◉ plumplot 

London other theft crime statistics

Annual crime rate in London region is 15.3, i.e. 15.3 crimes committed per annum per 1000 workday people. Compared to the national crime rate, London's crime rate is at 162%. Other theft crime makes up 11.8% of all crimes committed in the region. The total number of "other theft crime" is 133k, and this number has increased by 16.9% when compared year-over-year in the period of July 2018 - June 2019.

15.3

annual crime rate per 1k workday people

162%

of national crime rate

11.8%

of all crimes

133k

crimes committed

16.9%

annual change

London other theft crime rate comparison map

July 2018 - June 2019

London other theft crime rate comparison map
Postcode sectorCrime rate vs. ENG & WLS rateCrime rate per 1000 workday peopleTotal number of crimes
BR1 1282%27267
BR1 238%437
BR1 3110%10118
BR1 4131%12131
BR1 5120%11139
BR2 0137%13118
BR2 667%616
BR2 754%535
BR2 870%760
BR2 977%791
BR3 1152%14112
BR3 3100%9109
BR3 4270%25277
BR3 561%626
BR3 634%312
BR4 066%648
BR4 951%536
BR5 1114%1196
BR5 276%781
BR5 374%774
BR5 460%649
BR6 0120%11117
BR6 664%631
BR6 782%864
BR6 892%965
BR6 981%881
BR7 571%738
BR7 6162%15131
CR0 064%690
CR0 1269%25478
CR0 2175%17347
CR0 3200%19315
CR0 4153%14332
CR0 587%882
CR0 6197%19294
CR0 797%9104
CR0 8143%13124
CR0 938%428
CR2 040%428
CR2 692%986
CR2 764%633
CR2 8134%13109
CR2 956%529
CR4 187%896
CR4 288%878
CR4 384%8109
CR4 465%668
CR5 160%640
CR5 287%872
CR7 6187%18121
CR7 792%9131
CR7 8130%12171
CR8 128%39
CR8 2153%14114
CR8 359%623
CR8 441%417
CR8 533%319
DA1 4119%11120
DA14 428%321
DA14 5117%1179
DA14 6103%1083
DA15 757%528
DA15 833%332
DA15 961%636
DA16 1116%1195
DA16 234%331
DA16 3162%15119
DA17 569%647
DA17 691%966
DA18 457%531
DA5 1107%1057
DA5 237%314
DA5 327%315
DA6 7185%17130
DA6 8134%1371
DA7 444%441
DA7 573%753
DA7 644%433
DA8 195%9104
DA8 2247%23230
DA8 397%977
E1 0130%12114
E1 1417%39344
E1 2211%20183
E1 370%738
E1 4180%17297
E1 5138%13133
E1 6333%31676
E1 7138%13282
E1 893%9173
E10 5125%12156
E10 6140%13211
E10 7158%15191
E11 1123%12111
E11 2101%1086
E11 3113%11119
E11 4125%12138
E12 5184%17229
E12 672%7136
E13 085%8112
E13 8130%12170
E13 9230%22311
E14 097%996
E14 2125%1220
E14 391%9104
E14 464%6112
E14 523%2143
E14 6162%15148
E14 7153%14165
E14 868%6115
E14 954%5137
E15 1492%46676
E15 2620%58652
E15 3113%11121
E15 4182%17228
E16 1513%48484
E16 2144%14152
E16 3123%12131
E16 482%892
E17 3113%11125
E17 4208%20295
E17 5107%10139
E17 6127%12169
E17 7355%33324
E17 8180%17202
E17 9250%24244
E18 1130%1273
E18 2110%1085
E1W 1239%22121
E1W 2226%21112
E1W 3113%1143
E2 0168%16149
E2 6234%22151
E2 7426%40314
E2 8179%17129
E2 9248%23208
E3 2275%26290
E3 3125%12126
E3 4223%21251
E3 5162%15150
E4 699%9115
E4 7108%10113
E4 8222%21252
E4 9104%10136
E5 0138%13156
