Freedom of Information Request Reference No: I note you seek access to the following information: Could you please provide me with a copy of the figures supplied to the London Evening Standard under their Freedom of Information request which was the basis of this article on victims of domestic violence in London: http://www.standard.co.uk/news/london/revealed-shocking-rise-in-domestic-abuseof-women-in-london-a3336891.html Could you also provide a breakdown of the figures by gender of victim and gender of perpetrator. DECISION I have today decided to disclose the located information to you in full. Freedom of Information Act requests are periodically published on the MPS Publication Scheme Disclosure Log. I have provided a link below along with links to FOIA responses which appear to be relevant to your request: http://www.met.police.uk/foi/disclosure/disclosure_log.htm http://www.met.police.uk/foi/pdfs/disclosure_2016/june_2016/2016050000001.p df http://www.met.police.uk/foi/pdfs/disclosure_2015/december_2015/2015110000 390.pdf The attached spreadsheet is part of a recent disclosure which is due to be published on the MPS Disclosure Log in the near future. To avoid any delay in providing you with the information you have requested, I have provided it to you today: Please refer to the attached spreadsheet The link below is to MPS Crime statistics: http://www.met.police.uk/crimefigures/ Information Rights Unit

Domestic Abuse Victims in the MPS by Age, Ethnic Origin, Gender and Borough 01/01/2014 to 31/12/2015 Protective Marking Suitable for Publication Scheme Ad-Hoc Reference Number FOIA/MOPAC Ref Number Summary Creating Branch / Directorate Date Created Review Date Not Protectively Marked Yes 6105 Domestic Abuse Victims in the MPS by Age, Ethnic Origin, Gender and Borough for the date range 01/01/2014 to 31/12/2015 MetHQ - Strategy and Insight 14/07/2016 01/04/2018 This report uses LIVE DATA extracted from: CRIS MIS Date Live data was extracted: 14/07/2016 Police forces in the United Kingdom are routinely required to provide crime statistics to government bodies and the recording criteria is set nationally. However, the systems used for recording these figures are not generic, nor are the procedures used locally in capturing the crime data. It should be noted that for these reasons this force's response to your questions should not be used for comparison purposes with any other response you may receive.

Notes Data was extracted from CRIS MIS on 14/07/2016 for the two-year period 01/01/2014 to 31/12/2015 Data is a count of victims where there exists on the record a flag that indicates Domestic Abuse. Note that there are an additional 592 victims that have not been included in the tables presented because they were flagged as 'Corporate Victims', i.e. a business, and therefore cannot have an ethnicity, age or gender. The age of the victim has been grouped to aid clarity in the data presentation. All victims under the age of 16 have been placed into one group - this is because by definition, Domestic Abuse victims have to be aged 16 or over. The existence of victims under the age of 16 can be explained by the fact that a) the domestic abuse flag is applied to the whole crime record and b) multiple victims can be recorded on the same crime record. Therefore, imagine a situation where Adult A commits Domestic Abuse GBH to Adult victim B, in front of B's two children (C and D) who are upset by what they have seen, it is perfectly natural that the two children are recorded as victims in the crime. Since a DA flag has been added to the crime record due to the GBH between A and B, any victim query will also return the child victims (C and D) as they are on a DA flagged record. However, they are not direct victims of the DA component of the crime. This is the most likely reason for the existence of underage victims, though a manual read of every record would need to be performed to accurately explain all the victims who appear underage. The rest of the victims have been grouped into 10 year age groups. Police forces in the United Kingdom are routinely required to provide crime statistics to government bodies and the recording criteria is set nationally. However, the systems used for recording these figures are not generic, nor are the procedures used locally in capturing the crime data. It should be noted that for these reasons this force's response to your questions should not be used for comparison purposes with any other response you may receive.

IMPORTANT: Please ensure that the Notes Page is read in conjunction with the data in this report to ensure that it is interpreted correctly. Victims of Domestic Abuse in the MPS between the dates of 01/01/2014 and 31/12/2014; by Gender, Age and Ethnic Appearance Gender and Age Group 0 Unknown 1 White European 2 Dark European 3 Afro Caribbean 4 Asian 5 Oriental 6 Arabian/ Egyptian Grand Total Female 1206 24750 3016 11146 7055 664 785 48622 Age 0 15 32 139 29 87 59 5 12 363 Age 16 19 92 1745 196 993 505 25 50 3606 Age 20 29 489 8217 1053 4280 2400 178 252 16869 Age 30 39 335 6668 958 2845 2254 237 236 13533 Age 40 49 150 4831 544 1881 1083 145 169 8803 Age 50 59 73 2049 152 797 454 47 52 3624 Age 60 69 21 641 59 157 194 24 10 1106 Age 70 plus 14 460 25 106 106 3 4 718 Male 528 6636 809 3070 2158 119 280 13600 Age 0 15 23 126 25 110 71 2 12 369 Age 16 19 25 403 65 230 130 11 20 884 Age 20 29 163 1625 227 802 580 33 69 3499 Age 30 39 185 1530 208 711 551 38 62 3285 Age 40 49 85 1436 151 650 345 15 52 2734 Age 50 59 31 912 86 408 261 10 43 1751 Age 60 69 7 403 28 82 135 3 17 675 Age 70 plus 9 201 19 77 85 7 5 403 Unrecorded Gender 13 8 3 5 3 0 1 33 Age 0 15 6 0 0 0 0 0 0 6 Age 16 19 1 1 0 0 1 0 0 3 Age 20 29 2 4 0 2 0 0 1 9 Age 30 39 1 0 1 2 2 0 0 6 Age 40 49 2 2 2 1 0 0 0 7 Age 50 59 0 1 0 0 0 0 0 1 Age 70 plus 1 0 0 0 0 0 0 1 Grand Total 1747 31394 3828 14221 9216 783 1066 62255 Victims of Domestic Abuse in the MPS between the dates of 01/01/2015 and 31/12/2015; by Gender, Age and Ethnic Appearance Gender and Age Group 0 Unknown 1 White European 2 Dark European 3 Afro Caribbean 4 Asian 5 Oriental 6 Arabian/ Egyptian Grand Total Female 2158 26988 3186 11686 7750 722 982 53472 Age 0 15 53 160 28 110 89 6 10 456 Age 16 19 183 1958 229 1062 518 22 63 4035 Age 20 29 830 8776 1047 4381 2602 200 329 18165 Age 30 39 641 7199 986 2904 2410 256 299 14695 Age 40 49 270 5157 560 1948 1218 166 201 9520 Age 50 59 120 2379 241 975 523 41 58 4337 Age 60 69 33 870 67 180 264 27 15 1456 Age 70 plus 28 489 28 126 126 4 7 808 Male 1097 7892 948 3645 2640 153 306 16681 Age 0 15 38 149 27 115 85 5 7 426 Age 16 19 55 433 59 249 172 12 24 1004 Age 20 29 376 1929 246 960 646 44 84 4285 Age 30 39 341 1872 258 912 700 39 71 4193 Age 40 49 171 1691 191 697 482 28 54 3314 Age 50 59 85 1082 109 509 278 12 37 2112 Age 60 69 16 473 37 114 168 10 17 835 Age 70 plus 15 263 21 89 109 3 12 512 Unrecorded Gender 20 7 1 5 4 0 1 38 Age 0 15 4 0 0 0 0 0 0 4 Age 16 19 3 1 0 0 0 0 0 4 Age 20 29 7 1 0 3 1 0 0 12 Age 30 39 4 1 0 1 1 0 1 8 Age 40 49 1 2 1 0 1 0 0 5 Age 50 59 1 2 0 1 1 0 0 5 Grand Total 3275 34887 4135 15336 10394 875 1289 70191 Police forces in the United Kingdom are routinely required to provide crime statistics to government bodies and the recording criteria is set nationally. However, the systems used for recording these figures are not generic, nor are the procedures used locally in capturing the crime data. It should be noted that for these reasons this force's response to your questions should not be used for comparison purposes with any other response you may receive.

