London shoplifting crime statistics

As of January 2026, the annual crime rate in London region stands at 10.1 crimes per 1000 people. London's current crime levels are at 121% of the national crime rate. Shoplifting crime makes up 7.7% of all crimes reported in the region. The total number of "shoplifting crime" is 87.8k, and this number has increased by 4.1% when compared year-over-year in the period of January 2025 - December 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%
87.8kcrimes reported469k
4.1%annual change-1.2%

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 1655%55552
BR1 214%112
BR1 3170%14162
BR1 470%662
BR1 5118%10122
BR2 027%221
BR2 65%01
BR2 717%110
BR2 820%215
BR2 959%562
BR3 1274%23180
BR3 353%451
BR3 424%222
BR3 598%837
BR3 66%12
BR4 0129%1183
BR4 947%430
BR5 1138%12103
BR5 227%225
BR5 3283%24250
BR5 46%04
BR6 0303%25262
BR6 660%526
BR6 73%02
BR6 8100%863
BR6 994%884
BR7 513%16
BR7 6109%978
CR0 057%571
CR0 1385%32610
CR0 2145%12256
CR0 3144%12202
CR0 4185%15356
CR0 52%02
CR0 6209%18278
CR0 721%220
CR0 8276%23213
CR0 918%212
CR2 018%111
CR2 653%444
CR2 870%651
CR2 913%16
CR4 125%224
CR4 2107%985
CR4 322%225
CR4 42%02
CR5 13%02
CR5 2155%13114
CR7 6118%1068
CR7 76%07
CR7 878%791
CR8 2116%1077
CR8 43%01
CR8 5156%1379
DA1 4115%10103
DA14 5110%966
DA14 6168%14121
DA15 7109%948
DA15 847%441
DA15 934%318
DA16 1340%29247
DA16 215%112
DA16 363%541
DA17 572%644
DA17 6380%32246
DA5 134%316
DA5 29%13
DA5 333%316
DA6 7408%34255
DA6 855%526
DA7 4164%14135
DA7 5100%865
DA7 65%03
DA8 169%667
DA8 2131%11108
DA8 317%112
E1 026%220
E1 1265%22195
E1 273%656
E1 32%01
E1 4285%24420
E1 559%551
E1 6146%12264
E1 756%5102
E1 881%7134
E10 556%562
E10 622%230
E10 7106%9114
E11 1783%66631
E11 2253%21191
E11 389%784
E11 473%672
E12 577%685
E12 610%117
E13 0309%26361
E13 813%115
E13 976%692
E14 018%216
E14 2134%1119
E14 352%453
E14 4156%13243
E14 537%3209
E14 6137%11111
E14 765%562
E14 813%119
E14 947%4106
E15 1197%17241
E15 21442%1211349
E15 329%228
E15 4547%46609
E16 1797%67669
E16 246%443
E16 343%441
E16 411%111
E17 345%444
E17 411%114
E17 530%335
E17 6118%10139
E17 7282%24229
E17 829%229
E17 928%224
E18 1384%32191
E18 236%325
E1W 1126%1157
E1W 2441%37195
E1W 33%01
E2 0156%13123
E2 694%854
E2 7133%1187
E2 8148%1295
E2 9219%18163
E3 277%672
E3 3155%13139
E3 458%558
E3 5134%11110
E4 619%220
E4 772%667
E4 8495%42499
E4 977%689
E5 063%563
E5 8118%10114
E5 982%788
E6 1100%8124
E6 2149%13193
E6 332%343
E6 538%338
E6 6216%18268
E7 0179%15159
E7 861%596
E7 93%04
E8 1291%24234
E8 2312%26220
E8 3139%12104
E8 445%431
E9 596%895
E9 6186%16196
E9 7220%18182
EC1A 23%01
EC1A 9149%1244
EC1M 31707%143144
EC1M 570%634
EC1M 628%214
EC1N 72%01
EC1N 8170%14118
EC1R 4129%1143
EC1R 520%24
EC1V 1272%2325
EC1V 236%39
EC1V 327%28
EC1V 4108%935
EC1V 79%13
