London shoplifting crime statistics

As of February 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. Shoplifting crime totalled 87.4k representing an increase 1.4% year-over-year.

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 people8.3
121%ratio of national crime rate100%
7.7% share of all crimes8.3%
87.4kcrimes reported465k
1.4%annual change-2.8%

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%53534
BR1 210%19
BR1 3168%14159
BR1 4113%9100
BR1 5143%12146
BR2 028%221
BR2 65%01
BR2 716%19
BR2 817%113
BR2 956%558
BR3 1269%22175
BR3 354%452
BR3 430%227
BR3 597%836
BR3 66%12
BR4 0136%1187
BR4 940%325
BR5 1123%1091
BR5 230%228
BR5 3270%22236
BR5 46%04
BR6 0296%25254
BR6 660%526
BR6 73%02
BR6 8104%965
BR6 986%776
BR7 519%29
BR7 693%866
CR0 057%571
CR0 1383%32600
CR0 2130%11226
CR0 3188%16261
CR0 4180%15344
CR0 52%02
CR0 6209%17275
CR0 719%218
CR0 8284%24217
CR0 912%18
CR2 018%111
CR2 658%548
CR2 865%547
CR2 99%14
CR4 129%228
CR4 288%769
CR4 324%227
CR4 42%02
CR5 13%02
CR5 2143%12104
CR7 6118%1067
CR7 76%18
CR7 884%797
CR8 2117%1077
CR8 43%01
CR8 5169%1485
DA1 4111%999
DA14 5103%961
DA14 6163%14116
DA15 7108%947
DA15 846%440
DA15 946%424
DA16 1322%27232
DA16 214%111
DA16 357%537
DA17 575%645
DA17 6400%33256
DA5 130%214
DA5 29%13
DA5 331%315
DA6 7413%34256
DA6 851%424
DA7 4158%13129
DA7 590%758
DA7 65%03
DA8 162%560
DA8 2126%10103
DA8 320%214
E1 026%220
E1 1243%20177
E1 260%546
E1 32%01
E1 4285%24416
E1 556%548
E1 6144%12257
E1 757%5102
E1 882%7134
E10 558%564
E10 625%233
E10 799%8105
E11 1850%71678
E11 2290%24217
E11 392%886
E11 472%670
E12 580%788
E12 611%119
E13 0286%24331
E13 813%115
E13 981%797
E14 018%216
E14 2178%1525
E14 355%556
E14 4156%13241
E14 538%3213
E14 6148%12119
E14 762%559
E14 813%119
E14 948%4107
E15 1186%15225
E15 21481%1231372
E15 332%330
E15 4512%43565
E16 1773%64643
E16 243%440
E16 342%440
E16 413%113
E17 336%335
E17 410%112
E17 530%335
E17 6112%9131
E17 7297%25239
E17 833%333
E17 928%224
E18 1418%35206
E18 231%321
E1W 1132%1159
E1W 2462%38202
E1W 33%01
E2 0165%14129
E2 695%854
E2 7139%1290
E2 8139%1288
E2 9234%19173
E3 287%781
E3 3156%13139
E3 455%554
E3 5127%11103
E4 619%219
E4 768%662
E4 8474%39473
E4 975%686
E5 067%667
E5 8125%10119
E5 9102%8108
E6 199%8121
E6 2137%11175
E6 333%344
E6 536%335
E6 6206%17253
E7 0169%14149
E7 863%598
E7 93%04
E8 1303%25241
E8 2291%24203
E8 3154%13114
E8 444%430
E9 590%788
E9 6169%14176
E9 7244%20200
EC1A 23%01
EC1A 9205%1760
EC1M 31700%141142
EC1M 571%634
EC1M 643%421
EC1N 72%01
EC1N 8199%17137
EC1R 4127%1142
EC1R 520%24
EC1V 1252%2123
EC1V 237%39
EC1V 335%310
EC1V 4128%1141
EC1V 79%13
EC1V 9658%55383
EC1Y 010%12
EC1Y 1631%5263
