◉ plumplot 

London other theft crime statistics

Annual crime rate in London region is 15.2, i.e. 15.2 crimes committed per annum per 1000 workday people. Compared to the national crime rate, London's crime rate is at 166%. Other theft crime makes up 11.6% of all crimes committed in the region. The total number of "other theft crime" is 132k, and this number has increased by 15.2% when compared year-over-year in the period of September 2018 - August 2019.

15.2

annual crime rate per 1k workday people

166%

of national crime rate

11.6%

of all crimes

132k

crimes committed

15.2%

annual change

London other theft crime rate comparison map

September 2018 - August 2019

London other theft crime rate comparison map
Postcode sectorCrime rate vs. ENG & WLS rateCrime rate per 1000 workday peopleTotal number of crimes
BR1 1300%28277
BR1 241%439
BR1 3107%10112
BR1 4123%11120
BR1 5142%13160
BR2 0130%12109
BR2 656%513
BR2 778%749
BR2 879%766
BR2 981%794
BR3 1168%15121
BR3 3111%10118
BR3 4244%22244
BR3 561%625
BR3 634%312
BR4 081%757
BR4 945%431
BR5 1131%12107
BR5 276%779
BR5 377%775
BR5 458%546
BR6 0127%12120
BR6 655%526
BR6 776%758
BR6 882%857
BR6 967%665
BR7 564%633
BR7 6144%13113
CR0 061%683
CR0 1277%25480
CR0 2182%17351
CR0 3172%16265
CR0 4149%14314
CR0 577%771
CR0 6171%16249
CR0 7101%9106
CR0 8139%13118
CR0 943%431
CR2 045%431
CR2 696%987
CR2 758%529
CR2 8121%1196
CR2 955%528
CR4 186%892
CR4 290%878
CR4 384%8106
CR4 471%772
CR5 148%431
CR5 282%866
CR7 6226%21142
CR7 799%9137
CR7 8138%13177
CR8 135%311
CR8 2132%1296
CR8 347%418
CR8 438%315
CR8 540%422
DA1 4132%12130
DA14 430%322
DA14 5108%1071
DA14 695%975
DA15 756%527
DA15 842%440
DA15 952%530
DA16 1122%1197
DA16 240%435
DA16 3152%14109
DA17 571%647
DA17 688%862
DA18 462%633
DA5 1119%1162
DA5 240%415
DA5 334%318
DA6 7191%18131
DA6 8126%1265
DA7 438%334
DA7 584%860
DA7 660%644
DA8 1102%9109
DA8 2244%22221
DA8 391%871
E1 0119%11102
E1 1415%38334
E1 2220%20186
E1 358%531
E1 4189%17304
E1 5138%13130
E1 6355%33703
E1 7144%13286
E1 896%9173
E10 5121%11147
E10 6135%12198
E10 7157%14184
E11 1124%11109
E11 2112%1093
E11 3125%12129
E11 4119%11128
E12 5186%17225
E12 672%7133
E13 084%8108
E13 8131%12166
E13 9222%20293
E14 0102%998
E14 297%915
E14 382%892
E14 465%6111
E14 526%2160
E14 6155%14138
E14 7147%13154
E14 863%6104
E14 954%5132
E15 1545%50730
E15 2559%51573
E15 3109%10114
E15 4171%16208
E16 1464%43427
E16 2147%14151
E16 3115%11120
E16 484%892
E17 3110%10119
E17 4215%20297
E17 5106%10134
E17 6127%12164
E17 7367%34326
E17 8175%16192
E17 9239%22227
E18 1136%1274
E18 293%970
E1W 1247%23122
E1W 2203%1998
E1W 3108%1040
E2 0186%17161
