CIZMonthlyFinancial Year2016/2017594.0033.0066.0048.00147.0069.0053.0052.00174.0049.0036.0063.00148.0042.0034.0049.00125.00Up is Bad CSP29bNumber of Incidents of Alcohol Related ASB within the CIZMonthlyFinancial Year2017/201854.0035.0042.00131.0037.0050.0043.00130.0036.0033.00Up is Bad CSP29bNumber of Incidents of Alcohol Related ASB within the CIZMonthlyFinancial Year2018/2019NANANANANANANANANANANANANANANANANAUp is Bad CSP29bNumber of Incidents of Alcohol Related ASB within the CIZMonthlyFinancial Year2019/2020NANANANANANANANAUp is Bad EH1Chlamydia diagnoses (15-24 year olds), per 100,000 populationAnnualFinancial Year2012/20131067.30Up is Good EH1Chlamydia diagnoses (15-24 year olds), per 100,000 populationAnnualFinancial Year2013/20141728.26Up is Good EH1Chlamydia diagnoses (15-24 year olds), per 100,000 populationAnnualFinancial Year2014/20151682.50Up is Good EH1Chlamydia diagnoses (15-24 year olds), per 100,000 populationAnnualFinancial Year2015/20161456.81Up is Good EH1Chlamydia diagnoses (15-24 year olds), per 100,000 populationAnnualFinancial Year2016/20171864.30Up is Good EH1Chlamydia diagnoses (15-24 year olds), per 100,000 populationAnnualFinancial Year2017/20181985.30Up is Good EH1Chlamydia diagnoses (15-24 year olds), per 100,000 populationAnnualFinancial Year2018/20191712.00Up is Good EH1AChlamydia diagnoses (15-19 year olds), per 100,000 populationQuarterlyFinancial Year2013/20141922.001344.001532.001814.001922.00Up is Good EH1AChlamydia diagnoses (15-19 year olds), per 100,000 populationQuarterlyFinancial Year2014/20151416.001756.001640.001532.001416.00Up is Good EH1AChlamydia diagnoses (15-19 year olds), per 100,000 populationQuarterlyFinancial Year2015/20161366.001438.00Up is Good EH1BChlamydia diagnoses (20-24 year olds), per 100,000 populationQuarterlyFinancial Year2013/20141734.001200.001508.001674.001734.00Up is Good EH1BChlamydia diagnoses (20-24 year olds), per 100,000 populationQuarterlyFinancial Year2014/20151495.001793.001623.001504.001495.00Up is Good EH1BChlamydia diagnoses (20-24 year olds), per 100,000 populationQuarterlyFinancial Year2015/20161453.001518.00Up is Good EH1BChlamydia diagnoses (20-24 year olds), per 100,000 populationQuarterlyFinancial Year2017/2018457.00Up is Good EH2Proportion of population aged 15 to 24 screened for chlamydiaAnnualFinancial Year2013/201419.60Up is Good EH2Proportion of population aged 15 to 24 screened for chlamydiaAnnualFinancial Year2014/201523.60Up is Good EH2Proportion of population aged 15 to 24 screened for chlamydiaAnnualFinancial Year2015/201622.30Up is Good EH2Proportion of population aged 15 to 24 screened for chlamydiaAnnualFinancial Year2016/201722.50Up is Good EH2Proportion of population aged 15 to 24 screened for chlamydiaAnnualFinancial Year2017/201826.40Up is Good EH2Proportion of population aged 15 to 24 screened for chlamydiaAnnualFinancial Year2018/201923.90Up is Good HLTH01aPupils achieving a Good Level of Development at age 5 (%)AnnualFinancial Year2013/201464.80Up is Good HLTH01aPupils achieving a Good Level of Development at age 5 (%)AnnualFinancial Year2016/201774.30Up is Good HLTH02aLimiting long term illness or disability (%)AnnualFinancial Year2014/201515.30Up is Bad HLTH03aProvision of 1 hour or more unpaid care per week (%)AnnualFinancial Year2014/20159.20Up is Bad HLTH04aPensioners living alone (%)AnnualFinancial Year2014/201532.30Up is Bad HLTH05aObese adults (%)AnnualFinancial Year2014/201523.00Up is Bad HLTH06aBinge drinking adults (%)AnnualFinancial Year2014/201529.70Up is Bad HLTH07aHealthy eating adults (%)AnnualFinancial Year2014/201528.30Up is Good HV01% of births that receive a face to face New Birth Visit (NBV) by a Health Visitor within 14 daysQuarterlyFinancial Year2015/201674.4023.3562.6459.0074.40Up is Good HV01% of births that receive a face to face New Birth Visit (NBV) by a Health Visitor within 14 daysQuarterlyFinancial Year2016/201778.3074.3270.1473.7078.30Up is Good HV01% of births that receive a face to face New Birth Visit (NBV) by a Health Visitor within 14 daysQuarterlyFinancial Year2017/201885.6184.2085.4084.7085.61Up is Good HV01% of births that receive a face to face New Birth Visit (NBV) by a Health Visitor within 14 daysQuarterlyFinancial Year2018/201985.9087.0088.2088.7085.90Up is Good HV01% of births that receive a face to face New Birth Visit (NBV) by a Health Visitor within 14 daysQuarterlyFinancial Year2019/202086.3387.3986.62Up is Good HV02% of face-to-face NBVs undertaken by a health visitor after 14 daysQuarterlyFinancial Year2015/201621.7067.9830.5735.0021.70Up is Bad HV02% of face-to-face NBVs undertaken by a health visitor after 14 daysQuarterlyFinancial Year2016/201712.7721.2119.6417.7012.77Up is Bad HV02% of face-to-face NBVs undertaken by a health visitor after 14 daysQuarterlyFinancial Year2017/20189.9112.3010.1011.909.91Up is Bad HV02% of face-to-face NBVs undertaken by a health visitor after 14 daysQuarterlyFinancial Year2018/201911.7011.7010.509.6011.70Up is Bad HV02% of face-to-face NBVs undertaken by a health visitor after 14 daysQuarterlyFinancial Year2019/202012.2311.0411.74Up is Bad HV03% of infants who received a 6-8 week review by the time they were 8 weeksQuarterlyFinancial Year2015/201670.8061.5463.1665.0070.80Up is Good HV03% of infants who received a 6-8 week review by the time they were 8 weeksQuarterlyFinancial Year2016/201777.0975.2278.9677.8077.09Up is Good HV03% of infants who received a 6-8 week review by the time they were 8 weeksQuarterlyFinancial Year2017/201882.4682.7083.1083.2082.46Up is Good HV03% of infants who received a 6-8 week review by the time they were 8 weeksQuarterlyFinancial Year2018/201989.2085.3086.4088.4089.20Up is Good HV03% of infants who received a 6-8 week review by the time they were 8 weeksQuarterlyFinancial Year2019/202088.5588.8988.56Up is Good HV04% of infants being breastfed at 6-8wksQuarterlyFinancial Year2015/201630.1030.5925.8221.0030.10Up is Good HV04% of infants being breastfed at 6-8wksQuarterlyFinancial Year2016/201744.2334.0336.8735.7044.23Up is Good HV04% of infants being breastfed at 6-8wksQuarterlyFinancial Year2017/201843.1544.5044.3042.3043.15Up is Good HV04% of infants being breastfed at 6-8wksQuarterlyFinancial Year2018/201949.3844.6045.7048.6749.38Up is Good HV04% of infants being breastfed at 6-8wksQuarterlyFinancial Year2019/202046.9245.6350.89Up is Good HV05% of children who received a 12 month review by the time they turned 12 monthsQuarterlyFinancial Year2015/201616.7718.1620.8118.0020.40Up is Good HV05% of children who received a 12 month review by the time they turned 12 monthsQuarterlyFinancial Year2016/201741.6523.9821.6625.0041.65Up is Good HV05% of children who received a 12 month review by the time they turned 12 monthsQuarterlyFinancial Year2017/201872.2165.7073.0069.0072.21Up is Good HV05% of children who received a 12 month review by the time they turned 12 monthsQuarterlyFinancial Year2018/201981.8078.4079.8083.8081.80Up is Good HV05% of children who received a 12 month review by the time they turned 12 monthsQuarterlyFinancial Year2019/202083.1583.8686.29Up is Good HV06% of children who received a 12 month review by the time they turned 15 monthsQuarterlyFinancial Year2015/201670.0022.2232.2347.0070.00Up is Good HV06% of children who received a 12 month review by the time they turned 15 monthsQuarterlyFinancial Year2016/201776.9268.9474.8174.5076.92Up is Good HV06% of children who received a 12 month review by the time they turned 15 monthsQuarterlyFinancial Year2017/201881.5279.4080.2081.9081.52Up is Good HV06% of children who received a 12 month review by the time they turned 15 monthsQuarterlyFinancial Year2018/201984.7078.5080.5082.4084.70Up is Good HV06% of children who received a 12 month review by the time they turned 15 monthsQuarterlyFinancial Year2019/202086.4984.6083.48Up is Good HV07% of children who received a 2-2½ year reviewQuarterlyFinancial Year2015/201611.607.4510.8215.0011.60Up is Good HV07% of children who received a 2-2½ year reviewQuarterlyFinancial Year2016/201718.5522.3923.0816.1018.55Up is Good HV07% of children who received a 2-2½ year reviewQuarterlyFinancial Year2017/201862.6446.0046.3062.1062.64Up is Good HV07% of children who received a 2-2½ year reviewQuarterlyFinancial Year2018/201971.2060.8070.6069.8071.20Up is Good HV07% of children who received a 2-2½ year reviewQuarterlyFinancial Year2019/202072.6171.3776.28Up is Good HV10% of infants totally or partially breastfed at 6-8 weeks (of those with a known feeding status)QuarterlyFinancial Year2015/201652.2057.9053.8050.5052.20Up is Good HV10% of infants totally or partially breastfed at 6-8 weeks (of those with a known feeding status)QuarterlyFinancial Year2016/201759.4055.2056.7054.0059.40Up is Good HV10% of infants totally or partially breastfed at 6-8 weeks (of those with a known feeding status)QuarterlyFinancial Year2017/201854.7356.8056.0053.8054.73Up is Good HV10% of infants totally or partially breastfed at 6-8 weeks (of those with a known feeding status)QuarterlyFinancial Year2018/201959.4056.6057.0058.7059.40Up is Good HV10% of infants totally or partially breastfed at 6-8 weeks (of those with a known feeding status)QuarterlyFinancial Year2019/202058.0456.6560.14Up is Good HV12% of children who were at or above the expected level of development at the 2-2½ year reviewQuarterlyFinancial Year2018/201990.5589.0588.3390.1190.55Up is Good HV12% of children who were at or above the expected level of development at the 2-2½ year reviewQuarterlyFinancial Year2019/202086.9089.3488.24Up is Good LAPE01Months of life lost due to alcohol: Males aged less than 75 yearsAnnualFinancial Year2009/20109.63Up is Bad LAPE01Months of life lost due to alcohol: Males aged less than 75 yearsAnnualFinancial Year2010/201110.16Up is Bad LAPE01Months of life lost due to alcohol: Males aged less than 75 yearsAnnualFinancial Year2011/201211.52Up is Bad LAPE01Months of life lost due to alcohol: Males aged less than 75 yearsAnnualFinancial Year2012/201311.91Up is Bad LAPE01Months of life lost due to alcohol: Males aged less than 75 yearsAnnualFinancial Year2013/201411.69Up is Bad LAPE01Months of life lost due to alcohol: Males aged less than 75 yearsAnnualFinancial Year2014/201510.30Up is Bad LAPE02Months of life lost due to alcohol: Females aged less than 75 yearsAnnualFinancial Year2009/20104.00Up is Bad LAPE02Months of life lost due to alcohol: Females aged less than 75 yearsAnnualFinancial Year2010/20114.55Up is Bad LAPE02Months of life lost due to alcohol: Females aged less than 75 yearsAnnualFinancial Year2011/20124.97Up is Bad LAPE02Months of life lost due to alcohol: Females aged less than 75 yearsAnnualFinancial Year2012/20135.54Up is Bad LAPE02Months of life lost due to alcohol: Females aged less than 75 yearsAnnualFinancial Year2013/20145.65Up is Bad LAPE02Months of life lost due to alcohol: Females aged less than 75 yearsAnnualFinancial Year2014/20155.40Up is Bad LAPE03Alcohol-specific mortality: Males, all ages (per 100,000 population)AnnualFinancial Year2009/201013.08Up is Bad LAPE03Alcohol-specific mortality: Males, all ages (per 100,000 population)AnnualFinancial Year2010/201112.79Up is Bad LAPE03Alcohol-specific mortality: Males, all ages (per 100,000 population)AnnualFinancial Year2011/201212.88Up is Bad LAPE03Alcohol-specific mortality: Males, all ages (per 100,000 population)AnnualFinancial Year2012/201313.28Up is Bad LAPE03Alcohol-specific mortality: Males, all ages (per 100,000 population)AnnualFinancial Year2013/201412.79Up is Bad LAPE03Alcohol-specific mortality: Males, all ages (per 100,000 population)AnnualFinancial Year2014/201512.88Up is Bad LAPE03Alcohol-specific mortality: Males, all ages (per 100,000 population)AnnualFinancial Year2015/201613.28Up is Bad LAPE03Alcohol-specific mortality: Males, all ages (per 100,000 population)AnnualFinancial Year2016/201711.59Up is Bad LAPE03Alcohol-specific mortality: Males, all ages (per 100,000 population)AnnualFinancial Year2017/201816.10Up is Bad LAPE03Alcohol-specific mortality: Males, all ages (per 100,000 population)AnnualFinancial Year2018/201914.30Up is Bad LAPE04Alcohol-specific mortality: Females, all ages (per 100,000 population)AnnualFinancial Year2009/20104.80Up is Bad LAPE04Alcohol-specific mortality: Females, all ages (per 100,000 population)AnnualFinancial Year2010/20115.52Up is Bad LAPE04Alcohol-specific mortality: Females, all ages (per 100,000 population)AnnualFinancial Year2011/20125.76Up is Bad LAPE04Alcohol-specific mortality: Females, all ages (per 100,000 population)AnnualFinancial Year2012/20136.83Up is Bad LAPE04Alcohol-specific mortality: Females, all ages (per 100,000 population)AnnualFinancial Year2013/20146.44Up is Bad LAPE04Alcohol-specific mortality: Females, all ages (per 100,000 population)AnnualFinancial Year2014/20156.11Up is Bad LAPE04Alcohol-specific mortality: Females, all ages (per 100,000 population)AnnualFinancial Year2015/20166.41Up is Bad LAPE04Alcohol-specific mortality: Females, all ages (per 100,000 population)AnnualFinancial Year2016/20175.62Up is Bad LAPE04Alcohol-specific mortality: Females, all ages (per 100,000 population)AnnualFinancial Year2017/20184.20Up is Bad LAPE07Alcohol-related mortality: Males, all ages (per 100,000 population)AnnualFinancial Year2008/200962.80Up is Bad LAPE07Alcohol-related mortality: Males, all ages (per 100,000 population)AnnualFinancial Year2009/201054.00Up is Bad LAPE07Alcohol-related mortality: Males, all ages (per 100,000 population)AnnualFinancial Year2010/201164.50Up is Bad LAPE07Alcohol-related mortality: Males, all ages (per 100,000 population)AnnualFinancial Year2011/201269.70Up is Bad LAPE07Alcohol-related mortality: Males, all ages (per 100,000 population)AnnualFinancial Year2012/201360.60Up is Bad LAPE07Alcohol-related mortality: Males, all ages (per 100,000 population)AnnualFinancial Year2013/201461.00Up is Bad LAPE07Alcohol-related mortality: Males, all ages (per 100,000 population)AnnualFinancial Year2014/201554.80Up is Bad LAPE07Alcohol-related mortality: Males, all ages (per 100,000 population)AnnualFinancial Year2015/201672.20Up is Bad LAPE07Alcohol-related mortality: Males, all ages (per 100,000 population)AnnualFinancial Year2016/201764.30Up is Bad LAPE07Alcohol-related mortality: Males, all ages (per 100,000 population)AnnualFinancial Year2017/201870.50Up is Bad LAPE07Alcohol-related mortality: Males, all ages (per 100,000 population)AnnualFinancial Year2018/201964.00Up is Bad LAPE08Alcohol-related mortality: Females, all ages (per 