London shoplifting crime statistics

As of August 2026, the annual crime rate in London stands at 10.8 crimes per 1000 people. London's current crime levels are at 124% of the national crime rate. Shoplifting crime makes up 8.3% of all crimes reported in the region. Shoplifting crime totalled 93.2k representing an increase 3.1% year-over-year.

London shoplifting crime statistics Breakdown: Rate, Share, Volume, and Annual Change Compared to England & Wales
Londoncrime statisticEngland & Wales
10.8annual crime rate per 1k workday people8.6
124%ratio of national crime rate100%
8.3% share of all crimes8.6%
93.2kcrimes reported484k
3.1%annual change-0.6%

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 1618%53537
BR1 28%17
BR1 3117%10115
BR1 4259%22238
BR1 5358%31381
BR2 015%112
BR2 65%01
BR2 734%320
BR2 819%215
BR2 935%338
BR3 1272%23184
BR3 3118%10118
BR3 455%552
BR3 552%420
BR3 66%12
BR4 0192%17128
BR4 943%428
BR5 175%758
BR5 245%444
BR5 3256%22233
BR5 49%17
BR6 0287%25256
BR6 645%420
BR6 78%16
BR6 8146%1395
BR6 956%551
BR7 539%319
BR7 6105%978
CR0 058%575
CR0 1513%44837
CR0 2147%13267
CR0 3306%26443
CR0 4127%11252
CR0 51%01
CR0 6149%13204
CR0 720%220
CR0 8374%32298
CR0 912%18
CR2 019%212
CR2 6138%12118
CR2 872%654
CR2 919%29
CR4 123%223
CR4 221%217
CR4 324%229
CR4 41%01
CR5 2157%14119
CR7 6159%1494
CR7 78%110
CR7 862%575
CR8 2146%13100
CR8 45%02
CR8 5134%1270
DA1 4136%12126
DA14 41%01
DA14 594%858
DA14 6100%974
DA15 746%421
DA15 857%551
DA15 944%424
DA16 1358%31268
DA16 216%113
DA16 3102%969
DA17 597%861
DA17 6288%25192
DA5 114%17
DA5 29%13
DA5 356%528
DA6 7422%36272
DA6 829%214
DA7 478%766
DA7 569%646
DA7 66%14
DA8 172%672
DA8 2101%986
DA8 322%216
E1 036%329
E1 1177%15134
E1 254%543
E1 32%01
E1 4316%27479
E1 571%663
E1 6175%15326
E1 747%488
E1 872%6122
E10 554%562
E10 622%230
E10 7110%10122
E11 1906%78753
E11 2476%41371
E11 399%996
E11 4135%12137
E12 5116%10133
E12 613%123
E13 0160%14193
E13 818%222
E13 9112%10139
E14 098%889
E14 2287%2542
E14 360%563
E14 4136%12218
E14 539%3229
E14 6242%21202
E14 7130%11129
E14 812%118
E14 944%4101
E15 1135%12170
E15 21496%1291443
E15 3157%14154
E15 4248%21285
E16 1680%59589
E16 247%445
E16 355%554
E16 419%220
E17 341%442
E17 45%07
E17 525%230
E17 697%8118
E17 7320%28268
E17 832%333
E17 937%333
E18 1475%41244
E18 27%15
E1W 1118%1055
E1W 2384%33175
E1W 33%01
E2 0186%16151
E2 691%854
E2 7191%16129
E2 8197%17130
E2 9365%32281
E3 2114%10110
E3 3136%12126
E3 4254%22262
E3 5125%11106
E4 611%112
E4 745%443
E4 8267%23278
E4 954%565
E5 090%893
E5 8187%16186
E5 9154%13170
E6 1100%9127
E6 2154%13205
E6 323%232
E6 524%225
E6 6185%16236
E7 0159%14146
E7 836%358
E7 92%02
E8 1352%30292
E8 2277%24201
E8 3158%14122
E8 462%544
