London shoplifting crime statistics

Annual crime rate in London region is 10.2 crimes per 1000 people. Compared to the national crime rate, London's rate is at 121% as of November 2025.Shoplifting crime makes up 7.7% of all crimes reported in the region. The total number of "shoplifting crime" is 88.8k, and this number has increased by 11.8% when compared year-over-year in the period of November 2024 - October 2025.

London shoplifting crime statistics Breakdown: Rate, Share, Volume, and Annual Change Compared to England & Wales
London regioncrime statisticEngland & Wales
10.2annual crime rate per 1k workday people8.4
121%ratio of national crime rate100%
7.7% share of all crimes8.3%
88.8kcrimes reported473k
11.8%annual change2.5%

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 1616%52523
BR1 216%114
BR1 3182%15175
BR1 463%557
BR1 585%788
BR2 035%327
BR2 65%01
BR2 719%211
BR2 822%217
BR2 961%565
BR3 1317%27210
BR3 348%447
BR3 422%220
BR3 5105%940
BR3 66%12
BR4 0100%865
BR4 942%427
BR5 1155%13117
BR5 224%223
BR5 3301%25268
BR5 45%04
BR6 0292%25255
BR6 655%524
BR6 73%02
BR6 8105%967
BR6 9121%10108
BR7 510%15
BR7 6113%1082
CR0 056%570
CR0 1354%30565
CR0 2172%15305
CR0 3113%10160
CR0 4215%18417
CR0 54%03
CR0 6222%19298
CR0 730%329
CR0 8270%23210
CR0 923%215
CR2 019%212
CR2 628%223
CR2 868%650
CR2 911%15
CR4 119%219
CR4 2128%11102
CR4 327%232
CR4 42%02
CR5 13%02
CR5 2157%13116
CR7 6104%960
CR7 75%07
CR7 871%684
CR8 2121%1081
CR8 5164%1484
DA1 4121%10110
DA14 5112%1068
DA14 6185%16134
DA15 7118%1052
DA15 848%442
DA15 938%320
DA16 1366%31268
DA16 217%114
DA16 353%435
DA17 560%537
DA17 6338%29220
DA5 133%316
DA5 26%02
DA5 329%214
DA6 7402%34253
DA6 850%424
DA7 4174%15144
DA7 595%862
DA7 64%03
DA8 167%666
DA8 2180%15150
DA8 315%111
E1 023%218
E1 1241%20178
E1 289%769
E1 32%01
E1 4279%24414
E1 572%662
E1 6154%13280
E1 751%494
E1 878%7130
E10 569%677
E10 618%225
E10 7105%9114
E11 1717%61582
E11 2204%17155
E11 395%890
E11 469%668
E12 566%674
E12 68%114
E13 0328%28387
E13 819%222
E13 980%797
E14 023%220
E14 270%610
E14 349%450
E14 4149%13234
E14 537%3209
E14 6121%1099
E14 791%888
E14 814%122
E14 945%4101
E15 1226%19278
E15 21374%1161295
E15 330%329
E15 4653%55733
E16 1810%68685
E16 242%440
E16 346%444
E16 412%112
E17 350%450
E17 411%114
E17 528%233
E17 6118%10141
E17 7263%22215
E17 833%333
E17 929%225
E18 1245%21123
E18 248%433
E1W 197%844
E1W 2398%34177
E1W 33%01
E2 0162%14129
E2 693%854
E2 7130%1186
E2 8219%18141
E2 9177%15133
E3 276%672
E3 3146%12132
E3 464%564
E3 5132%11109
E4 617%118
E4 780%775
E4 8591%50600
E4 972%684
E5 068%669
E5 8103%9100
E5 964%569
E6 194%8117
E6 2168%14219
E6 329%239
E6 539%339
E6 6210%18262
E7 0167%14150
E7 860%595
E7 94%05
E8 1290%25235
E8 2328%28233