E5 8111%10120
E5 9140%13169
E6 1181%17251
E6 2162%15236
E6 369%6105
E6 594%9105
E6 6114%11159
E7 068%668
E7 8137%13242
E7 958%680
E8 1322%30291
E8 2351%33278
E8 3354%33297
E8 4287%27223
E9 5157%15174
E9 6141%13167
E9 7164%15153
EC1A 215%16
EC1A 4117%1136
EC1A 797%9103
EC1A 9114%1138
EC1M 3127%1212
EC1M 442%49
EC1M 575%741
EC1M 6282%27156
EC1M 7342%3226
EC1N 6165%1611
EC1N 755%534
EC1N 853%541
EC1R 0100%956
EC1R 1127%1230
EC1R 3140%1338
EC1R 4160%1560
EC1R 5150%1434
EC1V 0117%1151
EC1V 11441%136149
EC1V 290%925
EC1V 3168%1655
EC1V 482%830
EC1V 7138%1352
EC1V 874%717
EC1V 9558%53369
EC1Y 0179%1741
EC1Y 1273%2631
EC1Y 4190%1835
EC1Y 847%458
EC2A 166%613
EC2A 2307%2956
EC2A 3419%39350
EC2A 4184%17262
EC2M 1112%1150
EC2M 2265%2559
EC2M 3251%2456
EC2M 484%8103
EC2M 545%410
EC2M 6184%1741
EC2M 7186%18166
EC2N 2130%1229
EC2N 449%522
EC2R 6112%1125
EC2R 752%523
EC2V 557%518
EC2V 660%633
EC2V 730%318
EC2V 813%14
EC2Y 510%19
EC2Y 822%237
EC2Y 9125%1246
EC3A 335%37
EC3A 513%18
EC3A 7116%1137
EC3M 450%510
EC3M 715%113
EC3N 1119%1181
EC3N 269%762
EC3N 4420%40235
EC3R 5106%1064
EC3R 747%419
EC3R 826%227
EC3V 0110%1071
EC3V 1175%1739
EC3V 3146%1465
EC3V 967%615
EC4A 176%775
EC4A 315%116
EC4A 4196%1817
EC4M 7164%1580
EC4M 9340%3292
EC4N 1211%2020
EC4N 5390%3737
EC4N 7278%2662
EC4N 820%29
EC4R 016%225
EC4R 121%22
EC4R 215%113
EC4R 9128%1257
EC4V 216%13
EC4V 312%111
EC4V 4308%2950
EC4V 546%449
EC4V 6108%1040
EC4Y 065%617
EC4Y 1119%1130
EC4Y 8101%1038
EN1 1185%17227
EN1 268%636
EN1 388%8104
EN1 4100%9102
EN2 083%856
EN2 6316%30177
EN2 725%214
EN2 862%652
EN2 9139%1329
EN3 4108%10114
EN3 5108%10135
EN3 687%8128
EN3 7134%13178
EN4 094%944
EN4 897%985
EN4 9105%1061
EN5 1168%1696
EN5 238%444
EN5 3229%2261
EN5 5160%15112
HA0 1141%13151
HA0 290%887
HA0 383%863
HA0 4102%10107
HA1 1385%36341
HA1 2109%1099
HA1 3108%10160
HA1 460%659
HA2 075%766
HA2 6115%1159
HA2 738%425
HA2 883%874
HA2 971%771
HA3 085%874
HA3 5113%1190
HA3 669%754
HA3 797%985
HA3 8170%16169
HA3 9113%11121
HA4 0154%14119
HA4 698%983
HA4 7146%14112
HA4 8118%1171
HA4 967%646
HA5 154%535
HA5 2141%1384
HA5 358%547
HA5 458%536
HA5 588%851
HA6 153%541
HA6 2117%11103
HA7 189%858
HA7 240%427
HA7 364%639
HA7 480%868
HA8 0116%11111
HA8 574%768
HA8 657%546
HA8 7326%31193
HA8 8126%12131
HA8 974%762
HA9 0337%32217
HA9 653%552
HA9 7263%25196
HA9 8110%10126
HA9 9102%1097
IG1 1248%23387
IG1 2132%12221
IG1 367%681
IG1 4196%18233
IG11 092%9128
IG11 7241%23336
IG11 8289%27325
IG11 971%798
IG2 6128%12135
IG2 7165%16174
IG3 8110%10174
IG3 975%799
IG4 5112%1187
IG5 037%444
IG6 171%752
IG6 2102%1096
IG6 3122%1276
IG7 480%848
IG8 055%538
IG8 745%429
IG8 8157%1599
IG8 971%745
IG9 659%620
KT1 1376%35355
KT1 2105%10115
KT1 377%772
KT1 447%413
KT2 577%778
KT2 6112%1188
KT2 776%776
KT3 369%767
KT3 4229%22159
KT3 559%641