E2 6224%21141
E2 7450%41323
E2 8197%18138
E2 9253%23207
E3 2257%24264
E3 3126%12124
E3 4222%20243
E3 5168%15151
E4 6103%9116
E4 791%892
E4 8227%21251
E4 9109%10138
E5 0150%14165
E5 8116%11122
E5 9143%13168
E6 1169%16229
E6 2162%15230
E6 365%697
E6 590%898
E6 6117%11158
E7 067%665
E7 8134%12230
E7 963%684
E8 1335%31295
E8 2370%34285
E8 3338%31276
E8 4291%27220
E9 5159%15172
E9 6130%12150
E9 7155%14141
EC1A 216%16
EC1A 4120%1136
EC1A 7115%11118
EC1A 9120%1139
EC1M 3141%1313
EC1M 443%49
EC1M 573%739
EC1M 6313%29169
EC1M 7324%3024
EC1N 6170%1611
EC1N 758%535
EC1N 866%650
EC1R 0101%955
EC1R 1131%1230
EC1R 3147%1439
EC1R 4151%1455
EC1R 5159%1535
EC1V 0127%1254
EC1V 11370%126138
EC1V 2111%1030
EC1V 3160%1551
EC1V 490%832
EC1V 7139%1351
EC1V 894%921
EC1V 9595%55383
EC1Y 0210%1947
EC1Y 1299%2733
EC1Y 4251%2345
EC1Y 851%561
EC2A 168%613
EC2A 2377%3567
EC2A 3473%43385
EC2A 4197%18273
EC2M 1120%1152
EC2M 2290%2763
EC2M 3230%2150
EC2M 492%8110
EC2M 551%511
EC2M 6180%1739
EC2M 7179%16155
EC2N 2143%1331
EC2N 460%626
EC2R 6143%1331
EC2R 744%419
EC2V 565%620
EC2V 675%740
EC2V 735%320
EC2V 813%14
EC2Y 512%110
EC2Y 825%240
EC2Y 9170%1661
EC3A 341%48
EC3A 519%211
EC3A 7131%1241
EC3M 456%511
EC3M 719%216
EC3N 1125%1183
EC3N 274%765
EC3N 4438%40239
EC3R 5120%1171
EC3R 753%521
EC3R 829%329
EC3V 0113%1071
EC3V 1171%1637
EC3V 3173%1675
EC3V 978%717
EC4A 184%880
EC4A 315%115
EC4A 4225%2119
EC4M 7162%1577
EC4M 9371%3498
EC4N 1238%2222
EC4N 5422%3939
EC4N 7313%2968
EC4N 818%28
EC4R 016%124
EC4R 111%11
EC4R 218%215
EC4R 9145%1363
EC4V 222%24
EC4V 312%111
EC4V 4360%3357
EC4V 556%558
EC4V 6133%1248
EC4Y 083%821
EC4Y 1126%1231
EC4Y 8104%1038
EN1 1185%17222
EN1 281%742
EN1 386%899
EN1 4101%9100
EN2 091%860
EN2 6361%33197
EN2 726%214
EN2 866%654
EN2 9118%1124
EN3 4102%9105
EN3 5113%10138
EN3 688%8126
EN3 7133%12172
EN4 0119%1154
EN4 893%980
EN4 994%953
EN5 1160%1589
EN5 240%445
EN5 3227%2159
EN5 5170%16116
HA0 1138%13144
HA0 289%884
HA0 397%971
HA0 4107%10110
HA1 1420%39363
HA1 2111%1098
HA1 3103%9148
HA1 459%557
HA2 076%765
HA2 6116%1158
HA2 748%431
HA2 887%876
HA2 976%774
HA3 069%659
HA3 5111%1086
HA3 670%653
HA3 799%985
HA3 8151%14146
HA3 996%9100
HA4 0156%14118
HA4 689%873
HA4 7147%14110
HA4 8116%1168
HA4 968%645
HA5 159%537
HA5 2157%1491
HA5 362%649
HA5 464%639
HA5 599%956
HA6 151%538
HA6 2124%11107
HA7 1114%1072
HA7 259%539
HA7 362%637
HA7 490%875
HA8 0112%10105
HA8 577%769
HA8 664%650
HA8 7324%30187
HA8 8127%12128
HA8 971%758
HA9 0346%32217
HA9 657%555
HA9 7267%24194
HA9 8110%10122
HA9 997%990
IG1 1252%23384
IG1 2130%12211
IG1 367%679
IG1 4192%18222
IG11 085%8116
IG11 7239%22324
IG11 8286%26313
IG11 968%692