100,000 population)AnnualFinancial Year2008/200926.80Up is Bad LAPE08Alcohol-related mortality: Females, all ages (per 100,000 population)AnnualFinancial Year2009/201021.50Up is Bad LAPE08Alcohol-related mortality: Females, all ages (per 100,000 population)AnnualFinancial Year2010/201130.30Up is Bad LAPE08Alcohol-related mortality: Females, all ages (per 100,000 population)AnnualFinancial Year2011/201229.40Up is Bad LAPE08Alcohol-related mortality: Females, all ages (per 100,000 population)AnnualFinancial Year2012/201328.50Up is Bad LAPE08Alcohol-related mortality: Females, all ages (per 100,000 population)AnnualFinancial Year2013/201426.50Up is Bad LAPE08Alcohol-related mortality: Females, all ages (per 100,000 population)AnnualFinancial Year2014/201529.50Up is Bad LAPE08Alcohol-related mortality: Females, all ages (per 100,000 population)AnnualFinancial Year2015/201627.60Up is Bad LAPE08Alcohol-related mortality: Females, all ages (per 100,000 population)AnnualFinancial Year2016/201731.50Up is Bad LAPE08Alcohol-related mortality: Females, all ages (per 100,000 population)AnnualFinancial Year2017/201824.30Up is Bad LAPE08Alcohol-related mortality: Females, all ages (per 100,000 population)AnnualFinancial Year2018/201924.50Up is Bad LAPE09Under 18s admitted to hospital with alcohol-specific conditions (per 100,000 population)AnnualFinancial Year2009/201069.82Up is Bad LAPE09Under 18s admitted to hospital with alcohol-specific conditions (per 100,000 population)AnnualFinancial Year2010/201157.02Up is Bad LAPE09Under 18s admitted to hospital with alcohol-specific conditions (per 100,000 population)AnnualFinancial Year2011/201233.84Up is Bad LAPE09Under 18s admitted to hospital with alcohol-specific conditions (per 100,000 population)AnnualFinancial Year2012/201328.87Up is Bad LAPE09Under 18s admitted to hospital with alcohol-specific conditions (per 100,000 population)AnnualFinancial Year2013/201432.31Up is Bad LAPE09Under 18s admitted to hospital with alcohol-specific conditions (per 100,000 population)AnnualFinancial Year2014/201534.86Up is Bad LAPE09Under 18s admitted to hospital with alcohol-specific conditions (per 100,000 population)AnnualFinancial Year2015/201642.86Up is Bad LAPE09Under 18s admitted to hospital with alcohol-specific conditions (per 100,000 population)AnnualFinancial Year2016/201744.54Up is Bad LAPE10Admitted to hospital with alcohol-specific conditions: Males, all ages (per 100,000 population)AnnualFinancial Year2009/2010649.22Up is Bad LAPE10Admitted to hospital with alcohol-specific conditions: Males, all ages (per 100,000 population)AnnualFinancial Year2010/2011640.43Up is Bad LAPE10Admitted to hospital with alcohol-specific conditions: Males, all ages (per 100,000 population)AnnualFinancial Year2011/2012558.80Up is Bad LAPE10Admitted to hospital with alcohol-specific conditions: Males, all ages (per 100,000 population)AnnualFinancial Year2012/2013604.72Up is Bad LAPE10Admitted to hospital with alcohol-specific conditions: Males, all ages (per 100,000 population)AnnualFinancial Year2013/2014806.71Up is Bad LAPE10Admitted to hospital with alcohol-specific conditions: Males, all ages (per 100,000 population)AnnualFinancial Year2014/2015824.09Up is Bad LAPE10Admitted to hospital with alcohol-specific conditions: Males, all ages (per 100,000 population)AnnualFinancial Year2015/2016834.71Up is Bad LAPE10Admitted to hospital with alcohol-specific conditions: Males, all ages (per 100,000 population)AnnualFinancial Year2016/2017875.56Up is Bad LAPE10Admitted to hospital with alcohol-specific conditions: Males, all ages (per 100,000 population)AnnualFinancial Year2017/2018915.00Up is Bad LAPE10Admitted to hospital with alcohol-specific conditions: Males, all ages (per 100,000 population)AnnualFinancial Year2018/20191170.00Up is Bad LAPE11Admitted to hospital with alcohol-specific conditions: Females, all ages (per 100,000 population)AnnualFinancial Year2009/2010300.41Up is Bad LAPE11Admitted to hospital with alcohol-specific conditions: Females, all ages (per 100,000 population)AnnualFinancial Year2010/2011264.25Up is Bad LAPE11Admitted to hospital with alcohol-specific conditions: Females, all ages (per 100,000 population)AnnualFinancial Year2011/2012283.52Up is Bad LAPE11Admitted to hospital with alcohol-specific conditions: Females, all ages (per 100,000 population)AnnualFinancial Year2012/2013335.07Up is Bad LAPE11Admitted to hospital with alcohol-specific conditions: Females, all ages (per 100,000 population)AnnualFinancial Year2013/2014373.61Up is Bad LAPE11Admitted to hospital with alcohol-specific conditions: Females, all ages (per 100,000 population)AnnualFinancial Year2014/2015364.29Up is Bad LAPE11Admitted to hospital with alcohol-specific conditions: Females, all ages (per 100,000 population)AnnualFinancial Year2015/2016481.79Up is Bad LAPE11Admitted to hospital with alcohol-specific conditions: Females, all ages (per 100,000 population)AnnualFinancial Year2016/2017447.52Up is Bad LAPE11Admitted to hospital with alcohol-specific conditions: Females, all ages (per 100,000 population)AnnualFinancial Year2017/2018401.00Up is Bad LAPE11Admitted to hospital with alcohol-specific conditions: Females, all ages (per 100,000 population)AnnualFinancial Year2018/2019513.00Up is Bad LAPE12Admitted to hospital with alcohol-related conditions (Broad): Males, all ages (per 100,000 population)AnnualFinancial Year2009/20102034.13Up is Bad LAPE12Admitted to hospital with alcohol-related conditions (Broad): Males, all ages (per 100,000 population)AnnualFinancial Year2010/20112105.71Up is Bad LAPE12Admitted to hospital with alcohol-related conditions (Broad): Males, all ages (per 100,000 population)AnnualFinancial Year2011/20122012.59Up is Bad LAPE12Admitted to hospital with alcohol-related conditions (Broad): Males, all ages (per 100,000 population)AnnualFinancial Year2012/20132236.71Up is Bad LAPE12Admitted to hospital with alcohol-related conditions (Broad): Males, all ages (per 100,000 population)AnnualFinancial Year2013/20142811.84Up is Bad LAPE12Admitted to hospital with alcohol-related conditions (Broad): Males, all ages (per 100,000 population)AnnualFinancial Year2014/20152842.99Up is Bad LAPE12Admitted to hospital with alcohol-related conditions (Broad): Males, all ages (per 100,000 population)AnnualFinancial Year2015/20162894.76Up is Bad LAPE12Admitted to hospital with alcohol-related conditions (Broad): Males, all ages (per 100,000 population)AnnualFinancial Year2016/20173118.08Up is Bad LAPE12Admitted to hospital with alcohol-related conditions (Broad): Males, all ages (per 100,000 population)AnnualFinancial Year2017/20183322.00Up is Bad LAPE12Admitted to hospital with alcohol-related conditions (Broad): Males, all ages (per 100,000 population)AnnualFinancial Year2018/20193550.00Up is Bad LAPE13Admitted to hospital with alcohol-related conditions (Broad): Females, all ages (per 100,000 population)AnnualFinancial Year2009/2010907.43Up is Bad LAPE13Admitted to hospital with alcohol-related conditions (Broad): Females, all ages (per 100,000 population)AnnualFinancial Year2010/2011945.82Up is Bad LAPE13Admitted to hospital with alcohol-related conditions (Broad): Females, all ages (per 100,000 population)AnnualFinancial Year2011/2012947.39Up is Bad LAPE13Admitted to hospital with alcohol-related conditions (Broad): Females, all ages (per 100,000 population)AnnualFinancial Year2012/20131112.95Up is Bad LAPE13Admitted to hospital with alcohol-related conditions (Broad): Females, all ages (per 100,000 population)AnnualFinancial Year2013/20141332.31Up is Bad LAPE13Admitted to hospital with alcohol-related conditions (Broad): Females, all ages (per 100,000 population)AnnualFinancial Year2014/20151342.36Up is Bad LAPE13Admitted to hospital with alcohol-related conditions (Broad): Females, all ages (per 100,000 population)AnnualFinancial Year2015/20161573.45Up is Bad LAPE13Admitted to hospital with alcohol-related conditions (Broad): Females, all ages (per 100,000 population)AnnualFinancial Year2016/20171358.47Up is Bad LAPE13Admitted to hospital with alcohol-related conditions (Broad): Females, all ages (per 100,000 population)AnnualFinancial Year2017/20181585.00Up is Bad LAPE13Admitted to hospital with alcohol-related conditions (Broad): Females, all ages (per 100,000 population)AnnualFinancial Year2018/20191697.00Up is Bad LAPE14Admitted to hospital with alcohol-related conditions (Narrow): Males, all ages (per 100,000 population)AnnualFinancial Year2009/2010620.64Up is Bad LAPE14Admitted to hospital with alcohol-related conditions (Narrow): Males, all ages (per 100,000 population)AnnualFinancial Year2010/2011604.48Up is Bad LAPE14Admitted to hospital with alcohol-related conditions (Narrow): Males, all ages (per 100,000 population)AnnualFinancial Year2011/2012627.91Up is Bad LAPE14Admitted to hospital with alcohol-related conditions (Narrow): Males, all ages (per 100,000 population)AnnualFinancial Year2012/2013769.22Up is Bad LAPE14Admitted to hospital with alcohol-related conditions (Narrow): Males, all ages (per 100,000 population)AnnualFinancial Year2013/2014853.09Up is Bad LAPE14Admitted to hospital with alcohol-related conditions (Narrow): Males, all ages (per 100,000 population)AnnualFinancial Year2014/2015800.09Up is Bad LAPE14Admitted to hospital with alcohol-related conditions (Narrow): Males, all ages (per 100,000 population)AnnualFinancial Year2015/2016750.98Up is Bad LAPE14Admitted to hospital with alcohol-related conditions (Narrow): Males, all ages (per 100,000 population)AnnualFinancial Year2016/2017868.24Up is Bad LAPE14Admitted to hospital with alcohol-related conditions (Narrow): Males, all ages (per 100,000 population)AnnualFinancial Year2017/2018928.00Up is Bad LAPE14Admitted to hospital with alcohol-related conditions (Narrow): Males, all ages (per 100,000 population)AnnualFinancial Year2018/2019845.00Up is Bad LAPE15Admitted to hospital with alcohol-related conditions (Narrow): Females, all ages (per 100,000 population)AnnualFinancial Year2009/2010327.04Up is Bad LAPE15Admitted to hospital with alcohol-related conditions (Narrow): Females, all ages (per 100,000 population)AnnualFinancial Year2010/2011306.52Up is Bad LAPE15Admitted to hospital with alcohol-related conditions (Narrow): Females, all ages (per 100,000 population)AnnualFinancial Year2011/2012320.09Up is Bad LAPE15Admitted to hospital with alcohol-related conditions (Narrow): Females, all ages (per 100,000 population)AnnualFinancial Year2012/2013444.32Up is Bad LAPE15Admitted to hospital with alcohol-related conditions (Narrow): Females, all ages (per 100,000 population)AnnualFinancial Year2013/2014488.60Up is Bad LAPE15Admitted to hospital with alcohol-related conditions (Narrow): Females, all ages (per 100,000 population)AnnualFinancial Year2014/2015492.39Up is Bad LAPE15Admitted to hospital with alcohol-related conditions (Narrow): Females, all ages (per 100,000 population)AnnualFinancial Year2015/2016586.02Up is Bad LAPE15Admitted to hospital with alcohol-related conditions (Narrow): Females, all ages (per 100,000 population)AnnualFinancial Year2016/2017526.99Up is Bad LAPE15Admitted to hospital with alcohol-related conditions (Narrow): Females, all ages (per 100,000 population)AnnualFinancial Year2017/2018545.00Up is Bad LAPE15Admitted to hospital with alcohol-related conditions (Narrow): Females, all ages (per 100,000 population)AnnualFinancial Year2018/2019598.00Up is Bad LAPE16Admitted to hospital episodes with alcohol-related conditions (Broad): Persons, all ages (per 100,000 population)AnnualFinancial Year2008/20091412.00Up is Bad LAPE16Admitted to hospital episodes with alcohol-related conditions (Broad): Persons, all ages (per 100,000 population)AnnualFinancial Year2009/20101415.00Up is Bad LAPE16Admitted to hospital episodes with alcohol-related conditions (Broad): Persons, all ages (per 100,000 population)AnnualFinancial Year2010/20111464.00Up is Bad LAPE16Admitted to hospital episodes with alcohol-related conditions (Broad): Persons, all ages (per 100,000 population)AnnualFinancial Year2011/20121425.00Up is Bad LAPE16Admitted to hospital episodes with alcohol-related conditions (Broad): Persons, all ages (per 100,000 population)AnnualFinancial Year2012/20131619.00Up is Bad LAPE16Admitted to hospital episodes with alcohol-related conditions (Broad): Persons, all ages (per 100,000 population)AnnualFinancial Year2013/20141998.00Up is Bad LAPE16Admitted to hospital episodes with alcohol-related conditions (Broad): Persons, all ages (per 100,000 population)AnnualFinancial Year2014/20152020.00Up is Bad LAPE16Admitted to hospital episodes with alcohol-related conditions (Broad): Persons, all ages (per 100,000 population)AnnualFinancial Year2015/20162171.00Up is Bad LAPE16Admitted to hospital episodes with alcohol-related conditions (Broad): Persons, all ages (per 100,000 population)AnnualFinancial Year2016/20172263.00Up is Bad LAPE16Admitted to hospital episodes with alcohol-related conditions (Broad): Persons, all ages (per 100,000 population)AnnualFinancial Year2017/20182372.00Up is Bad LAPE16Admitted to hospital episodes with alcohol-related conditions (Broad): Persons, all ages (per 100,000 population)AnnualFinancial Year2018/20192536.00Up is Bad LAPE17Admitted to hospital episodes with alcohol-related conditions (Narrow): Persons, all ages (per 100,000 population)AnnualFinancial Year2008/2009447.00Up is Bad LAPE17Admitted to hospital episodes with alcohol-related conditions (Narrow): Persons, all ages (per 100,000 population)AnnualFinancial Year2009/2010462.00Up is Bad LAPE17Admitted to hospital episodes with alcohol-related conditions (Narrow): Persons, all ages (per 100,000 population)AnnualFinancial Year2010/2011444.00Up is Bad LAPE17Admitted to hospital episodes with alcohol-related conditions (Narrow): Persons, all ages (per 100,000 population)AnnualFinancial Year2011/2012462.00Up is Bad LAPE17Admitted to hospital episodes with alcohol-related conditions (Narrow): Persons, all ages (per 100,000 population)AnnualFinancial Year2012/2013595.00Up is Bad LAPE17Admitted to hospital episodes with alcohol-related conditions (Narrow): Persons, all ages (per 100,000 population)AnnualFinancial Year2013/2014659.00Up is Bad LAPE17Admitted to hospital episodes with alcohol-related conditions (Narrow): Persons, all ages (per 100,000 population)AnnualFinancial Year2014/2015636.00Up is Bad LAPE17Admitted to hospital episodes with alcohol-related conditions (Narrow): Persons, all ages (per 