London shoplifting crime statistics

As of June 2026, the annual crime rate in London stands at 10.4 crimes per 1000 people. London's current crime levels are at 124% of the national crime rate. Shoplifting crime makes up 8.0% of all crimes reported in the region. Shoplifting crime totalled 90.4k representing an increase 0.8% year-over-year.

London shoplifting crime statistics Breakdown: Rate, Share, Volume, and Annual Change Compared to England & Wales
Londoncrime statisticEngland & Wales
10.4annual crime rate per 1k workday people8.4
124%ratio of national crime rate100%
8.0% share of all crimes8.4%
90.4kcrimes reported473k
0.8%annual change-3.3%

London shoplifting crime rate comparison map

London shoplifting crime rate comparison map
Postcode sectorCrime rate vs. ENG & WLS rateCrime rate per 1000 workday peopleTotal number of crimes
BR1 1631%53535
BR1 26%05
BR1 3121%10116
BR1 4219%19197
BR1 5285%24296
BR2 017%113
BR2 65%01
BR2 726%215
BR2 816%112
BR2 939%341
BR3 1296%25196
BR3 396%894
BR3 448%444
BR3 553%420
BR3 69%13
BR4 0174%15113
BR4 944%428
BR5 176%657
BR5 243%441
BR5 3249%21222
BR5 48%16
BR6 0271%23236
BR6 648%421
BR6 77%15
BR6 8127%1181
BR6 958%552
BR7 540%319
BR7 694%868
CR0 057%572
CR0 1462%39737
CR0 2111%9196
CR0 3259%22366
CR0 4128%11249
CR0 51%01
CR0 6192%16257
CR0 718%117
CR0 8323%27251
CR0 99%16
CR2 014%19
CR2 6110%992
CR2 862%545
CR2 99%14
CR4 123%223
CR4 239%331
CR4 318%221
CR4 41%01
CR5 12%01
CR5 2153%13113
CR7 6124%1172
CR7 79%111
CR7 870%682
CR8 2140%1293
CR8 45%02
CR8 5174%1589
DA1 4122%10110
DA14 41%01
DA14 584%751
DA14 6127%1192
DA15 763%528
DA15 841%336
DA15 949%426
DA16 1290%24212
DA16 215%112
DA16 379%752
DA17 590%855
DA17 6347%29226
DA5 113%16
DA5 26%02
DA5 335%317
DA6 7424%36267
DA6 834%316
DA7 478%765
DA7 584%755
DA7 64%03
DA8 155%554
DA8 295%879
DA8 315%111
E1 034%327
E1 1214%18158
E1 260%547
E1 32%01
E1 4289%24428
E1 567%658
E1 6156%13284
E1 754%598
E1 868%6113
E10 549%455
E10 621%229
E10 7105%9113
E11 1856%72694
E11 2417%35317
E11 393%888
E11 4115%10114
E12 595%8106
E12 615%125
E13 0191%16225
E13 818%221
E13 994%8114
E14 067%659
E14 2238%2034
E14 372%674
E14 4156%13245
E14 541%3233
E14 6213%18174
E14 7112%9108
E14 814%121
E14 948%4109
E15 1140%12173
E15 21546%1311456
E15 350%448
E15 4351%30394
E16 1689%58583
E16 247%444
E16 351%449
E16 421%221
E17 338%338
E17 47%19
E17 524%228
E17 699%8118
E17 7334%28273
E17 835%335
E17 934%330
E18 1489%41245
E18 27%15
E1W 1137%1262
E1W 2418%35186
E1W 33%01
E2 0196%17156
E2 6121%1070
E2 7165%14109
E2 8152%1398
E2 9293%25220
E3 2114%10108
E3 3150%13136
E3 4131%11132
E3 589%874
E4 614%114
E4 747%444
E4 8325%27330
E4 956%565
E5 085%786
E5 8174%15169
E5 9142%12153
E6 197%8121
E6 2157%13204
E6 325%234
E6 535%335
E6 6186%16232
E7 0173%15155
E7 847%475
E7 92%02
E8 1341%29276
E8 2303%26215
E8 3162%14122
E8 455%538
E9 5135%11134
E9 6178%15189
E9 7264%22220
EC1A 26%02
EC1A 71%01
EC1A 9430%36128
EC1M 31107%9394
EC1M 551%425
EC1M 699%849
EC1N 74%02
EC1N 8378%32264
EC1R 4328%28110
EC1R 579%716
EC1V 1173%1516
EC1V 2201%1750
EC1V 348%414
EC1V 4132%1143
EC1V 79%13
EC1V 9539%45319
EC1Y 11910%161194
EC1Y 810%111
EC2A 1158%1328
EC2A 2110%918
EC2A 316%112
EC2A 412%115
EC2M 3155%1331
EC2M 4126%11139
EC2M 5326%2865
EC2M 775%660
EC2V 6207%18102
EC2V 891%826
EC2Y 51%01
EC2Y 885%7127