KT3 6122%12104
KT4 849%557
KT5 849%534
KT5 952%535
KT6 4214%20105
KT6 653%527
KT6 757%557
KT8 9108%1044
KT9 161%646
KT9 286%880
N1 0292%28324
N1 1335%32242
N1 2254%24249
N1 3106%1057
N1 4114%1167
N1 5172%16121
N1 6210%20206
N1 799%9106
N1 8225%21192
N1 9416%39683
N10 1118%1174
N10 287%855
N10 3167%16119
N11 1104%10104
N11 2279%26208
N11 393%959
N12 0259%24180
N12 743%417
N12 8139%1393
N12 9139%1386
N13 499%988
N13 5126%12113
N13 6115%1154
N14 452%542
N14 5122%1188
N14 6113%1166
N14 738%415
N15 3174%16132
N15 4227%21225
N15 5186%17149
N15 6109%10112
N16 0152%1492
N16 5105%10132
N16 671%787
N16 7189%18143
N16 8189%18161
N16 9239%23100
N17 0137%13162
N17 680%8122
N17 7196%18148
N17 8120%1189
N17 9259%24327
N18 1108%10155
N18 2152%14232
N18 34943%466246
N19 3126%12114
N19 4134%1395
N19 5197%19211
N1C 46050%570714
N2 078%752
N2 8180%1781
N2 968%640
N20 0102%1082
N20 838%412
N20 9155%1566
N21 134%320
N21 252%526
N21 3102%1057
N22 5159%15151
N22 6450%42553
N22 7114%1189
N22 8114%1181
N3 196%974
N3 2116%11102
N3 378%743
N4 1244%23238
N4 2244%23420
N4 3193%18163
N4 4132%1253
N5 1252%24215
N5 2103%1082
N6 457%524
N6 5130%1292
N6 6105%1027
N7 0100%988
N7 6480%45281
N7 7155%15104
N7 8180%17165
N7 9147%14147
N8 0213%20166
N8 7120%1180
N8 8282%27187
N8 9130%1288
N9 0191%18216
N9 798%975
N9 841%438
N9 987%8111
NW1 0316%30383
NW1 197%9111
NW1 2406%38697
NW1 3185%17195
NW1 4218%21129
NW1 5453%43207
NW1 6202%19203
NW1 7365%34358
NW1 8451%43460
NW1 9158%15140
NW10 0168%16175
NW10 1166%16121
NW10 2173%16136
NW10 3153%14105
NW10 4188%18154
NW10 5142%13124
NW10 688%862
NW10 7118%11217
NW10 885%893
NW10 981%867
NW11 0136%1365
NW11 6282%27133
NW11 7125%1266
NW11 8214%20110
NW11 990%864
NW2 1122%1299
NW2 2122%1266
NW2 3203%19120
NW2 4111%1056
NW2 587%856
NW2 6155%15154
NW2 780%881
NW3 1201%1983
NW3 2105%10158
NW3 3153%14102
NW3 4158%1586
NW3 5256%24160
NW3 6216%20141
NW3 790%942
NW4 1116%1163
NW4 276%754
NW4 3238%22248
NW4 498%975
NW5 188%883
NW5 2202%19168
NW5 3174%1687
NW5 4106%1072
NW6 1219%21154
NW6 2263%25116
NW6 3158%1569
NW6 4338%32197
NW6 5142%13125
NW6 6145%14100
NW6 7246%23206
NW7 1141%1389
NW7 2382%36237
NW7 3454%43239
NW7 449%522
NW8 079%744
NW8 6144%1457
NW8 791%946
NW8 8123%12127
NW8 9133%1279
NW9 076%771
NW9 597%9149
NW9 6130%1298
NW9 770%736
NW9 886%866
NW9 9135%13108
RM1 1481%45238
RM1 296%948
RM1 3239%23166
RM1 4132%12127
RM10 7106%10115
RM10 8138%13143
RM10 988%8117
RM11 1267%25241
RM11 253%538
RM11 378%756
RM12 472%781
RM12 552%532
RM12 659%643
RM13 748%530
RM13 884%858
RM13 998%9105
RM14 143%432
RM14 2125%1291
RM14 354%530
RM2 569%733
RM2 659%624
RM3 094%9102
RM3 758%538
RM3 8153%14134
RM3 953%539
RM5 2189%18115
RM5 369%751
RM6 4104%10105
RM6 566%652
RM6 693%972
RM7 079%7108
RM7 770%723
RM7 851%524
RM7 975%734
RM8 1121%11128
RM8 280%887