100,000 population)AnnualFinancial Year2015/2016661.00Up is Bad LAPE17Admitted to hospital episodes with alcohol-related conditions (Narrow): Persons, all ages (per 100,000 population)AnnualFinancial Year2016/2017691.00Up is Bad LAPE17Admitted to hospital episodes with alcohol-related conditions (Narrow): Persons, all ages (per 100,000 population)AnnualFinancial Year2017/2018724.00Up is Bad LAPE17Admitted to hospital episodes with alcohol-related conditions (Narrow): Persons, all ages (per 100,000 population)AnnualFinancial Year2018/2019713.00Up is Bad LAPE22% of alcohol users in treatment who successfully completed drug treatment (without representation within 6 months)QuarterlyFinancial Year2013/201431.4023.6032.6030.8031.40Up is Good LAPE22% of alcohol users in treatment who successfully completed drug treatment (without representation within 6 months)QuarterlyFinancial Year2014/201531.6034.2032.2034.3031.60Up is Good LAPE22% of alcohol users in treatment who successfully completed drug treatment (without representation within 6 months)QuarterlyFinancial Year2015/201640.0032.0033.9036.9040.00Up is Good LAPE22% of alcohol users in treatment who successfully completed drug treatment (without representation within 6 months)QuarterlyFinancial Year2016/201738.1936.8139.3237.2738.19Up is Good LAPE22% of alcohol users in treatment who successfully completed drug treatment (without representation within 6 months)QuarterlyFinancial Year2017/201833.5035.2532.8834.0833.50Up is Good LAPE22% of alcohol users in treatment who successfully completed drug treatment (without representation within 6 months)QuarterlyFinancial Year2018/201931.0730.1029.6533.0731.07Up is Good LAPE22% of alcohol users in treatment who successfully completed drug treatment (without representation within 6 months)QuarterlyFinancial Year2019/202032.3630.6231.03Up is Good LDHC08% of adults with a learning disability having a GP Health Check - (VoY CCG)AnnualFinancial Year2013/201433.00Up is Good LDHC08% of adults with a learning disability having a GP Health Check - (VoY CCG)AnnualFinancial Year2014/201551.00Up is Good LM01aThroughput of visits to leisure facilities (GLL) - All Facilities (Average per 1,000 Population)MonthlyFinancial Year2017/2018221.28200.51212.05251.27221.28Neutral LM01aThroughput of visits to leisure facilities (GLL) - All Facilities (Average per 1,000 Population)MonthlyFinancial Year2018/2019230.24244.64238.93241.73241.77241.86228.08224.10231.35219.82213.75152.59195.39247.14238.95271.32252.47Neutral NCMP01% of reception year children recorded as being obese (single year)AnnualFinancial Year2010/20116.55Up is Bad NCMP01% of reception year children recorded as being obese (single year)AnnualFinancial Year2011/20128.53Up is Bad NCMP01% of reception year children recorded as being obese (single year)AnnualFinancial Year2012/20138.05Up is Bad NCMP01% of reception year children recorded as being obese (single year)AnnualFinancial Year2013/20147.82Up is Bad NCMP01% of reception year children recorded as being obese (single year)AnnualFinancial Year2014/20157.03Up is Bad NCMP01% of reception year children recorded as being obese (single year)AnnualFinancial Year2015/20168.59Up is Bad NCMP01% of reception year children recorded as being obese (single year)AnnualFinancial Year2016/20178.52Up is Bad NCMP01% of reception year children recorded as being obese (single year)AnnualFinancial Year2017/20189.28Up is Bad NCMP01% of reception year children recorded as being obese (single year)AnnualFinancial Year2018/20199.50Up is Bad NCMP02% of children in Year 6 recorded as being obese (single year)AnnualFinancial Year2010/201115.26Up is Bad NCMP02% of children in Year 6 recorded as being obese (single year)AnnualFinancial Year2011/201216.13Up is Bad NCMP02% of children in Year 6 recorded as being obese (single year)AnnualFinancial Year2012/201316.36Up is Bad NCMP02% of children in Year 6 recorded as being obese (single year)AnnualFinancial Year2013/201415.35Up is Bad NCMP02% of children in Year 6 recorded as being obese (single year)AnnualFinancial Year2014/201514.97Up is Bad NCMP02% of children in Year 6 recorded as being obese (single year)AnnualFinancial Year2015/201615.14Up is Bad NCMP02% of children in Year 6 recorded as being obese (single year)AnnualFinancial Year2016/201716.13Up is Bad NCMP02% of children in Year 6 recorded as being obese (single year)AnnualFinancial Year2017/201817.41Up is Bad NCMP02% of children in Year 6 recorded as being obese (single year)AnnualFinancial Year2018/201915.10Up is Bad NGPP01Gap in smoking prevalence rate between adult general population and adults in routine and manual occupationsAnnualFinancial Year2012/20138.07Neutral NGPP01Gap in smoking prevalence rate between adult general population and adults in routine and manual occupationsAnnualFinancial Year2013/201413.66Neutral NGPP01Gap in smoking prevalence rate between adult general population and adults in routine and manual occupationsAnnualFinancial Year2014/201515.24Neutral NGPP01Gap in smoking prevalence rate between adult general population and adults in routine and manual occupationsAnnualFinancial Year2015/201613.19Neutral NGPP01Gap in smoking prevalence rate between adult general population and adults in routine and manual occupationsAnnualFinancial Year2016/201712.09Neutral NHSOF01Potential Years of Life Lost from causes amenable to healthcare (DSR), per 100,000 populationAnnualFinancial Year2008/20092666.60Up is Bad NHSOF01Potential Years of Life Lost from causes amenable to healthcare (DSR), per 100,000 populationAnnualFinancial Year2009/20102901.00Up is Bad NHSOF01Potential Years of Life Lost from causes amenable to healthcare (DSR), per 100,000 populationAnnualFinancial Year2010/20112778.90Up is Bad NHSOF01Potential Years of Life Lost from causes amenable to healthcare (DSR), per 100,000 populationAnnualFinancial Year2011/20123051.50Up is Bad NHSOF01Potential Years of Life Lost from causes amenable to healthcare (DSR), per 100,000 populationAnnualFinancial Year2012/20132576.30Up is Bad NHSOF01Potential Years of Life Lost from causes amenable to healthcare (DSR), per 100,000 populationAnnualFinancial Year2013/20142671.80Up is Bad NHSOF01Potential Years of Life Lost from causes amenable to healthcare (DSR), per 100,000 populationAnnualFinancial Year2014/20152273.60Up is Bad PHE11Estimated dementia diagnosis rate (%) for people aged 65+ as recorded on practice disease registersAnnualFinancial Year2016/2017N/AUp is Good PHE11Estimated dementia diagnosis rate (%) for people aged 65+ as recorded on practice disease registersAnnualFinancial Year2017/201860.40Up is Good PHE11Estimated dementia diagnosis rate (%) for people aged 65+ as recorded on practice disease registersAnnualFinancial Year2018/201962.20Up is Good PHE11Estimated dementia diagnosis rate (%) for people aged 65+ as recorded on practice disease registersAnnualFinancial Year2019/202060.5060.50Up is Good PHOF01% of physically active and inactive adults - active adults AnnualFinancial Year2012/201361.54Up is Good PHOF01% of physically active and inactive adults - active adults AnnualFinancial Year2013/201466.16Up is Good PHOF01% of physically active and inactive adults - active adults AnnualFinancial Year2014/201562.18Up is Good PHOF01% of physically active and inactive adults - active adults AnnualFinancial Year2015/201669.83Up is Good PHOF01a% of adults (aged 19+) that meet CMO recommendations for physical activity (150+ moderate intensity equivalent minutes per week)AnnualFinancial Year2015/201666.71Up is Good PHOF01a% of adults (aged 19+) that meet CMO recommendations for physical activity (150+ moderate intensity equivalent minutes per week)AnnualFinancial Year2016/201772.03Up is Good PHOF01a% of adults (aged 19+) that meet CMO recommendations for physical activity (150+ moderate intensity equivalent minutes per week)AnnualFinancial Year2017/201876.40Up is Good PHOF02% of active and inactive adults - inactive adults AnnualFinancial Year2012/201323.67Up is Bad PHOF02% of active and inactive adults - inactive adults AnnualFinancial Year2013/201421.09Up is Bad PHOF02% of active and inactive adults - inactive adults AnnualFinancial Year2014/201521.57Up is Bad PHOF02% of active and inactive adults - inactive adults AnnualFinancial Year2015/201617.54Up is Bad PHOF02a% of adults (aged 19+) that are physically inactive (<30 moderate intensity equivalent minutes per week)AnnualFinancial Year2015/201621.08Up is Bad PHOF02a% of adults (aged 19+) that are physically inactive (<30 moderate intensity equivalent minutes per week)AnnualFinancial Year2016/201718.28Up is Bad PHOF02a% of adults (aged 19+) that are physically inactive (<30 moderate intensity equivalent minutes per week)AnnualFinancial Year2017/201813.80Up is Bad PHOF03Alcohol related admissions to hospital (per 100,000 population)AnnualFinancial Year2011/2012461.73Up is Bad PHOF03Alcohol related admissions to hospital (per 100,000 population)AnnualFinancial Year2012/2013594.09Up is Bad PHOF03Alcohol related admissions to hospital (per 100,000 population)AnnualFinancial Year2013/2014657.50Up is Bad PHOF03Alcohol related admissions to hospital (per 100,000 population)AnnualFinancial Year2014/2015633.84Up is Bad PHOF03Alcohol related admissions to hospital (per 100,000 population)AnnualFinancial Year2015/2016658.50Up is Bad PHOF03Alcohol related admissions to hospital (per 100,000 population)AnnualFinancial Year2016/2017687.00Up is Bad PHOF03Alcohol related admissions to hospital (per 100,000 population)AnnualFinancial Year2017/20182372.00Up is Bad PHOF06Under 18 conceptions (per 1,000 females aged 15-17) (Calendar Year)QuarterlyFinancial Year2008/200935.80Up is Bad PHOF06Under 18 conceptions (per 1,000 females aged 15-17) (Calendar Year)QuarterlyFinancial Year2009/201027.70Up is Bad PHOF06Under 18 conceptions (per 1,000 females aged 15-17) (Calendar Year)QuarterlyFinancial Year2010/201127.0027.10Up is Bad PHOF06Under 18 conceptions (per 1,000 females aged 15-17) (Calendar Year)QuarterlyFinancial Year2011/201225.3021.4027.8025.2017.60Up is Bad PHOF06Under 18 conceptions (per 1,000 females aged 15-17) (Calendar Year)QuarterlyFinancial Year2012/201322.9628.5013.4032.2019.20Up is Bad PHOF06Under 18 conceptions (per 1,000 females aged 15-17) (Calendar Year)QuarterlyFinancial Year2013/201421.5921.7021.4024.1017.70Up is Bad PHOF06Under 18 conceptions (per 1,000 females aged 15-17) (Calendar Year)QuarterlyFinancial Year2014/201515.7110.5020.9013.3022.00Up is Bad PHOF06Under 18 conceptions (per 1,000 females aged 15-17) (Calendar Year)QuarterlyFinancial Year2015/201620.4124.5018.9016.3015.20Up is Bad PHOF06Under 18 conceptions (per 1,000 females aged 15-17) (Calendar Year)QuarterlyFinancial Year2016/201714.8016.6015.1012.50Up is Bad PHOF06Under 18 conceptions (per 1,000 females aged 15-17) (Calendar Year)QuarterlyFinancial Year2017/201815.60Up is Bad PHOF06aUnder 18 conceptions (per 1,000 females aged 15-17) (Rolling 12 Months)QuarterlyFinancial Year2013/201421.4021.40Up is Bad PHOF06aUnder 18 conceptions (per 1,000 females aged 15-17) (Rolling 12 Months)QuarterlyFinancial Year2014/201516.5018.6018.5015.7016.50Up is Bad PHOF06aUnder 18 conceptions (per 1,000 females aged 15-17) (Rolling 12 Months)QuarterlyFinancial Year2015/201618.8020.0019.6020.4018.80Up is Bad PHOF06aUnder 18 conceptions (per 1,000 females aged 15-17) (Rolling 12 Months)QuarterlyFinancial Year2016/201716.8016.8015.8014.8016.80Up is Bad PHOF06aUnder 18 conceptions (per 1,000 females aged 15-17) (Rolling 12 Months)QuarterlyFinancial Year2017/201813.0014.8014.3015.6013.00Up is Bad PHOF06aUnder 18 conceptions (per 1,000 females aged 15-17) (Rolling 12 Months)QuarterlyFinancial Year2018/201913.7015.8016.10Up is Bad PHOF10% of women who smoke at the time of delivery - (VoY CCG)QuarterlyFinancial Year2010/201113.67Up is Bad PHOF10% of women who smoke at the time of delivery - (VoY CCG)QuarterlyFinancial Year2011/201213.95Up is Bad PHOF10% of women who smoke at the time of delivery - (VoY CCG)QuarterlyFinancial Year2012/201313.71Up is Bad PHOF10% of women who smoke at the time of delivery - (VoY CCG)QuarterlyFinancial Year2013/201410.63Up is Bad PHOF10% of women who smoke at the time of delivery - (VoY CCG)QuarterlyFinancial Year2014/201510.80Up is Bad PHOF10% of women who smoke at the time of delivery - (VoY CCG)QuarterlyFinancial Year2015/201612.0613.5010.3012.7013.50Up is Bad PHOF10% of women who smoke at the time of delivery - (VoY CCG)QuarterlyFinancial Year2016/201711.0111.969.7010.3012.26Up is Bad PHOF10% of women who smoke at the time of delivery - (VoY CCG)QuarterlyFinancial Year2017/201810.4010.1311.977.5212.30Up is Bad PHOF10% of women who smoke at the time of delivery - (VoY CCG)QuarterlyFinancial Year2018/201911.60Up is Bad PHOF10% of women who smoke at the time of delivery - (VoY CCG)QuarterlyFinancial Year2019/202011.60Up is Bad PHOF11Cumulative % of eligible population aged 40-74 offered an NHS Health Check (5 year period April 2013 to March 2018)QuarterlyFinancial Year2013/201420.933.339.6715.0720.93Up is Good PHOF11Cumulative % of eligible population aged 40-74 offered an NHS Health Check (5 year period April 2013 to March 2018)QuarterlyFinancial Year2014/201538.1122.5326.6831.8038.11Up is Good PHOF11Cumulative % of eligible population aged 40-74 offered an NHS Health Check (5 year period April 2013 to March 2018)QuarterlyFinancial Year2015/201670.6748.4357.0063.4070.67Up is Good PHOF11Cumulative % of eligible population aged 40-74 offered an NHS Health Check (5 year period April 2013 to March 2018)QuarterlyFinancial Year2016/201772.5071.9172.2072.2072.50Up is Good PHOF11Cumulative % of eligible population aged 40-74 offered an NHS Health Check (5 year period April 2013 to March 2018)QuarterlyFinancial Year2017/201872.7072.5072.6072.7072.70Up is Good PHOF11bCumulative % of eligible population aged 40-74 offered an NHS Health Check who received an NHS Health Check (5 year period April 2013 to March 2018)QuarterlyFinancial Year2013/201441.5446.9145.7543.7741.54Up is Good PHOF11bCumulative % of eligible population aged 40-74 offered an NHS Health Check who received an NHS Health Check (5 year period April 2013 to March 2018)QuarterlyFinancial Year2014/201539.3541.7541.6441.1239.35Up is Good PHOF11bCumulative % of eligible population aged 40-74 offered an NHS Health Check who received an NHS Health Check (5 year period April 2013 to March 2018)QuarterlyFinancial Year2015/201637.5739.3238.6337.8137.57Up is Good PHOF11bCumulative % of eligible