EC2Y 933%311
EC3A 5129%1170
EC3A 710%13
EC3N 136%322
EC3N 2107%986
EC3N 436%318
EC3R 513%17
EC3R 755%520
EC3R 83%03
EC3V 0150%1387
EC3V 315%16
EC3V 9311%2662
EC4A 12%02
EC4M 737%316
EC4M 91051%89255
EC4N 5106%99
EC4R 022%231
EC4R 112%11
EC4V 4131%1119
EC4V 52%02
EC4V 6105%935
EC4Y 1137%1231
EN1 1386%33425
EN1 223%211
EN1 3540%46571
EN1 423%221
EN2 066%640
EN2 6289%24145
EN2 728%214
EN2 88%16
EN2 921%24
EN3 496%891
EN3 548%454
EN3 617%123
EN3 710%112
EN4 084%735
EN4 895%875
EN4 94%02
EN5 1172%1588
EN5 229%230
EN5 321%25
EN5 5103%965
HA0 1234%20224
HA0 251%444
HA0 352%435
HA0 433%331
HA1 1348%29276
HA1 283%768
HA1 3122%10162
HA1 4111%998
HA2 042%433
HA2 670%632
HA2 77%14
HA2 8161%14129
HA2 933%330
HA3 088%769
HA3 558%541
HA3 6189%16132
HA3 7201%17158
HA3 82%02
HA3 97%17
HA4 0434%37301
HA4 617%113
HA4 7144%1299
HA4 837%320
HA4 934%321
HA5 1178%15103
HA5 2107%957
HA5 3100%873
HA5 4165%1492
HA5 5253%21132
HA6 165%645
HA6 2159%13126
HA7 134%320
HA7 249%430
HA7 477%759
HA8 0236%20203
HA8 529%224
HA8 631%322
HA8 7349%29185
HA8 817%116
HA8 924%218
HA9 0288%24166
HA9 634%330
HA9 7555%47371
HA9 891%893
HA9 942%436
IG1 1288%24403
IG1 234%351
IG1 32%02
IG1 483%789
IG11 020%225
IG11 748%460
IG11 8330%28332
IG11 910%113
IG2 662%559
IG2 7165%14156
IG3 860%585
IG3 910%112
IG4 53%02
IG5 0149%13158
IG6 197%864
IG6 2236%20199
IG6 35%03
IG7 454%529
IG8 013%18
IG8 79%15
IG8 841%323
IG8 92%01
KT1 11161%98982
KT1 250%449
KT1 311%19
KT1 44%01
KT2 529%226
KT2 656%539
KT2 712%111
KT3 382%771
KT3 4136%1285
KT3 58%15
KT3 68%16
KT4 895%899
KT5 828%217
KT5 938%323
KT6 4395%33174
KT6 613%16
KT6 757%551
KT8 960%522
KT9 153%436
KT9 228%223
N1 0295%25293
N1 1600%51388
N1 2527%44463
N1 383%740
N1 49%15
N1 5166%14105
N1 684%774
N1 79%19
N1 876%658
N1 9158%13232
N10 1212%18119
N10 22%01
N10 3197%17126
N11 1687%58614
N11 216%111
N11 3124%1071
N12 092%857
N12 8108%965
N12 9125%1169
N13 491%872
N13 551%441
N13 65%02
N14 418%213
N14 5183%15118
N14 686%745
N15 350%434
N15 4612%52543
N15 543%431
N15 68%17
N16 041%322
N16 573%683
N16 790%861
N16 8254%21194
N16 924%29
N17 036%338
N17 69%112
N17 759%540
N17 818%212
N17 9132%11149
N18 17%19
N18 2129%11177
N18 3202%179
N19 3435%37354
N19 4109%969
N19 5138%12133
N1C 42015%170213
N2 02%01
N2 85%02
N2 9173%1591
N20 015%111
N20 9189%1672
N21 139%321
N21 27%13
N21 346%423
N22 5108%992
N22 6612%52673
N22 85%03
N3 142%429
N3 276%660
N3 316%18
N4 1161%14141
N4 2123%10189
N4 3114%1086
N4 46%02
N5 130%323
N5 27%15
N6 48%13
N6 5220%19140
N6 6108%925
N7 0169%14134
N7 6269%23141
N7 733%320
N7 8226%19185
N7 9115%10103
N8 075%652
N8 776%645
N8 8286%24170
N8 935%321
N9 0206%17209
N9 76%04
N9 810%18
N9 94%04
NW1 032%335
NW1 111%111
NW1 229%245
NW1 329%227
NW1 4255%22135
NW1 5134%1155
NW1 6207%17186
NW1 7227%19200
NW1 8140%12128
NW1 9102%981
NW10 0219%19205
NW10 120%213
NW10 2140%1298
NW10 32%01
NW10 4278%23204
NW10 5104%982
NW10 66%14
NW10 7102%9167
NW10 815%115
NW10 99%17
NW11 0205%1788
NW11 659%525
NW11 753%425
NW11 8470%40216
NW11 92%01
NW2 1135%1198
NW2 2194%1694
NW2 3117%1062
NW2 498%844
NW2 524%214
NW2 659%553
NW2 775%668
NW3 1434%37161
NW3 2123%10167
NW3 389%853
NW3 4186%1691
NW3 5175%1598
NW3 6241%20141
NW4 1273%23133
NW4 2104%966
NW4 3414%35386
NW4 473%650
NW5 180%768
NW5 2360%30268
NW5 342%419
NW5 42%01
NW6 1230%19145
NW6 291%836
NW6 356%522