IMPORTANT: Please ensure that the Notes Page is read in conjunction with the data in this report to ensure that it is interpreted correctly. Victims of Domestic Abuse for the period 01/01/2014 to 31/12/2014 by Gender, Ethnic Appearance, Age Group and Borough Barking & Dagenham Barnet Gender, Ethnicity and Age Group Female 1714 1536 1148 1945 1581 1022 2571 1768 1974 1929 1823 932 1726 1107 1247 0 Unknown Ethnicity 23 39 26 46 43 23 81 33 63 58 52 23 50 14 30 Age 0 15 0 0 1 0 2 2 1 1 0 3 2 0 0 0 1 Age 16 19 2 0 2 4 5 4 8 0 5 3 5 1 4 0 1 Age 20 29 13 17 10 20 19 9 35 17 27 23 21 9 19 5 12 Age 30 39 4 8 8 13 8 6 21 9 16 18 18 6 17 3 9 Age 40 49 3 7 3 7 6 1 9 5 10 4 3 6 6 3 5 Age 50 59 1 5 1 2 2 0 7 1 5 7 0 1 2 2 1 Age 60 69 0 0 1 0 1 1 0 0 0 0 2 0 1 1 1 Age 70 plus 0 2 0 0 0 0 0 0 0 0 1 0 1 0 0 1 White European 1039 884 908 691 1225 565 1238 785 813 1251 722 492 731 451 1009 Age 0 15 8 4 8 5 6 2 6 6 1 11 5 2 0 6 8 Age 16 19 84 46 75 45 106 27 89 47 74 98 48 34 42 34 93 Age 20 29 382 285 315 221 405 181 426 228 304 397 246 157 232 139 354 Age 30 39 259 256 240 204 282 141 338 218 189 351 212 126 216 124 257 Age 40 49 191 165 183 131 252 133 245 165 130 256 117 93 160 76 179 Age 50 59 67 81 58 50 113 50 87 82 68 97 68 56 52 43 80 Age 60 69 22 28 14 15 40 25 31 18 22 28 16 13 24 20 22 Age 70 plus 26 19 15 20 21 6 16 21 25 13 10 11 5 9 16 2 Dark European 70 149 23 110 35 78 101 60 410 55 186 65 284 39 33 Age 0 15 1 3 0 0 1 0 0 1 6 0 0 0 4 0 0 Age 16 19 3 5 1 9 8 4 5 2 31 3 14 1 20 3 3 Age 20 29 27 48 11 41 10 31 24 22 133 19 62 29 103 15 14 Age 30 39 32 37 8 33 7 22 40 13 136 12 57 19 74 11 11 Age 40 49 6 33 3 19 8 16 26 16 73 15 31 10 57 10 4 Age 50 59 1 15 0 1 0 4 3 5 21 5 14 4 17 0 0 Age 60 69 0 4 0 6 1 1 2 0 7 1 7 1 6 0 1 Age 70 plus 0 4 0 1 0 0 1 1 3 0 1 1 3 0 0 3 Afro Caribbean 331 229 125 590 223 167 851 314 522 460 664 211 520 191 105 Age 0 15 2 3 2 6 1 3 2 2 3 5 5 1 4 3 1 Age 16 19 26 18 12 50 12 21 78 30 62 38 68 21 45 14 7 Age 20 29 147 85 39 227 96 54 305 127 201 175 239 85 195 72 35 Age 30 39 93 53 42 134 62 46 241 78 146 141 157 45 122 46 36 Age 40 49 49 47 22 110 35 28 145 42 74 81 133 39 88 37 21 Age 50 59 11 16 5 43 15 9 58 29 27 15 40 16 50 17 1 Age 60 69 3 5 1 13 1 5 10 3 5 5 15 1 9 2 4 Age 70 plus 0 2 2 7 1 1 12 3 4 0 7 3 7 0 0 4 Asian 232 152 55 381 38 139 261 477 140 78 162 63 110 352 61 Age 0 15 1 1 0 2 1 0 2 0 0 1 3 2 0 3 1 Age 16 19 30 7 2 23 1 10 11 24 9 8 6 1 9 23 6 Age 20 29 77 43 16 132 10 55 81 150 36 20 57 13 43 83 19 Age 30 39 67 44 23 123 12 55 87 164 57 27 54 25 34 115 20 Age 40 49 41 29 9 52 11 6 41 77 20 13 24 11 10 78 9 Age 50 59 10 21 2 28 3 10 18 36 12 6 10 10 12 24 3 Age 60 69 2 5 2 13 0 3 11 13 5 3 8 0 1 18 3 Age 70 plus 4 2 1 8 0 0 10 13 1 0 0 1 1 8 0 5 Oriental 13 25 7 50 13 22 26 26 13 16 25 27 18 17 5 Age 0 15 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 Age 16 19 0 1 1 2 1 0 0 3 0 1 1 1 2 1 1 Age 20 29 4 2 1 8 2 11 5 7 3 3 7 6 6 6 0 Age 30 39 2 17 2 19 4 5 6 8 6 9 9 14 5 4 1 Age 40 49 6 4 2 17 5 4 9 4 2 2 6 4 2 5 3 Age 50 59 1 1 1 2 0 1 3 2 2 1 1 1 3 1 0 Age 60 69 0 0 0 0 1 1 3 1 0 0 0 1 0 0 0 Age 70 plus 0 0 0 1 0 0 0 1 0 0 1 0 0 0 0 6 Arabian/Egyptian 6 58 4 77 4 28 13 73 13 11 12 51 13 43 4 Age 0 15 0 1 0 1 0 0 0 4 0 0 0 0 0 0 0 Age 16 19 0 4 0 11 0 1 1 2 2 3 2 0 0 4 0 Age 20 29 3 16 1 23 1 10 3 27 5 3 3 13 2 16 0 Age 30 39 1 15 1 19 1 8 5 25 5 3 5 16 8 10 3 Age 40 49 2 17 1 18 2 8 3 12 1 2 1 13 2 10 1 Age 50 59 0 5 0 5 0 1 1 0 0 0 1 8 0 3 0 Age 60 69 0 0 1 0 0 0 0 1 0 0 0 0 1 0 0 Age 70 plus 0 0 0 0 0 0 0 2 0 0 0 1 0 0 0 Male 439 441 314 569 486 320 746 533 464 537 453 313 447 313 323 0 Unknown Ethnicity 15 19 7 9 17 9 40 19 31 25 27 12 24 6 10 Age 0 15 0 1 0 0 4 1 0 0 0 0 2 0 0 0 0 Age 16 19 1 0 1 2 1 0 2 1 1 2 1 0 2 1 0 Age 20 29 7 10 5 2 7 2 10 6 6 5 9 4 9 3 5 Age 30 39 4 4 1 2 2 2 14 8 14 11 9 4 7 2 3 Age 40 49 3 2 0 2 3 2 9 2 8 6 2 3 2 0 2 Age 50 59 0 1 0 1 0 1 3 1 2 0 3 1 2 0 0 Age 60 69 0 0 0 0 0 0 1 1 0 1 1 0 0 0 0 Age 70 plus 0 1 0 0 0 1 1 0 0 0 0 0 2 0 0 1 