London shoplifting crime statistics

Annual crime rate in London region is 10.4 crimes per 1000 people. Compared to the national crime rate, London's rate is at 121% as of September 2025.Shoplifting crime makes up 7.8% of all crimes reported in the region. The total number of "shoplifting crime" is 90.1k, and this number has increased by 23.2% when compared year-over-year in the period of September 2024 - August 2025.

London regioncrime statisticEngland & Wales
10.4 annual crime rate per 1k workday people8.6
121% ratio of national crime rate100%
7.8% share of all crimes8.4%
90.1k crimes reported482k
23.2% annual change8.1%

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 1607%52525
BR1 215%113
BR1 3193%17189
BR1 450%446
BR1 573%677
BR2 034%327
BR2 720%212
BR2 820%216
BR2 963%568
BR3 1309%27208
BR3 340%340
BR3 428%226
BR3 593%836
BR3 66%12
BR4 068%645
BR4 946%430
BR5 1159%14122
BR5 224%223
BR5 3308%26279
BR5 43%02
BR6 0266%23236
BR6 649%422
BR6 74%03
BR6 8139%1290
BR6 9161%14147
BR7 54%02
BR7 6114%1084
CR0 068%687
CR0 1309%27502
CR0 2223%19403
CR0 3110%10159
CR0 4330%28652
CR0 56%15
CR0 6234%20319
CR0 737%336
CR0 8226%19179
CR0 928%219
CR2 022%214
CR2 614%112
CR2 870%652
CR2 919%29
CR4 117%117
CR4 2138%12112
CR4 329%335
CR4 42%02
CR5 17%14
CR5 2166%14125
CR7 6120%1071
CR7 73%04
CR7 872%686
CR8 2124%1184
CR8 43%01
CR8 5205%18107
DA1 4121%10112
DA14 5119%1073
DA14 6200%17148
DA15 7124%1156
DA15 840%336
DA15 952%428
DA16 1351%30262
DA16 222%218
DA16 348%432
DA17 554%534
DA17 6280%24186
DA5 155%527
DA5 26%02
DA5 318%29
DA6 7396%34254
DA6 858%528
DA7 4175%15148
DA7 585%757
DA7 64%03
DA8 157%557
DA8 2243%21206
DA8 315%111
E1 017%214
E1 1231%20174
E1 296%876
E1 4248%21374
E1 569%661
E1 6166%14307
E1 744%482
E1 867%6113
E10 574%684
E10 616%122
E10 7104%9114
E11 1636%55526
E11 2182%16141
E11 373%670
E11 448%448
E12 552%459
E12 67%113
E13 0356%31428
E13 826%231
E13 987%8108
E14 029%226
E14 234%35
E14 336%338
E14 4136%12217
E14 537%3212
E14 691%876
E14 785%784
E14 811%117
E14 937%386
E15 1225%19283
E15 21357%1171303
E15 336%335
E15 4658%57752
E16 1791%68682
E16 236%335
E16 349%448
E16 412%112
E17 350%451
E17 410%113
E17 527%232
E17 6117%10142
E17 7247%21206
E17 832%333
E17 925%222
E18 1209%18107
E18 258%541
E1W 167%631
E1W 2326%28148
E1W 36%02
E2 0162%14131
E2 6102%960
E2 7120%1081
E2 8210%18138
E2 9141%12108
E3 284%781
E3 3143%12132
E3 475%677
E3 5121%10102
E4 614%115
E4 779%775
E4 8597%51618
E4 962%574
E5 066%668
E5 899%998
E5 954%560
E6 190%8114
E6 2148%13196
E6 326%236
E6 535%336
E6 6183%16233
E7 0129%11118
E7 858%593
E7 96%07
E8 1359%31296
E8 2329%28238