NW6 4575%49300
NW6 5104%982
NW6 6501%42309
NW6 7232%20174
NW7 1195%16110
NW7 223%213
NW7 3142%1267
NW8 0123%1061
NW8 6195%1669
NW8 7187%1685
NW8 86%16
NW8 94%02
NW9 0138%12116
NW9 547%465
NW9 694%864
NW9 748%422
NW9 8183%15126
NW9 9282%24203
RM1 1865%73383
RM1 260%527
RM1 3241%20150
RM1 410%19
RM10 731%330
RM10 8138%12128
RM10 910%112
RM11 189%872
RM11 2120%1077
RM11 314%19
RM12 479%780
RM12 5223%19124
RM12 680%752
RM13 7179%15100
RM13 834%321
RM13 9245%21234
RM14 112%18
RM14 2255%22166
RM14 36%13
RM2 5129%1155
RM2 693%834
RM3 0120%10116
RM3 8173%15136
RM3 920%213
RM5 2162%1488
RM5 3118%1078
RM6 4536%45485
RM6 520%214
RM6 640%328
RM7 060%574
RM7 7115%1034
RM7 871%630
RM7 97%13
RM8 118%217
RM8 219%219
RM8 315%111
RM9 4103%986
RM9 510%18
RM9 6152%13123
SE1 051%4119
SE1 144%460
SE1 240%3106
SE1 395%8103
SE1 4144%12134
SE1 5148%12119
SE1 6110%973
SE1 7105%9270
SE1 8171%14215
SE1 931%364
SE10 0251%21208
SE10 890%853
SE10 9476%40372
SE11 479%751
SE11 511%19
SE11 621%211
SE12 033%320
SE12 824%214
SE12 968%638
SE13 5542%46452
SE13 659%569
SE13 7308%26321
SE14 527%226
SE14 6129%1198
SE15 168%641
SE15 292%871
SE15 386%772
SE15 435%318
SE15 5276%23210
SE15 629%223
SE16 213%110
SE16 344%434
SE16 470%630
SE16 5188%1655
SE16 7182%1578
SE17 1276%23139
SE17 2498%42462
SE17 334%326
SE18 158%557
SE18 2121%1074
SE18 318%214
SE18 437%335
SE18 514%110
SE18 6375%32426
SE18 713%111
SE19 128%215
SE19 215%17
SE19 377%653
SE2 04%03
SE2 9143%12137
SE20 7465%39344
SE20 8114%1082
SE21 823%216
SE22 017%19
SE22 8431%36311
SE22 936%316
SE23 1217%18132
SE23 375%651
SE24 018%210
SE24 928%215
SE25 455%543
SE25 5144%1293
SE25 682%768
SE26 4192%16117
SE26 532%320
SE26 63%02
SE27 094%871
SE27 9202%17127
SE28 07%16
SE28 8102%9125
SE3 0340%29165
SE3 727%213
SE3 815%19
SE3 9101%952
SE4 112%111
SE4 2165%14123
SE5 0433%37291
SE5 715%112
SE5 880%792
SE5 99%113
SE6 19%19
SE6 2110%9117
SE6 3164%14131
SE6 4289%24243
SE7 7226%19222
SE7 8245%21172
SE8 3256%22163
SE8 4248%21145
SE8 5241%20157
SE9 1172%15129
SE9 2259%22201
SE9 39%17
SE9 4139%12105
SE9 547%426
SE9 6288%24182
SM1 1406%34277
SM1 27%16
SM1 33%03
SM1 458%547
SM2 58%18
SM2 62%01
SM3 823%214
SM3 997%886
SM4 48%17
SM4 5226%19183
SM4 64%03
SM5 124%220
SM5 2377%32272
SM5 3353%30192
SM6 0198%1799
SM6 794%842
SM6 829%221
SM6 9173%15135
SW10 080%786
SW10 9374%32262
SW11 1558%47359
SW11 268%650
SW11 395%884
SW11 447%428
SW11 538%335
SW11 631%319
SW12 014%16
SW12 840%330
SW12 9856%72471
SW13 022%210
SW13 918%210
SW14 7117%1058
SW14 818%212
SW15 1371%31263
SW15 264%549
SW15 356%536
SW15 415%111
SW15 511%18
SW15 6133%1172
SW16 1409%35275
SW16 232%331
SW16 335%320
SW16 4355%30300
SW16 544%444
SW16 676%668
SW17 085%7141
SW17 7202%17186
SW17 83%03
SW17 9201%17200
SW18 1147%12132
SW18 241%326
SW18 310%18
SW18 4215%18210
SW18 590%872
SW19 1197%17166
SW19 2206%17184
SW19 310%110
SW19 420%215
SW19 5105%945
SW19 65%03
SW19 7238%20126
SW19 8201%17212
SW1A 0470%4019
SW1A 13%02
SW1A 213%116
SW1E 5512%43312
SW1E 624%217
SW1H 021%217
SW1P 168%671
SW1P 237%359
SW1P 410%110
SW1V 169%644
SW1V 2129%1155
SW1V 377%640
SW1W 010%19
SW1W 8286%24140
SW1W 986%774
SW1X 0137%1229
SW1X 738%327
SW1X 816%16
SW1X 9192%1687
SW1Y 429%218
SW1Y 51%01
SW1Y 6238%20125
SW2 169%635
SW2 223%214
SW2 3122%1092
SW2 4130%1173
SW2 541%329
SW20 0174%15105
SW20 8106%968