White European 244 238 250 170 376 197 338 193 194 326 157 150 160 110 252 Age 0 15 6 5 4 6 4 0 8 4 2 5 3 2 2 1 5 Age 16 19 22 8 15 6 26 7 27 9 9 18 11 7 10 9 19 Age 20 29 70 51 69 48 76 42 75 48 39 78 47 38 43 29 55 Age 30 39 50 54 59 37 60 60 90 38 42 93 37 29 34 21 55 Age 40 49 44 43 58 30 111 40 79 33 56 76 29 34 40 26 52 Age 50 59 25 36 26 27 60 28 34 38 28 34 21 29 18 14 44 Age 60 69 16 29 12 9 26 16 18 14 11 19 3 8 10 8 15 Age 70 plus 11 12 7 7 13 4 7 9 7 3 6 3 3 2 7 2 Dark European 11 39 6 32 15 26 33 17 83 20 39 14 78 11 6 Age 0 15 0 3 1 1 0 1 0 1 0 0 3 0 2 0 0 Bexley Brent Bromley Camden Croydon Ealing Enfield Greenwich Hackney Hammersmith & Fulham Haringey Harrow Havering

Age 16 19 0 4 0 3 0 2 2 2 4 2 1 0 6 2 1 Age 20 29 5 13 1 11 6 5 5 6 24 5 12 4 19 4 1 Age 30 39 1 7 1 6 5 6 7 3 21 8 7 6 24 1 0 Age 40 49 2 4 2 8 2 5 8 4 14 2 10 1 16 2 2 Age 50 59 3 4 0 2 2 5 9 0 10 3 5 2 7 1 2 Age 60 69 0 2 1 0 0 1 2 0 5 0 1 1 3 1 0 Age 70 plus 0 2 0 1 0 1 0 1 5 0 0 0 1 0 0 3 Afro Caribbean 92 73 30 186 62 38 246 84 115 124 181 87 139 59 33 Age 0 15 3 2 2 5 2 2 7 2 7 3 5 6 1 1 1 Age 16 19 10 7 1 7 1 4 21 11 8 13 13 3 14 2 3 Age 20 29 29 23 12 44 16 7 56 28 33 33 53 24 36 15 6 Age 30 39 24 19 8 41 19 9 64 12 26 26 46 17 28 19 8 Age 40 49 18 13 2 48 15 9 52 16 22 31 32 22 21 11 6 Age 50 59 6 7 4 28 5 7 32 12 11 13 17 11 31 8 9 Age 60 69 1 1 0 6 3 0 12 2 4 5 8 3 5 1 0 Age 70 plus 1 1 1 7 1 0 2 1 4 0 7 1 3 2 0 4 Asian 74 48 19 138 11 44 74 189 33 30 41 23 35 117 17 Age 0 15 4 1 1 4 0 3 0 4 1 2 1 0 0 8 1 Age 16 19 2 4 1 5 0 2 5 2 2 4 0 2 1 9 0 Age 20 29 16 15 6 31 3 17 22 50 10 6 12 4 13 27 0 Age 30 39 25 7 5 35 5 6 15 41 6 9 11 6 8 29 5 Age 40 49 9 8 2 23 1 6 15 42 4 4 8 3 4 20 6 Age 50 59 5 10 1 17 0 9 10 23 6 3 5 2 7 12 3 Age 60 69 1 2 3 10 2 0 5 22 2 2 2 3 2 7 1 Age 70 plus 12 1 0 13 0 1 2 5 2 0 2 3 0 5 1 5 Oriental 1 7 1 7 1 3 3 2 3 8 5 3 4 1 3 Age 16 19 0 0 0 2 0 0 0 0 0 3 0 0 0 0 1 Age 20 29 0 3 0 2 0 2 0 0 0 4 2 0 2 1 0 Age 30 39 1 3 0 2 1 1 1 1 1 1 1 1 0 0 2 Age 40 49 0 1 0 0 0 0 0 1 2 0 0 2 0 0 0 Age 50 59 0 0 0 1 0 0 1 0 0 0 1 0 2 0 0 Age 70 plus 0 0 1 0 0 0 1 0 0 0 1 0 0 0 0 6 Arabian/Egyptian 2 17 1 27 4 3 12 29 5 4 3 24 7 9 2 Age 0 15 0 0 0 0 0 0 0 4 0 0 0 0 1 0 1 Age 16 19 0 3 0 2 0 0 0 1 0 0 0 4 0 1 0 Age 20 29 0 2 0 6 3 1 7 6 0 0 0 6 1 3 1 Age 30 39 1 2 1 8 0 1 1 8 1 2 1 5 1 1 0 Age 40 49 0 4 0 5 1 0 3 3 1 1 1 6 0 3 0 Age 50 59 1 5 0 3 0 1 0 4 1 1 1 3 4 0 0 Age 60 69 0 0 0 3 0 0 0 3 2 0 0 0 0 1 0 Age 70 plus 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 Unknown Gender 0 0 0 1 3 1 1 0 1 2 0 1 1 2 0 0 Unknown Ethnicity 0 0 0 0 1 1 1 0 0 0 0 1 1 1 0 Age 0 15 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 Age 16 19 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 Age 30 39 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 Age 40 49 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 Age 70 plus 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 White European 0 0 0 1 2 0 0 0 0 0 0 0 0 0 0 Age 16 19 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 Age 20 29 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 Age 40 49 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 2 Dark European 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 Afro Caribbean 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 Age 20 29 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 Age 30 39 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 4 Asian 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 Age 30 39 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 6 Arabian/Egyptian 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 Age 20 29 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 Grand Total 2153 1977 1462 2515 2070 1343 3318 2301 2439 2468 2276 1246 2174 1422 1570 Victims of Domestic Abuse for the period 01/01/2015 to 31/12/2015 by Gender, Ethnic Appearance, Age Group and Borough

