London shoplifting crime statistics

Annual crime rate in London region is 10.3 crimes per 1000 people. Compared to the national crime rate, London's rate is at 121% as of October 2025.Shoplifting crime makes up 7.8% of all crimes reported in the region. The total number of "shoplifting crime" is 89.4k, and this number has increased by 17.5% when compared year-over-year in the period of October 2024 - September 2025.

London regioncrime statisticEngland & Wales
10.3 annual crime rate per 1k workday people8.5
121% ratio of national crime rate100%
7.8% share of all crimes8.4%
89.4k crimes reported478k
17.5% annual change5.4%

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 1624%53535
BR1 216%114
BR1 3180%15175
BR1 453%548
BR1 572%676
BR2 032%325
BR2 65%01
BR2 719%211
BR2 823%218
BR2 961%565
BR3 1311%27208
BR3 347%446
BR3 426%224
BR3 599%838
BR3 66%12
BR4 093%861
BR4 942%427
BR5 1155%13118
BR5 224%223
BR5 3311%27280
BR5 44%03
BR6 0293%25258
BR6 648%421
BR6 73%02
BR6 8100%964
BR6 9138%12125
BR7 58%14
BR7 6114%1083
CR0 062%579
CR0 1338%29545
CR0 2199%17356
CR0 3108%9154
CR0 4283%24555
CR0 54%03
CR0 6239%20324
CR0 728%227
CR0 8256%22201
CR0 926%217
CR2 022%214
CR2 613%111
CR2 870%652
CR2 911%15
CR4 118%218
CR4 2133%11107
CR4 331%337
CR4 42%02
CR5 15%03
CR5 2158%13118
CR7 6115%1067
CR7 75%06
CR7 871%684
CR8 2120%1081
CR8 43%01
CR8 5199%17103
DA1 4121%10111
DA14 5108%966
DA14 6195%17143
DA15 7121%1054
DA15 845%440
DA15 945%424
DA16 1323%28239
DA16 224%220
DA16 354%536
DA17 560%537
DA17 6316%27208
DA5 148%423
DA5 26%02
DA5 326%213
DA6 7412%35262
DA6 860%529
DA7 4173%15145
DA7 586%757
DA7 64%03
DA8 164%563
DA8 2215%18181
DA8 315%111
E1 021%217
E1 1237%20177
E1 294%874
E1 32%01
E1 4268%23401
E1 567%659
E1 6159%14293
E1 747%486
E1 871%6120
E10 573%682
E10 616%122
E10 7107%9117
E11 1678%58556
E11 2180%15138
E11 387%783
E11 455%555
E12 557%564
E12 68%113
E13 0333%28396
E13 824%228
E13 982%7100
E14 027%224
E14 262%59
E14 341%443
E14 4139%12221
E14 537%3213
E14 6110%991
E14 791%889
E14 814%122
E14 943%497
E15 1233%20290
E15 21374%1171308
E15 329%228
E15 4673%57763
E16 1806%69689
E16 237%335
E16 349%447
E16 414%114
E17 348%448
E17 410%113
E17 526%231
E17 6115%10138
E17 7270%23223
E17 830%331
E17 927%224
E18 1237%20120
E18 253%537
E1W 187%740
E1W 2356%30160
E1W 33%01
E2 0172%15138
E2 696%856
E2 7123%1082
E2 8223%19145
E2 9151%13115
E3 280%776
E3 3148%13135
E3 471%672
E3 5127%11106
E4 614%115
E4 781%776
E4 8606%52622
E4 969%681
E5 065%667
E5 8102%9100
E5 959%564
E6 190%8113
E6 2153%13202
E6 326%236
E6 535%335
E6 6186%16234
E7 0135%12122
E7 860%596
E7 93%04
E8 1315%27258
E8 2334%28239
E8 3122%1093
E8 440%328
E9 595%896
E9 6209%18224
E9 7145%12122
EC1A 933%310
EC1M 31619%138139