EC1Y 814%115
EC2A 1150%1226
EC2A 256%59
EC2A 345%433
EC2A 410%112
EC2M 3189%1637
EC2M 4109%9118
EC2M 5362%3071
EC2M 790%871
EC2V 6260%22126
EC2V 8100%828
EC2Y 878%6115
EC2Y 919%26
EC3A 5154%1382
EC3A 711%13
EC3N 198%859
EC3N 285%767
EC3N 420%210
EC3R 515%18
EC3R 73%01
EC3R 82%02
EC3V 0200%17114
EC3V 318%17
EC3V 9321%2763
EC4A 11%01
EC4M 740%317
EC4M 9964%80230
EC4N 596%88
EC4R 036%349
EC4R 112%11
EC4V 456%58
EC4V 52%02
EC4V 683%727
EC4Y 1139%1231
EN1 1441%37478
EN1 215%17
EN1 3493%41513
EN1 423%221
EN2 067%640
EN2 6225%19111
EN2 725%212
EN2 85%04
EN2 927%25
EN3 4145%12135
EN3 582%791
EN3 613%117
EN3 713%115
EN4 0119%1049
EN4 897%875
EN4 92%01
EN5 1222%18112
EN5 213%113
EN5 321%25
EN5 5118%1073
HA0 1192%16181
HA0 246%439
HA0 338%325
HA0 432%330
HA1 1376%31294
HA1 294%875
HA1 377%6101
HA1 4146%12127
HA2 050%439
HA2 651%423
HA2 77%14
HA2 8147%12116
HA2 936%332
HA3 071%655
HA3 563%544
HA3 6174%14120
HA3 7174%14135
HA3 82%02
HA3 95%05
HA4 0460%38314
HA4 620%215
HA4 7130%1188
HA4 860%532
HA4 945%427
HA5 1154%1388
HA5 2124%1065
HA5 360%543
HA5 4220%18121
HA5 5201%17103
HA6 162%542
HA6 2216%18168
HA7 131%318
HA7 233%320
HA7 460%545
HA8 0193%16163
HA8 538%331
HA8 631%322
HA8 7355%29185
HA8 815%114
HA8 924%218
HA9 0277%23157
HA9 645%439
HA9 7610%51401
HA9 8130%11131
HA9 954%445
IG1 1307%25422
IG1 229%242
IG1 34%04
IG1 468%671
IG11 022%227
IG11 747%458
IG11 8334%28330
IG11 98%110
IG2 658%554
IG2 7129%11120
IG3 848%466
IG3 910%112
IG4 54%03
IG5 0178%15186
IG6 162%540
IG6 2261%22216
IG6 35%03
IG7 436%319
IG8 034%321
IG8 79%15
IG8 892%851
IG8 94%02
IG9 63%01
KT1 11251%1041041
KT1 265%563
KT1 318%215
KT1 424%26
KT2 523%220
KT2 674%651
KT2 723%220
KT3 380%768
KT3 4137%1184
KT3 53%02
KT3 617%113
KT4 899%8101
KT5 826%216
KT5 919%211
KT6 4268%22116
KT6 618%18
KT6 749%443
KT8 950%418
KT9 148%432
KT9 222%218
N1 0326%27318
N1 1430%36274
N1 2403%33348
N1 374%635
N1 46%03
N1 5140%1287
N1 652%445
N1 712%111
N1 897%873
N1 9136%11197
N10 1219%18121
N10 22%01
N10 3183%15115
N11 1701%58616
N11 215%110
N11 3137%1177
N12 085%752
N12 8151%1389
N12 9109%959
N13 4197%16154
N13 562%549
N13 65%02
N14 414%110
N14 5247%21157
N14 684%743
N15 354%436
N15 4654%54571
N15 548%434
N15 617%115
N16 038%320
N16 5134%11149
N16 61%01
N16 757%538
N16 8202%17152
N16 919%27
N17 037%338
N17 69%112
N17 756%537
N17 812%18
N17 9133%11148
N18 12%02
N18 273%699
N18 3205%179
N19 3405%34324
N19 487%754
N19 5117%10111
N1C 41654%137172
N2 02%01
N2 83%01
N2 9172%1489
N20 013%19
N20 9227%1985
N21 125%213
N21 27%13
N21 337%318
N22 588%774
N22 6701%58759
N22 71%01
N22 82%01
N3 140%327
N3 263%549
N3 314%17
N4 1100%886
N4 2103%9156
N4 3129%1196
N4 46%02
N5 127%220
N5 27%15