Barking & Dagenham Barnet Gender, Ethnicity and Age Group Female 1933 1769 1255 1968 1779 1244 2841 1990 2166 2121 1925 1113 1982 1148 1421 0 Unknown Ethnicity 42 86 28 81 77 34 160 59 113 71 84 62 111 46 50 Age 0 15 1 1 0 2 3 1 5 2 0 2 0 0 0 1 0 Age 16 19 3 6 1 8 3 3 22 4 12 7 4 1 9 8 6 Age 20 29 21 35 10 27 27 11 72 23 48 24 38 29 44 16 22 Age 30 39 14 27 12 24 21 11 36 14 31 29 27 18 44 12 15 Age 40 49 2 9 1 9 18 5 19 9 17 6 10 8 8 4 5 Age 50 59 0 6 3 9 2 1 3 7 4 2 4 3 4 4 1 Age 60 69 0 0 1 1 2 1 1 0 0 1 1 3 1 0 0 Age 70 plus 1 2 0 1 1 1 2 0 1 0 0 0 1 1 1 1 White European 1172 1006 985 696 1362 653 1398 853 922 1356 736 582 802 501 1137 Age 0 15 9 4 11 5 8 4 10 6 6 7 2 2 1 4 12 Age 16 19 113 58 101 44 119 37 121 59 82 120 38 24 45 34 105 Age 20 29 388 325 366 244 404 211 441 244 305 461 239 182 275 168 382 Age 30 39 331 250 222 198 335 154 372 259 225 346 217 151 238 127 308 Age 40 49 196 192 162 117 302 107 283 145 181 263 142 111 147 94 201 Age 50 59 87 103 83 58 114 96 120 88 86 112 76 89 57 47 72 Age 60 69 32 54 29 18 53 24 32 37 28 31 13 19 23 21 32 Age 70 plus 16 20 11 12 27 20 19 15 9 16 9 4 16 6 25 2 Dark European 68 148 15 112 54 93 107 51 432 76 210 53 302 37 39 Age 0 15 0 0 0 1 1 1 1 0 4 0 4 0 2 0 0 Age 16 19 6 7 1 3 2 10 6 2 34 7 14 7 39 2 2 Age 20 29 24 38 4 36 14 22 46 17 126 24 67 14 113 13 12 Age 30 39 27 51 5 40 20 30 32 19 133 26 63 18 62 12 15 Age 40 49 10 26 3 16 10 14 16 12 85 15 40 6 49 8 7 Age 50 59 1 20 0 11 3 10 4 1 34 2 19 6 29 2 0 Age 60 69 0 3 2 4 3 5 2 0 12 2 3 0 6 0 3 Age 70 plus 0 3 0 1 1 1 0 0 4 0 0 2 2 0 0 3 Afro Caribbean 358 244 158 583 209 220 868 342 496 458 662 266 600 180 119 Age 0 15 3 3 1 5 2 3 8 2 3 5 5 5 6 4 0 Age 16 19 21 19 9 66 13 15 102 23 51 35 79 25 54 17 8 Age 20 29 133 81 42 211 82 72 324 135 181 170 241 87 229 62 42 Age 30 39 112 72 57 115 58 70 201 73 142 133 161 60 130 48 35 Age 40 49 63 51 29 93 33 43 148 50 82 83 99 59 94 33 25 Age 50 59 22 14 15 59 16 8 63 38 26 24 59 24 73 13 7 Age 60 69 3 1 4 26 2 7 12 9 8 5 7 1 5 3 2 Age 70 plus 1 3 1 8 3 2 10 12 3 3 11 5 9 0 0 4 Asian 274 175 57 376 53 176 275 573 161 117 181 74 113 333 63 Age 0 15 5 3 1 2 0 1 2 9 1 1 3 2 1 1 0 Age 16 19 20 16 1 23 5 15 11 28 7 5 16 6 14 16 5 Age 20 29 97 45 17 121 20 79 82 158 50 44 56 26 39 94 17 Age 30 39 83 47 12 118 11 47 102 166 54 34 69 15 37 111 27 Age 40 49 49 34 19 58 8 20 50 109 31 18 15 12 11 53 11 Age 50 59 12 19 5 32 8 11 17 50 12 7 10 5 6 33 3 Age 60 69 6 10 1 12 1 3 6 39 5 5 8 5 2 13 0 Age 70 plus 2 1 1 10 0 0 5 14 1 3 4 3 3 12 0 5 Oriental 13 28 7 39 20 32 20 27 14 26 35 14 32 14 7 Age 0 15 0 0 0 0 0 1 1 0 0 0 1 0 0 1 0 Age 16 19 0 0 0 2 0 1 0 0 1 0 2 0 0 2 0 Age 20 29 3 6 2 5 5 14 2 6 3 10 13 5 11 4 1 Age 30 39 6 11 4 10 6 7 11 8 5 11 10 5 13 3 5 Age 40 49 2 8 1 16 6 4 3 10 3 3 4 2 7 3 0 Age 50 59 1 2 0 5 0 2 1 2 1 1 4 1 1 1 1 Age 60 69 1 1 0 1 2 3 2 1 1 1 1 1 0 0 0 Age 70 plus 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 6 Arabian/Egyptian 6 82 5 81 4 36 13 85 28 17 17 62 22 37 6 Age 0 15 0 0 0 0 0 0 0 0 1 0 0 1 0 2 0 Age 16 19 0 3 0 3 1 0 0 3 0 1 2 6 3 3 0 Age 20 29 2 27 2 30 0 18 6 25 10 7 3 11 10 11 3 Age 30 39 1 27 2 31 3 4 5 29 11 3 7 19 6 9 2 Age 40 49 1 19 1 12 0 7 1 20 5 4 5 23 2 11 1 Age 50 59 1 5 0 4 0 4 1 5 1 1 0 0 1 1 0 Age 60 69 1 1 0 1 0 2 0 2 0 1 0 2 0 0 0 Age 70 plus 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 Male 572 580 364 566 579 405 930 715 590 600 607 399 601 407 456 0 Unknown Ethnicity 32 37 22 39 27 23 93 41 56 40 38 40 41 24 24 Age 0 15 1 0 1 1 0 0 4 1 2 2 1 1 0 2 2 Age 16 19 2 1 4 4 2 0 4 3 4 2 0 1 1 0 2 Age 20 29 18 13 8 10 6 12 30 10 7 19 17 13 16 10 12 Age 30 39 4 9 5 15 11 7 34 13 21 16 7 10 15 6 4 Age 40 49 2 9 4 6 4 1 14 11 12 0 9 7 4 3 4 Age 50 59 4 3 0 2 3 2 5 3 6 1 3 3 4 2 0 Age 60 69 1 1 0 0 1 1 1 0 1 0 1 4 0 0 0 Age 70 plus 0 1 0 1 0 0 1 0 3 0 0 1 1 1 0 1 White European 302 298 262 159 427 199 395 287 222 360 215 196 212 163 344 Age 0 15 2 5 7 3 8 2 4 6 4 6 9 5 4 10 8 Age 16 19 30 13 17 8 27 6 30 10 7 27 14 8 9 11 20 Age 20 29 74 69 64 42 107 49 89 64 54 96 52 45 39 40 91 Age 30 39 77 67 59 36 87 58 101 