EC1V 9655%55385
EC1Y 010%12
EC1Y 1506%4251
EC1Y 814%115
EC2A 1148%1226
EC2A 237%36
EC2A 348%436
EC2A 48%110
EC2M 13%01
EC2M 3202%1740
EC2M 4100%8109
EC2M 5353%3070
EC2M 7100%879
EC2V 6256%21125
EC2V 8110%931
EC2Y 875%6111
EC2Y 918%26
EC3A 5147%1279
EC3A 711%13
EC3N 1100%861
EC3N 241%333
EC3N 422%211
EC3R 517%19
EC3R 82%02
EC3V 0201%17116
EC3V 318%17
EC3V 9328%2865
EC4A 11%01
EC4M 735%315
EC4M 9946%79228
EC4N 595%88
EC4R 036%350
EC4R 112%11
EC4V 448%47
EC4V 52%02
EC4V 679%726
EC4Y 1156%1335
EN1 1464%39507
EN1 215%17
EN1 3465%39488
EN1 411%110
EN2 071%643
EN2 6235%20117
EN2 722%211
EN2 85%04
EN2 922%24
EN3 4145%12136
EN3 591%8102
EN3 613%117
EN3 714%116
EN4 0137%1257
EN4 890%870
EN4 94%02
EN5 1203%17103
EN5 211%111
EN5 321%25
EN5 5115%1072
HA0 1179%15170
HA0 246%440
HA0 337%325
HA0 429%227
HA1 1380%32300
HA1 288%771
HA1 374%697
HA1 4167%14146
HA2 056%544
HA2 644%420
HA2 75%03
HA2 8154%13123
HA2 935%331
HA3 075%658
HA3 567%647
HA3 6171%14119
HA3 7162%14127
HA3 82%02
HA3 94%04
HA4 0470%39324
HA4 620%215
HA4 7138%1294
HA4 865%535
HA4 949%430
HA5 1158%1391
HA5 2121%1064
HA5 360%543
HA5 4256%21142
HA5 5191%1699
HA6 163%543
HA6 2204%17160
HA7 133%319
HA7 235%321
HA7 446%435
HA8 0174%15148
HA8 540%333
HA8 629%221
HA8 7355%30187
HA8 814%113
HA8 931%323
HA9 0283%24162
HA9 650%444
HA9 7649%54431
HA9 8127%11129
HA9 955%547
IG1 1305%26423
IG1 231%346
IG1 33%03
IG1 466%670
IG11 025%231
IG11 743%453
IG11 8346%29346
IG11 97%19
IG2 657%554
IG2 7114%10107
IG3 848%467
IG3 911%113
IG4 54%03
IG5 0166%14175
IG6 166%643
IG6 2256%21214
IG6 37%14
IG7 436%319
IG8 039%324
IG8 75%03
IG8 898%855
IG8 94%02
IG9 63%01
KT1 11255%1051054
KT1 277%675
KT1 318%215
KT1 424%26
KT2 527%224
KT2 689%762
KT2 722%220
KT3 379%768
KT3 4146%1290
KT3 53%02
KT3 620%215
KT4 896%899
KT5 821%213
KT5 915%19
KT6 4238%20104
KT6 616%17
KT6 751%445
KT8 953%419
KT9 150%434
KT9 227%222
N1 0329%28324
N1 1447%37287
N1 2399%33348
N1 367%632
N1 48%14
N1 5139%1287
N1 651%445
N1 714%113
N1 8103%978
N1 9138%12201
N10 1204%17114
N10 24%02
N10 3176%15112
N11 1651%55578
N11 217%111
N11 3134%1176
N12 091%856
N12 8173%14103
N12 9111%961
N13 4249%21196
N13 564%551
N13 65%02
N14 413%19
N14 5279%23179
N14 679%741
N15 353%436
N15 4641%54565
N15 552%437
N15 620%218
N16 039%321
N16 5167%14188
N16 62%02
N16 758%539
N16 8190%16144
N16 911%14
N17 041%343
N17 611%115
N17 754%436
N17 89%16
N17 9136%11153
N18 12%02
N18 274%6101
N18 3203%179
N19 3393%33317
N19 492%858
N19 5120%10115
N1C 41505%126158
N2 85%02
N2 9180%1594
N20 011%18
N20 9185%1670
N21 123%212
N21 27%13
N21 328%214
N22 586%773
N22 6717%60783
N22 71%01
N22 82%01
N3 153%436
N3 243%434
N3 312%16
N4 1101%988
N4 2110%9168
N4 3115%1086
N4 43%01
N5 128%221
N5 26%04
N6 48%13
N6 5227%19143
N6 6122%1028
N7 0145%12114
N7 6507%42264
N7 730%318
N7 8197%16160
N7 9108%996
N8 071%649
