London shoplifting crime statistics

Annual crime rate in London region is 10.1 crimes per 1000 people. Compared to the national crime rate, London's rate is at 121% as of January 2026.Shoplifting crime makes up 7.7% of all crimes reported in the region. The total number of "shoplifting crime" is 87.7k, and this number has increased by 6.4% when compared year-over-year in the period of December 2024 - November 2025.

London shoplifting crime statistics Breakdown: Rate, Share, Volume, and Annual Change Compared to England & Wales
London regioncrime statisticEngland & Wales
10.1annual crime rate per 1k workday people8.4
121%ratio of national crime rate100%
7.7% share of all crimes8.3%
87.7kcrimes reported469k
6.4%annual change-0.2%

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 1640%54539
BR1 214%112
BR1 3163%14156
BR1 462%555
BR1 586%789
BR2 031%324
BR2 65%01
BR2 719%211
BR2 821%216
BR2 961%564
BR3 1298%25196
BR3 357%555
BR3 424%222
BR3 5106%940
BR3 66%12
BR4 0113%973
BR4 947%430
BR5 1144%12108
BR5 224%223
BR5 3303%25268
BR5 46%04
BR6 0293%25254
BR6 660%526
BR6 73%02
BR6 8105%966
BR6 9100%889
BR7 513%16
BR7 6113%981
CR0 057%571
CR0 1373%31591
CR0 2162%14285
CR0 3123%10172
CR0 4190%16367
CR0 52%02
CR0 6214%18284
CR0 725%224
CR0 8274%23212
CR0 920%213
CR2 018%111
CR2 642%435
CR2 872%652
CR2 911%15
CR4 123%222
CR4 2119%1094
CR4 324%228
CR4 42%02
CR5 13%02
CR5 2159%13117
CR7 6113%965
CR7 76%07
CR7 875%688
CR8 2116%1077
CR8 43%01
CR8 5165%1484
DA1 4112%9101
DA14 5110%966
DA14 6167%14120
DA15 7107%947
DA15 849%443
DA15 933%317
DA16 1348%29253
DA16 215%112
DA16 360%539
DA17 572%644
DA17 6365%31236
DA5 132%315
DA5 26%02
DA5 331%315
DA6 7405%34253
DA6 855%526
DA7 4168%14138
DA7 592%860
DA7 65%03
DA8 171%669
DA8 2135%11112
DA8 316%111
E1 026%220
E1 1241%20177
E1 286%766
E1 32%01
E1 4285%24420
E1 569%659
E1 6146%12264
E1 755%599
E1 878%7129
E10 562%569
E10 619%226
E10 7104%9112
E11 1767%64618
E11 2218%18165
E11 389%784
E11 474%673
E12 565%572
E12 69%116
E13 0324%27379
E13 816%118
E13 982%799
E14 019%217
E14 278%711
E14 349%450
E14 4150%13233
E14 537%3209
E14 6130%11105
E14 779%776
E14 813%120
E14 946%4103
E15 1221%19270
E15 21402%1181311
E15 330%329
E15 4608%51677
E16 1809%68679
E16 244%441
E16 343%441
E16 411%111
E17 345%444
E17 411%114
E17 531%336
E17 6111%9131
E17 7274%23222
E17 829%229
E17 932%328
E18 1299%25149
E18 248%433
E1W 1115%1052
E1W 2421%35186
E1W 33%01
E2 0164%14129
E2 689%751
E2 7133%1187
E2 8170%14109
E2 9193%16144
E3 270%666
E3 3148%12133
E3 458%558
E3 5136%11112
E4 618%219
E4 770%665
E4 8555%46559
E4 977%689
E5 064%564
E5 8108%9104
E5 970%675
E6 191%8113
E6 2164%14212
E6 331%342
E6 539%339
E6 6221%18273
E7 0182%15162
E7 859%593
E7 94%05
E8 1280%23225
E8 2318%27224
E8 3138%12103
E8 438%326
E9 596%895