E9 5157%14160
E9 6171%15186
E9 7246%21210
EC1A 28%13
EC1A 71%01
EC1A 9439%38134
EC1M 3621%5454
EC1M 536%318
EC1M 6112%1057
EC1N 74%02
EC1N 8417%36299
EC1R 4616%53212
EC1R 582%717
EC1V 1148%1314
EC1V 2232%2059
EC1V 366%620
EC1V 4114%1038
EC1V 714%15
EC1V 9452%39274
EC1Y 12835%245295
EC1Y 814%116
EC2A 1160%1429
EC2A 2108%918
EC2A 317%113
EC2A 411%115
EC2M 3127%1126
EC2M 4116%10131
EC2M 5338%2969
EC2M 765%653
EC2V 6210%18106
EC2V 8103%930
EC2Y 51%01
EC2Y 868%6104
EC2Y 944%415
EC3A 5133%1274
EC3A 77%12
EC3N 126%216
EC3N 2103%985
EC3N 439%320
EC3R 511%16
EC3R 776%728
EC3R 83%03
EC3V 081%748
EC3V 322%29
EC3V 9254%2252
EC4A 11%01
EC4M 745%420
EC4M 91042%90259
EC4N 5126%1111
EC4R 024%234
EC4R 111%11
EC4V 31%01
EC4V 4181%1627
EC4V 685%729
EC4Y 190%821
EN1 1333%29376
EN1 225%212
EN1 3563%49610
EN1 419%218
EN2 071%644
EN2 6302%26155
EN2 730%315
EN2 89%17
EN2 916%13
EN3 479%776
EN3 534%339
EN3 618%224
EN3 712%114
EN4 079%734
EN4 882%766
EN4 92%01
EN5 1170%1589
EN5 243%446
EN5 38%12
EN5 588%857
HA0 1217%19213
HA0 243%438
HA0 343%430
HA0 434%333
HA1 1340%29277
HA1 289%874
HA1 3115%10156
HA1 495%886
HA2 038%331
HA2 683%739
HA2 77%14
HA2 8148%13122
HA2 925%223
HA3 087%870
HA3 547%434
HA3 6190%16136
HA3 7232%20187
HA3 83%03
HA3 96%16
HA4 0406%35289
HA4 619%215
HA4 7155%13109
HA4 829%316
HA4 924%215
HA5 1177%15105
HA5 292%850
HA5 3117%1087
HA5 4115%1066
HA5 5230%20123
HA6 166%647
HA6 2135%12109
HA7 128%217
HA7 251%432
HA7 473%657
HA8 0236%20208
HA8 547%440
HA8 626%219
HA8 7322%28175
HA8 815%114
HA8 931%324
HA9 0254%22150
HA9 632%329
HA9 7514%44352
HA9 880%784
HA9 938%333
IG1 1267%23383
IG1 239%359
IG1 31%01
IG1 4100%9109
IG11 021%227
IG11 739%350
IG11 8318%28328
IG11 913%116
IG2 669%667
IG2 7208%18201
IG3 868%698
IG3 910%112
IG4 51%01
IG5 0112%10122
IG6 196%865
IG6 2252%22218
IG6 34%02
IG7 458%532
IG8 011%17
IG8 77%14
IG8 826%215
IG8 92%01
KT1 11073%93930
KT1 246%446
KT1 310%19
KT1 412%13
KT2 529%327
KT2 663%545
KT2 76%16
KT3 387%877
KT3 4121%1077
KT3 59%16
KT3 68%16
KT4 897%8104
KT5 827%217
KT5 947%429
KT6 4448%39202
KT6 69%14
KT6 765%659
KT8 954%520
KT9 168%647
KT9 232%327
N1 0279%24284
N1 1715%62474
N1 2547%47492
N1 383%741
N1 411%16
N1 5150%1397
N1 6100%990
N1 714%114
N1 882%764
N1 9199%17300
N10 1196%17113
N10 3183%16120
N11 1704%61645
N11 216%111
N11 3132%1177
N12 0100%964
N12 899%961
N12 9108%961
N13 475%661
N13 546%438
N13 67%13
N14 418%213
N14 5168%14111
N14 669%637
N15 360%542
N15 4544%47494
N15 537%327
N15 66%16
N16 036%320
N16 564%674
N16 62%02
N16 797%867
N16 8266%23208
N16 926%210
N17 036%339
N17 67%110
N17 766%646
N17 822%215
N17 9126%11146
N18 16%18
N18 2125%11175
N18 388%84
N19 3486%42405
N19 4119%1077
N19 5162%14160
N1C 41865%161202
N2 02%01
N2 812%15