N8 732%319
N8 8180%15106
N8 951%431
N9 0178%15179
N9 77%15
N9 824%220
N9 94%04
NW1 035%338
NW1 16%06
NW1 215%123
NW1 334%332
NW1 4266%22140
NW1 5140%1257
NW1 6142%12127
NW1 7226%19197
NW1 8268%22243
NW1 986%768
NW10 0327%27304
NW10 117%111
NW10 2158%13110
NW10 32%01
NW10 4285%24208
NW10 5121%1094
NW10 63%02
NW10 7118%10192
NW10 816%116
NW10 98%16
NW11 0315%26134
NW11 614%16
NW11 747%422
NW11 8324%27148
NW11 95%03
NW2 1114%1082
NW2 2235%20113
NW2 395%850
NW2 476%634
NW2 519%211
NW2 637%333
NW2 791%882
NW3 1492%41181
NW3 2132%11177
NW3 386%751
NW3 4202%1798
NW3 5185%16103
NW3 6332%28193
NW4 1221%19107
NW4 2100%863
NW4 3388%33359
NW4 486%758
NW5 1149%12125
NW5 2306%26226
NW5 336%316
NW5 47%14
NW6 1201%17126
NW6 2117%1046
NW6 3139%1254
NW6 4535%45277
NW6 5101%879
NW6 6268%22164
NW6 7129%1196
NW7 1182%15102
NW7 216%19
NW7 3154%1372
NW8 0140%1269
NW8 6281%2499
NW8 7226%19102
NW8 89%18
NW8 98%14
NW9 0219%18183
NW9 540%354
NW9 683%756
NW9 748%422
NW9 8147%12100
NW9 9463%39331
RM1 1762%64335
RM1 265%529
RM1 3220%18136
RM1 412%110
RM10 766%664
RM10 8127%11117
RM10 912%114
RM11 196%877
RM11 278%750
RM11 331%320
RM12 468%668
RM12 5230%19127
RM12 693%860
RM13 7222%19123
RM13 838%323
RM13 9154%13146
RM14 110%17
RM14 2388%33251
RM14 328%214
RM2 585%736
RM2 6148%1254
RM3 0167%14161
RM3 8192%16150
RM3 911%17
RM5 2164%1489
RM5 3167%14110
RM6 4498%42447
RM6 527%219
RM6 648%433
RM7 076%693
RM7 7122%1036
RM7 8179%1575
RM7 910%14
RM8 128%226
RM8 215%115
RM8 325%219
RM9 4129%11107
RM9 511%19
RM9 6168%14135
SE1 077%6177
SE1 141%356
SE1 262%5161
SE1 341%344
SE1 4136%11126
SE1 5207%17166
SE1 6119%1078
SE1 789%7228
SE1 8145%12181
SE1 933%368
SE10 0284%24234
SE10 855%532
SE10 9483%41375
SE11 442%427
SE11 57%16
SE11 617%19
SE12 041%325
SE12 825%214
SE12 959%533
SE13 5175%15145
SE13 649%457
SE13 7300%25310
SE14 527%225
SE14 6172%14130
SE15 144%426
SE15 266%651
SE15 388%773
SE15 448%425
SE15 5434%36328
SE15 627%221
SE16 220%215
SE16 323%218
SE16 449%421
SE16 5245%2171
SE16 7130%1155
SE17 1230%19115
SE17 2369%31340
SE17 333%325
SE18 150%449
SE18 292%856
SE18 39%17
SE18 444%441
SE18 510%17
SE18 6305%26344
SE18 715%113
SE19 121%211
SE19 213%16
SE19 350%434
SE2 07%15
SE2 9149%12142
SE20 7546%46401
SE20 8243%20174
SE21 819%213
SE22 043%423
SE22 8247%21177
SE22 943%419
SE23 1223%19135
SE23 385%757
SE24 018%210
SE24 925%213
SE25 450%439
SE25 584%754
SE25 679%765
SE26 4216%18131
SE26 534%321
SE26 62%01
SE27 0143%12107
SE27 9170%14106
SE28 02%02
SE28 8121%10148
SE3 0313%26151
SE3 727%213
SE3 810%16
SE3 992%847
SE4 115%114
SE4 2129%1196
SE5 0320%27213
SE5 78%16
SE5 8121%10138
SE5 911%115
SE6 114%114
SE6 287%792
SE6 357%545
SE6 4247%21206
SE7 7141%12138
SE7 8203%17142
SE8 3337%28213
SE8 4366%31212
SE8 5204%17132
SE9 1155%13115
SE9 2178%15137
SE9 39%17
SE9 4105%979
SE9 542%423
SE9 6333%28209