RM8 3171%16144
RM9 481%875
RM9 577%771
RM9 6129%12117
SE1 0100%9259
SE1 1442%42671
SE1 2268%25789
SE1 3243%23294
SE1 4180%17187
SE1 5198%19178
SE1 6482%45356
SE1 7226%21650
SE1 8591%56827
SE1 9338%32789
SE10 0358%34331
SE10 8224%21147
SE10 9288%27251
SE11 4175%16126
SE11 5171%16155
SE11 6119%1169
SE12 096%965
SE12 883%853
SE12 9104%1065
SE13 5210%20196
SE13 6220%21285
SE13 7246%23286
SE14 5123%12130
SE14 6217%20185
SE15 1103%1069
SE15 2147%14127
SE15 3109%10102
SE15 4264%25153
SE15 5318%30270
SE15 683%874
SE16 2152%14131
SE16 3115%1199
SE16 4278%26134
SE16 5132%1243
SE16 6102%1026
SE16 7446%42213
SE17 1286%27161
SE17 2139%13144
SE17 3108%1093
SE18 1116%11127
SE18 2101%1069
SE18 387%875
SE18 470%774
SE18 5171%16138
SE18 6263%25333
SE18 782%879
SE19 1140%1383
SE19 2138%1371
SE19 387%867
SE2 065%654
SE2 9121%11130
SE20 7104%1086
SE20 8116%1193
SE21 770%728
SE21 871%756
SE22 0114%1169
SE22 8124%12100
SE22 9144%1472
SE23 1154%15105
SE23 2105%1087
SE23 3115%1187
SE24 0123%1276
SE24 982%849
SE25 490%979
SE25 597%970
SE25 6119%11111
SE26 4117%1180
SE26 5124%1287
SE26 683%860
SE27 087%873
SE27 9118%1183
SE28 057%556
SE28 8141%13194
SE3 0161%1587
SE3 7185%17101
SE3 8135%1389
SE3 9125%1272
SE4 191%993
SE4 2146%14122
SE5 0156%15117
SE5 7175%17152
SE5 8163%15209
SE5 991%9144
SE6 187%899
SE6 287%8104
SE6 3113%11101
SE6 4203%19190
SE7 7178%17196
SE7 8103%1081
SE8 3134%1395
SE8 4226%21147
SE8 5159%15116
SE9 185%871
SE9 2127%12110
SE9 372%765
SE9 4166%16140
SE9 5122%1175
SE9 6122%1286
SM1 1266%25203
SM1 270%770
SM1 365%669
SM1 499%989
SM2 549%556
SM2 655%538
SM2 731%314
SM3 843%429
SM3 999%998
SM4 427%325
SM4 5163%15147
SM4 6100%989
SM5 180%874
SM5 2165%16133
SM5 3100%961
SM5 442%417
SM6 0158%1588
SM6 752%526
SM6 837%430
SM6 966%657
SW10 0104%10124
SW10 9197%19154
SW11 1408%38293
SW11 2255%24210
SW11 390%888
SW11 4177%17119
SW11 5124%12127
SW11 658%539
SW12 079%737
SW12 899%983
SW12 9410%39252
SW13 088%844
SW13 8118%1112
SW13 9115%1170
SW14 799%955
SW14 868%649
SW15 1199%19157
SW15 2104%1089
SW15 3159%15115
SW15 4114%1193
SW15 561%652
SW15 6121%1173
SW16 1244%23183
SW16 2103%10113
SW16 3388%37244
SW16 4130%12123
SW16 5102%10114
SW16 6123%12123
SW17 0148%14275
SW17 689%87
SW17 7209%20215
SW17 884%892
SW17 9176%17195
SW18 1136%13136
SW18 299%970
SW18 383%873
SW18 4212%20231
SW18 554%548
SW19 1196%18184
SW19 2144%14144
SW19 350%554
SW19 470%759
SW19 592%944
SW19 671%751
SW19 793%955
SW19 8135%13159
SW1A 01262%11957
SW1A 1105%1068
SW1A 2278%26370
SW1E 5370%35252
SW1E 6183%17146
SW1H 099%990
SW1H 922%230
SW1P 1195%18227
SW1P 256%599
SW1P 354%593
SW1P 456%565
SW1V 1707%67507
SW1V 2272%26129
SW1V 3113%1166
SW1V 4156%1556
SW1W 065%664
SW1W 8276%26151
SW1W 9392%37376
SW1X 0123%1229
SW1X 7201%19160
SW1X 875%731
SW1X 999%950
SW1Y 4213%20148
SW1Y 556%543
SW1Y 6318%30186