IG2 6128%12132
IG2 7156%14160
IG3 8108%10166
IG3 969%688
IG4 5117%1189
IG5 036%342
IG6 177%755
IG6 2103%994
IG6 3134%1281
IG7 482%848
IG8 050%534
IG8 740%425
IG8 8138%1385
IG8 972%744
IG9 654%518
KT1 1383%35352
KT1 2118%11126
KT1 388%880
KT1 441%411
KT2 554%553
KT2 697%974
KT2 770%669
KT3 353%550
KT3 4233%21158
KT3 556%538
KT3 6133%12110
KT4 843%449
KT5 840%427
KT5 941%427
KT6 4226%21108
KT6 651%525
KT6 764%662
KT8 9101%940
KT9 156%541
KT9 287%879
N1 0301%28325
N1 1350%32246
N1 2278%26266
N1 3118%1162
N1 4145%1383
N1 5182%17125
N1 6212%19203
N1 7107%10112
N1 8226%21188
N1 9437%40698
N10 1128%1278
N10 291%856
N10 3165%15115
N11 1101%998
N11 2249%23181
N11 393%958
N12 0245%23166
N12 750%519
N12 8133%1287
N12 9130%1278
N13 4108%1093
N13 5126%12110
N13 6102%947
N14 453%542
N14 5112%1079
N14 6112%1064
N14 736%314
N15 3173%16128
N15 4252%23243
N15 5197%18154
N15 6104%10104
N16 0165%1597
N16 5101%9124
N16 662%674
N16 7187%17138
N16 8200%18166
N16 9257%24105
N17 0131%12151
N17 678%7116
N17 7196%18144
N17 8121%1187
N17 9222%20274
N18 1111%10154
N18 2152%14226
N18 35321%489258
N19 3128%12113
N19 4122%1184
N19 5208%19217
N1C 46315%580726
N2 079%751
N2 8167%1573
N2 968%639
N20 092%872
N20 846%414
N20 9159%1566
N21 148%428
N21 251%525
N21 3105%1057
N22 5159%15147
N22 6446%41533
N22 7115%1187
N22 8112%1077
N3 1100%975
N3 2108%1093
N3 380%743
N4 1248%23236
N4 2255%23428
N4 3195%18160
N4 4130%1251
N5 1250%23208
N5 2113%1088
N6 458%524
N6 5145%13100
N6 684%821
N7 098%984
N7 6498%46284
N7 7148%1497
N7 8168%15150
N7 9131%12128
N8 0223%20169
N8 7124%1180
N8 8334%31216
N8 9135%1289
N9 0184%17203
N9 7108%1081
N9 838%334
N9 985%8106
NW1 0305%28361
NW1 195%9105
NW1 2451%41753
NW1 3190%17195
NW1 4219%20126
NW1 5472%43210
NW1 6212%20208
NW1 7371%34355
NW1 8471%43468
NW1 9156%14135
NW10 0161%15164
NW10 1157%14112
NW10 2165%15126
NW10 3145%1397
NW10 4188%17150
NW10 5141%13120
NW10 685%858
NW10 7111%10199
NW10 876%781
NW10 982%866
NW11 0144%1367
NW11 6272%25125
NW11 7126%1265
NW11 8212%19106
NW11 995%966
NW2 1122%1196
NW2 2131%1269
NW2 3191%18110
NW2 4104%1051
NW2 5107%1067
NW2 6151%14146
NW2 770%669
NW3 1196%1879
NW3 2103%9151
NW3 3171%16111
NW3 4154%1482
NW3 5258%24157
NW3 6237%22151
NW3 775%734
NW4 1100%953
NW4 276%752
NW4 3256%23259
NW4 4104%1077
NW5 180%774
NW5 2199%18161
NW5 3177%1686
NW5 4111%1073
NW6 1227%21156
NW6 2242%22104
NW6 3162%1569
NW6 4324%30184
NW6 5135%12116
NW6 6140%1394
NW6 7255%23208
NW7 1145%1389
NW7 2346%32209
NW7 3443%41227
NW7 455%524
NW8 070%638
NW8 6158%1561
NW8 785%842
NW8 8128%12129
NW8 9138%1380
NW9 084%877
NW9 5103%9153
NW9 6137%13101
NW9 778%739
NW9 880%760
NW9 9134%12105
