London shoplifting crime statistics

As of May 2026, the annual crime rate in London stands at 10.3 crimes per 1000 people. London's current crime levels are at 124% of the national crime rate. Shoplifting crime makes up 7.8% of all crimes reported in the region. Shoplifting crime totalled 89.3k representing an increase 0.6% year-over-year.

London shoplifting crime statistics Breakdown: Rate, Share, Volume, and Annual Change Compared to England & Wales
Londoncrime statisticEngland & Wales
10.3annual crime rate per 1k workday people8.3
124%ratio of national crime rate100%
7.8% share of all crimes8.3%
89.3kcrimes reported467k
0.6%annual change-4.2%

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 1629%52527
BR1 27%16
BR1 3133%11126
BR1 4183%15162
BR1 5266%22273
BR2 024%218
BR2 65%01
BR2 728%216
BR2 815%111
BR2 940%342
BR3 1296%25193
BR3 380%777
BR3 453%448
BR3 559%522
BR3 69%13
BR4 0165%14106
BR4 943%427
BR5 191%868
BR5 239%337
BR5 3254%21223
BR5 48%16
BR6 0269%22232
BR6 651%422
BR6 77%15
BR6 8126%1079
BR6 962%555
BR7 532%315
BR7 684%760
CR0 058%572
CR0 1443%37698
CR0 2106%9186
CR0 3214%18299
CR0 4131%11251
CR0 52%02
CR0 6199%17263
CR0 713%112
CR0 8306%25235
CR0 912%18
CR2 018%111
CR2 6104%986
CR2 865%547
CR2 99%14
CR4 126%225
CR4 246%436
CR4 320%223
CR5 12%01
CR5 2148%12108
CR7 6131%1175
CR7 78%110
CR7 882%795
CR8 2135%1189
CR8 46%02
CR8 5188%1695
DA1 4122%10109
DA14 596%857
DA14 6137%1198
DA15 760%526
DA15 839%334
DA15 948%425
DA16 1271%23196
DA16 216%113
DA16 380%752
DA17 594%857
DA17 6365%30235
DA5 113%16
DA5 26%02
DA5 335%317
DA6 7418%35260
DA6 834%316
DA7 482%767
DA7 588%757
DA7 65%03
DA8 149%447
DA8 2100%882
DA8 320%214
E1 035%327
E1 1225%19164
E1 261%547
E1 32%01
E1 4285%24417
E1 564%555
E1 6159%13286
E1 759%5106
E1 869%6114
E10 550%455
E10 623%231
E10 798%8104
E11 1850%71681
E11 2349%29262
E11 396%890
E11 4102%9100
E12 584%792
E12 612%120
E13 0211%18245
E13 816%118
E13 999%8118
E14 056%549
E14 2220%1831
E14 366%667
E14 4159%13247
E14 540%3222
E14 6192%16155
E14 7103%998
E14 813%120
E14 947%4104
E15 1154%13187
E15 21559%1301450
E15 346%444
E15 4414%34458
E16 1735%61614
E16 243%440
E16 353%450
E16 421%221
E17 338%337
E17 48%110
E17 524%228
E17 695%8111
E17 7338%28273
E17 839%339
E17 935%330
E18 1495%41245
E18 212%18
E1W 1138%1262
E1W 2439%37193
E1W 33%01
E2 0186%16146
E2 6116%1066
E2 7161%13105
E2 8137%1187
E2 9276%23205
E3 2115%10107
E3 3146%12130
E3 4107%9106
E3 5114%993
E4 619%219
E4 753%449
E4 8361%30362
E4 973%684
E5 081%781
E5 8139%12133
E5 9130%11139
E6 195%8117
E6 2155%13200
E6 327%236
E6 534%334
E6 6188%16231
E7 0178%15157
E7 856%588
E7 91%01
E8 1331%28265
E8 2291%24204
E8 3162%13120
E8 457%539
E9 5122%10120
E9 6166%14174