67 48 72 50 54 59 31 77 Age 40 49 59 74 51 30 101 35 81 62 47 84 46 43 50 27 68 Age 50 59 37 35 43 21 58 26 59 41 37 53 33 25 40 25 43 Age 60 69 16 18 13 16 23 18 19 29 12 13 10 14 7 14 25 Age 70 plus 7 17 8 3 16 5 12 8 13 9 1 2 4 5 12 2 Dark European 15 42 7 26 19 22 23 18 135 22 69 20 93 14 14 Age 0 15 0 0 0 2 0 1 2 1 2 0 2 0 0 0 0 Age 16 19 2 3 0 0 1 2 0 1 8 1 7 0 7 0 1 Age 20 29 3 3 0 5 5 6 7 7 32 13 18 10 22 6 4 Age 30 39 3 16 1 14 5 6 2 5 33 5 10 6 24 4 2 Age 40 49 5 9 4 2 6 1 6 0 29 2 20 2 18 3 1 Age 50 59 1 4 2 3 0 5 4 2 21 1 9 2 11 0 5 Age 60 69 1 3 0 0 2 1 2 0 6 0 2 0 7 1 0 Age 70 plus 0 4 0 0 0 0 0 2 4 0 1 0 4 0 1 Bexley Brent Bromley Camden Croydon Ealing Enfield Greenwich Hackney Hammersmith & Fulham Haringey Harrow Havering

3 Afro Caribbean 104 99 53 171 70 78 296 111 123 132 217 92 210 59 48 Age 0 15 5 6 1 4 5 2 6 1 1 3 6 1 5 1 4 Age 16 19 8 4 1 12 6 4 24 14 10 12 22 8 12 6 4 Age 20 29 25 29 17 50 21 23 74 23 41 39 45 24 59 14 13 Age 30 39 29 26 8 35 13 16 82 23 24 36 53 19 40 17 7 Age 40 49 24 14 12 26 12 16 63 23 32 23 34 22 43 11 14 Age 50 59 9 14 11 33 8 12 32 16 11 16 38 13 37 7 5 Age 60 69 4 4 3 7 2 5 12 4 3 2 9 3 10 3 0 Age 70 plus 0 2 0 4 3 0 3 7 1 1 10 2 4 0 1 4 Asian 114 72 15 130 26 59 114 230 46 35 53 28 33 132 24 Age 0 15 3 2 1 5 0 1 1 10 0 2 1 1 0 2 1 Age 16 19 9 6 3 5 1 5 6 6 4 1 3 4 2 13 1 Age 20 29 30 22 4 25 7 19 27 42 9 7 17 7 11 25 5 Age 30 39 32 9 3 29 7 15 31 58 15 14 11 8 11 35 8 Age 40 49 20 18 1 29 6 9 20 54 7 6 11 4 7 23 5 Age 50 59 11 9 3 22 3 5 12 33 5 1 4 3 1 19 2 Age 60 69 1 4 0 10 1 4 11 15 4 3 6 0 1 12 1 Age 70 plus 8 2 0 5 1 1 6 12 2 1 0 1 0 3 1 5 Oriental 1 6 2 10 9 7 7 5 1 9 6 3 5 5 0 Age 0 15 0 0 0 0 0 0 1 0 0 0 0 0 1 2 0 Age 16 19 0 0 0 3 0 0 1 1 0 0 0 2 0 1 0 Age 20 29 0 2 0 2 2 1 0 1 1 5 3 1 1 1 0 Age 30 39 0 3 0 0 6 2 1 1 0 3 2 0 2 1 0 Age 40 49 1 0 2 3 1 1 4 1 0 0 1 0 0 0 0 Age 50 59 0 0 0 0 0 3 0 0 0 0 0 0 1 0 0 Age 60 69 0 1 0 2 0 0 0 1 0 1 0 0 0 0 0 6 Arabian/Egyptian 4 26 3 31 1 17 2 23 7 2 9 20 7 10 2 Age 0 15 0 0 0 0 0 0 0 1 0 0 0 1 0 2 0 Age 16 19 0 2 0 2 0 0 0 1 0 0 1 1 0 1 1 Age 20 29 2 7 0 7 0 4 0 6 2 1 5 1 4 3 1 Age 30 39 1 4 0 10 0 3 1 11 2 1 2 8 0 1 0 Age 40 49 0 9 0 5 0 4 0 1 2 0 0 7 1 2 0 Age 50 59 0 2 3 4 0 3 0 2 0 0 0 1 2 1 0 Age 60 69 0 2 0 3 0 2 0 1 0 0 0 1 0 0 0 Age 70 plus 1 0 0 0 1 1 1 0 1 0 1 0 0 0 0 Unknown gender 0 0 0 5 2 0 3 2 0 3 0 1 4 1 1 0 Unknown Ethnicity 0 0 0 3 2 0 3 1 0 2 0 0 3 0 1 Age 0 15 0 0 0 2 1 0 0 0 0 1 0 0 0 0 0 Age 16 19 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 Age 20 29 0 0 0 0 1 0 0 0 0 1 0 0 2 0 1 Age 30 39 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 Age 40 49 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 Age 50 59 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 White European 0 0 0 1 0 0 0 0 0 1 0 0 1 1 0 Age 20 29 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 Age 40 49 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 Age 50 59 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 2 Dark European 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 Afro Caribbean 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 Age 30 39 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 Age 50 59 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 4 Asian 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 Age 40 49 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 6 Arabian/Egyptian 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Grand Total 2505 2349 1619 2539 2360 1649 3774 2707 2756 2724 2532 1513 2587 1556 1878 Police forces in the United Kingdom are routinely required to provide crime statistics to government bodies and the recording criteria is set nationally. However, the systems used for recording these figures are not generic, nor are the procedures used locally in capturing the crime data. It should be noted that for these reasons this force's response to your questions should not be used for comparison purposes with any other response you may receive.