EC1M 569%634
EC1M 68%14
EC1N 72%01
EC1N 865%646
EC1R 114%13
EC1R 4186%1663
EC1R 524%25
EC1V 1459%3943
EC1V 220%25
EC1V 327%28
EC1V 4112%1037
EC1V 718%16
EC1V 9620%53371
EC1Y 014%13
EC1Y 1497%4251
EC1Y 813%114
EC2A 1179%1532
EC2A 224%24
EC2A 383%763
EC2A 43%04
EC2M 115%16
EC2M 3164%1433
EC2M 478%787
EC2M 5273%2355
EC2M 788%871
EC2V 6251%21125
EC2V 8146%1242
EC2Y 844%467
EC2Y 933%311
EC3A 582%745
EC3A 717%15
EC3N 1113%1070
EC3N 210%18
EC3N 416%18
EC3R 515%18
EC3R 78%13
EC3R 81%01
EC3V 0150%1388
EC3V 320%28
EC3V 9203%1741
EC4A 11%01
EC4M 711%15
EC4M 9612%52150
EC4N 5116%1010
EC4R 028%240
EC4V 420%23
EC4V 52%02
EC4V 630%310
EC4Y 1109%925
EN1 1485%41540
EN1 215%17
EN1 3344%29367
EN1 45%05
EN2 090%855
EN2 6221%19112
EN2 716%18
EN2 87%15
EN2 921%24
EN3 4139%12133
EN3 5142%12161
EN3 613%117
EN3 711%113
EN4 0137%1258
EN4 885%768
EN4 98%14
EN5 1170%1588
EN5 27%17
EN5 329%27
EN5 596%861
HA0 1160%14155
HA0 241%436
HA0 335%324
HA0 425%224
HA1 1463%40372
HA1 2117%1096
HA1 375%6100
HA1 4231%20206
HA2 070%656
HA2 624%211
HA2 73%02
HA2 8123%11100
HA2 942%438
HA3 069%655
HA3 585%761
HA3 6113%1080
HA3 7112%1089
HA3 81%01
HA3 97%17
HA4 0419%36294
HA4 622%217
HA4 7134%1193
HA4 859%532
HA4 984%752
HA5 1136%1280
HA5 297%852
HA5 346%434
HA5 4369%31208
HA5 5159%1484
HA6 153%537
HA6 2247%21197
HA7 146%427
HA7 232%320
HA7 430%323
HA8 0134%11116
HA8 544%437
HA8 625%218
HA8 7399%34214
HA8 812%111
HA8 934%326
HA9 0263%22153
HA9 652%446
HA9 7681%58460
HA9 8130%11134
HA9 943%437
IG1 1284%24401
IG1 230%345
IG1 33%03
IG1 469%674
IG11 044%456
IG11 740%350
IG11 8376%32382
IG11 96%07
IG2 655%553
IG2 7127%11121
IG3 839%356
IG3 98%110
IG4 56%04
IG5 0139%12149
IG6 173%649
IG6 2250%21213
IG6 39%15
IG7 433%318
IG8 048%430
IG8 75%03
IG8 8124%1171
IG8 95%03
IG9 63%01
KT1 11162%99993
KT1 277%776
KT1 317%114
KT1 424%26
KT2 525%223
KT2 6120%1085
KT2 726%224
KT3 376%666
KT3 4164%14103
KT3 56%14
KT3 625%219
KT4 888%893
KT5 813%18
KT5 910%16
KT6 4162%1472
KT6 617%18
KT6 751%446
KT8 976%628
KT9 158%540
KT9 227%223
N1 0329%28330
N1 1446%38292
N1 2325%28289
N1 337%318
N1 424%213
N1 599%863
N1 646%441
N1 711%111
N1 8102%979
N1 9117%10174
N10 1139%1279
N10 23%02
N10 3187%16121
N11 1685%58619
N11 221%214
N11 3116%1067
N12 0106%967
N12 8193%16117
N12 986%748
N13 4568%48455
N13 553%543
N13 62%01
N14 415%111
N14 5360%31235
N14 649%426
N14 73%01
N15 352%436
N15 4561%48503
N15 536%326
N15 620%219
N16 038%321
N16 5294%25336
N16 62%02
N16 748%433
N16 8174%15134
N16 911%14
N17 050%454
N17 69%113
N17 726%218
N17 815%110
N17 9131%11150
N18 12%02
N18 282%7113
N18 3178%158
N19 3400%34329
N19 4108%969
N19 5104%9101
N1C 41498%128160
N2 810%14
N2 9180%1596
N20 07%15
N20 9156%1360
N21 113%17
N21 29%14
N21 342%421
N22 558%550