E9 7273%23225
EC1A 26%02
EC1A 9422%35124
EC1M 31228%102103
EC1M 564%531
EC1M 694%846
EC1N 72%01
EC1N 8319%27220
EC1R 4256%2185
EC1R 565%513
EC1V 1251%2123
EC1V 2167%1441
EC1V 352%415
EC1V 4127%1141
EC1V 79%13
EC1V 9571%48334
EC1Y 11695%141170
EC1Y 88%19
EC2A 1172%1430
EC2A 2105%917
EC2A 320%215
EC2A 412%115
EC2M 3162%1432
EC2M 4124%10135
EC2M 5391%3377
EC2M 784%766
EC2V 6200%1797
EC2V 885%724
EC2Y 51%01
EC2Y 886%7127
EC2Y 934%311
EC3A 5136%1173
EC3A 711%13
EC3N 150%430
EC3N 2104%983
EC3N 438%319
EC3R 515%18
EC3R 736%313
EC3R 82%02
EC3V 0166%1495
EC3V 315%16
EC3V 9315%2662
EC4A 12%02
EC4M 739%317
EC4M 91081%90259
EC4N 5107%99
EC4R 025%235
EC4R 112%11
EC4V 4118%1017
EC4V 52%02
EC4V 6104%934
EC4Y 1134%1130
EN1 1394%33428
EN1 215%17
EN1 3518%43541
EN1 423%221
EN2 068%641
EN2 6273%23135
EN2 729%214
EN2 85%04
EN2 916%13
EN3 4115%10107
EN3 565%572
EN3 612%116
EN3 711%113
EN4 0104%943
EN4 8103%980
EN4 94%02
EN5 1190%1696
EN5 220%220
EN5 325%26
EN5 5109%968
HA0 1231%19219
HA0 253%445
HA0 348%432
HA0 436%334
HA1 1383%32300
HA1 283%767
HA1 3114%9149
HA1 4116%10101
HA2 040%331
HA2 657%526
HA2 77%14
HA2 8154%13122
HA2 934%330
HA3 084%765
HA3 567%647
HA3 6174%14120
HA3 7208%17162
HA3 82%02
HA3 97%17
HA4 0454%38311
HA4 619%214
HA4 7134%1191
HA4 847%425
HA4 931%319
HA5 1183%15105
HA5 2107%956
HA5 397%870
HA5 4176%1597
HA5 5239%20123
HA6 166%645
HA6 2182%15142
HA7 133%319
HA7 243%426
HA7 482%762
HA8 0217%18184
HA8 532%326
HA8 631%322
HA8 7365%30191
HA8 815%114
HA8 923%217
HA9 0279%23159
HA9 637%332
HA9 7582%48384
HA9 898%899
HA9 945%438
IG1 1301%25416
IG1 235%351
IG1 32%02
IG1 480%784
IG11 019%224
IG11 750%461
IG11 8332%28330
IG11 911%113
IG2 655%551
IG2 7145%12135
IG3 862%586
IG3 911%113
IG4 53%02
IG5 0171%14179
IG6 194%861
IG6 2237%20197
IG6 35%03
IG7 442%322
IG8 015%19
IG8 79%15
IG8 854%430
IG9 63%01
KT1 11225%1021023
KT1 258%556
KT1 312%110
KT1 416%14
KT2 530%327
KT2 652%436
KT2 713%112
KT3 379%767
KT3 4137%1184
KT3 58%15
KT3 613%110
KT4 897%8100
KT5 828%217
KT5 937%322
KT6 4371%31161
KT6 616%17
KT6 756%549
KT8 958%521
KT9 151%434
KT9 222%218
N1 0308%26302
N1 1523%44334
N1 2510%42442
N1 388%742
N1 412%16
N1 5151%1394
N1 664%556
N1 711%110
N1 882%762
N1 9151%13219
N10 1218%18121
N10 22%01
N10 3198%17125
N11 1727%61642
N11 217%111
N11 3133%1175
N12 086%753
N12 8106%963
N12 9130%1171
N13 498%877
N13 554%543
N13 65%02
N14 420%214
N14 5191%16122
N14 683%743
N15 343%429
N15 4676%56592
N15 544%431
N15 68%17
N16 043%423
N16 594%8105
N16 778%652
N16 8243%20183
N16 919%27
N17 039%341
N17 69%112
N17 757%538
N17 820%213
N17 9132%11148
N18 17%19
N18 2115%10155
N18 3204%179
N19 3407%34327
N19 4104%965
N19 5121%10115
N1C 42012%168210
N2 02%01
N2 85%02
N2 9169%1488