Heathrow Hillingdon Hounslow Islington Kensington & Chelsea Kingston Upon Thames Lambeth Lewisham Merton Newham Grand Total 16 1919 1788 1487 606 591 1942 1935 899 2374 1565 607 2036 885 1837 1871 1312 929 48622 0 23 39 39 21 12 70 53 18 43 40 18 50 22 45 44 37 28 1206 0 0 0 0 0 1 2 4 1 0 1 0 4 0 3 1 1 1 32 0 4 4 4 1 3 0 3 1 3 3 3 3 1 5 6 2 2 92 0 10 16 13 5 2 27 23 9 16 14 4 19 10 18 21 18 8 489 0 6 13 11 7 2 25 12 3 16 10 4 15 7 12 11 9 8 335 0 1 4 7 6 2 9 5 2 6 3 4 5 2 6 3 4 3 150 0 2 2 2 1 2 5 4 1 1 4 3 0 1 1 1 2 4 73 0 0 0 2 1 0 1 0 1 1 2 0 2 1 0 0 0 2 21 0 0 0 0 0 0 1 2 0 0 3 0 2 0 0 1 1 0 14 5 1193 955 802 300 411 713 922 531 870 562 458 868 692 673 845 707 439 24750 0 7 4 4 0 2 4 4 1 5 3 3 1 3 3 12 4 1 139 0 101 80 47 17 26 40 52 32 42 43 32 54 54 43 64 44 32 1745 2 392 328 279 94 142 224 317 176 308 193 140 280 199 258 258 207 148 8217 1 323 251 214 98 116 211 233 146 253 151 106 222 171 202 231 217 109 6668 2 226 184 144 53 76 136 205 110 165 114 100 202 160 101 166 130 81 4831 0 92 76 75 25 28 69 78 40 62 41 53 72 64 44 76 60 42 2049 0 37 17 24 9 12 17 19 16 17 8 11 15 28 9 22 27 15 641 0 15 15 15 4 9 12 14 10 18 9 13 22 13 13 16 18 11 460 2 44 47 122 47 24 171 71 32 127 83 18 149 20 73 153 54 81 3016 0 0 0 0 0 0 3 0 2 1 1 0 1 0 1 3 1 0 29 0 0 1 9 7 1 9 9 1 9 6 2 14 2 0 8 2 4 196 1 13 15 52 13 7 55 22 10 50 31 4 52 7 31 52 18 31 1053 1 17 23 33 10 8 51 26 6 45 30 7 43 7 36 54 22 27 958 0 12 4 16 13 6 40 9 8 16 13 3 24 1 1 30 7 14 544 0 1 4 10 1 1 7 4 2 5 1 2 8 2 3 5 2 4 152 0 0 0 0 3 0 6 0 2 0 1 0 5 1 1 1 1 1 59 0 1 0 2 0 1 0 1 1 1 0 0 2 0 0 0 1 0 25 2 201 221 383 117 51 873 780 169 564 240 44 806 78 206 432 330 146 11146 0 4 2 4 1 0 7 4 0 3 3 0 4 1 1 4 5 1 87 0 21 21 35 5 6 67 66 15 59 22 5 74 8 16 26 32 13 993 1 61 87 132 49 18 376 305 64 204 97 13 314 31 72 185 133 56 4280 0 62 60 100 31 19 195 195 40 155 58 8 205 17 56 99 63 40 2845 1 37 35 77 19 3 128 131 30 90 31 17 136 15 34 64 61 21 1881 0 9 16 23 8 5 81 66 17 45 22 1 56 3 18 39 26 10 797 0 5 0 5 2 0 10 10 2 4 5 0 10 2 5 10 4 1 157 0 2 0 7 2 0 9 3 1 4 2 0 7 1 4 5 6 4 106 3 427 488 94 49 58 82 78 128 724 628 50 106 60 791 365 142 81 7055 0 5 2 0 0 0 0 0 1 7 1 1 4 1 14 5 0 1 59 0 22 32 9 3 3 9 2 13 54 47 3 13 3 74 27 16 5 505 1 133 149 32 19 21 24 25 35 297 211 8 35 4 340 151 48 32 2400 1 153 154 28 13 18 24 31 31 222 209 17 30 25 257 84 31 19 2254 1 66 86 20 9 14 16 11 30 97 97 15 15 13 62 53 31 16 1083 0 21 37 2 3 1 3 6 15 29 40 2 7 9 24 35 12 3 454 0 18 18 0 2 1 3 2 2 8 15 3 2 5 14 7 3 4 194 0 9 10 3 0 0 3 1 1 10 8 1 0 0 6 3 1 1 106 2 14 14 29 22 13 19 21 12 40 8 9 33 11 38 20 22 34 664 1 0 1 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 5 0 0 0 1 1 0 1 2 0 2 1 0 2 0 0 0 0 0 25 0 2 1 14 10 2 2 4 1 14 3 1 8 1 21 8 3 12 178 1 4 4 8 3 4 11 9 6 13 3 4 12 5 10 7 8 14 237 0 6 5 4 8 7 2 4 3 5 0 1 4 3 4 3 6 5 145 0 2 2 2 0 0 2 1 2 3 0 2 2 1 3 1 3 1 47 0 0 1 0 0 0 0 1 0 2 1 1 5 1 0 1 2 2 24 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 2 17 24 18 50 22 14 10 9 6 4 10 24 2 11 12 20 120 785 0 0 0 0 0 3 0 0 0 1 0 1 0 0 0 0 0 1 12 0 1 2 2 2 1 1 0 0 0 0 1 1 0 0 0 1 8 50 0 5 6 12 15 6 5 8 3 4 2 3 5 0 6 5 7 34 252 1 4 9 2 19 5 4 2 4 1 0 2 6 0 3 5 7 37 236 1 5 7 1 7 4 3 0 1 0 1 3 9 0 2 1 3 28 169 0 2 0 1 6 2 0 0 1 0 1 0 2 1 0 1 1 10 52 0 0 0 0 1 1 1 0 0 0 0 0 1 1 0 0 0 2 10 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 4 6 505 483 394 182 164 523 558 255 580 481 177 596 250 538 561 376 273 13600 0 7 13 11 3 6 35 28 14 24 21 4 27 5 30 13 9 8 528 0 0 0 0 1 0 2 4 2 1 0 0 1 0 2 1 1 0 23 0 1 1 0 1 0 2 0 1 1 0 0 1 0 1 1 0 0 25 0 1 4 3 0 2 11 4 3 6 10 0 6 3 11 4 2 3 163 0 3 4 6 0 2 13 11 4 9 9 2 10 2 12 6 1 4 185 0 2 2 1 1 0 3 6 4 4 2 1 7 0 2 1 3 0 85 0 0 0 1 0 2 3 1 0 2 0 0 2 0 2 0 2 1 31 0 0 0 0 0 0 0 1 0 1 0 1 0 0 0 0 0 0 7 0 0 2 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 9 2 281 246 202 91 118 210 239 158 195 164 145 262 196 208 226 208 130 6636 0 7 7 5 3 2 0 5 2 11 3 2 1 4 4 3 9 1 126 0 13 20 9 1 8 10 11 8 13 17 10 18 20 13 16 9 4 403 1 61 65 68 15 29 50 66 42 57 33 31 67 39 57 51 41 44 1625 1 64 66 41 25 23 47 46 39 45 33 35 59 53 55 57 48 34 1530 0 58 42 43 25 27 56 58 30 35 36 26 56 30 44 52 50 17 1436 0 46 27 20 10 10 36 29 21 18 30 26 39 28 25 33 33 19 912 0 22 15 10 9 10 8 9 12 9 11 10 15 13 6 8 13 9 403 0 10 4 6 3 9 3 15 4 7 1 5 7 9 4 6 5 2 201 0 11 15 47 11 1 47 32 10 20 19 3 49 6 20 42 22 24 809 0 2 0 2 0 0 4 0 0 0 2 0 1 0 0 2 0 0 25 Redbridge Richmond Upon Thames Southwark Sutton Tower Hamlets Waltham Forest Wandsworth Westminster