N22 6823%70915
N22 73%02
N3 155%538
N3 248%438
N3 34%02
N4 186%776
N4 292%8143
N4 3139%12106
N5 136%328
N5 26%04
N6 48%13
N6 5184%16118
N6 698%823
N7 0117%1094
N7 6613%52325
N7 741%425
N7 8191%16158
N7 981%773
N8 074%652
N8 720%212
N8 8130%1178
N8 972%644
N9 0172%15176
N9 76%04
N9 823%219
N9 95%06
NW1 043%447
NW1 15%05
NW1 212%118
NW1 334%332
NW1 4233%20125
NW1 5138%1257
NW1 677%770
NW1 7235%20209
NW1 8505%43466
NW1 980%764
NW10 0320%27302
NW10 117%111
NW10 2180%15128
NW10 38%15
NW10 4267%23198
NW10 5127%11101
NW10 63%02
NW10 7114%10190
NW10 820%220
NW10 911%18
NW11 0302%26131
NW11 635%315
NW11 742%420
NW11 8262%22122
NW11 95%03
NW2 193%868
NW2 2310%26152
NW2 384%745
NW2 475%634
NW2 517%110
NW2 643%439
NW2 785%778
NW3 1510%44191
NW3 2129%11176
NW3 366%640
NW3 4263%22130
NW3 5180%15102
NW3 6399%34236
NW4 1187%1692
NW4 266%642
NW4 3406%35382
NW4 4104%972
NW5 1158%13135
NW5 2316%27238
NW5 344%420
NW5 47%14
NW6 1160%14102
NW6 295%838
NW6 3139%1255
NW6 4421%36222
NW6 5102%981
NW6 6233%20145
NW6 7133%11101
NW7 1161%1492
NW7 232%318
NW7 3120%1057
NW8 0147%1374
NW8 6302%26108
NW8 7209%1896
NW8 811%110
NW8 97%14
NW9 0279%24237
NW9 545%462
NW9 657%539
NW9 754%525
NW9 8160%14111
NW9 9638%54464
RM1 1753%64337
RM1 257%526
RM1 3209%18131
RM1 411%110
RM10 7108%9106
RM10 8110%9103
RM10 911%113
RM11 1106%987
RM11 257%537
RM11 332%321
RM12 456%557
RM12 5203%17114
RM12 6120%1079
RM13 7255%22144
RM13 834%321
RM13 9109%9105
RM14 113%19
RM14 2443%38292
RM14 338%319
RM2 572%631
RM2 6210%1878
RM3 0196%17192
RM3 72%01
RM3 8232%20184
RM3 912%18
RM5 2165%1491
RM5 3138%1292
RM6 4468%40428
RM6 523%216
RM6 653%437
RM7 068%684
RM7 7104%931
RM7 8211%1890
RM7 912%15
RM8 128%227
RM8 211%111
RM8 334%326
RM9 4164%14138
RM9 511%19
RM9 6197%17161
SE1 079%7186
SE1 141%356
SE1 273%6194
SE1 333%336
SE1 4118%10111
SE1 5201%17164
SE1 6108%972
SE1 776%7199
SE1 8124%11157
SE1 935%374
SE10 0278%24233
SE10 835%321
SE10 9611%52483
SE11 434%322
SE11 59%17
SE11 610%15
SE12 034%321
SE12 822%213
SE12 958%533
SE13 5101%985
SE13 650%459
SE13 7287%25302
SE14 525%224
SE14 6144%12111
SE15 138%323
SE15 268%653
SE15 376%664
SE15 446%424
SE15 5850%72653
SE15 621%217
SE16 218%214
SE16 324%219
SE16 453%523
SE16 5227%1967
SE16 7132%1157
SE17 1342%29174
SE17 2709%61665
SE17 323%218
SE18 140%340
SE18 281%750
SE18 312%19
SE18 472%669
SE18 514%110
SE18 6261%22300
SE18 719%217
SE19 122%212
SE19 215%17
SE19 349%434
SE2 016%112
SE2 9150%13146
SE20 7477%41357
SE20 8352%30256
SE21 813%19
SE22 047%426
SE22 8181%15132
SE22 944%420
SE23 1211%18130
SE23 375%651
SE24 022%212
SE24 928%215
SE25 433%326
SE25 569%645
SE25 678%766
SE26 4227%19140
SE26 535%322
SE26 62%01
SE27 0134%11102
SE27 9143%1291
SE28 03%03
SE28 8131%11163