N20 013%19
N20 9178%1567
N21 136%319
N21 24%02
N21 341%320
N22 5104%987
N22 6648%54704
N22 83%02
N3 141%328
N3 269%654
N3 316%18
N4 1157%13135
N4 2114%9173
N4 3121%1090
N4 46%02
N5 124%218
N5 26%04
N6 48%13
N6 5198%16124
N6 6110%925
N7 0161%13126
N7 6293%24152
N7 730%318
N7 8219%18177
N7 9118%10104
N8 071%649
N8 768%640
N8 8283%24166
N8 942%325
N9 0199%17199
N9 77%15
N9 810%18
N9 94%05
NW1 036%339
NW1 111%111
NW1 229%244
NW1 332%330
NW1 4262%22137
NW1 5139%1256
NW1 6198%17176
NW1 7233%19202
NW1 8171%14154
NW1 999%878
NW10 0250%21231
NW10 122%214
NW10 2144%12100
NW10 32%01
NW10 4277%23201
NW10 5108%984
NW10 63%02
NW10 7112%9182
NW10 816%115
NW10 911%18
NW11 0246%20104
NW11 631%313
NW11 754%425
NW11 8478%40217
NW11 93%02
NW2 1137%1198
NW2 2213%18102
NW2 3105%955
NW2 488%739
NW2 526%215
NW2 656%549
NW2 783%775
NW3 1445%37163
NW3 2130%11174
NW3 385%750
NW3 4191%1692
NW3 5187%16103
NW3 6256%21148
NW4 1314%26151
NW4 2107%967
NW4 3413%34380
NW4 470%647
NW5 183%769
NW5 2325%27239
NW5 343%419
NW5 43%02
NW6 1225%19140
NW6 2105%941
NW6 377%630
NW6 4598%50308
NW6 598%876
NW6 6463%39282
NW6 7158%13117
NW7 1197%16110
NW7 226%214
NW7 3140%1265
NW8 0138%1268
NW8 6226%1979
NW8 7227%19102
NW8 85%05
NW8 98%14
NW9 0134%11111
NW9 541%356
NW9 690%760
NW9 751%423
NW9 8174%15118
NW9 9296%25210
RM1 1825%69361
RM1 266%529
RM1 3238%20146
RM1 411%19
RM10 735%334
RM10 8138%12126
RM10 910%112
RM11 188%770
RM11 2109%969
RM11 316%110
RM12 478%678
RM12 5241%20132
RM12 678%750
RM13 7172%1495
RM13 833%320
RM13 9232%19219
RM14 112%18
RM14 2292%24188
RM14 38%14
RM2 5114%1048
RM2 6102%937
RM3 0133%11127
RM3 8183%15142
RM3 920%213
RM5 2169%1491
RM5 3161%13105
RM6 4523%44467
RM6 519%213
RM6 636%325
RM7 067%682
RM7 7109%932
RM7 889%737
RM7 98%13
RM8 119%218
RM8 216%115
RM8 319%214
RM9 4101%883
RM9 510%18
RM9 6163%14130
SE1 050%4115
SE1 139%353
SE1 240%3104
SE1 379%784
SE1 4131%11120
SE1 5133%11106
SE1 6127%1183
SE1 7107%9273
SE1 8165%14204
SE1 932%366
SE10 0259%22212
SE10 879%746
SE10 9478%40369
SE11 477%649
SE11 511%19
SE11 621%211
SE12 033%320
SE12 830%317
SE12 960%533
SE13 5407%34335
SE13 652%460
SE13 7317%26326
SE14 529%227
SE14 6147%12111
SE15 171%642
SE15 284%764
SE15 387%772
SE15 437%319
SE15 5305%25229
SE15 629%223
SE16 213%110
SE16 333%325
SE16 456%524
SE16 5208%1760
SE16 7182%1577
SE17 1276%23137
SE17 2487%41446
SE17 336%327
SE18 164%562
SE18 2124%1075
SE18 312%19
SE18 440%337
SE18 511%18
SE18 6374%31420
SE18 715%113
SE19 129%215
SE19 211%15
SE19 365%544
SE2 04%03
SE2 9156%13148
SE20 7509%42372
SE20 8127%1190
SE21 821%215
SE22 024%213
SE22 8406%34289
SE22 934%315
SE23 1213%18128
SE23 382%755
SE24 020%211
SE24 925%213
SE25 452%440
SE25 5143%1291
SE25 680%766
SE26 4204%17123