N6 48%13
N6 5216%18135
N6 6132%1130
N7 0149%12116
N7 6451%37233
N7 732%319
N7 8197%16159
N7 9109%996
N8 067%646
N8 738%322
N8 8233%19136
N8 949%429
N9 0180%15179
N9 76%04
N9 821%217
N9 94%04
NW1 036%338
NW1 16%06
NW1 217%126
NW1 333%331
NW1 4246%20128
NW1 5139%1256
NW1 6165%14146
NW1 7222%18192
NW1 8260%22234
NW1 989%770
NW10 0327%27301
NW10 117%111
NW10 2143%1299
NW10 32%01
NW10 4280%23202
NW10 5126%1097
NW10 63%02
NW10 7119%10192
NW10 817%116
NW10 910%17
NW11 0294%24124
NW11 612%15
NW11 741%319
NW11 8367%30166
NW11 95%03
NW2 1130%1193
NW2 2239%20114
NW2 398%851
NW2 474%633
NW2 523%213
NW2 649%443
NW2 793%883
NW3 1466%39170
NW3 2134%11179
NW3 387%751
NW3 4193%1693
NW3 5182%15100
NW3 6316%26182
NW4 1275%23132
NW4 2114%971
NW4 3384%32352
NW4 489%760
NW5 1138%11115
NW5 2300%25220
NW5 334%315
NW5 45%03
NW6 1221%18137
NW6 2118%1046
NW6 3135%1152
NW6 4544%45279
NW6 5102%879
NW6 6303%25184
NW6 7135%11100
NW7 1196%16109
NW7 220%211
NW7 3147%1268
NW8 0137%1167
NW8 6284%2499
NW8 7226%19101
NW8 88%17
NW8 98%14
NW9 0194%16160
NW9 536%349
NW9 687%758
NW9 746%421
NW9 8152%13103
NW9 9380%32269
RM1 1744%62324
RM1 255%524
RM1 3231%19141
RM1 412%110
RM10 755%553
RM10 8138%12126
RM10 911%113
RM11 190%872
RM11 2103%965
RM11 322%214
RM12 470%670
RM12 5227%19124
RM12 692%859
RM13 7209%17115
RM13 835%321
RM13 9167%14157
RM14 111%17
RM14 2368%31236
RM14 325%212
RM2 598%841
RM2 6136%1149
RM3 0147%12140
RM3 8192%16148
RM3 914%19
RM5 2174%1493
RM5 3174%14113
RM6 4506%42450
RM6 530%321
RM6 644%430
RM7 075%691
RM7 7120%1035
RM7 8157%1365
RM7 913%15
RM8 127%225
RM8 216%115
RM8 320%215
RM9 4127%11104
RM9 511%19
RM9 6165%14131
SE1 072%6164
SE1 143%458
SE1 258%5151
SE1 348%451
SE1 4136%11124
SE1 5205%17163
SE1 6122%1079
SE1 787%7222
SE1 8158%13195
SE1 933%368
SE10 0292%24238
SE10 859%534
SE10 9458%38352
SE11 447%430
SE11 510%18
SE11 618%19
SE12 039%323
SE12 830%317
SE12 956%531
SE13 5204%17167
SE13 653%461
SE13 7303%25310
SE14 526%224
SE14 6173%14130
SE15 152%431
SE15 268%652
SE15 384%769
SE15 447%424
SE15 5386%32289
SE15 624%219
SE16 217%113
SE16 324%218
SE16 454%523
SE16 5240%2069
SE16 7147%1262
SE17 1260%22129
SE17 2344%29314
SE17 332%324
SE18 148%446
SE18 2100%860
SE18 38%16
SE18 447%444
SE18 510%17
SE18 6327%27365
SE18 715%113
SE19 129%215
SE19 213%16
SE19 362%542
SE2 04%03
SE2 9148%12140
SE20 7550%46400
SE20 8224%19159
SE21 823%216
SE22 041%322
SE22 8297%25211
SE22 941%318
SE23 1209%17125
SE23 380%753
SE24 018%210
SE24 925%213
SE25 453%441
SE25 5102%965
SE25 665%553
SE26 4225%19135
SE26 534%321
SE26 62%01
SE27 0147%12109
SE27 9162%13100
SE28 05%04
SE28 8116%10140
SE3 0310%26148
SE3 725%212
SE3 810%16
SE3 979%740
SE4 112%111