E8 3137%12103
E8 439%327
E9 594%894
E9 6205%17217
E9 7168%14140
EC1A 967%620
EC1M 31671%141142
EC1M 565%632
EC1M 68%14
EC1N 72%01
EC1N 873%651
EC1R 15%01
EC1R 4161%1454
EC1R 525%25
EC1V 1334%2831
EC1V 220%25
EC1V 327%28
EC1V 4113%1037
EC1V 715%15
EC1V 9658%56390
EC1Y 010%12
EC1Y 1482%4149
EC1Y 813%114
EC2A 1164%1429
EC2A 224%24
EC2A 368%651
EC2A 45%06
EC2M 110%14
EC2M 3215%1843
EC2M 4111%9122
EC2M 5341%2968
EC2M 799%879
EC2V 6290%25143
EC2V 8137%1239
EC2Y 871%6107
EC2Y 933%311
EC3A 5131%1171
EC3A 710%13
EC3N 1113%1069
EC3N 214%111
EC3N 422%211
EC3R 517%19
EC3R 73%01
EC3R 82%02
EC3V 0209%18121
EC3V 323%29
EC3V 9326%2865
EC4A 11%01
EC4M 718%28
EC4M 9894%76217
EC4N 5129%1111
EC4R 031%343
EC4R 112%11
EC4V 427%24
EC4V 52%02
EC4V 672%624
EC4Y 1132%1130
EN1 1483%41532
EN1 213%16
EN1 3388%33410
EN1 45%05
EN2 069%642
EN2 6213%18107
EN2 722%211
EN2 85%04
EN2 921%24
EN3 4142%12134
EN3 5136%11153
EN3 613%117
EN3 713%115
EN4 0136%1257
EN4 886%768
EN4 98%14
EN5 1191%1698
EN5 29%19
EN5 329%27
EN5 599%862
HA0 1167%14160
HA0 243%437
HA0 335%324
HA0 424%223
HA1 1435%37346
HA1 2104%985
HA1 370%693
HA1 4223%19197
HA2 059%547
HA2 626%212
HA2 73%02
HA2 8135%11108
HA2 941%337
HA3 073%657
HA3 579%756
HA3 6127%1189
HA3 7116%1091
HA3 82%02
HA3 95%05
HA4 0440%37306
HA4 624%218
HA4 7122%1084
HA4 861%533
HA4 977%647
HA5 1155%1390
HA5 2101%954
HA5 351%437
HA5 4313%26175
HA5 5170%1489
HA6 149%434
HA6 2224%19177
HA7 145%426
HA7 233%320
HA7 430%323
HA8 0154%13132
HA8 545%437
HA8 628%220
HA8 7362%31192
HA8 813%112
HA8 935%326
HA9 0267%23154
HA9 652%446
HA9 7693%59464
HA9 8129%11132
HA9 947%440
IG1 1290%25406
IG1 228%242
IG1 33%03
IG1 462%566
IG11 038%347
IG11 738%348
IG11 8385%33388
IG11 96%07
IG2 659%556
IG2 7124%10117
IG3 840%357
IG3 98%110
IG4 56%04
IG5 0159%13169
IG6 174%649
IG6 2254%21214
IG6 39%15
IG7 430%316
IG8 047%429
IG8 75%03
IG8 8116%1066
IG8 95%03
IG9 63%01
KT1 11202%1021017
KT1 281%779
KT1 317%114
KT1 428%27
KT2 527%224
KT2 6108%976
KT2 727%224
KT3 375%665
KT3 4154%1396
KT3 56%14
KT3 620%215
KT4 891%895
KT5 813%18
KT5 98%15
KT6 4177%1578
KT6 615%17
KT6 753%447
KT8 977%628
KT9 155%537
KT9 228%223
N1 0344%29342
N1 1449%38291
N1 2323%27284
N1 358%528
N1 417%19
N1 5138%1287
N1 648%442
N1 711%111
N1 8104%980
N1 9123%10181
N10 1171%1496
N10 24%02
N10 3184%16118
N11 1657%56588
N11 218%212
N11 3131%1175
N12 098%861
N12 8193%16116
N12 9100%855
N13 4442%37351
N13 554%543
N13 62%01
N14 415%111
N14 5351%30227
N14 663%533
N15 359%540
N15 4594%50527
N15 544%432
N15 619%218
N16 041%322
N16 5241%20273
N16 62%02
N16 750%434
N16 8187%16143
N16 98%13
N17 053%456
N17 610%113
N17 731%321
N17 815%110
N17 9131%11149
N18 12%02
N18 282%7112
N18 3202%179
N19 3404%34329
N19 4103%965
N19 5105%9101
N1C 41475%125156
N2 810%14