0 0 1 1 0 0 8 3 1 0 1 1 4 1 1 7 5 2 65 0 1 5 16 2 0 13 7 1 6 9 2 10 4 8 10 3 9 227 0 3 3 9 6 1 12 12 4 8 4 0 18 0 2 11 6 6 208 0 1 3 13 2 0 5 8 0 5 2 0 11 1 4 4 6 4 151 0 3 2 3 0 0 3 0 3 0 1 0 1 0 4 7 2 2 86 0 1 1 1 1 0 2 0 0 1 0 0 2 0 1 0 0 1 28 0 0 0 2 0 0 0 2 1 0 0 0 2 0 0 1 0 0 19 0 64 39 95 45 12 195 228 30 155 74 8 219 22 56 148 95 36 3070 0 2 1 5 2 0 7 12 1 7 5 0 7 0 3 1 5 3 110 0 4 5 8 3 1 16 9 0 9 1 0 27 2 2 14 6 5 230 0 14 13 22 10 6 50 55 11 30 19 1 70 10 15 32 22 7 802 0 19 5 19 7 2 47 50 5 45 18 5 46 4 7 36 25 5 711 0 16 6 23 12 2 39 59 6 40 13 1 38 5 16 33 15 8 650 0 5 8 13 3 1 30 32 6 16 17 0 24 1 9 21 14 7 408 0 2 1 3 1 0 2 6 0 6 1 1 3 0 2 2 1 0 82 0 2 0 2 7 0 4 5 1 2 0 0 4 0 2 9 7 1 77 3 132 150 29 11 16 27 26 35 176 201 13 24 20 215 124 33 30 2158 1 6 4 0 0 1 1 0 2 8 4 0 1 1 7 5 0 0 71 0 11 11 7 1 1 1 0 2 15 14 0 3 0 15 6 2 2 130 1 28 35 10 2 3 8 4 13 49 57 1 5 9 77 26 11 9 580 1 35 38 6 5 4 6 6 10 45 48 5 6 3 67 33 6 14 551 0 20 21 2 3 4 7 8 1 28 35 2 6 4 24 21 4 0 345 0 17 21 3 0 2 2 3 5 17 26 3 2 1 15 24 5 2 261 0 11 12 1 0 0 1 5 1 11 12 1 1 2 4 3 3 3 135 0 4 8 0 0 1 1 0 1 3 5 1 0 0 6 6 2 0 85 0 2 5 7 1 4 5 2 5 6 1 2 9 0 4 4 4 6 119 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 1 0 0 0 0 3 0 0 0 1 0 0 0 0 0 11 0 1 2 2 0 1 1 0 0 1 0 0 1 0 4 0 2 2 33 0 1 0 1 0 2 1 0 1 2 1 0 5 0 0 3 1 4 38 0 0 1 1 1 0 1 2 0 1 0 0 1 0 0 1 0 0 15 0 0 0 1 0 0 1 0 0 0 0 1 1 0 0 0 1 0 10 0 0 0 1 0 1 1 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 1 2 0 1 0 0 0 0 0 0 7 1 8 15 3 20 7 4 3 3 4 1 2 6 1 5 4 5 39 280 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 1 0 3 12 0 0 1 0 1 0 0 0 1 0 0 1 0 0 0 0 1 4 20 0 3 2 0 5 2 1 1 0 1 1 0 3 0 2 1 2 9 69 0 2 4 1 4 0 2 2 1 2 0 0 1 1 0 1 2 6 62 1 1 4 1 5 2 1 0 0 1 0 0 1 0 0 0 0 7 52 0 1 2 1 4 1 0 0 0 0 0 0 1 0 3 1 0 5 43 0 0 1 0 0 2 0 0 1 0 0 0 0 0 0 0 0 4 17 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 5 0 0 1 0 0 1 3 2 0 0 3 1 4 1 2 1 1 0 33 0 0 0 0 0 1 1 2 0 0 1 0 1 0 1 0 0 0 13 0 0 0 0 0 1 1 0 0 0 1 0 1 0 1 0 0 0 6 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 1 0 0 0 0 0 0 0 1 1 1 0 0 1 0 0 8 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 1 0 0 4 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 1 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 2 0 0 0 0 0 0 1 0 0 0 0 0 1 0 1 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 2 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 3 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 2 22 2424 2272 1881 788 756 2468 2495 1154 2954 2049 785 2636 1136 2377 2433 1689 1202 62255

Heathrow Hillingdon Hounslow Islington Kensington & Chelsea Kingston Upon Thames Lambeth Lewisham Merton Newham Grand Tota 16 1999 1945 1603 736 723 2012 2348 1060 2542 1536 759 2077 975 2091 1862 1561 972 53472 0 48 58 71 42 19 110 132 39 86 37 40 111 30 80 30 83 38 2158 0 0 1 0 0 0 6 8 1 1 0 0 5 0 6 0 3 4 53 0 4 3 3 5 1 10 12 1 6 5 1 10 4 13 3 3 2 183 0 15 20 24 10 4 37 49 19 43 19 11 40 13 27 5 36 11 830 0 18 20 26 16 10 36 36 6 22 7 9 34 9 17 14 15 11 641 0 5 7 10 8 3 11 15 8 11 2 7 14 3 12 4 15 5 270 0 4 3 5 2 1 9 8 2 2 1 9 5 0 2 4 5 5 120 0 2 2 2 0 0 1 1 1 1 3 1 0 0 3 0 4 0 33 0 0 2 1 1 0 0 3 1 0 0 2 3 1 0 0 2 0 28 6 1164 1014 838 362 529 776 1047 588 918 584 565 861 752 762 840 804 417 26988 0 12 7 4 1 2 2 5 4 8 2 6 5 1 5 2 3 0 160 1 103 82 56 22 38 31 80 29 64 46 31 54 53 38 66 37 27 1958 1 443 305 263 102 166 239 343 196 327 182 158 261 207 290 263 239 156 8776 4 269 288 203 91 136 218 275 176 272 145 131 226 222 218 261 230 101 