E9 6198%17208
E9 7196%16162
EC1A 985%725
EC1M 31707%143144
EC1M 566%632
EC1M 616%18
EC1N 72%01
EC1N 8135%1194
EC1R 4132%1144
EC1R 520%24
EC1V 1304%2628
EC1V 228%27
EC1V 327%28
EC1V 4111%936
EC1V 712%14
EC1V 9658%55387
EC1Y 010%12
EC1Y 1496%4250
EC1Y 813%114
EC2A 1154%1327
EC2A 219%23
EC2A 367%650
EC2A 47%19
EC2M 15%02
EC2M 3212%1842
EC2M 4106%9116
EC2M 5358%3071
EC2M 7103%982
EC2V 6278%23136
EC2V 8120%1034
EC2Y 870%6104
EC2Y 921%27
EC3A 5154%1383
EC3A 711%13
EC3N 1102%962
EC3N 214%111
EC3N 422%211
EC3R 517%19
EC3R 82%02
EC3V 0203%17117
EC3V 320%28
EC3V 9323%2764
EC4A 11%01
EC4M 735%315
EC4M 9901%76217
EC4N 5119%1010
EC4R 032%345
EC4R 112%11
EC4V 442%36
EC4V 52%02
EC4V 679%726
EC4Y 1164%1437
EN1 1467%39511
EN1 213%16
EN1 3434%36456
EN1 47%16
EN2 070%642
EN2 6209%18104
EN2 722%211
EN2 85%04
EN2 922%24
EN3 4142%12133
EN3 5116%10130
EN3 612%116
EN3 713%115
EN4 0137%1257
EN4 882%764
EN4 96%03
EN5 1195%1699
EN5 211%111
EN5 330%27
EN5 5106%966
HA0 1172%14164
HA0 248%441
HA0 337%325
HA0 428%226
HA1 1384%32303
HA1 291%874
HA1 370%692
HA1 4191%16167
HA2 060%547
HA2 633%315
HA2 73%02
HA2 8143%12114
HA2 938%334
HA3 075%658
HA3 571%650
HA3 6140%1297
HA3 7146%12114
HA3 82%02
HA3 94%04
HA4 0463%39319
HA4 623%217
HA4 7128%1187
HA4 862%533
HA4 959%536
HA5 1158%1391
HA5 2131%1169
HA5 355%540
HA5 4267%22148
HA5 5176%1591
HA6 160%541
HA6 2212%18166
HA7 138%322
HA7 235%321
HA7 433%325
HA8 0168%14143
HA8 538%331
HA8 629%221
HA8 7361%30190
HA8 813%112
HA8 931%323
HA9 0278%23159
HA9 646%440
HA9 7678%57450
HA9 8128%11130
HA9 949%442
IG1 1284%24395
IG1 226%239
IG1 33%03
IG1 460%563
IG11 027%233
IG11 740%350
IG11 8354%30354
IG11 96%07
IG2 656%553
IG2 7116%10109
IG3 844%462
IG3 910%112
IG4 56%04
IG5 0162%14171
IG6 172%647
IG6 2256%21214
IG6 37%14
IG7 432%317
IG8 047%429
IG8 75%03
IG8 8103%958
IG8 94%02
IG9 63%01
KT1 11224%1031028
KT1 282%780
KT1 318%215
KT1 424%26
KT2 526%223
KT2 6105%973
KT2 728%225
KT3 382%770
KT3 4152%1394
KT3 55%03
KT3 620%215
KT4 897%8100
KT5 813%18
KT5 98%15
KT6 4190%1683
KT6 616%17
KT6 755%549
KT8 961%522
KT9 155%537
KT9 228%223
N1 0347%29342
N1 1436%37280
N1 2368%31321
N1 365%531
N1 411%16
N1 5136%1185
N1 650%444
N1 713%112
N1 8104%979
N1 9120%10175
N10 1184%15103
N10 24%02
N10 3180%15114
N11 1623%52553
N11 218%212
N11 3122%1069
N12 0100%862
N12 8179%15107
N12 9111%961
N13 4322%27254
N13 557%545
N13 62%01
N14 413%19
N14 5310%26199
N14 673%638
N15 352%435
N15 4622%52548
N15 549%435
N15 620%218
N16 043%423
N16 5210%18236
N16 62%02
N16 752%435
N16 8185%15140
N16 98%13
N17 042%444
N17 610%114
N17 745%430
N17 814%19
N17 9138%12155
N18 12%03
N18 276%6103
N18 3203%179
N19 3381%32308
N19 4102%964
N19 5115%10110
N1C 41505%126158
N2 85%02
N2 9174%1591
N20 010%17
N20 9161%1461
N21 117%19
N21 27%13
N21 334%317
N22 583%770
N22 6743%62812