population aged 40-74 offered an NHS Health Check who received an NHS Health Check (5 year period April 2013 to March 2018)QuarterlyFinancial Year2016/201737.4037.4737.3037.4037.40Up is Good PHOF11bCumulative % of eligible population aged 40-74 offered an NHS Health Check who received an NHS Health Check (5 year period April 2013 to March 2018)QuarterlyFinancial Year2017/201837.8037.6037.6037.7037.80Up is Good PHOF12Cumulative % of eligible population aged 40-74 who received an NHS Health Check (5 year period April 2013 to March 2018)QuarterlyFinancial Year2013/20148.691.564.426.608.69Up is Good PHOF12Cumulative % of eligible population aged 40-74 who received an NHS Health Check (5 year period April 2013 to March 2018)QuarterlyFinancial Year2014/201514.999.4111.1113.0714.99Up is Good PHOF12Cumulative % of eligible population aged 40-74 who received an NHS Health Check (5 year period April 2013 to March 2018)QuarterlyFinancial Year2015/201626.5519.0422.0223.9726.55Up is Good PHOF12Cumulative % of eligible population aged 40-74 who received an NHS Health Check (5 year period April 2013 to March 2018)QuarterlyFinancial Year2016/201727.1026.9526.9027.0027.10Up is Good PHOF12Cumulative % of eligible population aged 40-74 who received an NHS Health Check (5 year period April 2013 to March 2018)QuarterlyFinancial Year2017/201827.5027.3027.3027.4027.50Up is Good PHOF16Life Expectancy at birth - FemaleAnnualFinancial Year2011/201283.20Up is Good PHOF16Life Expectancy at birth - FemaleAnnualFinancial Year2012/201383.20Up is Good PHOF16Life Expectancy at birth - FemaleAnnualFinancial Year2013/201483.50Up is Good PHOF16Life Expectancy at birth - FemaleAnnualFinancial Year2014/201583.50Up is Good PHOF16Life Expectancy at birth - FemaleAnnualFinancial Year2015/201683.40Up is Good PHOF16Life Expectancy at birth - FemaleAnnualFinancial Year2016/201783.50Up is Good PHOF16Life Expectancy at birth - FemaleAnnualFinancial Year2017/201883.50Up is Good PHOF16Life Expectancy at birth - FemaleAnnualFinancial Year2018/201983.40Up is Good PHOF162Smoking prevalence in adults (18-64) - socio-economic gap in current smokers (APS) RatioAnnualFinancial Year2016/20173.43Up is Bad PHOF162Smoking prevalence in adults (18-64) - socio-economic gap in current smokers (APS) RatioAnnualFinancial Year2017/20185.31Up is Bad PHOF162Smoking prevalence in adults (18-64) - socio-economic gap in current smokers (APS) RatioAnnualFinancial Year2018/20191.89Up is Bad PHOF17Slope index of inequality in life expectancy at birth - Female - (Three year period)AnnualFinancial Year2011/20125.41Up is Bad PHOF17Slope index of inequality in life expectancy at birth - Female - (Three year period)AnnualFinancial Year2012/20135.80Up is Bad PHOF17Slope index of inequality in life expectancy at birth - Female - (Three year period)AnnualFinancial Year2013/20146.10Up is Bad PHOF17Slope index of inequality in life expectancy at birth - Female - (Three year period)AnnualFinancial Year2014/20155.40Up is Bad PHOF17Slope index of inequality in life expectancy at birth - Female - (Three year period)AnnualFinancial Year2015/20164.30Up is Bad PHOF17Slope index of inequality in life expectancy at birth - Female - (Three year period)AnnualFinancial Year2016/20174.20Up is Bad PHOF17Slope index of inequality in life expectancy at birth - Female - (Three year period)AnnualFinancial Year2017/20185.20Up is Bad PHOF17Slope index of inequality in life expectancy at birth - Female - (Three year period)AnnualFinancial Year2018/20196.20Up is Bad PHOF171Newborn bloodspot screening - coverageAnnualFinancial Year2013/201493.04Up is Good PHOF171Newborn bloodspot screening - coverageAnnualFinancial Year2014/201591.40Up is Good PHOF171Newborn bloodspot screening - coverageAnnualFinancial Year2015/201696.24Up is Good PHOF171Newborn bloodspot screening - coverageAnnualFinancial Year2016/2017N/AUp is Good PHOF171Newborn bloodspot screening - coverageAnnualFinancial Year2017/2018N/AUp is Good PHOF172Newborn hearing screening - coverageAnnualFinancial Year2013/201499.41Up is Good PHOF172Newborn hearing screening - coverageAnnualFinancial Year2014/201599.24Up is Good PHOF172Newborn hearing screening - coverageAnnualFinancial Year2015/201699.45Up is Good PHOF172Newborn hearing screening - coverageAnnualFinancial Year2016/2017N/AUp is Good PHOF172Newborn hearing screening - coverageAnnualFinancial Year2017/201899.70Up is Good PHOF20% of population smoking (routine and manual workers) (APS)AnnualFinancial Year2012/201325.70Up is Bad PHOF20% of population smoking (routine and manual workers) (APS)AnnualFinancial Year2013/201434.40Up is Bad PHOF20% of population smoking (routine and manual workers) (APS)AnnualFinancial Year2014/201532.80Up is Bad PHOF20% of population smoking (routine and manual workers) (APS)AnnualFinancial Year2015/201628.20Up is Bad PHOF20% of population smoking (routine and manual workers) (APS)AnnualFinancial Year2016/201726.40Up is Bad PHOF20% of population smoking (routine and manual workers) (APS)AnnualFinancial Year2017/201824.60Up is Bad PHOF20% of population smoking (routine and manual workers) (APS)AnnualFinancial Year2018/201918.60Up is Bad PHOF21Injuries due to falls in people aged 65 and over (per 100,000 population)AnnualFinancial Year2011/20122143.31Up is Bad PHOF21Injuries due to falls in people aged 65 and over (per 100,000 population)AnnualFinancial Year2012/20132037.64Up is Bad PHOF21Injuries due to falls in people aged 65 and over (per 100,000 population)AnnualFinancial Year2013/20142091.50Up is Bad PHOF21Injuries due to falls in people aged 65 and over (per 100,000 population)AnnualFinancial Year2014/20152097.00Up is Bad PHOF21Injuries due to falls in people aged 65 and over (per 100,000 population)AnnualFinancial Year2015/20162329.00Up is Bad PHOF21Injuries due to falls in people aged 65 and over (per 100,000 population)AnnualFinancial Year2016/20172256.00Up is Bad PHOF21Injuries due to falls in people aged 65 and over (per 100,000 population)AnnualFinancial Year2017/20182230.00Up is Bad PHOF21Injuries due to falls in people aged 65 and over (per 100,000 population)AnnualFinancial Year2018/20192485.00Up is Bad PHOF24% of the population exposed to road, rail and air transport noise of 55 dB(A) or more during the night-timeFive YearsFinancial Year2011/20125.04Up is Bad PHOF24% of the population exposed to road, rail and air transport noise of 55 dB(A) or more during the night-timeFive YearsFinancial Year2012/20135.04Up is Bad PHOF24% of the population exposed to road, rail and air transport noise of 55 dB(A) or more during the night-timeFive YearsFinancial Year2013/20145.04Up is Bad PHOF24% of the population exposed to road, rail and air transport noise of 55 dB(A) or more during the night-timeFive YearsFinancial Year2014/20155.04Up is Bad PHOF24% of the population exposed to road, rail and air transport noise of 55 dB(A) or more during the night-timeFive YearsFinancial Year2015/20165.04Up is Bad PHOF24% of the population exposed to road, rail and air transport noise of 55 dB(A) or more during the night-timeFive YearsFinancial Year2016/20175.51Up is Bad PHOF24% of the population exposed to road, rail and air transport noise of 55 dB(A) or more during the night-timeFive YearsFinancial Year2017/2018NCUp is Bad PHOF24% of the population exposed to road, rail and air transport noise of 55 dB(A) or more during the night-timeFive YearsFinancial Year2018/20195.51Up is Bad PHOF24% of the population exposed to road, rail and air transport noise of 55 dB(A) or more during the night-timeFive YearsFinancial Year2019/20205.51Up is Bad PHOF27Under 18 conceptions: conceptions in those aged under 16 (per 1,000 females aged 13-15) (Calendar Year)AnnualFinancial Year2009/20106.50Up is Bad PHOF27Under 18 conceptions: conceptions in those aged under 16 (per 1,000 females aged 13-15) (Calendar Year)AnnualFinancial Year2010/20117.30Up is Bad PHOF27Under 18 conceptions: conceptions in those aged under 16 (per 1,000 females aged 13-15) (Calendar Year)AnnualFinancial Year2011/20123.40Up is Bad PHOF27Under 18 conceptions: conceptions in those aged under 16 (per 1,000 females aged 13-15) (Calendar Year)AnnualFinancial Year2012/20136.17Up is Bad PHOF27Under 18 conceptions: conceptions in those aged under 16 (per 1,000 females aged 13-15) (Calendar Year)AnnualFinancial Year2013/20142.83Up is Bad PHOF27Under 18 conceptions: conceptions in those aged under 16 (per 1,000 females aged 13-15) (Calendar Year)AnnualFinancial Year2014/20152.13Up is Bad PHOF27Under 18 conceptions: conceptions in those aged under 16 (per 1,000 females aged 13-15) (Calendar Year)AnnualFinancial Year2015/20161.82Up is Bad PHOF27Under 18 conceptions: conceptions in those aged under 16 (per 1,000 females aged 13-15) (Calendar Year)AnnualFinancial Year2016/20175.10Up is Bad PHOF27Under 18 conceptions: conceptions in those aged under 16 (per 1,000 females aged 13-15) (Calendar Year)AnnualFinancial Year2017/20182.50Up is Bad PHOF28Hospital admissions caused by unintentional and deliberate injuries in children (aged 0-14 years) (per 10,000 resident population)AnnualFinancial Year2010/201199.33Up is Bad PHOF28Hospital admissions caused by unintentional and deliberate injuries in children (aged 0-14 years) (per 10,000 resident population)AnnualFinancial Year2011/201299.53Up is Bad PHOF28Hospital admissions caused by unintentional and deliberate injuries in children (aged 0-14 years) (per 10,000 resident population)AnnualFinancial Year2012/201395.84Up is Bad PHOF28Hospital admissions caused by unintentional and deliberate injuries in children (aged 0-14 years) (per 10,000 resident population)AnnualFinancial Year2013/201499.79Up is Bad PHOF28Hospital admissions caused by unintentional and deliberate injuries in children (aged 0-14 years) (per 10,000 resident population)AnnualFinancial Year2014/2015110.89Up is Bad PHOF28Hospital admissions caused by unintentional and deliberate injuries in children (aged 0-14 years) (per 10,000 resident population)AnnualFinancial Year2015/2016103.56Up is Bad PHOF28Hospital admissions caused by unintentional and deliberate injuries in children (aged 0-14 years) (per 10,000 resident population)AnnualFinancial Year2016/2017119.10Up is Bad PHOF28Hospital admissions caused by unintentional and deliberate injuries in children (aged 0-14 years) (per 10,000 resident population)AnnualFinancial Year2017/2018129.70Up is Bad PHOF28Hospital admissions caused by unintentional and deliberate injuries in children (aged 0-14 years) (per 10,000 resident population)AnnualFinancial Year2018/2019116.60Up is Bad PHOF29Cancer screening coverage - breast cancer (% eligible women screened adequately within previous 3 years)AnnualFinancial Year2011/201282.91Up is Good PHOF29Cancer screening coverage - breast cancer (% eligible women screened adequately within previous 3 years)AnnualFinancial Year2012/201382.44Up is Good PHOF29Cancer screening coverage - breast cancer (% eligible women screened adequately within previous 3 years)AnnualFinancial Year2013/201481.42Up is Good PHOF29Cancer screening coverage - breast cancer (% eligible women screened adequately within previous 3 years)AnnualFinancial Year2014/201580.63Up is Good PHOF29Cancer screening coverage - breast cancer (% eligible women screened adequately within previous 3 years)AnnualFinancial Year2015/201680.00Up is Good PHOF29Cancer screening coverage - breast cancer (% eligible women screened adequately within previous 3 years)AnnualFinancial Year2016/201779.90Up is Good PHOF29Cancer screening coverage - breast cancer (% eligible women screened adequately within previous 3 years)AnnualFinancial Year2017/201879.60Up is Good PHOF29Cancer screening coverage - breast cancer (% eligible women screened adequately within previous 3 years)AnnualFinancial Year2018/201978.90Up is Good PHOF30Cancer screening coverage - cervical cancer (% eligible women screened adequately within previous 3.5 or 5.5 years)AnnualFinancial Year2010/201177.38Up is Good PHOF30Cancer screening coverage - cervical cancer (% eligible women screened adequately within previous 3.5 or 5.5 years)AnnualFinancial Year2011/201276.93Up is Good PHOF30Cancer screening coverage - cervical cancer (% eligible women screened adequately within previous 3.5 or 5.5 years)AnnualFinancial Year2012/201375.97Up is Good PHOF30Cancer screening coverage - cervical cancer (% eligible women screened adequately within previous 3.5 or 5.5 years)AnnualFinancial Year2013/201474.75Up is Good PHOF30Cancer screening coverage - cervical cancer (% eligible women screened adequately within previous 3.5 or 5.5 years)AnnualFinancial Year2014/201574.69Up is Good PHOF30Cancer screening coverage - cervical cancer (% eligible women screened adequately within previous 3.5 or 5.5 years)AnnualFinancial Year2015/201673.69Up is Good PHOF30Cancer screening coverage - cervical cancer (% eligible women screened adequately within previous 3.5 or 5.5 years)AnnualFinancial Year2016/201773.80Up is Good PHOF30Cancer screening coverage - cervical cancer (% eligible women screened adequately within previous 3.5 or 5.5 years)AnnualFinancial Year2017/201873.00Up is Good PHOF30Cancer screening coverage - cervical cancer (% eligible women screened adequately within previous 3.5 or 5.5 years)AnnualFinancial Year2018/201971.70Up is Good PHOF31% of eligible population aged 40-74 who received an NHS Health CheckQuarterlyFinancial Year2013/20148.691.562.862.172.10Up is Good PHOF31% of eligible population aged 40-74 who received an NHS Health CheckQuarterlyFinancial Year2014/20157.321.741.701.961.92Up is Good PHOF31% of eligible population aged 40-74 who received an NHS Health CheckQuarterlyFinancial Year2015/20169.812.302.981.952.58Up is Good PHOF31% of eligible population aged 40-74 who received an NHS Health CheckQuarterlyFinancial Year2016/20170.200.000.000.100.10Up is Good PHOF31% of eligible population aged 40-74 who received an NHS Health CheckQuarterlyFinancial Year2017/20180.500.200.100.100.10Up is Good PHOF31% of eligible population aged 40-74 who received an NHS Health CheckQuarterlyFinancial Year2018/20192.300.100.600.700.90Up is Good PHOF31% of eligible population aged 40-74 who received an NHS Health CheckQuarterlyFinancial Year2019/20200.700.600.69Up is Good PHOF32Suicide rate (per 100,000 population)AnnualFinancial Year2008/20098.45Up is Bad PHOF32Suicide rate (per 100,000 population)AnnualFinancial Year2009/20108.99Up is Bad PHOF32Suicide rate (per 100,000 population)AnnualFinancial Year2010/20119.59Up is Bad PHOF32Suicide