SE4 2135%1199
SE5 0342%28226
SE5 78%16
SE5 8114%9129
SE5 912%117
SE6 113%113
SE6 297%8102
SE6 378%661
SE6 4258%21213
SE7 7148%12143
SE7 8205%17142
SE8 3345%29216
SE8 4357%30205
SE8 5214%18137
SE9 1168%14124
SE9 2196%16150
SE9 38%16
SE9 495%871
SE9 540%322
SE9 6337%28209
SM1 1462%38310
SM1 27%16
SM1 36%16
SM1 461%548
SM2 510%110
SM2 62%01
SM3 817%110
SM3 9110%996
SM4 47%16
SM4 5235%19187
SM4 63%02
SM5 136%329
SM5 2259%22184
SM5 3335%28179
SM6 0215%18106
SM6 789%739
SM6 824%217
SM6 9208%17159
SW10 059%562
SW10 9356%30245
SW11 1591%49374
SW11 257%541
SW11 3126%10109
SW11 429%217
SW11 564%558
SW11 615%19
SW12 017%17
SW12 841%330
SW12 9918%76497
SW13 043%419
SW13 920%211
SW14 7131%1164
SW14 820%213
SW15 1399%33278
SW15 256%542
SW15 356%536
SW15 430%322
SW15 58%16
SW15 6114%961
SW16 1511%42338
SW16 250%448
SW16 359%533
SW16 4423%35352
SW16 5103%9101
SW16 677%668
SW17 096%8157
SW17 7181%15164
SW17 84%04
SW17 9206%17201
SW18 1121%10107
SW18 255%534
SW18 35%04
SW18 4220%18211
SW18 571%656
SW19 1341%28282
SW19 2323%27284
SW19 318%117
SW19 430%222
SW19 562%526
SW19 62%01
SW19 7207%17108
SW19 8173%14180
SW1A 0427%3517
SW1A 12%01
SW1A 221%225
SW1E 5427%35256
SW1E 624%217
SW1H 026%221
SW1P 134%335
SW1P 234%353
SW1P 31%01
SW1P 49%19
SW1V 160%538
SW1V 2112%947
SW1V 374%638
SW1V 43%01
SW1W 08%17
SW1W 8314%26151
SW1W 982%769
SW1X 0120%1025
SW1X 754%438
SW1X 838%314
SW1X 9199%1789
SW1Y 426%216
SW1Y 51%01
SW1Y 6213%18110
SW2 166%633
SW2 220%212
SW2 3154%13115
SW2 4151%1383
SW2 544%431
SW20 0103%961
SW20 8117%1074
SW20 921%210
SW3 1410%34310
SW3 2155%1383
SW3 3205%17102
SW3 4231%19111
SW3 542%318
SW3 69%15
SW4 0271%23124
SW4 672%639
SW4 7912%76412
SW4 838%315
SW4 928%215
SW5 9279%23162
SW6 1286%24191
SW6 246%443
SW6 4120%1073
SW6 5128%1162
SW6 612%18
SW6 759%538
SW7 15%02
SW7 213%111
SW7 333%312
SW7 476%636
SW7 514%19
SW8 1315%26264
SW8 2172%14131
SW8 399%847
SW8 4140%1294
SW8 5397%33161
SW9 027%215
SW9 637%319
SW9 762%542
SW9 8821%68397
SW9 9195%16136
TN16 210%12
TN16 347%437
TW1 122%212
TW1 222%28
TW1 3286%24154
TW1 416%110
TW10 556%512
TW10 69%16
TW10 715%17
TW11 02%01
TW11 8115%1082
TW11 948%427
TW12 1243%20131
TW12 232%321
TW12 326%211
TW13 4286%24281
TW13 516%110
TW13 678%647
TW13 74%02
TW14 035%330
TW14 824%222
TW14 918%113
TW2 5123%1074
TW2 665%540
TW2 795%869
TW3 11076%89990
TW3 3108%991
TW3 45%03
TW4 583%759
TW4 61%01
TW4 746%432
TW5 0194%16159
TW5 946%461
TW6 220%26
TW6 3183%1531
TW7 420%211
TW7 529%232
TW7 625%223
TW7 744%426
TW8 038%328
TW8 8440%37224
TW8 947%442
TW9 1426%35284
TW9 215%18
TW9 319%27
TW9 4160%1380
UB1 1224%19187
UB1 25%06
UB1 331%328
UB10 0131%1194
UB10 818%214
UB10 914%110
UB11 1171%142