E8 3119%1091
E8 442%430
E9 588%889
E9 6206%18223
E9 7134%12114
EC1A 926%28
EC1M 31502%129130
EC1M 568%634
EC1M 68%14
EC1N 855%539
EC1R 114%13
EC1R 4205%1870
EC1R 524%25
EC1V 1487%4246
EC1V 220%25
EC1V 323%27
EC1V 490%830
EC1V 717%16
EC1V 9611%53369
EC1Y 014%13
EC1Y 1415%3643
EC1Y 812%113
EC2A 1194%1735
EC2A 224%24
EC2A 388%867
EC2A 43%04
EC2M 117%17
EC2M 3172%1535
EC2M 481%791
EC2M 5285%2558
EC2M 797%879
EC2V 6281%24141
EC2V 8155%1345
EC2Y 848%474
EC2Y 933%311
EC3A 594%852
EC3A 717%15
EC3N 1112%1070
EC3N 210%18
EC3N 422%211
EC3R 520%211
EC3R 78%13
EC3R 82%02
EC3V 0161%1495
EC3V 320%28
EC3V 9211%1843
EC4A 11%01
EC4M 713%16
EC4M 9655%56162
EC4N 5139%1212
EC4R 032%345
EC4V 420%23
EC4V 52%02
EC4V 633%311
EC4Y 1108%925
EN1 1499%43560
EN1 223%211
EN1 3335%29361
EN1 45%05
EN2 0102%963
EN2 6217%19111
EN2 714%17
EN2 85%04
EN2 921%24
EN3 4140%12135
EN3 5154%13176
EN3 611%115
EN3 711%113
EN4 0134%1257
EN4 881%765
EN4 98%14
EN5 1151%1379
EN5 25%05
EN5 337%39
EN5 595%861
HA0 1149%13146
HA0 241%436
HA0 336%325
HA0 423%222
HA1 1471%41381
HA1 2123%11102
HA1 375%6101
HA1 4230%20207
HA2 079%764
HA2 621%210
HA2 75%03
HA2 8122%11100
HA2 944%440
HA3 073%658
HA3 584%761
HA3 6109%978
HA3 7106%985
HA3 98%18
HA4 0379%33268
HA4 621%216
HA4 7131%1192
HA4 856%531
HA4 982%751
HA5 1134%1179
HA5 292%850
HA5 347%435
HA5 4481%41274
HA5 5137%1273
HA6 150%435
HA6 2267%23215
HA7 152%431
HA7 229%218
HA7 426%220
HA8 0114%10100
HA8 544%437
HA8 620%215
HA8 7381%33206
HA8 89%19
HA8 933%325
HA9 0264%23155
HA9 649%444
HA9 7670%58457
HA9 8128%11133
HA9 939%334
IG1 1276%24394
IG1 227%241
IG1 33%03
IG1 464%670
IG11 049%463
IG11 742%454
IG11 8375%32384
IG11 96%07
IG2 653%551
IG2 7132%11127
IG3 837%353
IG3 98%110
IG4 56%04
IG5 0128%11138
IG6 185%757
IG6 2230%20198
IG6 39%15
IG7 433%318
IG8 054%534
IG8 73%02
IG8 8135%1278
IG8 95%03
IG9 66%12
KT1 11144%98986
KT1 283%783
KT1 316%114
KT1 424%26
KT2 530%328
KT2 6126%1190
KT2 729%327
KT3 365%657
KT3 4161%14102
KT3 56%14
KT3 625%219
KT4 883%788
KT5 814%19
KT5 910%16
KT6 4156%1370
KT6 615%17
KT6 753%548
KT8 975%628
KT9 158%540
KT9 228%224
N1 0343%30347
N1 1447%38295
N1 2294%25263
N1 333%316
N1 424%213
N1 581%752
N1 632%329
N1 711%111
N1 896%875
N1 9126%11188
N10 1120%1069
N10 23%02
N10 3175%15114
N11 1661%57602
N11 219%213
N11 3120%1070
N12 0106%967
N12 8194%17119
N12 983%747
N13 4700%60566
N13 548%439
N13 62%01
N14 414%110
N14 5373%32246
N14 637%320
N14 73%01
N15 355%538
N15 4536%46485
N15 530%322
N15 620%219
N16 038%321
N16 5372%32429
N16 62%02
N16 748%433
N16 8161%14125
N16 913%15
N17 055%559
N17 69%113
N17 722%215
N17 813%19
N17 9140%12162
N18 12%02