RM1 1482%44232
RM1 290%844
RM1 3231%21156
RM1 4124%11117
RM10 7113%10120
RM10 8154%14155
RM10 974%795
RM11 1280%26246
RM11 254%538
RM11 370%649
RM12 469%676
RM12 546%428
RM12 655%539
RM13 753%532
RM13 878%752
RM13 9102%9106
RM14 142%431
RM14 2123%1187
RM14 361%633
RM2 571%733
RM2 658%523
RM3 086%891
RM3 760%538
RM3 8157%14134
RM3 955%540
RM5 2187%17111
RM5 372%752
RM6 4106%10104
RM6 567%651
RM6 696%973
RM7 072%797
RM7 781%726
RM7 839%418
RM7 973%732
RM8 1114%10117
RM8 281%786
RM8 3177%16145
RM9 477%770
RM9 577%769
RM9 6128%12113
SE1 0100%9252
SE1 1455%42673
SE1 2285%26817
SE1 3257%24303
SE1 4169%16171
SE1 5190%17167
SE1 6465%43334
SE1 7235%22659
SE1 8612%56835
SE1 9355%33807
SE10 0365%34329
SE10 8213%20136
SE10 9309%28263
SE11 4162%15114
SE11 5167%15148
SE11 6105%1059
SE12 095%963
SE12 896%960
SE12 993%957
SE13 5205%19186
SE13 6215%20271
SE13 7261%24295
SE14 5122%11126
SE14 6242%22201
SE15 193%961
SE15 2131%12110
SE15 3118%11107
SE15 4260%24147
SE15 5330%30273
SE15 686%875
SE16 2139%13117
SE16 3112%1094
SE16 4268%25126
SE16 5129%1241
SE16 6105%1026
SE16 7452%41210
SE17 1278%25152
SE17 2141%13142
SE17 3106%1089
SE18 198%9105
SE18 293%962
SE18 385%871
SE18 480%782
SE18 5174%16137
SE18 6260%24321
SE18 780%776
SE19 1145%1384
SE19 2156%1478
SE19 381%761
SE2 066%653
SE2 9119%11124
SE20 7107%1086
SE20 8121%1195
SE21 767%626
SE21 873%756
SE22 0106%1063
SE22 8126%1299
SE22 9138%1367
SE23 1177%16117
SE23 2107%1087
SE23 3105%1077
SE24 0118%1171
SE24 983%848
SE25 491%877
SE25 591%864
SE25 6128%12116
SE26 4111%1074
SE26 5131%1290
SE26 685%860
SE27 075%762
SE27 9121%1183
SE28 057%554
SE28 8137%13183
SE3 0163%1586
SE3 7216%20115
SE3 8126%1281
SE3 9130%1273
SE4 196%995
SE4 2151%14123
SE5 0151%14110
SE5 7173%16146
SE5 8162%15202
SE5 996%9148
SE6 194%9104
SE6 290%8104
SE6 3121%11105
SE6 4218%20199
SE7 7177%16189
SE7 8106%1081
SE8 3137%1395
SE8 4213%20135
SE8 5141%13100
SE9 198%980
SE9 2130%12110
SE9 379%770
SE9 4158%14130
SE9 5126%1276
SE9 6127%1287
SM1 1280%26208
SM1 271%669
SM1 372%774
SM1 4110%1096
SM2 536%340
SM2 661%641
SM2 722%210
SM3 856%537
SM3 996%993
SM4 429%326
SM4 5165%15145
SM4 6102%989
SM5 178%770
SM5 2153%14120
SM5 396%957
SM5 448%419
SM6 0176%1696
SM6 758%528
SM6 834%327
SM6 960%651
SW10 0102%9119
SW10 9207%19158
SW11 1437%40306
SW11 2249%23200
SW11 383%879
SW11 4181%17118
SW11 5132%12131
SW11 661%640
SW12 088%840
SW12 896%978
SW12 9413%38247
SW13 099%948
SW13 8111%1011
SW13 9106%1063
SW14 7106%1057
SW14 865%646
SW15 1188%17145
SW15 2103%986
SW15 3166%15117
SW15 4118%1194
SW15 568%656
SW15 6117%1169
SW16 1246%23180
SW16 2108%10115
SW16 3388%36238
SW16 4139%13128
SW16 597%9106