N2 9160%1486
N20 012%19
N20 9233%2091
N21 140%322
N21 29%14
N21 364%633
N22 5117%10102
N22 6540%47609
N22 85%03
N3 140%328
N3 280%765
N3 318%29
N4 1183%16164
N4 2135%12213
N4 3147%13114
N4 45%02
N5 134%327
N5 211%18
N6 410%14
N6 5235%20153
N6 697%823
N7 0160%14130
N7 6331%29178
N7 732%320
N7 8247%21207
N7 9102%994
N8 084%760
N8 7100%961
N8 8300%26183
N8 934%321
N9 0214%18222
N9 77%15
N9 84%03
N9 92%02
NW1 030%333
NW1 110%110
NW1 229%245
NW1 315%114
NW1 4239%21130
NW1 5158%1466
NW1 6214%18197
NW1 7215%19194
NW1 8113%10106
NW1 9106%986
NW10 0181%16173
NW10 115%110
NW10 2149%13107
NW10 32%01
NW10 4298%26224
NW10 5104%984
NW10 66%14
NW10 777%7130
NW10 814%114
NW10 99%17
NW11 0148%1365
NW11 6118%1051
NW11 743%421
NW11 8420%36198
NW11 92%01
NW2 1155%13115
NW2 2161%1480
NW2 3120%1065
NW2 489%841
NW2 525%215
NW2 679%772
NW2 762%558
NW3 1384%33146
NW3 2115%10160
NW3 3108%966
NW3 4144%1272
NW3 5168%1496
NW3 6237%21142
NW4 1262%23131
NW4 2102%966
NW4 3471%41450
NW4 4200%17140
NW5 1106%992
NW5 2409%35312
NW5 348%422
NW5 42%01
NW6 1186%16120
NW6 2101%941
NW6 340%316
NW6 4576%50308
NW6 586%769
NW6 6514%45325
NW6 7265%23204
NW7 1190%16110
NW7 219%211
NW7 3143%1269
NW8 0110%1056
NW8 6165%1460
NW8 7146%1368
NW8 87%17
NW8 92%01
NW9 0135%12116
NW9 560%584
NW9 689%862
NW9 747%422
NW9 8168%15118
NW9 9205%18151
RM1 1943%82428
RM1 248%422
RM1 3240%21153
RM1 47%16
RM10 728%228
RM10 8152%13144
RM10 910%112
RM11 187%872
RM11 2132%1187
RM11 320%213
RM12 493%897
RM12 5209%18119
RM12 674%649
RM13 7148%1385
RM13 830%319
RM13 9288%25282
RM14 14%03
RM14 2226%20151
RM14 34%02
RM2 5110%1048
RM2 675%628
RM3 0117%10116
RM3 8201%17162
RM3 915%110
RM5 2138%1277
RM5 3102%969
RM6 4542%47502
RM6 518%213
RM6 641%429
RM7 053%567
RM7 7105%932
RM7 874%632
RM7 97%13
RM8 118%217
RM8 226%226
RM8 312%19
RM9 496%882
RM9 55%04
RM9 6133%11110
SE1 053%5125
SE1 162%587
SE1 242%4114
SE1 3113%10125
SE1 4136%12130
SE1 5144%12119
SE1 6126%1185
SE1 7117%10310
SE1 8173%15222
SE1 929%363
SE10 0226%20192
SE10 885%751
SE10 9448%39359
SE11 4100%966
SE11 57%16
SE11 617%19
SE12 043%427
SE12 819%211
SE12 959%534
SE13 5738%64631
SE13 658%569
SE13 7292%25311
SE14 527%226
SE14 6125%1198
SE15 167%641
SE15 2117%1093
SE15 383%771
SE15 428%215
SE15 5276%24215
SE15 624%220
SE16 213%110
SE16 371%656
SE16 466%629
SE16 5180%1654
SE16 64%01
SE16 7183%1680
SE17 1264%23136
SE17 2621%54590
SE17 333%326
SE18 169%669
SE18 2118%1074
SE18 341%432
SE18 432%331
SE18 516%112
SE18 6376%32437
SE18 711%110
SE19 140%322
SE19 221%210
SE19 379%756
SE2 05%04
SE2 9149%13147
SE20 7447%39339
SE20 8117%1086
SE21 826%219
SE22 013%17
SE22 8539%47398
SE22 944%420
SE23 1231%20144
SE23 366%646
SE24 012%17
SE24 927%215
SE25 455%544
SE25 5151%13100