SW20 919%29
SW3 1409%35314
SW3 2155%1384
SW3 3221%19112
SW3 4209%18102
SW3 553%423
SW3 610%16
SW4 0381%32177
SW4 662%534
SW4 7814%69374
SW4 840%316
SW4 918%210
SW5 9220%19130
SW6 1266%22181
SW6 236%334
SW6 31%01
SW6 4124%1077
SW6 5144%1271
SW6 610%17
SW6 762%541
SW7 12%01
SW7 28%17
SW7 337%314
SW7 4108%952
SW7 515%110
SW8 1434%37370
SW8 2237%20184
SW8 381%739
SW8 4125%1185
SW8 5383%32158
SW9 032%318
SW9 633%317
SW9 781%756
SW9 81137%96559
SW9 9234%20166
TN16 215%13
TN16 368%654
TW1 120%211
TW1 224%29
TW1 3252%21138
TW1 48%15
TW10 555%512
TW10 611%17
TW10 716%18
TW11 8117%1085
TW11 951%429
TW12 1321%27176
TW12 247%431
TW12 387%738
TW13 4289%24288
TW13 524%215
TW13 687%753
TW13 74%02
TW14 024%221
TW14 824%223
TW14 922%216
TW2 5103%963
TW2 643%427
TW2 780%759
TW3 11013%86948
TW3 3109%993
TW3 44%03
TW4 5101%873
TW4 66%04
TW4 741%329
TW5 0219%18182
TW5 958%578
TW6 227%28
TW6 3186%1632
TW7 437%321
TW7 524%227
TW7 622%220
TW7 787%752
TW8 046%435
TW8 8282%24146
TW8 949%445
TW9 1388%33263
TW9 217%19
TW9 311%14
TW9 4147%1275
UB1 1194%16165
UB1 27%18
UB1 361%557
UB10 0101%974
UB10 812%19
UB10 910%17
UB11 1168%142
UB2 4275%23358
UB2 5124%10174
UB3 17%19
UB3 281%775
UB3 3764%65599
UB3 4393%33309
UB3 548%432
UB4 071%660
UB4 827%225
UB4 9181%15140
UB5 430%329
UB5 537%331
UB5 625%229
UB6 099%888
UB6 73%02
UB6 884%7115
UB6 9193%16194
UB7 02%06
UB7 7418%35282
UB7 816%112
UB7 916%110
UB8 1366%31436
UB8 230%351
UB8 311%118
UB9 625%217
W10 464%544
W10 536%342
W10 6190%16171
W11 1180%15130
W11 2209%18116
W11 3271%23126
W11 41297%1091067
W12 01%02
W12 7166%14369
W12 8921%78776
W12 9195%16160
W13 0151%13102
W13 849%424
W13 996%884
W14 07%16
W14 835%336
W14 926%226
W1B 284%730
W1B 4668%5654
W1B 51102%93232
W1C 12759%233130
W1C 2128%116
W1D 218861%1593215
W1D 386%735
W1D 4135%1132
W1D 566%619
W1D 65%02
W1D 7116%1035
W1F 0159%1380
W1F 7680%57509
W1F 8196%17126
W1F 9129%1179
W1G 0518%4453
W1G 6133%1138
W1G 861%521
W1H 114%14
W1H 252%46
W1H 5314%2683
W1H 664%517
W1H 7667%56287
W1J 0322%2772
W1J 52%01
W1J 670%635
W1J 715%19
W1J 86%02
W1K 213%16
W1K 315%18
W1K 423%25
W1K 5423%36132
W1K 6845%71188
W1K 748%411
W1S 1477%40449
W1S 2108%959
W1S 3452%3884
W1S 4237%20121
W1T 165%562
W1T 2470%40174
W1T 3140%1267
W1T 425%214
W1T 5105%964
W1T 7599%51153
W1U 12130%180859
W1U 2164%1442
W1U 337%315
W1U 4792%67145
W1U 584%722
W1U 6416%35105
W1U 735%310
W1W 594%827
W1W 646%429
W1W 711%16
W1W 8357%30169
W2 176%6132
W2 2165%14101
W2 3214%18121
W2 4116%1075
W2 531%323
W2 6102%9128
W3 085%758
W3 6145%12160
W3 7180%15195
W3 871%672
W3 974%640
W4 1148%1399
W4 241%335
W4 344%429
W4 4267%23135
W4 5100%8106
W5 121%215
W5 2258%22249
W5 362%549
W5 464%551
W5 5362%31249
W6 095%8126
W6 741%341
W6 871%676
W6 9479%40596
W7 118%212
W7 24%02
W7 371%650
W8 4182%1596
W8 565%559
W8 6239%20140
W8 750%428
W9 157%540
W9 2253%21182
W9 3452%38412
WC1A 196%819
WC1A 254%515
WC1B 3216%18168
WC1B 5125%1120
WC1E 6114%1072
WC1E 725%212
WC1H 06%03
WC1H 89%13
WC1H 918%214
WC1N 178%737
WC1N 36%06
WC1R 48%15
WC1R 56%02
WC1V 671%619
WC1V 7774%65162
WC1X 030%311
WC1X 8147%1269
WC1X 912%15
WC2A 111%14
WC2A 218%11
WC2A 322%214
WC2B 56%18
WC2B 61106%9368
WC2E 77%18
WC2E 8615%52120
WC2E 9471%40265
WC2H 0656%55121
WC2H 740%313
WC2H 898%840
WC2H 9383%32309
WC2N 4227%19110
WC2N 569%671
WC2N 663%530
WC2R 0485%4194
WC2R 37%12