N2 9177%1593
N20 08%16
N20 9170%1465
N21 115%18
N21 27%13
N21 338%319
N22 566%656
N22 6777%66855
N22 73%02
N3 155%538
N3 252%441
N3 34%02
N4 190%879
N4 297%8150
N4 3127%1196
N5 134%326
N5 26%04
N6 48%13
N6 5200%17127
N6 699%823
N7 0131%11104
N7 6562%47295
N7 740%324
N7 8198%17162
N7 988%779
N8 073%651
N8 724%214
N8 8146%1287
N8 968%641
N9 0187%16190
N9 77%15
N9 823%219
N9 95%06
NW1 038%341
NW1 14%04
NW1 211%117
NW1 334%332
NW1 4257%22136
NW1 5147%1260
NW1 695%886
NW1 7234%20206
NW1 8420%36384
NW1 978%762
NW10 0324%27303
NW10 120%213
NW10 2169%14119
NW10 37%14
NW10 4275%23202
NW10 5124%1097
NW10 63%02
NW10 7112%10185
NW10 817%117
NW10 911%18
NW11 0317%27136
NW11 626%211
NW11 742%420
NW11 8278%23128
NW11 95%03
NW2 1101%973
NW2 2309%26150
NW2 387%746
NW2 478%735
NW2 519%211
NW2 643%438
NW2 783%776
NW3 1507%43188
NW3 2134%11182
NW3 377%746
NW3 4258%22126
NW3 5184%16103
NW3 6385%32225
NW4 1207%17101
NW4 279%750
NW4 3393%33366
NW4 4106%972
NW5 1151%13128
NW5 2305%26227
NW5 345%420
NW5 47%14
NW6 1177%15112
NW6 2109%943
NW6 3140%1255
NW6 4462%39241
NW6 5105%983
NW6 6237%20146
NW6 7136%11102
NW7 1152%1386
NW7 225%214
NW7 3140%1266
NW8 0143%1271
NW8 6307%26109
NW8 7220%19100
NW8 810%19
NW8 97%14
NW9 0228%19192
NW9 544%461
NW9 658%539
NW9 748%422
NW9 8147%12101
NW9 9567%48408
RM1 1751%63333
RM1 263%528
RM1 3212%18132
RM1 49%18
RM10 770%668
RM10 8121%10112
RM10 910%112
RM11 1103%983
RM11 257%537
RM11 334%322
RM12 458%559
RM12 5207%17115
RM12 6100%865
RM13 7236%20132
RM13 834%321
RM13 9121%10116
RM14 112%18
RM14 2431%36281
RM14 338%319
RM2 578%733
RM2 6193%1671
RM3 0178%15172
RM3 8233%20183
RM3 911%17
RM5 2167%1491
RM5 3151%13100
RM6 4476%40431
RM6 523%216
RM6 647%433
RM7 070%686
RM7 7108%932
RM7 8220%1993
RM7 910%14
RM8 127%226
RM8 211%111
RM8 332%324
RM9 4153%13127
RM9 511%19
RM9 6189%16153
SE1 080%7185
SE1 144%460
SE1 271%6186
SE1 332%335
SE1 4132%11123
SE1 5207%17167
SE1 6104%969
SE1 779%7203
SE1 8131%11165
SE1 936%375
SE10 0287%24238
SE10 842%425
SE10 9583%49456
SE11 439%325
SE11 59%17
SE11 610%15
SE12 033%320
SE12 824%214
SE12 955%531
SE13 5116%1097
SE13 654%563
SE13 7293%25305
SE14 524%223
SE14 6147%12112
SE15 135%321
SE15 268%653
SE15 384%770
SE15 444%423
SE15 5685%58521
SE15 625%220
SE16 219%215
SE16 326%220
SE16 453%523
SE16 5243%2171
SE16 7126%1154
SE17 1276%23139
SE17 2585%49543
SE17 330%323
SE18 139%338
SE18 290%855
SE18 312%19
SE18 460%557
SE18 511%18
SE18 6281%24319
SE18 715%113
SE19 123%212
SE19 217%18
SE19 343%430
SE2 013%110
SE2 9161%14155
SE20 7506%43375
SE20 8319%27230
SE21 811%18
SE22 048%426
SE22 8190%16137
SE22 942%419
SE23 1195%16119
SE23 374%650
SE24 020%211
SE24 926%214
SE25 437%329
SE25 579%751
SE25 679%766
SE26 4221%19135
SE26 533%321
SE26 62%01
SE27 0140%12106