SE25 680%768
SE26 4171%15107
SE26 531%320
SE26 65%03
SE27 057%544
SE27 9231%20149
SE28 012%111
SE28 8102%9129
SE3 0292%25145
SE3 736%318
SE3 817%110
SE3 9113%1060
SE4 110%19
SE4 2204%18156
SE5 0396%34272
SE5 715%112
SE5 878%792
SE5 910%114
SE6 19%19
SE6 2105%9115
SE6 3174%15142
SE6 4303%26261
SE7 7252%22254
SE7 8212%18153
SE8 3218%19142
SE8 4246%21147
SE8 5205%18137
SE9 1176%15135
SE9 2241%21192
SE9 311%19
SE9 4148%13115
SE9 549%428
SE9 6258%22167
SM1 1421%36294
SM1 25%05
SM1 33%03
SM1 458%548
SM2 56%06
SM2 72%01
SM3 827%217
SM3 9101%992
SM4 48%17
SM4 5211%18175
SM4 64%03
SM5 122%219
SM5 2389%34288
SM5 3348%30194
SM6 0246%21126
SM6 792%842
SM6 834%325
SM6 9187%16149
SW10 071%678
SW10 9301%26216
SW11 1523%45345
SW11 268%651
SW11 3100%990
SW11 455%534
SW11 534%332
SW11 632%320
SW12 012%15
SW12 839%330
SW12 9800%69451
SW13 026%212
SW13 913%17
SW14 7126%1164
SW14 818%212
SW15 1375%32272
SW15 276%760
SW15 342%428
SW15 413%110
SW15 58%16
SW15 6115%1064
SW16 1361%31249
SW16 225%225
SW16 336%321
SW16 4321%28278
SW16 550%451
SW16 670%664
SW17 082%7139
SW17 7172%15162
SW17 87%17
SW17 9165%14168
SW18 1150%13138
SW18 237%324
SW18 311%19
SW18 4224%19224
SW18 578%764
SW19 1184%16159
SW19 2193%17177
SW19 39%19
SW19 417%113
SW19 5107%947
SW19 65%03
SW19 7210%18114
SW19 8223%19241
SW1A 0507%4421
SW1A 12%01
SW1A 212%115
SW1E 5531%46332
SW1E 619%214
SW1H 018%215
SW1P 175%680
SW1P 235%357
SW1P 47%17
SW1V 170%646
SW1V 2191%1683
SW1V 369%637
SW1V 43%01
SW1W 013%112
SW1W 8295%26148
SW1W 9108%995
SW1X 0125%1127
SW1X 740%329
SW1X 813%15
SW1X 9181%1684
SW1Y 428%218
SW1Y 51%01
SW1Y 6229%20123
SW2 164%633
SW2 220%213
SW2 3150%13116
SW2 4157%1490
SW2 530%322
SW20 0180%16111
SW20 876%750
SW20 916%18
SW3 1383%33301
SW3 2149%1383
SW3 3221%19115
SW3 4216%19108
SW3 560%527
SW3 67%14
SW4 0432%37206
SW4 660%534
SW4 7629%54296
SW4 834%314
SW4 918%210
SW5 9216%19131
SW6 1290%25202
SW6 231%330
SW6 34%03
SW6 4129%1182
SW6 5141%1271
SW6 622%215
SW6 780%754
SW7 12%01
SW7 27%16
SW7 334%313
SW7 4133%1266
SW7 519%213
SW8 1503%43439
SW8 2211%18168
SW8 387%843
SW8 4133%1293
SW8 5391%34165
SW9 038%322
SW9 626%214
SW9 784%759
SW9 81231%106620
SW9 9238%21173
TN16 220%24
TN16 380%765
TW1 118%210
TW1 224%29
TW1 3259%22145
TW1 411%17
TW10 545%410
TW10 67%15
TW10 720%210
TW11 8101%975
TW11 949%429
TW12 1324%28182
TW12 243%429
TW12 3118%1053
TW13 4273%24279
TW13 530%319
TW13 686%754
TW13 74%02
TW14 027%224
TW14 823%222
TW14 920%215
TW2 596%860
TW2 630%319
TW2 771%654
TW3 1713%62683
TW3 22%01
TW3 3107%994
TW3 44%03
TW4 5114%1085
TW4 66%04
TW4 732%323
TW5 0234%20199
TW5 956%577
TW6 220%26
TW6 3170%1530
TW7 440%323
TW7 519%222
TW7 623%222
TW7 784%751
TW8 057%544
TW8 8215%19114
TW8 948%445
TW9 1354%31246
TW9 218%210