rate (per 100,000 population)AnnualFinancial Year2011/20128.33Up is Bad PHOF32Suicide rate (per 100,000 population)AnnualFinancial Year2012/20137.79Up is Bad PHOF32Suicide rate (per 100,000 population)AnnualFinancial Year2013/201411.30Up is Bad PHOF32Suicide rate (per 100,000 population)AnnualFinancial Year2014/201511.10Up is Bad PHOF32Suicide rate (per 100,000 population)AnnualFinancial Year2015/201614.00Up is Bad PHOF32Suicide rate (per 100,000 population)AnnualFinancial Year2016/201712.70Up is Bad PHOF32Suicide rate (per 100,000 population)AnnualFinancial Year2017/201813.40Up is Bad PHOF32Suicide rate (per 100,000 population)AnnualFinancial Year2018/201911.90Up is Bad PHOF33Excess Winter Deaths Index (all ages single year)AnnualFinancial Year2008/200917.40Up is Bad PHOF33Excess Winter Deaths Index (all ages single year)AnnualFinancial Year2009/201034.47Up is Bad PHOF33Excess Winter Deaths Index (all ages single year)AnnualFinancial Year2010/201119.20Up is Bad PHOF33Excess Winter Deaths Index (all ages single year)AnnualFinancial Year2011/201223.50Up is Bad PHOF33Excess Winter Deaths Index (all ages single year)AnnualFinancial Year2012/201315.63Up is Bad PHOF33Excess Winter Deaths Index (all ages single year)AnnualFinancial Year2013/201414.71Up is Bad PHOF33Excess Winter Deaths Index (all ages single year)AnnualFinancial Year2014/201516.84Up is Bad PHOF33Excess Winter Deaths Index (all ages single year)AnnualFinancial Year2015/201626.18Up is Bad PHOF33Excess Winter Deaths Index (all ages single year)AnnualFinancial Year2016/201731.00Up is Bad PHOF33Excess Winter Deaths Index (all ages single year)AnnualFinancial Year2017/201831.90Up is Bad PHOF36Life Expectancy at birth - MaleAnnualFinancial Year2011/201279.40Up is Good PHOF36Life Expectancy at birth - MaleAnnualFinancial Year2012/201379.60Up is Good PHOF36Life Expectancy at birth - MaleAnnualFinancial Year2013/201479.40Up is Good PHOF36Life Expectancy at birth - MaleAnnualFinancial Year2014/201580.10Up is Good PHOF36Life Expectancy at birth - MaleAnnualFinancial Year2015/201680.20Up is Good PHOF36Life Expectancy at birth - MaleAnnualFinancial Year2016/201780.40Up is Good PHOF36Life Expectancy at birth - MaleAnnualFinancial Year2017/201880.20Up is Good PHOF36Life Expectancy at birth - MaleAnnualFinancial Year2018/201980.10Up is Good PHOF37Slope index of inequality in life expectancy at birth - Male - (Three year period)AnnualFinancial Year2011/20128.45Up is Bad PHOF37Slope index of inequality in life expectancy at birth - Male - (Three year period)AnnualFinancial Year2012/20136.40Up is Bad PHOF37Slope index of inequality in life expectancy at birth - Male - (Three year period)AnnualFinancial Year2013/20146.60Up is Bad PHOF37Slope index of inequality in life expectancy at birth - Male - (Three year period)AnnualFinancial Year2014/20155.60Up is Bad PHOF37Slope index of inequality in life expectancy at birth - Male - (Three year period)AnnualFinancial Year2015/20167.20Up is Bad PHOF37Slope index of inequality in life expectancy at birth - Male - (Three year period)AnnualFinancial Year2016/20177.70Up is Bad PHOF37Slope index of inequality in life expectancy at birth - Male - (Three year period)AnnualFinancial Year2017/20188.90Up is Bad PHOF37Slope index of inequality in life expectancy at birth - Male - (Three year period)AnnualFinancial Year2018/20198.40Up is Bad PHOF39Average strengths and difficulties score of the emotional and behavioural health of children in care for more than 1 year - (Snapshot)MonthlyFinancial Year2010/201113.50Up is Bad PHOF39Average strengths and difficulties score of the emotional and behavioural health of children in care for more than 1 year - (Snapshot)MonthlyFinancial Year2011/201214.10Up is Bad PHOF39Average strengths and difficulties score of the emotional and behavioural health of children in care for more than 1 year - (Snapshot)MonthlyFinancial Year2012/201314.30Up is Bad PHOF39Average strengths and difficulties score of the emotional and behavioural health of children in care for more than 1 year - (Snapshot)MonthlyFinancial Year2013/201415.90Up is Bad PHOF39Average strengths and difficulties score of the emotional and behavioural health of children in care for more than 1 year - (Snapshot)MonthlyFinancial Year2014/201513.10Up is Bad PHOF39Average strengths and difficulties score of the emotional and behavioural health of children in care for more than 1 year - (Snapshot)MonthlyFinancial Year2015/201613.0016.9020.8021.3013.00Up is Bad PHOF39Average strengths and difficulties score of the emotional and behavioural health of children in care for more than 1 year - (Snapshot)MonthlyFinancial Year2016/201716.1114.8614.3514.6616.1116.11Up is Bad PHOF39Average strengths and difficulties score of the emotional and behavioural health of children in care for more than 1 year - (Snapshot)MonthlyFinancial Year2017/201815.1915.1515.5015.6415.6415.6515.4415.6515.6515.9015.9415.4915.4915.5115.2115.1915.19Up is Bad PHOF39Average strengths and difficulties score of the emotional and behavioural health of children in care for more than 1 year - (Snapshot)MonthlyFinancial Year2018/201913.9614.9815.2215.0015.0015.1014.8314.5814.5814.6014.2714.1914.1914.5214.5513.9613.96Up is Bad PHOF39Average strengths and difficulties score of the emotional and behavioural health of children in care for more than 1 year - (Snapshot)MonthlyFinancial Year2019/202014.1513.9014.0313.9413.9413.9214.3114.3414.3414.2714.7914.5214.5214.0514.0214.1514.15Up is Bad PHOF40Gap in employment rate for mental health clients and the overall employment rateAnnualFinancial Year2011/201264.30Up is Bad PHOF40Gap in employment rate for mental health clients and the overall employment rateAnnualFinancial Year2012/201363.20Up is Bad PHOF40Gap in employment rate for mental health clients and the overall employment rateAnnualFinancial Year2013/201462.90Up is Bad PHOF40Gap in employment rate for mental health clients and the overall employment rateAnnualFinancial Year2014/201563.20Up is Bad PHOF40Gap in employment rate for mental health clients and the overall employment rateAnnualFinancial Year2015/201669.30Up is Bad PHOF40Gap in employment rate for mental health clients and the overall employment rateAnnualFinancial Year2016/201768.50Up is Bad PHOF40Gap in employment rate for mental health clients and the overall employment rateAnnualFinancial Year2017/201863.90Up is Bad PHOF44% of adults classified as overweight or obeseAnnualFinancial Year2014/201556.88Up is Bad PHOF44% of adults classified as overweight or obeseAnnualFinancial Year2015/201656.40Up is Bad PHOF44a% of adults (aged 18+) classified as overweight or obese (new definition)AnnualFinancial Year2015/201659.40Up is Bad PHOF44a% of adults (aged 18+) classified as overweight or obese (new definition)AnnualFinancial Year2016/201760.44Up is Bad PHOF44a% of adults (aged 18+) classified as overweight or obese (new definition)AnnualFinancial Year2017/201854.40Up is Bad PHOF45% of population smoking (APS)AnnualFinancial Year2012/201317.01Up is Bad PHOF45% of population smoking (APS)AnnualFinancial Year2013/201418.72Up is Bad PHOF45% of population smoking (APS)AnnualFinancial Year2014/201517.24Up is Bad PHOF45% of population smoking (APS)AnnualFinancial Year2015/201614.63Up is Bad PHOF45% of population smoking (APS)AnnualFinancial Year2016/201712.60Up is Bad PHOF45% of population smoking (APS)AnnualFinancial Year2017/20189.00Up is Bad PHOF45% of population smoking (APS)AnnualFinancial Year2018/201911.50Up is Bad PHOF46Mortality rate from causes considered preventable (per 100,000 population)AnnualFinancial Year2011/2012187.19Up is Bad PHOF46Mortality rate from causes considered preventable (per 100,000 population)AnnualFinancial Year2012/2013189.91Up is Bad PHOF46Mortality rate from causes considered preventable (per 100,000 population)AnnualFinancial Year2013/2014490.77Up is Bad PHOF46Mortality rate from causes considered preventable (per 100,000 population)AnnualFinancial Year2014/2015176.11Up is Bad PHOF46Mortality rate from causes considered preventable (per 100,000 population)AnnualFinancial Year2015/2016169.27Up is Bad PHOF46Mortality rate from causes considered preventable (per 100,000 population)AnnualFinancial Year2016/2017162.85Up is Bad PHOF46Mortality rate from causes considered preventable (per 100,000 population)AnnualFinancial Year2017/2018168.90Up is Bad PHOF46Mortality rate from causes considered preventable (per 100,000 population)AnnualFinancial Year2018/2019175.00Up is Bad PHOF49Under 75 mortality rate from all cardiovascular diseases (per 100,000 population)AnnualFinancial Year2011/201275.47Up is Bad PHOF49Under 75 mortality rate from all cardiovascular diseases (per 100,000 population)AnnualFinancial Year2012/201372.07Up is Bad PHOF49Under 75 mortality rate from all cardiovascular diseases (per 100,000 population)AnnualFinancial Year2013/201473.30Up is Bad PHOF49Under 75 mortality rate from all cardiovascular diseases (per 100,000 population)AnnualFinancial Year2014/201569.41Up is Bad PHOF49Under 75 mortality rate from all cardiovascular diseases (per 100,000 population)AnnualFinancial Year2015/201667.85Up is Bad PHOF49Under 75 mortality rate from all cardiovascular diseases (per 100,000 population)AnnualFinancial Year2016/201765.00Up is Bad PHOF49Under 75 mortality rate from all cardiovascular diseases (per 100,000 population)AnnualFinancial Year2017/201864.90Up is Bad PHOF49Under 75 mortality rate from all cardiovascular diseases (per 100,000 population)AnnualFinancial Year2018/201967.50Up is Bad PHOF50Under 75 mortality rate from all cardiovascular diseases (per 100,000 population) - MaleAnnualFinancial Year2011/2012119.32Up is Bad PHOF50Under 75 mortality rate from all cardiovascular diseases (per 100,000 population) - MaleAnnualFinancial Year2012/2013114.10Up is Bad PHOF50Under 75 mortality rate from all cardiovascular diseases (per 100,000 population) - MaleAnnualFinancial Year2013/2014115.70Up is Bad PHOF50Under 75 mortality rate from all cardiovascular diseases (per 100,000 population) - MaleAnnualFinancial Year2014/2015102.10Up is Bad PHOF50Under 75 mortality rate from all cardiovascular diseases (per 100,000 population) - MaleAnnualFinancial Year2015/201698.50Up is Bad PHOF50Under 75 mortality rate from all cardiovascular diseases (per 100,000 population) - MaleAnnualFinancial Year2016/201793.30Up is Bad PHOF50Under 75 mortality rate from all cardiovascular diseases (per 100,000 population) - MaleAnnualFinancial Year2017/201894.70Up is Bad PHOF50Under 75 mortality rate from all cardiovascular diseases (per 100,000 population) - MaleAnnualFinancial Year2018/201996.30Up is Bad PHOF55Under 75 mortality rate from cancer (per 100,000 population)AnnualFinancial Year2011/2012146.30Up is Bad PHOF55Under 75 mortality rate from cancer (per 100,000 population)AnnualFinancial Year2012/2013149.53Up is Bad PHOF55Under 75 mortality rate from cancer (per 100,000 population)AnnualFinancial Year2013/2014149.89Up is Bad PHOF55Under 75 mortality rate from cancer (per 100,000 population)AnnualFinancial Year2014/2015140.20Up is Bad PHOF55Under 75 mortality rate from cancer (per 100,000 population)AnnualFinancial Year2015/2016130.70Up is Bad PHOF55Under 75 mortality rate from cancer (per 100,000 population)AnnualFinancial Year2016/2017130.80Up is Bad PHOF55Under 75 mortality rate from cancer (per 100,000 population)AnnualFinancial Year2017/2018133.10Up is Bad PHOF55Under 75 mortality rate from cancer (per 100,000 population)AnnualFinancial Year2018/2019134.00Up is Bad PHOF56Under 75 mortality rate from cancer (per 100,000 population) - MaleAnnualFinancial Year2011/2012160.09Up is Bad PHOF56Under 75 mortality rate from cancer (per 100,000 population) - MaleAnnualFinancial Year2012/2013163.67Up is Bad PHOF56Under 75 mortality rate from cancer (per 100,000 population) - MaleAnnualFinancial Year2013/2014171.06Up is Bad PHOF56Under 75 mortality rate from cancer (per 100,000 population) - MaleAnnualFinancial Year2014/2015163.27Up is Bad PHOF56Under 75 mortality rate from cancer (per 100,000 population) - MaleAnnualFinancial Year2015/2016154.45Up is Bad PHOF56Under 75 mortality rate from cancer (per 100,000 population) - MaleAnnualFinancial Year2016/2017145.79Up is Bad PHOF56Under 75 mortality rate from cancer (per 100,000 population) - MaleAnnualFinancial Year2017/2018148.30Up is Bad PHOF56Under 75 mortality rate from cancer (per 100,000 population) - MaleAnnualFinancial Year2018/2019143.30Up is Bad PHOF61Under 75 mortality rate from liver disease (per 100,000 population)AnnualFinancial Year2011/201213.15Up is Bad PHOF61Under 75 mortality rate from liver disease (per 100,000 population)AnnualFinancial Year2012/201314.84Up is Bad PHOF61Under 75 mortality rate from liver disease (per 100,000 population)AnnualFinancial Year2013/201413.59Up is Bad PHOF61Under 75 mortality rate from liver disease (per 100,000 population)AnnualFinancial Year2014/201513.58Up is Bad PHOF61Under 75 mortality rate from liver disease (per 100,000 population)AnnualFinancial Year2015/201614.94Up is Bad PHOF61Under 75 mortality rate from liver disease (per 100,000 population)AnnualFinancial Year2016/201716.50Up is Bad PHOF61Under 75 mortality rate from liver disease (per 100,000 population)AnnualFinancial Year2017/201816.60Up is Bad PHOF61Under 75 mortality rate from liver disease (per 100,000 population)AnnualFinancial Year2018/201914.80Up is Bad PHOF62Under 75 mortality rate from liver disease (per 100,000 population) - MaleAnnualFinancial Year2011/201215.35Up is Bad PHOF62Under 75 mortality rate from liver disease (per 100,000 population) - MaleAnnualFinancial Year2012/201316.71Up is Bad PHOF62Under 75 mortality rate from liver disease (per 100,000 population) - MaleAnnualFinancial Year2013/201416.16Up is Bad PHOF62Under 75 mortality rate from liver disease (per 100,000 population) - MaleAnnualFinancial Year2014/201516.45Up is Bad PHOF62Under 75 mortality rate from liver disease (per 100,000 population) - MaleAnnualFinancial Year2015/201618.51Up is Bad PHOF62Under 75 mortality rate from liver disease (per 100,000 population) - MaleAnnualFinancial Year2016/201720.28Up is Bad PHOF62Under 75 mortality rate from liver disease (per 100,000 population) - MaleAnnualFinancial Year2017/201823.30Up is Bad PHOF62Under 75 mortality rate from liver disease (per 100,000 population) - MaleAnnualFinancial Year2018/201921.00Up is Bad PHOF66Under 75 mortality rate from respiratory disease (per 100,000 population)AnnualFinancial Year2011/201233.71Up