SE27 9157%1399
SE28 02%02
SE28 8132%11163
SE3 0344%29167
SE3 729%214
SE3 810%16
SE3 991%847
SE4 116%115
SE4 2110%982
SE5 0290%25195
SE5 76%15
SE5 8184%16211
SE5 912%117
SE6 116%116
SE6 283%789
SE6 351%441
SE6 4313%26263
SE7 7135%11133
SE7 8190%16134
SE8 3341%29217
SE8 4356%30208
SE8 5170%14111
SE9 1136%12102
SE9 2151%13117
SE9 311%19
SE9 4116%1088
SE9 536%320
SE9 6324%27205
SM1 1477%40326
SM1 24%04
SM1 35%05
SM1 451%441
SM2 515%115
SM2 62%01
SM3 825%215
SM3 9104%993
SM4 47%16
SM4 5218%18177
SM4 64%03
SM5 150%441
SM5 2174%15126
SM5 3296%25161
SM6 0252%21126
SM6 783%737
SM6 839%328
SM6 9193%16150
SW10 048%451
SW10 9331%28232
SW11 1609%51392
SW11 256%541
SW11 3223%19196
SW11 432%319
SW11 5174%15159
SW11 618%211
SW12 017%17
SW12 839%329
SW12 9988%83544
SW13 049%422
SW13 811%11
SW13 927%215
SW14 7139%1269
SW14 823%215
SW15 1373%31264
SW15 257%544
SW15 359%538
SW15 446%434
SW15 57%15
SW15 6125%1168
SW16 1553%47372
SW16 251%450
SW16 366%637
SW16 4465%39394
SW16 5122%10122
SW16 676%668
SW17 0107%9177
SW17 7163%14150
SW17 85%05
SW17 9227%19226
SW18 196%886
SW18 251%432
SW18 34%03
SW18 4198%17193
SW18 568%654
SW19 1500%42421
SW19 2378%32338
SW19 324%223
SW19 429%222
SW19 552%422
SW19 7177%1594
SW19 8165%14174
SW1A 0297%2512
SW1A 13%02
SW1A 218%121
SW1E 5421%36257
SW1E 624%217
SW1H 026%221
SW1P 129%230
SW1P 229%246
SW1P 31%01
SW1P 48%18
SW1V 161%539
SW1V 2103%944
SW1V 367%635
SW1V 43%01
SW1W 05%04
SW1W 8298%25146
SW1W 956%548
SW1X 0104%922
SW1X 764%546
SW1X 859%522
SW1X 9202%1792
SW1Y 426%216
SW1Y 51%01
SW1Y 6181%1595
SW2 157%529
SW2 213%18
SW2 3145%12110
SW2 4136%1176
SW2 548%434
SW20 090%854
SW20 8104%967
SW20 919%29
SW3 1372%31286
SW3 2160%1487
SW3 3154%1378
SW3 4240%20117
SW3 527%212
SW3 69%15
SW4 0170%1479
SW4 665%636
SW4 7994%84457
SW4 822%29
SW4 924%213
SW5 9318%27188
SW6 1294%25200
SW6 246%444
SW6 481%750
SW6 5122%1060
SW6 616%111
SW6 765%643
SW7 12%01
SW7 210%19
SW7 321%28
SW7 499%848
SW7 518%212
SW8 1365%31311
SW8 2139%12108
SW8 389%843
SW8 4144%1298
SW8 5361%31149
SW9 025%214
SW9 635%318
SW9 767%646
SW9 8705%60347
SW9 9173%15123
TN16 210%12
TN16 393%874
TW1 142%423
TW1 224%29
TW1 3299%25164
TW1 417%111
TW10 569%615
TW10 615%110
TW10 720%210
TW11 02%01
TW11 8135%1198
TW11 958%533
TW12 1219%18120
TW12 215%110
TW12 318%28
TW13 4307%26306
TW13 518%111
TW13 657%535
TW13 74%02
TW14 038%333
TW14 824%223
TW14 922%216
TW2 5127%1178
TW2 685%753
TW2 797%872
TW3 11004%85940
TW3 27%14
TW3 397%883
TW3 41%01
TW4 587%763
TW4 61%01
TW4 738%327
TW5 0167%14139
TW5 948%465
TW6 227%28
TW6 3227%1939
TW7 425%214
TW7 534%338
TW7 619%218
TW7 737%322
TW8 038%329
TW8 8584%49302
TW8 945%441
TW9 1438%37297
TW9 217%19
TW9 316%16
TW9 4161%1482
UB1 1241%20205
UB1 23%03
UB1 323%221
UB10 0124%1191
UB10 821%216