SW2 1381%36215
SW2 2133%1292
SW2 389%875
SW2 4135%1384
SW2 5148%14118
SW20 092%962
SW20 899%971
SW20 996%951
SW3 1318%30273
SW3 2109%1066
SW3 3129%1273
SW3 4303%29165
SW3 5180%1788
SW3 6139%1389
SW4 0222%21115
SW4 6326%31201
SW4 7821%77421
SW4 862%628
SW4 9198%19121
SW5 0238%22143
SW5 9453%43299
SW6 1229%22174
SW6 2145%14155
SW6 3121%1198
SW6 4146%14101
SW6 5257%24141
SW6 690%867
SW6 7112%1182
SW7 1287%27138
SW7 2278%26277
SW7 3490%46205
SW7 4391%37211
SW7 5202%19151
SW8 1196%19187
SW8 2132%12114
SW8 3248%23134
SW8 4158%15120
SW8 5133%1261
SW9 0190%18121
SW9 6136%1379
SW9 7260%25200
SW9 8689%65378
SW9 9215%20170
TN16 2671%63148
TN16 385%875
TW1 1107%1065
TW1 273%730
TW1 3124%1276
TW1 474%752
TW10 574%718
TW10 696%971
TW10 757%531
TW11 043%429
TW11 869%756
TW11 986%855
TW12 156%534
TW12 244%432
TW12 364%631
TW13 4119%11133
TW13 577%754
TW13 6142%1397
TW13 773%744
TW14 0104%10102
TW14 886%891
TW14 977%764
TW2 595%965
TW2 645%431
TW2 797%980
TW3 1321%30335
TW3 279%751
TW3 3258%24246
TW3 483%863
TW4 586%870
TW4 6116%1188
TW4 7112%1188
TW5 0197%19183
TW5 9145%14218
TW6 21270%120424
TW6 3235%2245
TW7 476%748
TW7 5127%12160
TW7 687%890
TW7 7111%1074
TW8 091%977
TW8 8102%1059
TW8 981%882
TW9 1231%22175
TW9 2179%17107
TW9 3139%1357
TW9 486%849
UB1 1167%16159
UB1 260%679
UB1 3103%10107
UB10 0201%19164
UB10 8129%12112
UB10 958%546
UB11 11279%12117
UB2 490%8131
UB2 5106%10166
UB3 164%695
UB3 2138%13143
UB3 3150%14131
UB3 4160%15140
UB3 5224%21165
UB4 0103%1097
UB4 860%661
UB4 9270%25233
UB5 4118%11126
UB5 5100%993
UB5 6128%12168
UB6 098%997
UB6 759%646
UB6 8155%15237
UB6 976%785
UB7 035%3133
UB7 7151%14114
UB7 891%978
UB7 9141%1399
UB8 1304%29405
UB8 268%6129
UB8 391%9164
UB9 645%434
W10 488%868
W10 5149%14195
W10 6150%14151
W11 1350%33282
W11 2358%34222
W11 3540%51280
W11 4148%14136
W12 086%8129
W12 7196%18486
W12 8503%47473
W12 9123%12113
W13 0166%16125
W13 884%846
W13 9101%1099
W14 090%985
W14 8187%18213
W14 9110%10122
W1B 1123%1221
W1B 2188%1875
W1B 39361%88275
W1B 42206%208199
W1B 52097%198493
W1C 13517%332185
W1C 21546%14681
W1D 14920%464301
W1D 215167%1430193
W1D 3928%87423
W1D 42107%199556
W1D 51327%125427
W1D 61547%146699
W1D 71199%113404
W1F 0847%80477
W1F 7712%67595
W1F 8301%28216
W1F 9329%31224
W1G 01593%150182
W1G 666%621
W1G 757%513
W1G 839%415
W1G 915%117
W1H 149%516
W1H 2138%1318
W1H 488%820
W1H 5295%2887
W1H 6531%50157
W1H 7292%27140
W1J 0385%3696
W1J 584%843
W1J 685%848
W1J 7270%25184
W1J 8189%1872
W1K 1537%5188
W1K 2148%1475
W1K 338%423
W1K 4104%1025
W1K 5416%39145
W1K 6724%68180
W1K 7943%89241
W1S 1407%38428
W1S 2141%1386
W1S 3265%2555
W1S 4289%27165
W1T 1419%40447
W1T 2390%37161
W1T 3337%32180
W1T 4200%19124
W1T 5262%25179
W1T 666%614
W1T 7488%46139
W1U 1979%92441
W1U 2408%38117
W1U 3137%1362
W1U 4347%3371
W1U 5259%2476