UB2 4373%31478
UB2 5105%9145
UB3 18%111
UB3 282%775
UB3 3573%48442
UB3 4414%34320
UB3 538%325
UB4 070%658
UB4 821%219
UB4 9119%1091
UB5 425%224
UB5 529%224
UB5 618%221
UB6 079%769
UB6 76%04
UB6 864%586
UB6 9176%15174
UB7 02%06
UB7 7423%35281
UB7 811%18
UB7 916%110
UB8 1364%30427
UB8 222%236
UB8 312%119
UB9 630%320
W10 424%216
W10 546%453
W10 6194%16172
W11 1156%13111
W11 2348%29190
W11 3348%29159
W11 41154%96934
W12 02%03
W12 7144%12315
W12 8917%76760
W12 9131%11106
W13 0146%1297
W13 876%637
W13 9182%15157
W14 08%17
W14 830%230
W14 953%452
W1B 274%626
W1B 4830%6966
W1B 51318%109273
W1C 12460%204114
W1C 2152%137
W1D 29989%830112
W1D 3114%1046
W1D 4108%925
W1D 588%725
W1D 7111%933
W1F 0205%17102
W1F 7570%47420
W1F 8207%17131
W1F 9140%1284
W1G 0477%4048
W1G 6103%929
W1G 876%626
W1G 91%01
W1H 111%13
W1H 261%57
W1H 5307%2680
W1H 654%414
W1H 7787%65333
W1J 0318%2670
W1J 54%02
W1J 673%636
W1J 77%14
W1J 815%15
W1K 220%29
W1K 320%211
W1K 419%24
W1K 5465%39143
W1K 6649%54142
W1K 744%410
W1S 1415%34384
W1S 2113%961
W1S 3404%3474
W1S 4195%1698
W1T 164%560
W1T 2437%36159
W1T 3134%1163
W1T 426%214
W1T 595%857
W1T 7478%40120
W1U 12014%167799
W1U 2194%1649
W1U 335%314
W1U 4983%82177
W1U 573%619
W1U 6459%38114
W1U 732%39
W1W 560%517
W1W 635%322
W1W 78%14
W1W 8236%20110
W2 196%8164
W2 238%323
W2 3220%18122
W2 4139%1288
W2 541%330
W2 680%798
W3 049%433
W3 6105%9114
W3 7109%9116
W3 846%446
W3 9150%1280
W4 1108%971
W4 223%219
W4 340%326
W4 4254%21126
W4 595%899
W5 127%219
W5 2457%38434
W5 3116%1090
W5 470%655
W5 5498%41337
W6 086%7112
W6 733%333
W6 890%795
W6 9328%27401
W7 114%19
W7 26%03
W7 356%539
W8 4164%1485
W8 570%663
W8 6228%19131
W8 764%535
W9 1137%1194
W9 2181%15128
W9 3362%30324
WC1A 192%818
WC1A 237%310
WC1B 3214%18164
WC1B 557%59
WC1E 6134%1183
WC1E 721%210
WC1H 06%03
WC1H 815%15
WC1H 926%220
WC1N 167%631
WC1N 34%04
WC1R 47%14
WC1R 56%02
WC1V 645%412
WC1V 7898%75185
WC1X 031%311
WC1X 8147%1268
WC1X 910%14
WC2A 112%14
WC2A 218%11
WC2A 324%215
WC2B 43%01
WC2B 59%112
WC2B 6992%8260
WC2E 711%112
WC2E 8641%53123
WC2E 9431%36239
WC2H 0739%61134
WC2H 757%518
WC2H 8114%946
WC2H 9351%29278
WC2N 4141%1267
WC2N 599%8100
WC2N 675%635
WC2R 0467%3989
WC2R 13%01
WC2R 236%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

Shoplifting crime totalled 87.4k representing an increase 1.4% 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 February 2025 - January 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.

+1.4% annual change, crime is increasing

87.4k 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 January 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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