7199 0 183 193 173 82 103 164 222 104 151 120 131 211 158 127 150 167 75 5157 0 110 92 74 37 56 79 80 44 61 57 72 61 60 44 61 73 30 2379 0 31 28 38 12 17 32 23 19 23 19 24 31 31 22 20 38 16 870 0 13 19 27 15 11 11 19 16 12 13 12 12 20 18 17 17 12 489 0 56 62 166 48 25 171 97 41 89 66 18 167 21 82 144 51 85 3186 0 1 0 2 1 0 2 1 0 0 0 0 3 0 0 2 1 1 28 0 2 3 20 1 1 7 8 3 7 5 1 10 1 3 5 3 7 229 0 23 20 51 14 12 56 32 14 33 31 2 55 10 27 46 16 35 1047 0 17 19 37 14 8 47 34 10 23 21 8 58 6 35 61 15 20 986 0 7 12 37 6 4 43 14 10 18 2 3 25 3 10 24 11 14 560 0 4 8 9 11 0 10 6 4 7 7 2 9 1 4 6 4 7 241 0 1 0 5 1 0 5 0 0 0 0 1 6 0 1 0 1 1 67 0 1 0 5 0 0 1 2 0 1 0 1 1 0 2 0 0 0 28 4 219 197 389 147 36 833 939 214 608 218 43 792 85 238 428 400 133 11686 0 6 1 4 0 1 4 12 2 8 1 0 7 1 2 2 4 0 110 0 19 17 27 16 4 67 93 22 53 19 4 55 13 15 51 39 11 1062 2 78 75 182 57 21 329 348 72 231 77 17 321 31 81 161 155 51 4381 2 61 45 84 31 4 196 242 54 144 59 10 220 19 47 96 90 33 2904 0 45 37 46 28 5 131 153 40 98 39 10 117 12 56 63 63 20 1948 0 10 15 35 11 1 84 69 17 53 20 1 62 9 28 46 38 15 975 0 0 2 8 3 0 12 13 6 12 2 1 7 0 4 5 8 2 180 0 0 5 3 1 0 10 9 1 9 1 0 3 0 5 4 3 1 126 4 462 564 105 41 84 85 96 156 783 610 66 93 72 871 389 170 98 7750 0 8 5 0 0 2 1 0 5 8 3 2 2 0 11 5 5 0 89 0 16 28 10 1 2 3 6 11 71 39 3 9 2 78 27 16 8 518 2 130 165 42 19 28 29 39 45 279 223 13 32 17 348 151 49 46 2602 1 153 189 26 15 26 25 35 49 233 180 24 31 32 274 117 45 22 2410 1 96 99 21 3 17 18 10 23 103 106 16 11 10 100 44 27 15 1218 0 28 40 4 1 5 4 5 12 56 38 5 4 7 33 32 14 5 523 0 18 26 2 1 2 5 0 11 23 12 2 3 2 18 11 10 2 264 0 13 12 0 1 2 0 1 0 10 9 1 1 2 9 2 4 0 126 2 22 24 16 18 20 21 20 9 37 12 15 32 8 38 22 29 49 722 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 6 0 0 2 0 2 0 0 0 0 1 2 0 3 2 1 0 0 1 22 1 7 5 4 3 4 5 6 3 10 0 3 12 2 15 7 4 19 200 0 3 6 9 7 8 9 9 5 13 5 6 9 2 16 8 12 14 256 1 11 10 2 4 6 5 3 1 11 2 5 8 1 6 3 6 9 166 0 1 1 0 0 2 0 0 0 2 1 1 0 1 0 1 3 5 41 0 0 0 1 2 0 2 1 0 0 2 0 0 0 0 1 3 0 27 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 1 4 0 28 26 18 78 10 16 17 13 21 9 12 21 7 20 9 24 152 982 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 2 10 0 3 0 3 7 0 0 2 1 1 1 2 2 0 1 1 1 13 63 0 6 5 8 32 6 7 7 4 10 1 2 10 4 7 2 7 46 329 0 13 10 3 25 1 6 5 5 6 2 8 4 2 3 4 8 35 299 0 4 7 3 11 3 2 3 2 2 4 0 4 1 5 2 5 31 201 0 1 4 1 1 0 1 0 1 2 1 0 1 0 0 0 0 21 58 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 2 1 15 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 3 7 6 554 601 513 226 252 646 723 313 688 490 212 617 340 665 573 520 371 16681 0 24 41 35 11 13 55 69 15 33 23 4 40 16 56 19 44 22 1097 0 0 1 0 0 0 1 1 0 1 1 1 3 0 4 1 4 2 38 0 1 4 0 1 1 4 2 1 1 0 0 1 0 3 0 3 3 55 0 8 13 15 1 6 14 25 5 12 10 1 10 5 27 6 11 6 376 0 6 16 10 6 4 20 21 4 12 6 0 17 4 15 7 13 3 341 0 5 5 6 3 1 11 13 4 3 2 0 5 5 3 5 5 5 171 0 3 2 3 0 0 5 6 0 3 3 2 3 2 2 0 8 2 85 0 0 0 0 0 1 0 0 1 1 1 0 0 0 0 0 0 1 16 0 1 0 1 0 0 0 1 0 0 0 0 1 0 2 0 0 0 15 3 304 297 272 121 172 269 289 169 214 160 169 258 255 233 225 270 171 7892 0 6 13 1 0 1 3 8 4 4 1 1 2 6 4 9 2 1 149 0 17 23 14 2 9 7 14 4 11 14 10 9 17 6 20 15 4 433 2 90 73 73 18 34 57 71 54 65 40 31 63 65 56 53 57 52 1929 0 65 77 65 36 33 71 66 36 43 36 34 67 59 73 50 66 52 1872 0 55 45 57 29 36 63 64 32 48 35 45 65 54 54 51 68 32 1691 0 40 45 37 18 33 47 35 17 30 19 31 17 30 23 25 39 20 1082 1 20 15 12 12 18 15 13 14 5 11 12 22 15 11 9 14 7 473 0 11 6 13 6 8 6 18 8 8 4 5 13 9 6 8 9 3 263 0 16 12 47 14 7 41 42 13 30 16 6 38 9 21 51 14 32 948 0 0 0 1 1 0 3 2 0 1 0 0 3 0 1 4 0 1 27 0 1 2 3 2 1 0 2 1 1 1 1 2 2 1 5 1 0 59 0 3 4 13 4 0 13 10 5 7 4 0 6 2 3 14 3 14 246 0 6 5 9 3 2 11 17 2 12 8 1 11 2 7 12 4 10 258 0 1 1 10 3 1 10 5 4 6 2 3 11 3 5 7 5 6 191 0 3 0 4 1 1 4 6 1 1 1 0 4 0 3 8 1 1 109 0 2 0 3 0 1 0 0 0 2 0 1 1 0 1 1 0 0 37 0 0 0 4 0 1 0 0 0 0 0 0 0 0 0 0 0 0 21 Redbridge Richmond Upon Thames Southwark Sutton Tower Hamlets Waltham Forest Wandsworth Westminster

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