is Bad PHOF66Under 75 mortality rate from respiratory disease (per 100,000 population)AnnualFinancial Year2012/201332.33Up is Bad PHOF66Under 75 mortality rate from respiratory disease (per 100,000 population)AnnualFinancial Year2013/201433.11Up is Bad PHOF66Under 75 mortality rate from respiratory disease (per 100,000 population)AnnualFinancial Year2014/201531.60Up is Bad PHOF66Under 75 mortality rate from respiratory disease (per 100,000 population)AnnualFinancial Year2015/201631.17Up is Bad PHOF66Under 75 mortality rate from respiratory disease (per 100,000 population)AnnualFinancial Year2016/201728.40Up is Bad PHOF66Under 75 mortality rate from respiratory disease (per 100,000 population)AnnualFinancial Year2017/201829.50Up is Bad PHOF66Under 75 mortality rate from respiratory disease (per 100,000 population)AnnualFinancial Year2018/201933.70Up is Bad PHOF67Under 75 mortality rate from respiratory disease (per 100,000 population) - MaleAnnualFinancial Year2011/201237.82Up is Bad PHOF67Under 75 mortality rate from respiratory disease (per 100,000 population) - MaleAnnualFinancial Year2012/201336.12Up is Bad PHOF67Under 75 mortality rate from respiratory disease (per 100,000 population) - MaleAnnualFinancial Year2013/201438.30Up is Bad PHOF67Under 75 mortality rate from respiratory disease (per 100,000 population) - MaleAnnualFinancial Year2014/201536.24Up is Bad PHOF67Under 75 mortality rate from respiratory disease (per 100,000 population) - MaleAnnualFinancial Year2015/201632.98Up is Bad PHOF67Under 75 mortality rate from respiratory disease (per 100,000 population) - MaleAnnualFinancial Year2016/201730.76Up is Bad PHOF67Under 75 mortality rate from respiratory disease (per 100,000 population) - MaleAnnualFinancial Year2017/201832.00Up is Bad PHOF67Under 75 mortality rate from respiratory disease (per 100,000 population) - MaleAnnualFinancial Year2018/201938.30Up is Bad PHOF72Mortality from communicable diseases (per 100,000 population)AnnualFinancial Year2011/201270.91Up is Bad PHOF72Mortality from communicable diseases (per 100,000 population)AnnualFinancial Year2012/201364.75Up is Bad PHOF72Mortality from communicable diseases (per 100,000 population)AnnualFinancial Year2013/201460.81Up is Bad PHOF72Mortality from communicable diseases (per 100,000 population)AnnualFinancial Year2014/201554.49Up is Bad PHOF72Mortality from communicable diseases (per 100,000 population)AnnualFinancial Year2016/20176.98Up is Bad PHOF72Mortality from communicable diseases (per 100,000 population)AnnualFinancial Year2017/20187.90Up is Bad PHOF72Mortality from communicable diseases (per 100,000 population)AnnualFinancial Year2018/201910.00Up is Bad PHOF76% of opiate users in treatment who successfully completed drug treatment (without representation within 6 months)QuarterlyFinancial Year2010/20114.34Up is Good PHOF76% of opiate users in treatment who successfully completed drug treatment (without representation within 6 months)QuarterlyFinancial Year2011/20127.84Up is Good PHOF76% of opiate users in treatment who successfully completed drug treatment (without representation within 6 months)QuarterlyFinancial Year2012/20136.42Up is Good PHOF76% of opiate users in treatment who successfully completed drug treatment (without representation within 6 months)QuarterlyFinancial Year2013/20147.006.405.106.207.00Up is Good PHOF76% of opiate users in treatment who successfully completed drug treatment (without representation within 6 months)QuarterlyFinancial Year2014/20155.206.206.006.105.20Up is Good PHOF76% of opiate users in treatment who successfully completed drug treatment (without representation within 6 months)QuarterlyFinancial Year2015/20165.505.506.105.905.50Up is Good PHOF76% of opiate users in treatment who successfully completed drug treatment (without representation within 6 months)QuarterlyFinancial Year2016/20179.396.077.978.059.39Up is Good PHOF76% of opiate users in treatment who successfully completed drug treatment (without representation within 6 months)QuarterlyFinancial Year2017/20186.309.398.797.756.30Up is Good PHOF76% of opiate users in treatment who successfully completed drug treatment (without representation within 6 months)QuarterlyFinancial Year2018/20194.705.525.294.704.70Up is Good PHOF76% of opiate users in treatment who successfully completed drug treatment (without representation within 6 months)QuarterlyFinancial Year2019/20204.574.555.16Up is Good PHOF77% of non-opiate users in treatment who successfully completed drug treatment (without representation within 6 months)QuarterlyFinancial Year2010/201137.50Up is Good PHOF77% of non-opiate users in treatment who successfully completed drug treatment (without representation within 6 months)QuarterlyFinancial Year2011/201239.23Up is Good PHOF77% of non-opiate users in treatment who successfully completed drug treatment (without representation within 6 months)QuarterlyFinancial Year2012/201330.89Up is Good PHOF77% of non-opiate users in treatment who successfully completed drug treatment (without representation within 6 months)QuarterlyFinancial Year2013/201434.6030.9031.1030.5034.60Up is Good PHOF77% of non-opiate users in treatment who successfully completed drug treatment (without representation within 6 months)QuarterlyFinancial Year2014/201540.1036.5035.6038.8040.10Up is Good PHOF77% of non-opiate users in treatment who successfully completed drug treatment (without representation within 6 months)QuarterlyFinancial Year2015/201631.1038.0034.8033.3031.10Up is Good PHOF77% of non-opiate users in treatment who successfully completed drug treatment (without representation within 6 months)QuarterlyFinancial Year2016/201738.0832.5137.9337.8938.08Up is Good PHOF77% of non-opiate users in treatment who successfully completed drug treatment (without representation within 6 months)QuarterlyFinancial Year2017/201832.1136.9333.9129.9632.11Up is Good PHOF77% of non-opiate users in treatment who successfully completed drug treatment (without representation within 6 months)QuarterlyFinancial Year2018/201929.2030.3326.6131.5029.20Up is Good PHOF77% of non-opiate users in treatment who successfully completed drug treatment (without representation within 6 months)QuarterlyFinancial Year2019/202028.7132.4931.84Up is Good PHOF79HIV late diagnosisAnnualFinancial Year2011/201237.90Up is Bad PHOF79HIV late diagnosisAnnualFinancial Year2012/201337.50Up is Bad PHOF79HIV late diagnosisAnnualFinancial Year2013/201440.00Up is Bad PHOF79HIV late diagnosisAnnualFinancial Year2014/201538.10Up is Bad PHOF79HIV late diagnosisAnnualFinancial Year2015/201657.90Up is Bad PHOF79HIV late diagnosisAnnualFinancial Year2016/201745.00Up is Bad PHOF79HIV late diagnosisAnnualFinancial Year2017/201860.90Up is Bad PHOF79HIV late diagnosisAnnualFinancial Year2018/201960.00Up is Bad PHOF91% of eligible population aged 40-74 offered an NHS Health CheckQuarterlyFinancial Year2013/201420.903.306.305.405.90Up is Good PHOF91% of eligible population aged 40-74 offered an NHS Health CheckQuarterlyFinancial Year2014/201519.604.104.105.106.30Up is Good PHOF91% of eligible population aged 40-74 offered an NHS Health CheckQuarterlyFinancial Year2015/201628.205.908.606.407.30Up is Good PHOF91% of eligible population aged 40-74 offered an NHS Health CheckQuarterlyFinancial Year2016/20170.800.200.300.100.20Up is Good PHOF91% of eligible population aged 40-74 offered an NHS Health CheckQuarterlyFinancial Year2017/20180.500.200.100.100.10Up is Good PHOF91% of eligible population aged 40-74 offered an NHS Health CheckQuarterlyFinancial Year2018/201925.309.203.606.306.20Up is Good PHOF91% of eligible population aged 40-74 offered an NHS Health CheckQuarterlyFinancial Year2019/20203.702.704.67Up is Good PHOF92% of eligible population aged 40-74 offered an NHS Health Check who received an NHS Health CheckQuarterlyFinancial Year2013/201441.5046.9045.1040.2035.80Up is Good PHOF92% of eligible population aged 40-74 offered an NHS Health Check who received an NHS Health CheckQuarterlyFinancial Year2014/201537.3042.7041.1038.4030.40Up is Good PHOF92% of eligible population aged 40-74 offered an NHS Health Check who received an NHS Health CheckQuarterlyFinancial Year2015/201634.9039.1034.7030.5035.40Up is Good PHOF92% of eligible population aged 40-74 offered an NHS Health Check who received an NHS Health CheckQuarterlyFinancial Year2016/201721.405.900.00100.0041.90Up is Good PHOF92% of eligible population aged 40-74 offered an NHS Health Check who received an NHS Health CheckQuarterlyFinancial Year2017/2018100.00100.00100.00100.00100.00Up is Good PHOF92% of eligible population aged 40-74 offered an NHS Health Check who received an NHS Health CheckQuarterlyFinancial Year2018/20199.201.6015.7011.7014.10Up is Good PHOF92% of eligible population aged 40-74 offered an NHS Health Check who received an NHS Health CheckQuarterlyFinancial Year2019/202019.3021.0014.80Up is Good PHYS05Adults (aged 16+) who have taken part in sport and physical activity at least twice in the last 28 daysAnnualFinancial Year2016/201784.8082.7084.80Up is Good PHYS05Adults (aged 16+) who have taken part in sport and physical activity at least twice in the last 28 daysAnnualFinancial Year2017/201884.0185.20Up is Good PHYS05Adults (aged 16+) who have taken part in sport and physical activity at least twice in the last 28 daysAnnualFinancial Year2018/201984.00Up is Good PHYS06% of adults (aged 16+) that are physically active (150+ moderate intensity equivalent minutes per week, excl. gardening)AnnualFinancial Year2016/201771.0167.1571.01Up is Good PHYS06% of adults (aged 16+) that are physically active (150+ moderate intensity equivalent minutes per week, excl. gardening)AnnualFinancial Year2017/201870.2070.23Up is Good PHYS06% of adults (aged 16+) that are physically active (150+ moderate intensity equivalent minutes per week, excl. gardening)AnnualFinancial Year2018/201974.9073.10Up is Good PHYS06% of adults (aged 16+) that are physically active (150+ moderate intensity equivalent minutes per week, excl. gardening)AnnualFinancial Year2019/202072.77Up is Good POPPI01Total population aged 65 and over predicted to have dementiaAnnualFinancial Year2013/20142623.00Up is Bad POPPI01Total population aged 65 and over predicted to have dementiaAnnualFinancial Year2014/20152680.00Up is Bad POPPI01Total population aged 65 and over predicted to have dementiaAnnualFinancial Year2015/20162717.00Up is Bad POPPI01Total population aged 65 and over predicted to have dementiaAnnualFinancial Year2016/20172788.00Up is Bad POPPI01Total population aged 65 and over predicted to have dementiaAnnualFinancial Year2017/20182788.00Up is Bad POPPI01Total population aged 65 and over predicted to have dementiaAnnualFinancial Year2018/20192779.00Up is Bad POPPI01Total population aged 65 and over predicted to have dementiaAnnualFinancial Year2019/20202834.00Up is Bad PP06% of food premises that are classified as broadly compliant - (YTD)QuarterlyFinancial Year2011/201296.00Up is Good PP06% of food premises that are classified as broadly compliant - (YTD)QuarterlyFinancial Year2012/201395.00Up is Good PP06% of food premises that are classified as broadly compliant - (YTD)QuarterlyFinancial Year2013/201493.00Up is Good PP06% of food premises that are classified as broadly compliant - (YTD)QuarterlyFinancial Year2014/201593.00Up is Good PP06% of food premises that are classified as broadly compliant - (YTD)QuarterlyFinancial Year2015/201694.0094.0094.0094.0094.00Up is Good PP06% of food premises that are classified as broadly compliant - (YTD)QuarterlyFinancial Year2016/201794.2594.0094.0094.0095.00Up is Good PP06% of food premises that are classified as broadly compliant - (YTD)QuarterlyFinancial Year2017/201893.8092.7091.2094.9094.20Up is Good PP06% of food premises that are classified as broadly compliant - (YTD)QuarterlyFinancial Year2018/201993.0096.0094.0094.0089.00Up is Good PP06% of food premises that are classified as broadly compliant - (YTD)QuarterlyFinancial Year2019/202095.0098.0096.0095.0095.00Up is Good PP07% of businesses that were compliant with legislation concerning the illegal use and sale of alcohol and tobaccoAnnualFinancial Year2011/201291.00Up is Good PP07% of businesses that were compliant with legislation concerning the illegal use and sale of alcohol and tobaccoAnnualFinancial Year2012/201398.00Up is Good PP07% of businesses that were compliant with legislation concerning the illegal use and sale of alcohol and tobaccoAnnualFinancial Year2013/201475.00Up is Good PP07% of businesses that were compliant with legislation concerning the illegal use and sale of alcohol and tobaccoAnnualFinancial Year2014/2015100.00Up is Good PP07% of businesses that were compliant with legislation concerning the illegal use and sale of alcohol and tobaccoAnnualFinancial Year2015/201663.20Up is Good PP08% of births registered within 42 daysMonthlyFinancial Year2011/201298.00Up is Good PP08% of births registered within 42 daysMonthlyFinancial Year2012/201399.00Up is Good PP08% of births registered within 42 daysMonthlyFinancial Year2013/201499.0098.0099.0099.0099.0099.0099.0098.0099.0099.0098.0099.0099.0097.0098.0097.0098.00Up is Good PP08% of births registered within 42 daysMonthlyFinancial Year2014/201598.0097.0097.0099.0098.0098.0099.0098.0098.0099.0098.0097.0098.0098.0099.00100.0099.00Up is Good PP08% of births registered within 42 daysMonthlyFinancial Year2015/201698.0098.0099.0099.0098.00Up is Good PP08% of births registered within 42 daysMonthlyFinancial Year2016/201798.0097.0094.0097.0096.0099.0098.0096.0098.0098.0099.0099.0098.0098.0098.0099.0098.00Up is Good PP08% of births registered within 42 daysMonthlyFinancial Year2018/201998.0093.0097.0097.0096.0098.0098.0099.0097.0099.0098.00100.0099.0099.00100.0097.0099.00Up is Good PP08% of births registered within 42 daysMonthlyFinancial Year2019/202099.00100.0099.00100.00100.00100.0098.00100.0099.00100.0099.0098.0099.0098.0098.0099.0098.00Up is Good PP09% of still births registered within 42 daysMonthlyFinancial Year2011/2012100.00Up is Good PP09% of still births registered within 42 daysMonthlyFinancial Year2012/201399.00Up is Good PP09% of still births registered within 42 daysMonthlyFinancial Year2013/2014100.00100.00100.00100.00100.00100.00100.00100.00100.00100.00100.00100.00100.00100.00100.00100.00100.00Up is Good PP09% of still births registered within 42 daysMonthlyFinancial Year2014/2015100.00100.00100.00100.00100.00100.00100.00100.00100.00100.00100.00100.00100.00100.00100.00100.00100.00Up