TW9 313%15
TW9 4126%1166
UB1 1178%15155
UB1 27%18
UB1 373%670
UB10 075%656
UB10 88%16
UB10 98%16
UB2 4273%24365
UB2 5125%11179
UB3 17%110
UB3 292%887
UB3 3854%74686
UB3 4337%29271
UB3 556%538
UB4 073%663
UB4 828%226
UB4 9171%15136
UB5 424%224
UB5 538%333
UB5 617%221
UB6 088%880
UB6 73%02
UB6 883%7116
UB6 9205%18211
UB7 02%07
UB7 7434%38300
UB7 818%214
UB7 914%19
UB8 1378%33462
UB8 235%361
UB8 312%119
UB9 619%213
W10 482%758
W10 557%568
W10 6165%14152
W11 1192%17142
W11 2207%18118
W11 3202%1796
W11 41325%1151117
W12 01%02
W12 7166%14378
W12 8998%86862
W12 9201%17169
W13 0141%1297
W13 842%421
W13 966%659
W14 06%15
W14 846%448
W14 925%225
W1B 279%729
W1B 4785%6865
W1B 5997%86215
W1C 13232%280156
W1C 2187%169
W1D 226205%2267306
W1D 388%837
W1D 495%823
W1D 578%723
W1D 610%14
W1D 7133%1141
W1F 0147%1376
W1F 7734%63563
W1F 8179%16118
W1F 9147%1392
W1G 0439%3846
W1G 6126%1137
W1G 856%520
W1H 113%14
W1H 259%57
W1H 5332%2990
W1H 659%516
W1H 7651%56287
W1J 0345%3079
W1J 52%01
W1J 672%637
W1J 721%213
W1J 89%13
W1K 211%15
W1K 312%17
W1K 423%25
W1K 5331%29106
W1K 6877%76200
W1K 747%411
W1S 1535%46516
W1S 2114%1064
W1S 3383%3373
W1S 4319%28167
W1T 175%673
W1T 2438%38166
W1T 3143%1270
W1T 418%210
W1T 581%751
W1T 7539%47141
W1U 11902%165786
W1U 2164%1443
W1U 336%315
W1U 4757%65142
W1U 589%824
W1U 6410%35106
W1U 724%27
W1W 596%828
W1W 654%535
W1W 711%16
W1W 8373%32181
W2 178%7139
W2 2187%16117
W2 3207%18120
W2 4120%1079
W2 530%323
W2 6124%11159
W3 0126%1188
W3 6193%17218
W3 7196%17218
W3 896%8100
W3 972%640
W4 1152%13104
W4 241%436
W4 346%431
W4 4269%23139
W4 5101%9110
W5 121%215
W5 2220%19218
W5 372%658
W5 464%653
W5 5338%29238
W6 0103%9140
W6 744%445
W6 860%566
W6 9477%41608
W7 119%213
W7 22%01
W7 380%758
W8 4181%1698
W8 566%662
W8 6255%22153
W8 744%425
W9 134%324
W9 2251%22185
W9 3473%41441
WC1A 169%614
WC1A 253%515
WC1B 3183%16146
WC1B 5300%2649
WC1E 6102%966
WC1E 724%212
WC1H 09%15
WC1H 86%02
WC1H 914%111
WC1N 199%948
WC1N 38%18
WC1R 49%16
WC1R 58%13
WC1V 684%723
WC1V 7536%46115
WC1X 032%312
WC1X 8143%1269
WC1X 97%13
WC2A 111%14
WC2A 217%11
WC2A 317%111
WC2B 54%05
WC2B 61000%8763
WC2E 79%110
WC2E 8581%50116
WC2E 9437%38252
WC2H 0609%53115
WC2H 748%416
WC2H 872%630
WC2H 9385%33318
WC2N 4266%23132
WC2N 576%780
WC2N 678%738
WC2R 0398%3479
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 93.2k representing an increase 3.1% 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 August 2025 - July 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.

+3.1% annual change, crime is increasing

93.2k 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 July 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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