SE26 534%321
SE26 63%02
SE27 0113%984
SE27 9176%15109
SE28 07%16
SE28 8106%9129
SE3 0334%28160
SE3 731%315
SE3 815%19
SE3 980%741
SE4 113%112
SE4 2152%13112
SE5 0427%36283
SE5 716%112
SE5 892%8104
SE5 910%114
SE6 111%111
SE6 2103%9109
SE6 3149%12117
SE6 4283%24235
SE7 7208%17202
SE7 8249%21173
SE8 3272%23171
SE8 4267%22154
SE8 5225%19145
SE9 1169%14125
SE9 2247%21189
SE9 39%17
SE9 4143%12107
SE9 549%427
SE9 6356%30222
SM1 1408%34275
SM1 27%16
SM1 33%03
SM1 463%550
SM2 59%19
SM2 62%01
SM3 822%213
SM3 9114%9100
SM4 47%16
SM4 5235%20188
SM4 63%02
SM5 125%220
SM5 2380%32271
SM5 3380%32204
SM6 0184%1591
SM6 795%842
SM6 827%219
SM6 9189%16145
SW10 078%682
SW10 9386%32267
SW11 1579%48368
SW11 267%649
SW11 375%665
SW11 447%428
SW11 538%334
SW11 627%216
SW12 019%28
SW12 845%433
SW12 9882%74479
SW13 027%212
SW13 917%19
SW14 7123%1060
SW14 823%215
SW15 1372%31260
SW15 249%437
SW15 359%538
SW15 414%110
SW15 511%18
SW15 6133%1171
SW16 1435%36289
SW16 239%338
SW16 341%323
SW16 4409%34342
SW16 560%559
SW16 682%772
SW17 086%7141
SW17 7196%16178
SW17 83%03
SW17 9203%17199
SW18 1146%12129
SW18 245%428
SW18 38%16
SW18 4219%18211
SW18 593%873
SW19 1196%16163
SW19 2221%18195
SW19 312%111
SW19 426%219
SW19 5100%842
SW19 65%03
SW19 7260%22136
SW19 8185%15193
SW1A 0501%4220
SW1A 12%01
SW1A 217%120
SW1E 5503%42303
SW1E 624%217
SW1H 021%217
SW1P 156%558
SW1P 235%355
SW1P 31%01
SW1P 410%110
SW1V 157%536
SW1V 2129%1154
SW1V 380%741
SW1W 010%19
SW1W 8294%25142
SW1W 983%770
SW1X 0134%1128
SW1X 740%328
SW1X 819%27
SW1X 9196%1688
SW1Y 431%319
SW1Y 51%01
SW1Y 6224%19116
SW2 172%636
SW2 228%217
SW2 3126%1094
SW2 4141%1278
SW2 535%325
SW20 0168%14100
SW20 8109%969
SW20 919%29
SW3 1405%34307
SW3 2164%1488
SW3 3210%17105
SW3 4224%19108
SW3 549%421
SW3 611%16
SW4 0375%31172
SW4 664%535
SW4 7888%74403
SW4 840%316
SW4 922%212
SW5 9243%20142
SW6 1274%23184
SW6 235%333
SW6 31%01
SW6 4114%1070
SW6 5136%1166
SW6 612%18
SW6 762%540
SW7 15%02
SW7 28%17
SW7 338%314
SW7 4103%949
SW7 514%19
SW8 1393%33331
SW8 2224%19172
SW8 392%844
SW8 4129%1187
SW8 5398%33162
SW9 032%318
SW9 631%316
SW9 769%647
SW9 81082%90525
SW9 9249%21174
TN16 215%13
TN16 352%441
TW1 120%211
TW1 222%28
TW1 3241%20130
TW1 410%16
TW10 560%513
TW10 612%18
TW10 717%18
TW11 8113%981
TW11 949%428
TW12 1272%23147
TW12 238%325
TW12 356%524
TW13 4304%25299
TW13 521%213
TW13 679%748
TW13 74%02
TW14 029%225
TW14 820%219
TW14 919%214
TW2 5112%968
TW2 654%433
TW2 786%763
TW3 11126%941040
TW3 3109%992
TW3 44%03
TW4 596%869
TW4 63%02
TW4 742%329
TW5 0197%16162
TW5 956%575
TW6 224%27
TW6 3177%1530
TW7 432%318
TW7 523%226
TW7 625%223
TW7 783%749
TW8 043%432
TW8 8331%28169
TW8 949%444
TW9 1418%35280
TW9 219%210
TW9 314%15
TW9 4151%1376