is Good PP09% of still births registered within 42 daysMonthlyFinancial Year2015/2016100.00100.00100.00100.00100.00Up is Good PP09% of still births registered within 42 daysMonthlyFinancial Year2016/2017100.00100.00100.00N/A100.00100.00N/A100.00100.00N/AN/AN/AN/A100.00N/AN/A100.00Up is Good PP09% of still births registered within 42 daysMonthlyFinancial Year2018/2019100.00100.00100.00100.00100.00100.00100.00100.00100.00100.00100.00100.00100.00100.00100.00100.00100.00Up is Good PP09% of still births registered within 42 daysMonthlyFinancial Year2019/2020100.00100.00100.00100.00100.00100.00100.00100.00100.00100.00100.00100.00100.00100.00100.00100.00100.00Up is Good PP10% of deaths registered within 5 daysMonthlyFinancial Year2011/2012100.00Up is Good PP10% of deaths registered within 5 daysMonthlyFinancial Year2012/201397.00Up is Good PP10% of deaths registered within 5 daysMonthlyFinancial Year2013/201493.0092.0092.0098.0095.0097.0095.0092.0095.0096.0096.0088.0095.0083.0094.0097.0093.00Up is Good PP10% of deaths registered within 5 daysMonthlyFinancial Year2014/201593.0089.0093.0096.0093.0096.0094.0095.0094.0096.0096.0085.0092.0092.0093.0093.0093.00Up is Good PP10% of deaths registered within 5 daysMonthlyFinancial Year2015/201690.0091.0092.0093.0083.00Up is Good PP10% of deaths registered within 5 daysMonthlyFinancial Year2016/201785.0067.0082.0080.0076.0099.0089.0091.0093.0091.0085.0079.0085.0066.0090.0092.0083.00Up is Good PP10% of deaths registered within 5 daysMonthlyFinancial Year2018/201986.0073.0080.0072.0075.0081.0087.0079.0082.0088.0097.0090.0092.0090.0096.0094.0093.00Up is Good PP10% of deaths registered within 5 daysMonthlyFinancial Year2019/202089.0087.0087.0094.0089.0092.0089.0091.0091.0089.0090.0085.0088.0090.0090.0091.0090.00Up is Good PVP01People supported through personal budgets or direct payments receiving community-based services (%) (ADASS Survey definition)MonthlyFinancial Year2013/201484.13Up is Good PVP01People supported through personal budgets or direct payments receiving community-based services (%) (ADASS Survey definition)MonthlyFinancial Year2014/201591.2987.5387.9287.9291.1491.1488.0989.3388.5788.5789.2190.2591.2991.29Up is Good PVP01People supported through personal budgets or direct payments receiving community-based services (%) (ADASS Survey definition)MonthlyFinancial Year2015/201693.8892.2092.5092.8192.5093.1293.3293.5693.3394.2894.2094.4994.3295.0795.3195.6695.35Up is Good PVP01People supported through personal budgets or direct payments receiving community-based services (%) (ADASS Survey definition)MonthlyFinancial Year2016/2017NC91.3388.8691.8990.6988.3389.7286.9988.3589.68NCNCNCNCNCNCNCUp is Good PVP02Number of permanent admissions to residential & nursing care homes for older people (65+)MonthlyFinancial Year2014/2015241.0031.0020.0019.0070.0022.0016.0020.0058.0021.0020.0019.0060.0030.0016.007.0053.00Up is Bad PVP02Number of permanent admissions to residential & nursing care homes for older people (65+)MonthlyFinancial Year2015/2016260.0028.0018.0028.0074.0019.0021.0030.0070.0013.0016.0025.0054.0023.0019.0020.0062.00Up is Bad PVP02Number of permanent admissions to residential & nursing care homes for older people (65+)MonthlyFinancial Year2016/2017248.0034.0021.0015.0070.0023.0018.0027.0068.0013.0018.0022.0053.0020.0022.0015.0057.00Up is Bad PVP02Number of permanent admissions to residential & nursing care homes for older people (65+)MonthlyFinancial Year2017/2018246.0017.0019.0025.0061.0020.0027.0023.0070.0017.0020.0037.0074.0015.0018.008.0041.00Up is Bad PVP02Number of permanent admissions to residential & nursing care homes for older people (65+)MonthlyFinancial Year2018/2019252.0035.0035.0020.0090.0024.0019.0017.0060.0025.0019.0019.0063.0021.008.0010.0039.00Up is Bad PVP02Number of permanent admissions to residential & nursing care homes for older people (65+)MonthlyFinancial Year2019/2020201.0022.0027.0019.0068.0030.0021.0011.0062.0012.0015.0013.0040.0012.0013.006.0031.00Up is Bad PVP04Total number of Acute delayed discharges (YDH only)MonthlyFinancial Year2014/2015120.004.008.0013.0025.001.0012.0014.0027.0011.0019.0012.0042.0010.005.0011.0026.00Up is Bad PVP04Total number of Acute delayed discharges (YDH only)MonthlyFinancial Year2015/2016189.006.0015.0016.0037.0015.0017.0021.0053.006.0020.0018.0044.0025.0012.0018.0055.00Up is Bad PVP04Total number of Acute delayed discharges (YDH only)MonthlyFinancial Year2016/2017124.0016.0015.007.0038.005.008.0010.0023.0010.0013.007.0030.0011.008.0014.0033.00Up is Bad PVP04Total number of Acute delayed discharges (YDH only)MonthlyFinancial Year2017/20186.007.009.0022.003.0016.007.0026.00Up is Bad PVP05Total number of reimbursable CYC delays (attributable to CYC) (YDH Only)MonthlyFinancial Year2014/2015115.006.004.0012.0022.0013.0011.0011.0035.0015.0016.0013.0044.008.002.004.0014.00Up is Bad PVP05Total number of reimbursable CYC delays (attributable to CYC) (YDH Only)MonthlyFinancial Year2015/2016137.003.009.0011.0023.0012.009.0014.0035.0011.0013.0010.0034.0024.008.0013.0045.00Up is Bad PVP05Total number of reimbursable CYC delays (attributable to CYC) (YDH Only)MonthlyFinancial Year2016/201789.0015.0012.0011.0038.006.003.008.0017.005.007.007.0019.004.003.008.0015.00Up is Bad PVP05Total number of reimbursable CYC delays (attributable to CYC) (YDH Only)MonthlyFinancial Year2017/20186.002.008.0016.001.0015.006.0022.00Up is Bad PVP06Reablement - assessments to be completed within 6 weeks of referralMonthlyFinancial Year2014/201526.8454.5539.2920.0037.9563.6453.3358.4929.4126.6746.1534.0816.6710.0053.8526.84Up is Good PVP06Reablement - assessments to be completed within 6 weeks of referralMonthlyFinancial Year2015/201621.6327.2730.7733.3330.4618.1833.3325.0025.5025.005.8812.5014.4615.0033.330.0016.11Up is Good PVP06Reablement - assessments to be completed within 6 weeks of referralMonthlyFinancial Year2016/2017NC16.670.0012.509.720.0037.5010.0016.0033.33NCNCNCNCNCNCNCUp is Good PVP07OT/OTA assessments - to be completed within 28 daysMonthlyFinancial Year2014/201595.8798.2897.6297.4497.7897.6499.7698.7098.5398.4696.6797.8993.7596.4897.3795.87Up is Good PVP07OT/OTA assessments - to be completed within 28 daysMonthlyFinancial Year2015/201696.9797.1298.1195.8097.0197.9095.9097.1296.9797.6496.9296.1096.8997.4897.2296.3297.01Up is Good PVP07OT/OTA assessments - to be completed within 28 daysMonthlyFinancial Year2016/2017NC97.8497.0690.5795.1595.6291.7294.7894.0492.86NCNCNCNCNCNCNCUp is Good PVP08People supported to live independently through social services PACKAGES OF CARE - (Snapshot)MonthlyFinancial Year2012/20131784.00Neutral PVP08People supported to live independently through social services PACKAGES OF CARE - (Snapshot)MonthlyFinancial Year2013/20141753.00Neutral PVP08People supported to live independently through social services PACKAGES OF CARE - (Snapshot)MonthlyFinancial Year2014/20151487.001810.001830.001830.001806.001806.001335.001448.001501.001501.001508.001027.001487.001487.00Neutral PVP08People supported to live independently through social services PACKAGES OF CARE - (Snapshot)MonthlyFinancial Year2015/20161762.001764.001783.001776.001774.001756.001753.001765.001758.001736.001741.001754.001744.001751.001797.001769.001772.00Neutral PVP08People supported to live independently through social services PACKAGES OF CARE - (Snapshot)MonthlyFinancial Year2016/20171882.001945.001879.001884.001902.001900.001924.001899.001907.001881.001896.001867.001881.001850.001840.001823.001837.00Neutral PVP08People supported to live independently through social services PACKAGES OF CARE - (Snapshot)MonthlyFinancial Year2017/20181881.001737.001713.001717.001856.001712.001698.001719.001856.001688.001667.001629.001860.001639.001626.001577.001881.00Neutral PVP08People supported to live independently through social services PACKAGES OF CARE - (Snapshot)MonthlyFinancial Year2018/20191733.001887.001884.001882.001870.001881.001869.001854.001853.001840.001737.001698.001734.001699.001661.001635.001733.00Neutral PVP08People supported to live independently through social services PACKAGES OF CARE - (Snapshot)MonthlyFinancial Year2019/20201606.001737.001713.001717.001719.001712.001698.001719.001725.001688.001667.001629.001647.001639.001626.001577.001606.00Neutral PVP09People supported to live independently through social services PREVENTION - (Snapshot)MonthlyFinancial Year2012/20132822.00Neutral PVP09People supported to live independently through social services PREVENTION - (Snapshot)MonthlyFinancial Year2013/20142570.00Neutral PVP09People supported to live independently through social services PREVENTION - (Snapshot)MonthlyFinancial Year2014/20152643.002550.002520.002520.002582.002582.002708.002688.002668.002668.002690.003135.002643.002643.00Neutral PVP09People supported to live independently through social services PREVENTION - (Snapshot)MonthlyFinancial Year2015/20162435.002444.002422.002437.002434.002428.002423.002415.002422.002433.002427.002430.002430.002451.002439.002471.002454.00Neutral PVP09People supported to live independently through social services PREVENTION - (Snapshot)MonthlyFinancial Year2016/2017931.00948.00958.00898.00935.00903.00906.00934.00914.00916.00922.00917.00918.00921.00987.00967.00958.00Neutral PVP09People supported to live independently through social services PREVENTION - (Snapshot)MonthlyFinancial Year2017/2018857.00929.00922.00926.00904.00932.00962.00955.00917.00961.00945.00956.00892.00949.00951.00959.00857.00Neutral PVP09People supported to live independently through social services PREVENTION - (Snapshot)MonthlyFinancial Year2018/2019917.00912.00930.00924.00847.00933.00936.00920.00831.00935.001003.001020.00907.001022.001047.001042.00917.00Neutral PVP09People supported to live independently through social services PREVENTION - (Snapshot)MonthlyFinancial Year2019/2020958.00929.00922.00926.00927.00932.00962.00955.00955.00961.00945.00956.00955.00949.00951.00959.00958.00Neutral PVP13Successful quitters at 4 weeks per 100,000 smokersAnnualFinancial Year2013/20141712.73Up is Good PVP13Successful quitters at 4 weeks per 100,000 smokersAnnualFinancial Year2014/20151344.96Up is Good PVP13Successful quitters at 4 weeks per 100,000 smokersAnnualFinancial Year2015/20161434.68Up is Good PVP13Successful quitters at 4 weeks per 100,000 smokersAnnualFinancial Year2016/2017NCUp is Good PVP13Successful quitters at 4 weeks per 100,000 smokersAnnualFinancial Year2017/2018NCUp is Good PVP19Number of permanent admissions to residential & nursing care homes for younger people (18-64)MonthlyFinancial Year2014/201514.00Up is Bad PVP19Number of permanent admissions to residential & nursing care homes for younger people (18-64)MonthlyFinancial Year2015/201622.004.006.004.008.00Up is Bad PVP19Number of permanent admissions to residential & nursing care homes for younger people (18-64)MonthlyFinancial Year2016/201716.001.001.002.004.001.000.001.002.002.001.003.006.001.003.000.004.00Up is Bad PVP19Number of permanent admissions to residential & nursing care homes for younger people (18-64)MonthlyFinancial Year2017/201822.002.003.001.006.002.001.001.004.002.004.002.008.001.002.001.004.00Up is Bad PVP19Number of permanent admissions to residential & nursing care homes for younger people (18-64)MonthlyFinancial Year2018/201921.005.002.002.009.001.000.002.003.003.002.002.007.002.000.000.002.00Up is Bad PVP19Number of permanent admissions to residential & nursing care homes for younger people (18-64)MonthlyFinancial Year2019/202026.004.002.004.0010.002.003.002.007.001.002.000.003.002.004.000.006.00Up is Bad PVP26Delayed Transfers of Care: Total number of Acute delayed bed days (YDH only)MonthlyFinancial Year2014/20154472.00263.00241.00366.00870.00138.00438.00489.001065.00571.00550.00525.001646.00417.00264.00210.00891.00Up is Bad PVP26Delayed Transfers of Care: Total number of Acute delayed bed days (YDH only)MonthlyFinancial Year2015/20166200.00357.00525.00434.001316.00470.00506.00495.001471.00522.00479.00535.001536.00737.00468.00672.001877.00Up is Bad PVP26Delayed Transfers of Care: Total number of Acute delayed bed days (YDH only)MonthlyFinancial Year2016/20173516.00479.00350.00243.001072.00224.00194.00304.00722.00239.00331.00293.00863.00231.00264.00364.00859.00Up is Bad PVP26Delayed Transfers of Care: Total number of Acute delayed bed days (YDH only)MonthlyFinancial Year2017/20183830.00267.00257.00265.00789.00239.00379.00384.001002.00352.00425.00397.001174.00227.00287.00351.00865.00Up is Bad PVP26Delayed Transfers of Care: Total number of Acute delayed bed days (YDH only)MonthlyFinancial Year2018/20196286.00558.00467.00480.001505.00335.00636.00487.001458.00545.00491.00628.001664.00550.00535.00574.001659.00Up is Bad PVP26Delayed Transfers of Care: Total number of Acute delayed bed days (YDH only)MonthlyFinancial Year2019/2020727.00740.00634.002101.00657.00520.00566.001743.00482.00368.00463.001313.00535.00375.00Up is Bad PVP27Delayed Transfers of Care: Total number of Non-acute delayed bed days (YDH only)MonthlyFinancial Year2014/20152861.00176.00311.00304.00791.00378.00315.00274.00967.00425.00190.00147.00762.00215.00103.0023.00341.00Up is Bad PVP27Delayed Transfers of Care: Total number of Non-acute delayed bed days (YDH only)MonthlyFinancial Year2015/20162022.0043.00128.00119.00290.00149.00121.00111.00381.00210.00298.00292.00800.00154.00193.00204.00551.00Up is Bad PVP27Delayed Transfers of Care: Total number of Non-acute delayed bed days (YDH only)MonthlyFinancial Year2016/20172860.00270.00253.00324.00784.00200.00205.00270.00675.00272.00235.00297.00804.00151.00149.00237.00537.00Up is Bad PVP27Delayed Transfers of Care: Total number of Non-acute delayed bed days (YDH only)MonthlyFinancial Year2017/20182004.00186.00167.00110.00463.00139.00112.00224.00475.00198.00189.00234.00621.00198.00148.0099.00445.00Up is Bad PVP27Delayed Transfers of Care: Total number of Non-acute delayed bed days (YDH only)MonthlyFinancial Year2018/20191826.00199.00177.00199.00575.0085.0092.00211.00388.00178.00177.00119.00474.00159.00129.00101.00389.00Up is Bad PVP27Delayed Transfers of Care: Total number of Non-acute delayed bed days (YDH only)MonthlyFinancial Year2019/2020160.00147.00198.00505.0093.0084.00117.00294.0055.0019.0087.00161.00172.00121.00Up is Bad PVP28Delayed Transfers of Care: Total number of Non-acute delayed bed days (TEWV only)MonthlyFinancial Year2016/20173822.0029.0067.00407.00503.00548.00536.00405.001489.00452.00515.00374.001341.00196.00106.00187.00489.00Up is Bad PVP28Delayed Transfers of Care: Total number of Non-acute delayed