N22 71%01
N3 160%541
N3 246%436
N3 36%13
N4 1100%887
N4 2102%9156
N4 3116%1087
N4 43%01
N5 128%221
N5 27%15
N6 48%13
N6 5214%18135
N6 6105%924
N7 0142%12112
N7 6553%46288
N7 732%319
N7 8188%16153
N7 9100%889
N8 074%651
N8 727%216
N8 8166%1498
N8 966%640
N9 0185%15186
N9 77%15
N9 825%221
N9 95%06
NW1 035%338
NW1 14%04
NW1 210%116
NW1 334%332
NW1 4262%22138
NW1 5150%1361
NW1 6112%9100
NW1 7227%19198
NW1 8311%26282
NW1 982%765
NW10 0336%28312
NW10 120%213
NW10 2163%14114
NW10 32%01
NW10 4285%24208
NW10 5124%1097
NW10 63%02
NW10 7118%10192
NW10 818%117
NW10 911%18
NW11 0315%26134
NW11 617%17
NW11 747%422
NW11 8307%26140
NW11 95%03
NW2 1104%975
NW2 2264%22127
NW2 391%848
NW2 478%735
NW2 519%211
NW2 641%336
NW2 791%882
NW3 1505%42186
NW3 2131%11176
NW3 383%749
NW3 4231%19112
NW3 5184%15102
NW3 6353%30205
NW4 1219%18106
NW4 2102%964
NW4 3391%33362
NW4 499%867
NW5 1151%13127
NW5 2311%26230
NW5 340%318
NW5 47%14
NW6 1183%15115
NW6 2112%944
NW6 3139%1254
NW6 4492%41255
NW6 5105%982
NW6 6247%21151
NW6 7137%11102
NW7 1166%1493
NW7 220%211
NW7 3141%1266
NW8 0138%1268
NW8 6287%24101
NW8 7217%1898
NW8 810%19
NW8 98%14
NW9 0218%18182
NW9 538%352
NW9 673%649
NW9 746%421
NW9 8150%13102
NW9 9471%39336
RM1 1750%63330
RM1 261%527
RM1 3214%18132
RM1 49%18
RM10 767%665
RM10 8122%10112
RM10 911%113
RM11 1100%880
RM11 256%536
RM11 333%321
RM12 463%563
RM12 5218%18120
RM12 699%864
RM13 7227%19126
RM13 842%426
RM13 9138%12131
RM14 112%18
RM14 2402%34260
RM14 338%319
RM2 573%631
RM2 6170%1462
RM3 0173%14166
RM3 8199%17155
RM3 911%17
RM5 2165%1489
RM5 3161%14106
RM6 4488%41438
RM6 524%217
RM6 648%433
RM7 073%689
RM7 7116%1034
RM7 8208%1787
RM7 910%14
RM8 126%224
RM8 213%113
RM8 329%222
RM9 4139%12115
RM9 511%19
RM9 6169%14136
SE1 076%6176
SE1 144%459
SE1 266%6172
SE1 339%342
SE1 4131%11121
SE1 5207%17166
SE1 6105%969
SE1 783%7212
SE1 8138%12172
SE1 934%371
SE10 0292%24240
SE10 850%429
SE10 9523%44406
SE11 439%325
SE11 57%16
SE11 614%17
SE12 035%321
SE12 826%215
SE12 957%532
SE13 5142%12118
SE13 652%460
SE13 7304%25314
SE14 521%220
SE14 6169%14128
SE15 130%318
SE15 266%651
SE15 382%768
SE15 447%424
SE15 5522%44394
SE15 625%220
SE16 220%215
SE16 326%220
SE16 451%422
SE16 5234%2068
SE16 7123%1052
SE17 1238%20119
SE17 2459%38423
SE17 331%324
SE18 146%445
SE18 294%857
SE18 39%17
SE18 448%445
SE18 58%16
SE18 6290%24327
SE18 717%115
SE19 123%212
SE19 213%16
SE19 344%430
SE2 07%15
SE2 9154%13147
SE20 7554%46407
SE20 8269%23192
SE21 814%110
SE22 050%427
SE22 8239%20171
SE22 943%419
SE23 1215%18130
SE23 385%757
SE24 022%212
SE24 926%214
SE25 441%332
SE25 583%753
SE25 679%765
SE26 4208%17126
SE26 534%321
SE26 62%01
SE27 0143%12107
SE27 9165%14103
SE28 01%01
SE28 8138%12168
SE3 0334%28161
SE3 727%213
SE3 810%16
SE3 996%849
SE4 114%113
SE4 2124%1092