UB1 1200%17168
UB1 27%18
UB1 358%553
UB10 0109%979
UB10 814%111
UB10 911%18
UB11 1170%142
UB2 4277%23357
UB2 5119%10165
UB3 110%113
UB3 282%775
UB3 3716%60554
UB3 4389%32302
UB3 548%431
UB4 071%659
UB4 828%225
UB4 9165%14126
UB5 429%227
UB5 536%330
UB5 622%226
UB6 097%885
UB6 73%02
UB6 873%699
UB6 9195%16193
UB7 02%06
UB7 7424%35283
UB7 815%111
UB7 916%110
UB8 1358%30422
UB8 227%245
UB8 311%117
UB9 624%216
W10 443%429
W10 528%233
W10 6195%16173
W11 1170%14121
W11 2230%19126
W11 3301%25138
W11 41342%1121090
W12 01%01
W12 7163%14356
W12 8906%76754
W12 9165%14134
W13 0144%1296
W13 864%531
W13 998%885
W14 08%17
W14 831%331
W14 933%332
W1B 285%730
W1B 4739%6259
W1B 51149%96239
W1C 12536%211118
W1C 2129%116
W1D 216259%1356183
W1D 394%838
W1D 4129%1130
W1D 567%619
W1D 65%02
W1D 7128%1138
W1F 0183%1591
W1F 7627%52464
W1F 8206%17131
W1F 9126%1176
W1G 0544%4555
W1G 6138%1139
W1G 864%522
W1G 91%01
W1H 114%14
W1H 252%46
W1H 5291%2476
W1H 661%516
W1H 7761%63323
W1J 0317%2670
W1J 52%01
W1J 668%634
W1J 715%19
W1J 86%02
W1K 220%29
W1K 315%18
W1K 423%25
W1K 5457%38141
W1K 6824%69181
W1K 753%412
W1S 1444%37413
W1S 2113%961
W1S 3436%3680
W1S 4218%18110
W1T 169%665
W1T 2482%40176
W1T 3163%1477
W1T 431%317
W1T 5104%963
W1T 7579%48146
W1U 12029%169808
W1U 2162%1341
W1U 340%316
W1U 4857%71155
W1U 585%722
W1U 6385%3296
W1U 739%311
W1W 589%725
W1W 637%323
W1W 712%16
W1W 8333%28156
W2 181%7138
W2 2113%968
W2 3233%19130
W2 4116%1074
W2 531%323
W2 689%7110
W3 073%649
W3 6126%10137
W3 7168%14180
W3 865%565
W3 976%641
W4 1149%1298
W4 242%335
W4 346%430
W4 4269%22134
W4 5100%8105
W5 123%216
W5 2278%23265
W5 380%762
W5 458%546
W5 5373%31253
W6 094%8123
W6 737%337
W6 879%784
W6 9439%37539
W7 118%212
W7 26%03
W7 365%545
W8 4165%1486
W8 570%663
W8 6222%18128
W8 758%532
W9 187%760
W9 2211%18150
W9 3454%38408
WC1A 1107%921
WC1A 255%515
WC1B 3221%18170
WC1B 576%612
WC1E 6125%1078
WC1E 723%211
WC1H 06%03
WC1H 815%15
WC1H 918%214
WC1N 175%635
WC1N 36%06
WC1R 410%16
WC1R 56%02
WC1V 657%515
WC1V 7813%68168
WC1X 028%210
WC1X 8159%1374
WC1X 912%15
WC2A 112%14
WC2A 218%11
WC2A 324%215
WC2B 56%18
WC2B 61170%9871
WC2E 78%19
WC2E 8633%53122
WC2E 9482%40268
WC2H 0692%58126
WC2H 741%313
WC2H 8101%841
WC2H 9373%31297
WC2N 4214%18102
WC2N 577%678
WC2N 664%530
WC2R 0481%4092
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 89.3k representing an increase 0.6% 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 May 2025 - April 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.

+0.6% annual change, crime is increasing

89.3k 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 April 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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