bed days (TEWV only)MonthlyFinancial Year2017/20182156.00295.00211.00116.00622.0091.00113.00131.00335.0073.0060.00247.00380.00310.00280.00229.00819.00Up is Bad PVP28Delayed Transfers of Care: Total number of Non-acute delayed bed days (TEWV only)MonthlyFinancial Year2018/20192708.00233.00274.00326.00833.00195.00243.00261.00699.00290.00188.00170.00648.00171.00130.00227.00528.00Up is Bad PVP28Delayed Transfers of Care: Total number of Non-acute delayed bed days (TEWV only)MonthlyFinancial Year2019/2020212.00186.00119.00517.002.0073.00138.00213.00183.00173.00121.00477.00124.00193.00Up is Bad STF100bAverage Sickness Days per FTE - (Rolling 12 Month)MonthlyFinancial Year2012/20136.50Up is Bad STF100bAverage Sickness Days per FTE - (Rolling 12 Month)MonthlyFinancial Year2013/20146.50Up is Bad STF100bAverage Sickness Days per FTE - (Rolling 12 Month)MonthlyFinancial Year2014/20157.80Up is Bad STF100bAverage Sickness Days per FTE - (Rolling 12 Month)MonthlyFinancial Year2015/20165.706.406.306.306.306.206.106.006.005.705.605.505.505.405.505.705.70Up is Bad STF100bAverage Sickness Days per FTE - (Rolling 12 Month)MonthlyFinancial Year2016/20177.306.206.506.606.606.706.907.107.107.207.407.407.607.607.507.307.30Up is Bad STF100bAverage Sickness Days per FTE - (Rolling 12 Month)MonthlyFinancial Year2017/20187.107.006.906.806.806.806.807.007.007.006.606.906.907.107.107.107.10Up is Bad STF100bAverage Sickness Days per FTE - (Rolling 12 Month)MonthlyFinancial Year2018/20197.727.307.207.007.006.907.107.307.307.407.607.507.507.507.677.727.72Up is Bad STF100bAverage Sickness Days per FTE - (Rolling 12 Month)MonthlyFinancial Year2019/20207.017.937.897.847.847.877.847.757.757.757.647.627.627.367.067.017.01Up is Bad TAP09a% of panel confident they could find information on support available to help people live independentlyQuarterlyFinancial Year2012/2013NCUp is Good TAP09a% of panel confident they could find information on support available to help people live independentlyQuarterlyFinancial Year2013/2014NCUp is Good TAP09a% of panel confident they could find information on support available to help people live independentlyQuarterlyFinancial Year2014/2015NCUp is Good TAP09a% of panel confident they could find information on support available to help people live independentlyQuarterlyFinancial Year2015/2016NCUp is Good TAP09a% of panel confident they could find information on support available to help people live independentlyQuarterlyFinancial Year2016/201765.4664.00NC65.46NCUp is Good TAP09a% of panel confident they could find information on support available to help people live independentlyQuarterlyFinancial Year2017/201864.8170.51NC64.81NCUp is Good TAP09a% of panel confident they could find information on support available to help people live independentlyQuarterlyFinancial Year2018/201972.5266.11NC72.52NCUp is Good TAP09a% of panel confident they could find information on support available to help people live independentlyQuarterlyFinancial Year2019/202074.7471.52NC74.74NCUp is Good TAP09b% of panel not confident they could find information on support available to help people live independentlyQuarterlyFinancial Year2012/2013NCUp is Bad TAP09b% of panel not confident they could find information on support available to help people live independentlyQuarterlyFinancial Year2013/2014NCUp is Bad TAP09b% of panel not confident they could find information on support available to help people live independentlyQuarterlyFinancial Year2014/2015NCUp is Bad TAP09b% of panel not confident they could find information on support available to help people live independentlyQuarterlyFinancial Year2015/2016NCUp is Bad TAP09b% of panel not confident they could find information on support available to help people live independentlyQuarterlyFinancial Year2016/201726.1027.30NC26.10NCUp is Bad TAP09b% of panel not confident they could find information on support available to help people live independentlyQuarterlyFinancial Year2017/201827.2523.06NC27.25NCUp is Bad TAP09b% of panel not confident they could find information on support available to help people live independentlyQuarterlyFinancial Year2018/201919.4025.89NC19.40NCUp is Bad TAP09b% of panel not confident they could find information on support available to help people live independentlyQuarterlyFinancial Year2019/202017.1121.41NC17.11NCUp is Bad YCC001YFAS Emergency payments (£) TOTAL - (YTD)WeeklyFinancial Year2014/2015117399.009249.0022214.0030927.0030927.0042200.0059578.0075091.0075091.0084624.0094193.0099742.0099742.00104929.00112241.00117399.00117399.00Neutral YCC001YFAS Emergency payments (£) TOTAL - (YTD)WeeklyFinancial Year2015/201641612.00281.001469.002739.002739.005740.0011061.0015330.0015330.0020274.0024597.0028046.0028046.0033717.0036254.0041612.0041612.00Neutral YCC001YFAS Emergency payments (£) TOTAL - (YTD)WeeklyFinancial Year2016/201731188.002215.004878.007662.007662.009581.0015494.0018670.0018670.0022108.0024550.0026445.0026445.0028009.0028845.0031188.0031188.00Neutral YCC001YFAS Emergency payments (£) TOTAL - (YTD)WeeklyFinancial Year2017/201812533.00998.002488.003849.003849.004607.006106.007251.007251.008513.008895.009575.009575.0010510.0011356.0012633.0012533.00Neutral YCC001YFAS Emergency payments (£) TOTAL - (YTD)WeeklyFinancial Year2018/201914036.00535.00695.001285.001285.002255.003580.004745.004745.006250.007270.007950.007950.0011386.0013319.0014036.0014036.00Neutral YCC001YFAS Emergency payments (£) TOTAL - (YTD)WeeklyFinancial Year2019/202014581.001195.002520.003081.003081.005139.006277.007017.007017.007645.008797.0010428.0010428.0011193.0012466.0014581.0014581.00Neutral YCC002YFAS Emergency payments Budget (£)WeeklyFinancial Year2014/2015154000.00154000.00154000.00154000.00154000.00154000.00154000.00154000.00154000.00154000.00154000.00154000.00154000.00154000.00154000.00154000.00154000.00Neutral YCC002YFAS Emergency payments Budget (£)WeeklyFinancial Year2015/2016162160.00117570.00117570.00117570.00117570.00117570.00117570.00117570.00117570.00117570.00117570.00218160.00218160.00162160.00162160.00162160.00162160.00Neutral YCC002YFAS Emergency payments Budget (£)WeeklyFinancial Year2016/2017106160.00162160.00143751.00143751.00143751.00143751.00143751.00106160.00106160.00106160.00106160.00106160.00106160.00106160.00106160.00106160.00106160.00Neutral YCC002YFAS Emergency payments Budget (£)WeeklyFinancial Year2017/201814000.0032190.0014000.0014000.0014000.0014000.0014000.0014000.0014000.0014000.0014000.0014000.0014000.0014000.0014000.0014000.0014000.00Neutral YCC002YFAS Emergency payments Budget (£)WeeklyFinancial Year2018/201914000.0014000.0014000.0014000.0014000.0014000.0014000.0014000.0014000.0014000.0014000.0014000.0014000.0014000.0014000.0014000.0014000.00Neutral YCC002YFAS Emergency payments Budget (£)WeeklyFinancial Year2019/202014000.0014000.0014000.0014000.0014000.0014000.0014000.0014000.0014000.0014000.0014000.0014000.0014000.0014000.0014000.0014000.0014000.00Neutral YCC004YFAS Community payments (£) TOTAL - (YTD)WeeklyFinancial Year2014/2015185635.0022838.0049663.0067738.0067738.0088554.00102823.00121670.00121670.00113647.00144486.00155684.00155684.00160620.00173757.00185635.00185635.00Neutral YCC004YFAS Community payments (£) TOTAL - (YTD)WeeklyFinancial Year2015/2016158414.00858.0011908.0023654.0023654.0034279.0046253.0063681.0063681.0083477.00102686.00115041.00115041.00134132.00147726.00158414.00158414.00Neutral YCC004YFAS Community payments (£) TOTAL - (YTD)WeeklyFinancial Year2016/2017170929.0018330.0028630.0041330.0041330.0053539.0073726.0089761.0089761.00102157.00114703.00123092.00123092.00141253.00150071.00170929.00170929.00Neutral YCC004YFAS Community payments (£) TOTAL - (YTD)WeeklyFinancial Year2017/2018148987.0010774.0021236.0041341.0041341.0053721.0058479.0076647.0076647.0086541.00103492.00112396.00112396.00123488.00139862.00148987.00148987.00Neutral YCC004YFAS Community payments (£) TOTAL - (YTD)WeeklyFinancial Year2018/2019191164.0015112.0028351.0041818.0041818.0054503.0065796.0090667.0090667.00108156.00125793.00144187.00144187.00147926.00175207.00191164.00191164.00Neutral YCC004YFAS Community payments (£) TOTAL - (YTD)WeeklyFinancial Year2019/2020172883.0011196.0025317.0038843.0038843.0066558.0074054.0081879.0081879.00101300.00119484.00132407.00132407.00146488.00162973.00172883.00172883.00Neutral YCC005YFAS Community payments (£) BudgetWeeklyFinancial Year2014/2015261140.00261140.00261140.00261140.00261140.00261140.00261140.00261140.00261140.00261140.00261140.00261140.00261140.00261140.00261140.00261140.00261140.00Neutral YCC005YFAS Community payments (£) BudgetWeeklyFinancial Year2015/2016412690.00297570.00297570.00297570.00297570.00297570.00297570.00297570.00297570.00297570.00297570.00556690.00556690.00412690.00412690.00412690.00412690.00Neutral YCC005YFAS Community payments (£) BudgetWeeklyFinancial Year2016/2017263140.00412690.00365839.00365839.00365839.00365839.00365839.00263140.00263140.00263140.00263140.00263140.00263140.00263140.00263140.00263140.00263140.00Neutral YCC005YFAS Community payments (£) BudgetWeeklyFinancial Year2017/2018135590.0077400.00135590.00135590.00135590.00135590.00135590.00135590.00135590.00135590.00135590.00135590.00135590.00135590.00135590.00135590.00135590.00Neutral YCC005YFAS Community payments (£) BudgetWeeklyFinancial Year2018/2019135590.00135590.00135590.00135590.00135590.00135590.00135590.00135590.00135590.00135590.00135590.00135590.00135590.00135590.00135590.00135590.00135590.00Neutral YCC005YFAS Community payments (£) BudgetWeeklyFinancial Year2019/2020135590.00135590.00135590.00135590.00135590.00135590.00135590.00135590.00135590.00135590.00135590.00135590.00135590.00135590.00135590.00135590.00135590.00Neutral YCC007YFAS CTS Discretionary (£) TOTAL - (YTD)WeeklyFinancial Year2014/201539875.003083.004895.008058.008058.0015929.0021569.0023984.0023984.0028500.0027035.0028513.0028513.0031230.0033687.0039875.0039875.00Neutral YCC007YFAS CTS Discretionary (£) TOTAL - (YTD)WeeklyFinancial Year2015/201626745.001137.002815.006991.006991.0010171.008961.0011916.0011916.0014538.0016821.0018197.0018197.0023123.0023902.0026745.0026745.00Neutral YCC007YFAS CTS Discretionary (£) TOTAL - (YTD)WeeklyFinancial Year2016/201723957.006893.0011508.0012084.0012084.0012693.0012976.0015735.0015735.0016981.0017711.0019649.0019649.0021625.0022989.0023957.0023957.00Neutral YCC007YFAS CTS Discretionary (£) TOTAL - (YTD)WeeklyFinancial Year2017/201818557.008077.009750.0011044.0011044.0011524.0013300.0014659.0014659.0015383.0016047.0016342.0016342.0017597.0017996.0018557.0018557.00Neutral YCC007YFAS CTS Discretionary (£) TOTAL - (YTD)WeeklyFinancial Year2018/201918832.0010199.0011239.0012424.0012424.0014350.0014098.0015790.0015790.0016668.0017844.0018132.0018132.0017796.0017796.0018832.0018832.00Neutral YCC007YFAS CTS Discretionary (£) TOTAL - (YTD)WeeklyFinancial Year2019/20208985.005456.006320.006426.006426.007529.007404.007435.007435.008157.008543.008607.008607.009094.009019.008985.008985.00Neutral YCC008YFAS CTS Discretionary (£) BudgetWeeklyFinancial Year2014/2015100000.00100000.00100000.00100000.00100000.00100000.00100000.00100000.00100000.00100000.00100000.00100000.00100000.00100000.00100000.00100000.00100000.00Neutral YCC008YFAS CTS Discretionary (£) BudgetWeeklyFinancial Year2015/201690290.00100000.00100000.00100000.00100000.00100000.00100000.00100000.00100000.00100000.00100000.0090290.0090290.0090290.0090290.0090290.0090290.00Neutral YCC008YFAS CTS Discretionary (£) BudgetWeeklyFinancial Year2016/201790290.0090290.0090290.0090290.0090290.0090290.0090290.0090290.0090290.0090290.0090290.0090290.0090290.0090290.0090290.0090290.0090290.00Neutral YCC008YFAS CTS Discretionary (£) BudgetWeeklyFinancial Year2017/201860000.00100000.0060000.0060000.0060000.0060000.0060000.0060000.0060000.0060000.0060000.0060000.0060000.0060000.0060000.0060000.0060000.00Neutral YCC008YFAS CTS Discretionary (£) BudgetWeeklyFinancial Year2018/201960000.0060000.0060000.0060000.0060000.0060000.0060000.0060000.0060000.0060000.0060000.0060000.0060000.0060000.0060000.0060000.0060000.00Neutral YCC008YFAS CTS Discretionary (£) BudgetWeeklyFinancial Year2019/202060000.0060000.0060000.0060000.0060000.0060000.0060000.0060000.0060000.0060000.0060000.0060000.0060000.0060000.0060000.0060000.0060000.00Neutral YCC013YFAS Number of Food vouchers - (YTD)MonthlyFinancial Year2014/201574.007.0024.0036.0036.0051.0059.0070.0070.0073.0073.0074.0074.0074.0074.0074.0074.00Neutral YCC013YFAS Number of Food vouchers - (YTD)MonthlyFinancial Year2015/2016NCNCNCNCNCNCNCNCNCNCNCNCNCNCNCNCNCNeutral YCC022Number of YFAS applications - Grand Total - (YTD)WeeklyFinancial Year2014/20153180.00300.00683.00998.00998.001328.001647.001988.001988.002230.002432.002605.002605.002803.002992.003180.003180.00Neutral YCC022Number of YFAS applications - Grand Total - (YTD)WeeklyFinancial Year2015/20161325.0090.00155.00255.00255.00N/A293.00582.00582.00720.00851.00958.00958.001091.001197.001325.001325.00Neutral YCC022Number of YFAS applications - Grand Total - (YTD)WeeklyFinancial Year2016/20171256.0046.00165.00284.00284.00380.00496.00615.00615.00729.00826.00924.00924.001043.001112.001256.001256.00Neutral YCC022Number of YFAS applications - Grand Total - (YTD)WeeklyFinancial Year2017/20181159.0078.00272.00551.00551.00376.00495.00589.00589.00681.00764.00863.00863.00974.001074.001159.001159.00Neutral YCC022Number of YFAS applications - Grand Total - (YTD)WeeklyFinancial Year2018/20191328.00110.00173.00249.00249.00363.00470.00571.00571.00721.00853.00942.00942.001064.001200.001328.001328.00Neutral YCC022Number of YFAS applications - Grand Total - (YTD)WeeklyFinancial Year2019/2020924.0030.00176.00270.00270.00420.00478.00535.00535.00598.00734.00845.00845.00906.00924.00924.00924.00Neutral YH13% of mothers smoking at time of delivery - (Rolling 12 Month)QuarterlyFinancial Year2015/201612.0511.1511.5911.5911.8312.1612.1611.8912.0412.0411.9012.1312.0512.05Up is Bad YH13% of mothers smoking at time of delivery - (Rolling 12 Month)QuarterlyFinancial Year2016/201711.2612.0711.8612.1312.1312.0811.9712.0112.0111.9212.0311.5011.5011.6311.4911.2611.26Up is Bad YH13% of mothers smoking at time of delivery - (Rolling 12 Month)QuarterlyFinancial Year2017/2018NC11.2410.9710.7410.7411.18NC11.2311.2310.9610.82NCNCNCNCNCNCUp is Bad YH13% of mothers smoking at time of delivery - (Rolling 12 Month)QuarterlyFinancial Year2018/201911.9810.9011.4512.2511.98Up is Bad YH13% of mothers smoking at time of delivery - (Rolling 12 Month)QuarterlyFinancial Year2019/202010.5811.2610.4410.3010.58Up is Bad