SE3 0361%31177
SE3 728%214
SE3 810%16
SE3 977%740
SE4 116%115
SE4 2126%1195
SE5 0265%23180
SE5 76%15
SE5 8222%19258
SE5 917%124
SE6 114%114
SE6 282%789
SE6 345%436
SE6 4300%26255
SE7 7139%12138
SE7 8173%15123
SE8 3365%31235
SE8 4354%30209
SE8 5164%14108
SE9 1145%12110
SE9 2144%12113
SE9 313%111
SE9 4120%1092
SE9 536%320
SE9 6317%27202
SM1 1487%42336
SM1 23%03
SM1 34%04
SM1 453%543
SM2 515%115
SM2 62%01
SM3 821%213
SM3 999%889
SM4 47%16
SM4 5210%18172
SM4 64%03
SM5 153%444
SM5 2137%12100
SM5 3258%22142
SM6 0271%23137
SM6 784%738
SM6 845%433
SM6 9212%18167
SW10 044%448
SW10 9288%25204
SW11 1615%52400
SW11 254%540
SW11 3218%19194
SW11 446%428
SW11 5208%18192
SW11 618%211
SW12 017%17
SW12 834%326
SW12 9955%81531
SW13 047%421
SW13 811%11
SW13 933%318
SW14 7140%1270
SW14 823%215
SW15 1338%29242
SW15 257%544
SW15 366%643
SW15 455%541
SW15 55%04
SW15 6128%1170
SW16 1524%45356
SW16 250%449
SW16 375%643
SW16 4504%43431
SW16 5127%11128
SW16 683%775
SW17 0110%9185
SW17 7156%13145
SW17 86%16
SW17 9220%19221
SW18 178%771
SW18 255%535
SW18 34%03
SW18 4179%15177
SW18 567%654
SW19 1603%51513
SW19 2386%33349
SW19 332%331
SW19 432%324
SW19 551%422
SW19 7168%1490
SW19 8157%13168
SW1A 0220%199
SW1A 13%02
SW1A 220%224
SW1E 5422%36260
SW1E 624%217
SW1H 024%220
SW1P 123%224
SW1P 224%238
SW1P 31%01
SW1P 48%18
SW1V 162%540
SW1V 2102%944
SW1V 363%533
SW1V 43%01
SW1W 02%02
SW1W 8297%25147
SW1W 952%445
SW1X 0108%923
SW1X 768%649
SW1X 861%523
SW1X 9185%1685
SW1Y 422%214
SW1Y 51%01
SW1Y 6162%1486
SW2 155%528
SW2 216%110
SW2 3156%13119
SW2 4117%1066
SW2 549%435
SW20 087%753
SW20 899%864
SW20 919%29
SW3 1349%30271
SW3 2168%1492
SW3 3146%1275
SW3 4225%19111
SW3 523%210
SW3 69%15
SW4 0130%1161
SW4 679%744
SW4 71001%85465
SW4 817%17
SW4 923%213
SW5 9335%29200
SW6 1295%25203
SW6 251%449
SW6 488%755
SW6 5117%1058
SW6 631%321
SW6 769%646
SW7 12%01
SW7 212%111
SW7 324%29
SW7 496%847
SW7 516%111
SW8 1402%34346
SW8 2135%12106
SW8 388%843
SW8 4135%1293
SW8 5343%29143
SW9 019%211
SW9 638%320
SW9 772%650
SW9 8715%61355
SW9 9155%13111
TN16 210%12
TN16 391%873
TW1 140%322
TW1 219%27
TW1 3315%27174
TW1 419%212
TW10 595%821
TW10 618%212
TW10 720%210
TW11 02%01
TW11 8127%1193
TW11 960%535
TW12 1179%1599
TW12 215%110
TW12 35%02
TW13 4313%27315
TW13 517%111
TW13 652%432
TW13 72%01
TW14 038%334
TW14 824%223
TW14 919%214
TW2 5120%1074
TW2 694%859
TW2 7103%977
TW3 1990%84936
TW3 27%14
TW3 392%879
TW3 41%01
TW4 572%653
TW4 61%01
TW4 739%328
TW5 0182%16153
TW5 949%467
TW6 220%26
TW6 3248%2143
TW7 421%212
TW7 536%341
TW7 619%218
TW7 738%323
TW8 037%328
TW8 8649%55339
TW8 954%550
TW9 1461%39316
TW9 220%211
TW9 313%15
TW9 4148%1376
UB1 1233%20200
UB1 23%04
UB1 325%224
UB10 0130%1196
UB10 819%215
UB10 918%213
UB11 1166%142