SE5 0306%26204
SE5 76%15
SE5 8138%12157
SE5 911%115
SE6 115%115
SE6 285%790
SE6 354%543
SE6 4252%21210
SE7 7143%12140
SE7 8218%18152
SE8 3324%27205
SE8 4361%30209
SE8 5196%16127
SE9 1148%12110
SE9 2165%14127
SE9 310%18
SE9 4112%984
SE9 536%320
SE9 6322%27202
SM1 1475%40322
SM1 24%04
SM1 35%05
SM1 459%547
SM2 514%114
SM2 62%01
SM3 823%214
SM3 9110%997
SM4 46%15
SM4 5220%18177
SM4 64%03
SM5 150%441
SM5 2200%17143
SM5 3315%26170
SM6 0250%21124
SM6 786%738
SM6 832%323
SM6 9191%16148
SW10 051%454
SW10 9334%28232
SW11 1601%50384
SW11 257%542
SW11 3192%16168
SW11 428%217
SW11 5115%10105
SW11 617%110
SW12 022%29
SW12 836%327
SW12 9981%82536
SW13 045%420
SW13 811%11
SW13 920%211
SW14 7152%1375
SW14 820%213
SW15 1390%33274
SW15 264%549
SW15 358%537
SW15 444%432
SW15 58%16
SW15 6124%1067
SW16 1582%49389
SW16 251%450
SW16 363%535
SW16 4437%37367
SW16 5114%10113
SW16 674%666
SW17 0103%9170
SW17 7173%14158
SW17 84%04
SW17 9225%19222
SW18 1106%994
SW18 249%431
SW18 34%03
SW18 4202%17196
SW18 568%654
SW19 1389%33325
SW19 2347%29308
SW19 321%220
SW19 431%323
SW19 557%524
SW19 7197%17104
SW19 8169%14177
SW1A 0423%3517
SW1A 12%01
SW1A 224%228
SW1E 5434%36263
SW1E 624%217
SW1H 027%222
SW1P 130%331
SW1P 229%246
SW1P 31%01
SW1P 48%18
SW1V 164%541
SW1V 2111%947
SW1V 373%638
SW1V 43%01
SW1W 05%04
SW1W 8290%24141
SW1W 966%656
SW1X 0105%922
SW1X 762%544
SW1X 860%522
SW1X 9217%1898
SW1Y 426%216
SW1Y 53%02
SW1Y 6190%1699
SW2 152%426
SW2 215%19
SW2 3153%13115
SW2 4144%1280
SW2 547%433
SW20 090%854
SW20 8113%972
SW20 911%15
SW3 1400%34305
SW3 2159%1386
SW3 3177%1589
SW3 4242%20117
SW3 535%315
SW3 611%16
SW4 0214%1899
SW4 669%638
SW4 7986%83450
SW4 825%210
SW4 928%215
SW5 9319%27187
SW6 1299%25202
SW6 244%442
SW6 4101%862
SW6 5117%1057
SW6 612%18
SW6 764%542
SW7 12%01
SW7 211%110
SW7 327%210
SW7 4102%949
SW7 515%110
SW8 1376%31318
SW8 2149%13115
SW8 396%846
SW8 4157%13106
SW8 5366%31150
SW9 025%214
SW9 637%319
SW9 769%647
SW9 8721%60352
SW9 9159%13112
TN16 215%13
TN16 377%661
TW1 139%321
TW1 222%28
TW1 3305%26166
TW1 416%110
TW10 578%717
TW10 612%18
TW10 721%210
TW11 02%01
TW11 8122%1088
TW11 946%426
TW12 1221%18120
TW12 232%321
TW12 323%210
TW13 4302%25299
TW13 518%111
TW13 677%647
TW13 74%02
TW14 037%332
TW14 826%224
TW14 922%216
TW2 5130%1179
TW2 679%749
TW2 799%873
TW3 11043%87969
TW3 25%03
TW3 3101%986
TW3 43%02
TW4 589%764
TW4 61%01
TW4 741%329
TW5 0172%14142
TW5 951%469
TW6 224%27
TW6 3182%1531
TW7 421%212
TW7 534%338
TW7 623%221
TW7 737%322
TW8 040%330
TW8 8522%44268
TW8 947%443
TW9 1417%35281
TW9 215%18
TW9 319%27
TW9 4150%1376
UB1 1240%20203
UB1 23%04
UB1 324%222
UB10 0129%1194
UB10 821%216
UB10 917%112
UB11 1169%142
UB2 4359%30465
UB2 5101%8141
UB3 18%111
UB3 294%886
UB3 3392%33305
UB3 4425%36331
UB3 572%647
UB4 075%663
UB4 819%217
UB4 9113%987