UB10 915%111
UB11 1168%142
UB2 4344%29449
UB2 5106%9148
UB3 18%111
UB3 2100%893
UB3 3335%28263
UB3 4429%36337
UB3 573%648
UB4 075%663
UB4 823%221
UB4 9114%1088
UB5 428%227
UB5 526%222
UB5 620%223
UB6 071%663
UB6 76%04
UB6 868%693
UB6 9108%9109
UB7 02%08
UB7 7431%36291
UB7 84%03
UB7 917%111
UB8 1364%31434
UB8 222%238
UB8 313%121
UB9 640%327
W10 422%215
W10 554%563
W10 6162%14146
W11 1133%1196
W11 2394%33219
W11 3381%32177
W11 41020%86840
W12 04%05
W12 7125%11278
W12 8907%77765
W12 9108%989
W13 0132%1189
W13 8103%951
W13 9251%21221
W14 07%16
W14 830%331
W14 955%555
W1B 253%419
W1B 4866%7370
W1B 51338%113282
W1C 12333%197110
W1C 2106%95
W1D 29470%800108
W1D 3105%943
W1D 493%822
W1D 583%724
W1D 7129%1139
W1F 0190%1696
W1F 7480%41360
W1F 8202%17130
W1F 9195%16119
W1G 0498%4251
W1G 687%725
W1G 881%728
W1G 91%01
W1H 17%12
W1H 252%46
W1H 5253%2167
W1H 642%411
W1H 7695%59299
W1J 0295%2566
W1J 52%01
W1J 678%739
W1J 823%28
W1K 227%212
W1K 315%18
W1K 428%26
W1K 5406%34127
W1K 6202%1745
W1K 731%37
W1S 1319%27300
W1S 2126%1169
W1S 3451%3884
W1S 4211%18108
W1T 165%562
W1T 2330%28122
W1T 3115%1055
W1T 423%213
W1T 5101%962
W1T 7348%2989
W1U 11923%162776
W1U 2164%1442
W1U 334%314
W1U 4988%83181
W1U 572%619
W1U 6408%34103
W1U 728%28
W1W 552%415
W1W 638%324
W1W 79%15
W1W 8196%1793
W2 198%8170
W2 231%319
W2 3255%22144
W2 4127%1182
W2 551%438
W2 673%691
W3 053%436
W3 687%796
W3 761%566
W3 833%333
W3 9338%29184
W4 1114%1076
W4 214%112
W4 345%430
W4 4269%23136
W4 587%793
W5 128%220
W5 2687%58664
W5 3118%1093
W5 457%546
W5 5558%47384
W6 089%8119
W6 727%227
W6 874%680
W6 9341%29424
W7 16%14
W7 211%16
W7 369%649
W8 4138%1273
W8 567%661
W8 6208%18122
W8 761%534
W9 1142%1299
W9 2149%13107
W9 3275%23251
WC1A 1121%1024
WC1A 247%413
WC1B 3208%18162
WC1B 519%23
WC1E 6116%1073
WC1E 715%17
WC1H 04%02
WC1H 817%16
WC1H 927%221
WC1N 174%635
WC1N 34%04
WC1R 45%03
WC1R 511%14
WC1V 645%412
WC1V 7902%76189
WC1X 028%210
WC1X 8134%1163
WC1X 910%14
WC2A 218%11
WC2A 332%320
WC2B 45%02
WC2B 58%111
WC2B 6927%7857
WC2E 722%224
WC2E 8620%52121
WC2E 9389%33219
WC2H 0743%63137
WC2H 762%520
WC2H 8137%1256
WC2H 9352%30284
WC2N 487%742
WC2N 5111%9114
WC2N 684%740
WC2R 0413%3580
WC2R 13%01
WC2R 253%43
WC2R 33%01

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 88.8k, and this number has increased by 11.8% when compared year-over-year in the period of November 2024 - October 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 November 2024 - October 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.

+11.8% annual change, crime is increasing

88.8k 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 October 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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