SW16 6129%12125
SW17 0161%15290
SW17 691%87
SW17 7197%18197
SW17 886%892
SW17 9171%16185
SW18 1126%12123
SW18 2102%970
SW18 378%767
SW18 4201%18213
SW18 552%545
SW19 1197%18180
SW19 2149%14145
SW19 354%557
SW19 470%657
SW19 5118%1155
SW19 667%647
SW19 794%954
SW19 8136%12156
SW1A 01501%13866
SW1A 1138%1387
SW1A 2301%28390
SW1E 5372%34247
SW1E 6207%19161
SW1H 0104%1092
SW1H 924%231
SW1P 1182%17206
SW1P 261%6105
SW1P 356%593
SW1P 462%670
SW1V 1783%72547
SW1V 2277%25128
SW1V 3109%1062
SW1V 4143%1350
SW1W 066%664
SW1W 8269%25143
SW1W 9424%39396
SW1X 0118%1127
SW1X 7245%22190
SW1X 869%628
SW1X 995%947
SW1Y 4228%21154
SW1Y 553%540
SW1Y 6326%30186
SW2 1374%34206
SW2 293%963
SW2 385%870
SW2 4141%1386
SW2 5149%14116
SW20 090%859
SW20 890%863
SW20 989%846
SW3 1374%34312
SW3 2103%961
SW3 3136%1275
SW3 4343%32182
SW3 5202%1996
SW3 6141%1388
SW4 0198%18100
SW4 6353%32212
SW4 7818%75409
SW4 862%627
SW4 9203%19121
SW5 0265%24155
SW5 9481%44309
SW6 1226%21167
SW6 2153%14159
SW6 3123%1197
SW6 4139%1394
SW6 5249%23133
SW6 691%866
SW6 7123%1188
SW7 1306%28143
SW7 2290%27281
SW7 3495%45202
SW7 4436%40229
SW7 5200%18146
SW8 1196%18182
SW8 2130%12110
SW8 3291%27153
SW8 4149%14110
SW8 5118%1153
SW9 0192%18119
SW9 6140%1379
SW9 7268%25201
SW9 8744%68398
SW9 9219%20169
TN16 2600%55129
TN16 382%871
TW1 1101%960
TW1 265%626
TW1 3124%1174
TW1 470%648
TW10 588%821
TW10 6100%972
TW10 758%531
TW11 037%324
TW11 868%654
TW11 985%853
TW12 164%638
TW12 250%536
TW12 346%422
TW13 4113%10123
TW13 569%647
TW13 6156%14104
TW13 779%746
TW14 0116%11110
TW14 882%784
TW14 984%868
TW2 595%963
TW2 647%432
TW2 788%871
TW3 1340%31346
TW3 274%747
TW3 3253%23235
TW3 488%865
TW4 5100%979
TW4 6105%1078
TW4 7106%1081
TW5 0198%18179
TW5 9146%13215
TW6 21304%120424
TW6 3375%3470
TW7 476%747
TW7 5124%11152
TW7 688%888
TW7 7128%1283
TW8 088%873
TW8 8114%1064
TW8 987%886
TW9 1253%23187
TW9 2199%18116
TW9 3150%1460
TW9 4103%957
UB1 1175%16162
UB1 258%574
UB1 3109%10111
UB10 0197%18157
UB10 8130%12110
UB10 949%438
UB11 11081%9914
UB2 487%8124
UB2 5106%10162
UB3 163%691
UB3 2140%13141
UB3 3150%14128
UB3 4172%16147
UB3 5230%21165
UB4 0102%994
UB4 854%554
UB4 9256%24216
UB5 4103%9107
UB5 5109%1099
UB5 6140%13178
UB6 087%884
UB6 757%543
UB6 8154%14230
UB6 976%783
UB7 037%3137
UB7 7173%16127
UB7 888%873
UB7 9132%1290
UB8 1315%29408
UB8 264%6118
UB8 389%8156
UB9 649%536
W10 481%761
W10 5131%12167
W10 6151%14148
W11 1354%33278
W11 2354%33214
W11 3543%50274
W11 4158%14141
W12 090%8132
W12 7203%19489
W12 8526%48482
W12 9126%12113
W13 0160%15117
W13 878%742
W13 9104%1099
W14 099%991
W14 8186%17206
W14 9121%11131
W1B 1138%1323
W1B 2200%1878