W1U 6848%80239
W1U 7292%2893
W1U 849%520
W1W 5326%31104
W1W 6166%16118
W1W 788%852
W1W 8788%74417
W2 1344%32664
W2 2638%60436
W2 3669%63422
W2 4504%48363
W2 5188%18157
W2 6127%12178
W3 0137%13104
W3 6118%11145
W3 7146%14177
W3 885%896
W3 9371%35225
W4 1139%13104
W4 298%993
W4 3127%1294
W4 4110%1062
W4 5122%12145
W5 168%654
W5 2186%18201
W5 3117%11103
W5 4192%18172
W5 5309%29237
W6 0183%17271
W6 7124%12139
W6 8179%17215
W6 9227%21315
W7 180%859
W7 278%748
W7 390%871
W8 4275%26162
W8 5185%17189
W8 6201%19131
W8 7123%1277
W9 1144%14112
W9 2131%12105
W9 3101%10103
WC1A 11532%144340
WC1A 2508%48158
WC1B 3287%27249
WC1B 4184%1729
WC1B 5511%4891
WC1E 6172%16121
WC1E 7222%21119
WC1H 0285%27173
WC1H 8344%32132
WC1H 9243%23213
WC1N 1609%57321
WC1N 265%627
WC1N 3114%11129
WC1R 4137%1395
WC1R 5114%1146
WC1V 6437%41131
WC1V 7214%2050
WC1X 086%835
WC1X 8379%36199
WC1X 9287%27133
WC2A 189%835
WC2A 2581%5537
WC2A 3100%971
WC2B 4336%32139
WC2B 5145%14216
WC2B 63031%286208
WC2E 7135%13163
WC2E 8753%71164
WC2E 9534%50336
WC2H 01798%169370
WC2H 72854%2691027
WC2H 8453%43207
WC2H 9390%37351
WC2N 4391%37211
WC2N 5198%19228
WC2N 6653%62346
WC2R 01077%102233
WC2R 181%831
WC2R 2738%7047
WC2R 3132%1242

London other theft crime rate rank

Other theft crime rate is 15.3 crimes committed per 1,000 working people per annum. It's the 1. highest crime rate out of 10 England and Wales' regions.

1.

highest crime rate out of 10 regions

15.3

annual crime rate per 1k workday people
London other theft crime rate rank

London other theft crime rate compared to other regions

The total number of "other theft crime" is 133k, and this number has increased by 16.9% when compared year-over-year in the period of July 2018 - June 2019. In the graph below, region are compared by crime rate and crime rate percentage change. Crime rate percentage change compares the region crime rate between July 2018 - June 2019 to the region crime rate in the previous 12 months. The size of the circle reflects the number of total crimes committed. The bigger the circle, the higher the number of crimes committed in the region.

16.9%

annual change

15.3

annual crime rate per 1k workday people

133k

crimes committed
London other theft crime rate compared to other regionsCrime rate percentage change
Crime rate per 1000 workday people

London other theft crime rate

Annual crime rate per 1000 workday people

London other theft crime rate

London other theft crime seasonality

Total number of crimes committed in a given calendar month(1 = January … 12 = December) in the previous five years.

London other theft crime seasonality

Associated reports:

London crime stats

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London population statistics

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