London shoplifting crime rate rank

Crime rate ranking : London has the 2. highest crime rate out of 9 regions

London shoplifting crime rate rank

London shoplifting crime rate compared to other regions

Shoplifting crime totalled 90.4k representing an increase 0.8% year-over-year. 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 June 2025 - May 2026 to the region crime rate in the previous 12 months. The size of the circle reflects the number of total crimes reported. The bigger the circle, the higher the number of crimes reported in the region.

+0.8% annual change, crime is increasing

90.4k crimes reported

London shoplifting crime rate compared to other regionsCrime rate percentage change
Crime rate per 1000 workday people

London shoplifting crime volume

Number of crime incidents by month from January 2014 to May 2026.

London shoplifting crime volume

London shoplifting crime rate

Crime rate per 1000 workday people compared to the national crime rate by year.

London shoplifting crime rate

London shoplifting crime seasonality

Total number of crimes reported in a given calendar month (1 = January … 12 = December) in the previous five years, i.e. from 2020 till 2024.

London shoplifting crime seasonality

Plumplot area insights - interactive charts and maps

Plumplot area insights - interactive maps and charts

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For details, click on the crime name with '→'

Crime Statistics Detail for London
Antisocial behaviour crime →
Bicycle theft crime →
Burglary crime →
Criminal damage and arson crime →
Drugs crime →
Other crime →
Other theft crime →
Possession of weapons crime →
Public order crime →
Robbery crime →
Shoplifting crime →
Theft from the person crime →
Vehicle crime →
Violent crime →

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