W1B 311531%105990
W1B 42060%189181
W1B 52070%190474
W1C 13591%330184
W1C 21724%15888
W1D 14984%458297
W1D 215165%1393188
W1D 3959%88426
W1D 42222%204571
W1D 51458%134457
W1D 61650%152726
W1D 71274%117418
W1F 0896%82492
W1F 7770%71627
W1F 8323%30226
W1F 9354%33235
W1G 01599%147178
W1G 677%724
W1G 776%717
W1G 837%314
W1G 915%116
W1H 163%620
W1H 2158%1520
W1H 4109%1024
W1H 5316%2991
W1H 6619%57178
W1H 7331%30155
W1J 0374%3491
W1J 588%844
W1J 699%954
W1J 7292%27194
W1J 8189%1770
W1K 1545%5087
W1K 2146%1372
W1K 334%320
W1K 489%821
W1K 5436%40148
W1K 6764%70185
W1K 7811%74202
W1S 1419%38429
W1S 2151%1490
W1S 3262%2453
W1S 4302%28168
W1T 1445%41462
W1T 2460%42185
W1T 3367%34191
W1T 4208%19126
W1T 5301%28200
W1T 663%613
W1T 7533%49148
W1U 11062%98466
W1U 2423%39118
W1U 3138%1361
W1U 4361%3372
W1U 5259%2474
W1U 6990%91272
W1U 7326%30101
W1U 850%520
W1W 5335%31104
W1W 6185%17128
W1W 794%954
W1W 8871%80449
W2 1355%33669
W2 2673%62448
W2 3697%64428
W2 4522%48366
W2 5171%16139
W2 6134%12182
W3 0143%13106
W3 6123%11147
W3 7143%13168
W3 894%9104
W3 9354%32209
W4 1131%1295
W4 292%885
W4 3132%1295
W4 4107%1059
W4 5121%11140
W5 171%755
W5 2194%18204
W5 3123%11106
W5 4165%15144
W5 5321%29240
W6 0193%18279
W6 7118%11129
W6 8180%17210
W6 9227%21307
W7 183%860
W7 267%640
W7 3100%977
W8 4303%28174
W8 5193%18192
W8 6204%19130
W8 7133%1281
W9 1155%14118
W9 2138%13108
W9 3104%10103
WC1A 11697%156367
WC1A 2558%51169
WC1B 3302%28255
WC1B 4176%1627
WC1B 5542%5094
WC1E 6177%16121
WC1E 7240%22125
WC1H 0296%27175
WC1H 8369%34138
WC1H 9270%25231
WC1N 1627%58322
WC1N 279%732
WC1N 3118%11130
WC1R 4147%1399
WC1R 5117%1146
WC1V 6445%41130
WC1V 7224%2151
WC1X 091%836
WC1X 8406%37208
WC1X 9312%29141
WC2A 186%833
WC2A 2612%5638
WC2A 3103%971
WC2B 4352%32142
WC2B 5154%14224
WC2B 63171%291212
WC2E 7142%13167
WC2E 8764%70162
WC2E 9562%52344
WC2H 01901%175381
WC2H 73053%2801070
WC2H 8476%44212
WC2H 9418%38366
WC2N 4428%39225
WC2N 5211%19237
WC2N 6709%65366
WC2R 01153%106243
WC2R 175%728
WC2R 2693%6443
WC2R 3135%1242

London other theft crime rate rank

Other theft crime rate is 15.2 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

15.2

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 132k, and this number has increased by 15.2% when compared year-over-year in the period of September 2018 - August 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 September 2018 - August 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.

15.2%

annual change

15.2

annual crime rate per 1k workday people

132k

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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