UB5 427%226
UB5 530%325
UB5 619%222
UB6 076%667
UB6 76%04
UB6 870%695
UB6 9111%9111
UB7 02%07
UB7 7418%35280
UB7 85%04
UB7 918%111
UB8 1371%31439
UB8 224%240
UB8 313%120
UB9 642%428
W10 423%216
W10 551%460
W10 6166%14148
W11 1130%1193
W11 2404%34223
W11 3373%31172
W11 41076%90879
W12 03%04
W12 7130%11287
W12 8877%74734
W12 9105%986
W13 0139%1293
W13 898%848
W13 9246%21215
W14 06%15
W14 832%332
W14 954%553
W1B 262%522
W1B 4910%7673
W1B 51353%113283
W1C 12180%183102
W1C 2129%116
W1D 29365%785106
W1D 3108%944
W1D 498%823
W1D 587%725
W1D 7127%1138
W1F 0186%1693
W1F 7514%43382
W1F 8210%18134
W1F 9167%14101
W1G 0433%3644
W1G 695%827
W1G 884%729
W1G 91%01
W1H 17%12
W1H 261%57
W1H 5282%2474
W1H 646%412
W1H 7735%62314
W1J 0288%2464
W1J 52%01
W1J 678%739
W1J 75%03
W1J 824%28
W1K 222%210
W1K 320%211
W1K 428%26
W1K 5435%36135
W1K 6380%3284
W1K 735%38
W1S 1342%29320
W1S 2121%1066
W1S 3444%3782
W1S 4207%17105
W1T 165%562
W1T 2327%27120
W1T 3114%1054
W1T 424%213
W1T 5102%962
W1T 7387%3298
W1U 11915%161767
W1U 2177%1545
W1U 335%314
W1U 41023%86186
W1U 577%620
W1U 6419%35105
W1U 728%28
W1W 553%415
W1W 633%321
W1W 710%15
W1W 8206%1797
W2 194%8162
W2 230%218
W2 3262%22147
W2 4130%1183
W2 551%438
W2 676%694
W3 049%433
W3 6100%8109
W3 781%787
W3 836%336
W3 9256%21138
W4 1102%968
W4 214%112
W4 344%429
W4 4267%22134
W4 592%897
W5 130%221
W5 2579%49555
W5 3119%1093
W5 460%548
W5 5561%47383
W6 083%7109
W6 729%229
W6 876%681
W6 9351%29433
W7 19%16
W7 211%16
W7 357%540
W8 4145%1276
W8 568%662
W8 6208%17121
W8 767%637
W9 1143%1299
W9 2157%13112
W9 3287%24260
WC1A 1101%820
WC1A 243%412
WC1B 3218%18168
WC1B 538%36
WC1E 6123%1077
WC1E 715%17
WC1H 04%02
WC1H 818%16
WC1H 927%221
WC1N 164%530
WC1N 33%03
WC1R 45%03
WC1R 511%14
WC1V 645%412
WC1V 7933%78194
WC1X 031%311
WC1X 8122%1057
WC1X 910%14
WC2A 218%11
WC2A 333%321
WC2B 45%02
WC2B 58%111
WC2B 6967%8159
WC2E 717%118
WC2E 8609%51118
WC2E 9411%34230
WC2H 0754%63138
WC2H 753%417
WC2H 8133%1154
WC2H 9356%30285
WC2N 4121%1058
WC2N 5112%9115
WC2N 696%845
WC2R 0452%3887
WC2R 13%01
WC2R 235%32
WC2R 34%01

London shoplifting crime rate rank

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

London shoplifting crime rate rank

London shoplifting crime rate compared to other regions

The total number of "shoplifting crime" is 87.7k, and this number has increased by 6.4% when compared year-over-year in the period of December 2024 - November 2025. 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 December 2024 - November 2025 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.

+6.4% annual change, crime is increasing

87.7k 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 November 2025.

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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