SM1 1485%41329
SM1 26%05
SM1 36%16
SM1 464%551
SM2 512%112
SM2 62%01
SM3 823%214
SM3 9108%996
SM4 46%15
SM4 5224%19180
SM4 64%03
SM5 139%332
SM5 2223%19160
SM5 3322%27174
SM6 0232%19115
SM6 786%738
SM6 831%322
SM6 9198%17153
SW10 053%456
SW10 9348%29242
SW11 1602%51385
SW11 252%438
SW11 3145%12127
SW11 432%319
SW11 588%780
SW11 617%110
SW12 022%29
SW12 839%329
SW12 9919%77502
SW13 045%420
SW13 811%11
SW13 920%211
SW14 7157%1377
SW14 819%212
SW15 1395%33278
SW15 264%549
SW15 356%536
SW15 434%325
SW15 58%16
SW15 6115%1062
SW16 1561%47375
SW16 250%449
SW16 359%533
SW16 4428%36360
SW16 5111%9110
SW16 678%769
SW17 0106%9175
SW17 7179%15164
SW17 84%04
SW17 9225%19222
SW18 1117%10104
SW18 249%431
SW18 35%04
SW18 4209%18203
SW18 570%655
SW19 1366%31306
SW19 2342%29304
SW19 320%219
SW19 429%222
SW19 561%526
SW19 62%01
SW19 7207%17109
SW19 8176%15185
SW1A 0423%3517
SW1A 12%01
SW1A 223%227
SW1E 5434%36263
SW1E 624%217
SW1H 025%220
SW1P 135%336
SW1P 232%351
SW1P 31%01
SW1P 49%19
SW1V 160%538
SW1V 2111%947
SW1V 373%638
SW1V 43%01
SW1W 08%17
SW1W 8274%23133
SW1W 977%666
SW1X 0119%1025
SW1X 756%540
SW1X 857%521
SW1X 9204%1792
SW1Y 424%215
SW1Y 53%02
SW1Y 6188%1698
SW2 160%530
SW2 216%110
SW2 3169%14127
SW2 4148%1282
SW2 548%434
SW20 095%857
SW20 8112%971
SW20 913%16
SW3 1405%34309
SW3 2145%1278
SW3 3187%1694
SW3 4225%19109
SW3 539%317
SW3 611%16
SW4 0227%19105
SW4 671%639
SW4 7929%78424
SW4 832%313
SW4 928%215
SW5 9281%24165
SW6 1302%25204
SW6 242%440
SW6 4101%862
SW6 5125%1061
SW6 68%15
SW6 758%538
SW7 15%02
SW7 212%111
SW7 330%211
SW7 485%741
SW7 514%19
SW8 1345%29292
SW8 2153%13118
SW8 396%846
SW8 4151%13102
SW8 5388%33159
SW9 028%216
SW9 639%320
SW9 764%544
SW9 8756%63369
SW9 9183%15129
TN16 215%13
TN16 358%546
TW1 133%318
TW1 222%28
TW1 3292%25159
TW1 416%110
TW10 569%615
TW10 611%17
TW10 716%18
TW11 02%01
TW11 8118%1085
TW11 942%424
TW12 1230%19125
TW12 232%321
TW12 325%211
TW13 4288%24285
TW13 516%110
TW13 684%751
TW13 74%02
TW14 036%331
TW14 826%224
TW14 918%113
TW2 5123%1075
TW2 674%646
TW2 798%872
TW3 11038%87964
TW3 22%01
TW3 3101%986
TW3 43%02
TW4 585%761
TW4 61%01
TW4 739%327
TW5 0183%15151
TW5 951%469
TW6 224%27
TW6 3193%1633
TW7 418%110
TW7 530%334
TW7 625%223
TW7 742%425
TW8 037%328
TW8 8487%41250
TW8 950%445
TW9 1419%35282
TW9 217%19
TW9 319%27
TW9 4160%1381
UB1 1223%19188
UB1 23%04
UB1 323%221
UB10 0128%1193
UB10 818%214
UB10 914%110
UB11 1169%142
UB2 4358%30463
UB2 598%8136
UB3 18%110
UB3 281%774
UB3 3488%41380
UB3 4421%35328
UB3 543%428
UB4 074%662
UB4 821%219
UB4 9113%987
UB5 426%225
UB5 531%326
UB5 618%221
UB6 082%772
UB6 76%04
UB6 867%691
UB6 9145%12145
UB7 01%05
UB7 7419%35281
UB7 88%16
UB7 914%19
UB8 1368%31436
UB8 223%239
UB8 312%119
UB9 642%428
W10 423%216
W10 545%453
W10 6189%16169
W11 1141%12101
W11 2384%32212
W11 3367%31169