UB2 4316%27416
UB2 5107%9152
UB3 110%113
UB3 2100%994
UB3 3282%24223
UB3 4418%36332
UB3 587%758
UB4 075%664
UB4 823%221
UB4 9114%1089
UB5 428%227
UB5 521%218
UB5 623%227
UB6 067%660
UB6 74%03
UB6 874%6102
UB6 9113%10115
UB7 03%09
UB7 7459%39313
UB7 84%03
UB7 917%111
UB8 1366%31441
UB8 224%241
UB8 313%121
UB9 637%325
W10 421%215
W10 558%569
W10 6147%13134
W11 1132%1196
W11 2431%37242
W11 3411%35193
W11 41022%87850
W12 04%06
W12 7124%11277
W12 8898%77765
W12 9106%988
W13 0129%1188
W13 8104%952
W13 9252%22224
W14 08%17
W14 830%331
W14 950%450
W1B 253%419
W1B 3138%121
W1B 41016%8783
W1B 51419%121302
W1C 12268%194108
W1C 242%42
W1D 210069%859116
W1D 3102%942
W1D 475%618
W1D 579%723
W1D 7131%1140
W1F 0188%1696
W1F 7451%38341
W1F 8196%17127
W1F 9198%17122
W1G 0493%4251
W1G 683%724
W1G 880%728
W1G 91%01
W1H 17%12
W1H 242%45
W1H 5262%2270
W1H 645%412
W1H 7660%56287
W1J 0279%2463
W1J 52%01
W1J 685%743
W1J 72%01
W1J 826%29
W1K 224%211
W1K 314%18
W1K 437%38
W1K 5377%32119
W1K 6178%1540
W1K 722%25
W1S 1302%26287
W1S 2128%1171
W1S 3442%3883
W1S 4203%17105
W1T 166%664
W1T 2275%24103
W1T 3104%950
W1T 421%212
W1T 597%860
W1T 7333%2886
W1U 11884%161768
W1U 2158%1341
W1U 332%313
W1U 4962%82178
W1U 575%620
W1U 6360%3192
W1U 735%310
W1W 545%413
W1W 633%321
W1W 79%15
W1W 8192%1692
W2 195%8166
W2 231%319
W2 3254%22145
W2 4133%1187
W2 550%438
W2 670%689
W3 048%433
W3 681%790
W3 754%559
W3 828%229
W3 9408%35224
W4 1117%1079
W4 212%110
W4 337%325
W4 4284%24145
W4 580%786
W5 129%221
W5 2772%66754
W5 3118%1094
W5 458%547
W5 5532%45370
W6 088%7118
W6 726%226
W6 869%675
W6 9321%27403
W7 16%14
W7 29%15
W7 380%757
W8 4141%1275
W8 568%663
W8 6184%16109
W8 785%748
W9 1139%1298
W9 2118%1086
W9 3242%21223
WC1A 1134%1127
WC1A 260%517
WC1B 3207%18163
WC1B 519%23
WC1E 6115%1073
WC1E 717%18
WC1H 07%14
WC1H 814%15
WC1H 923%218
WC1N 171%634
WC1N 32%02
WC1R 43%02
WC1R 511%14
WC1V 641%311
WC1V 7765%65162
WC1X 025%29
WC1X 8130%1162
WC1X 910%14
WC2A 217%11
WC2A 328%218
WC2B 45%02
WC2B 59%112
WC2B 6918%7857
WC2E 723%225
WC2E 8599%51118
WC2E 9376%32214
WC2H 0725%62135
WC2H 764%621
WC2H 8131%1154
WC2H 9328%28267
WC2N 474%636
WC2N 5112%10117
WC2N 688%742
WC2R 0363%3171
WC2R 13%01
WC2R 269%64

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 89.4k, and this number has increased by 17.5% when compared year-over-year in the period of October 2024 - September 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 October 2024 - September 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.

+17.5% annual change, crime is increasing

89.4k 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 September 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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