W11 41128%95922
W12 02%03
W12 7141%12310
W12 8908%76760
W12 9121%1099
W13 0149%13100
W13 888%743
W13 9199%17174
W14 07%16
W14 830%230
W14 952%451
W1B 279%728
W1B 4872%7370
W1B 51329%111278
W1C 12223%186104
W1C 2129%116
W1D 28569%71997
W1D 3111%945
W1D 4107%925
W1D 587%725
W1D 7107%932
W1F 0211%18106
W1F 7546%46406
W1F 8202%17129
W1F 9168%14102
W1G 0443%3745
W1G 691%826
W1G 876%626
W1G 91%01
W1H 110%13
W1H 261%57
W1H 5278%2373
W1H 649%413
W1H 7766%64327
W1J 0306%2668
W1J 52%01
W1J 668%634
W1J 77%14
W1J 818%16
W1K 224%211
W1K 320%211
W1K 428%26
W1K 5435%36135
W1K 6547%46121
W1K 744%410
W1S 1375%31351
W1S 2112%961
W1S 3401%3474
W1S 4205%17104
W1T 165%562
W1T 2378%32139
W1T 3112%953
W1T 425%214
W1T 596%858
W1T 7438%37111
W1U 11985%166795
W1U 2184%1547
W1U 335%314
W1U 41023%86186
W1U 561%516
W1U 6439%37110
W1U 728%28
W1W 556%516
W1W 633%321
W1W 76%03
W1W 8225%19106
W2 194%8162
W2 238%323
W2 3251%21141
W2 4137%1288
W2 540%330
W2 680%7100
W3 049%433
W3 6101%9111
W3 797%8104
W3 841%341
W3 9196%16106
W4 1104%969
W4 215%113
W4 340%326
W4 4265%22133
W4 594%899
W5 130%221
W5 2510%43489
W5 3114%1089
W5 463%550
W5 5524%44358
W6 086%7113
W6 734%334
W6 880%785
W6 9322%27398
W7 114%19
W7 29%15
W7 363%544
W8 4143%1275
W8 568%662
W8 6206%17120
W8 768%638
W9 1140%1297
W9 2168%14120
W9 3327%27296
WC1A 191%818
WC1A 236%310
WC1B 3211%18163
WC1B 557%59
WC1E 6136%1185
WC1E 721%210
WC1H 04%02
WC1H 815%15
WC1H 928%222
WC1N 170%633
WC1N 34%04
WC1R 45%03
WC1R 56%02
WC1V 649%413
WC1V 7899%75187
WC1X 031%311
WC1X 8135%1163
WC1X 910%14
WC2A 218%11
WC2A 329%218
WC2B 45%02
WC2B 59%112
WC2B 6966%8159
WC2E 714%115
WC2E 8583%49113
WC2E 9431%36241
WC2H 0787%66144
WC2H 756%518
WC2H 8125%1151
WC2H 9341%29273
WC2N 4135%1165
WC2N 5103%9105
WC2N 687%741
WC2R 0462%3989
WC2R 13%01
WC2R 235%32
WC2R 34%01

London shoplifting crime rate rank

Crime rate ranking : London region has the 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 87.8k, and this number has increased by 4.1% when compared year-over-year in the period of January 2025 - December 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 January 2025 - December 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.

+4.1% annual change, crime is increasing

87.8k 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 December 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 2021 till 2025.

London shoplifting crime seasonality

Plumplot area insights - interactive charts and maps

Plumplot area insights - interactive maps and charts

Next for London region

→ Crime stats  

→ Population statistics  

→ Home features  

→ Energy costs  

→ Property prices  

→ Salary and unemployment  

→ Home energy efficiency  

Homeimage/svg+xmlhttps://openclipart.org/detail/170282/eco-green-house-icon-by-cybergedeondominiquechappard