N18 284%7118
N18 3154%137
N19 3393%34326
N19 495%861
N19 5100%998
N1C 41513%130163
N2 810%14
N2 9185%1699
N20 011%18
N20 9190%1674
N21 111%16
N21 213%16
N21 343%422
N22 548%442
N22 6878%76984
N22 74%03
N22 82%01
N3 160%542
N3 249%439
N3 34%02
N4 183%774
N4 295%8149
N4 3148%13114
N5 144%434
N5 25%04
N6 48%13
N6 5178%15115
N6 693%822
N7 0114%1092
N7 6712%61381
N7 746%428
N7 8178%15149
N7 991%883
N8 082%758
N8 716%110
N8 8139%1284
N8 971%644
N9 0165%14171
N9 76%04
N9 822%219
N9 96%17
NW1 042%446
NW1 15%05
NW1 213%120
NW1 327%226
NW1 4194%17105
NW1 5134%1256
NW1 660%555
NW1 7235%20211
NW1 8653%56608
NW1 981%766
NW10 0311%27296
NW10 112%18
NW10 2180%16129
NW10 310%16
NW10 4274%24205
NW10 5141%12113
NW10 63%02
NW10 7105%9176
NW10 818%218
NW10 911%18
NW11 0298%26130
NW11 639%317
NW11 737%318
NW11 8243%21114
NW11 95%03
NW2 193%869
NW2 2298%26147
NW2 384%745
NW2 472%633
NW2 514%18
NW2 646%442
NW2 781%775
NW3 1506%44191
NW3 2122%11169
NW3 364%639
NW3 4253%22126
NW3 5174%1599
NW3 6418%36249
NW4 1165%1482
NW4 256%536
NW4 3395%34375
NW4 4111%1077
NW5 1146%13126
NW5 2287%25218
NW5 342%419
NW5 46%14
NW6 1129%1183
NW6 277%731
NW6 3150%1360
NW6 4372%32198
NW6 578%763
NW6 6213%18134
NW6 7135%12103
NW7 1184%16106
NW7 239%322
NW7 3123%1159
NW8 0148%1375
NW8 6302%26109
NW8 7199%1792
NW8 812%111
NW8 97%14
NW9 0335%29287
NW9 552%473
NW9 654%537
NW9 755%526
NW9 8184%16129
NW9 9718%62526
RM1 1726%63328
RM1 253%524
RM1 3205%18130
RM1 411%110
RM10 7151%13150
RM10 8119%10112
RM10 98%110
RM11 1110%991
RM11 241%427
RM11 331%320
RM12 444%445
RM12 5202%17114
RM12 6142%1294
RM13 7247%21141
RM13 832%320
RM13 9104%9101
RM14 115%110
RM14 2425%37282
RM14 337%319
RM2 567%629
RM2 6227%2085
RM3 0206%18203
RM3 72%01
RM3 8222%19178
RM3 913%19
RM5 2158%1488
RM5 3134%1190
RM6 4451%39416
RM6 520%214
RM6 654%538
RM7 065%681
RM7 796%829
RM7 8226%1997
RM7 912%15
RM8 126%225
RM8 212%112
RM8 351%439
RM9 4160%14136
RM9 510%18
RM9 6201%17166
SE1 079%7186
SE1 143%460
SE1 281%7217
SE1 333%336
SE1 4116%10110
SE1 5187%16154
SE1 6113%1076
SE1 766%6173
SE1 8116%10148
SE1 936%376
SE10 0265%23224
SE10 832%319
SE10 9641%55511
SE11 432%321
SE11 58%17
SE11 611%16
SE12 039%324
SE12 824%214
SE12 961%535
SE13 593%879
SE13 649%458
SE13 7283%24300
SE14 526%225
SE14 6131%11102
SE15 136%322
SE15 262%549
SE15 377%766
SE15 449%426
SE15 5992%85769
SE15 628%223
SE16 219%215
SE16 339%331
SE16 450%422
SE16 5198%1759
SE16 7122%1053
SE17 1398%34204
SE17 2801%69758
SE17 323%218
SE18 141%441
SE18 276%747
SE18 311%19
SE18 477%774
SE18 512%19
SE18 6238%21276
SE18 718%216
SE19 124%213
SE19 215%17
SE19 350%435
SE2 034%326
SE2 9150%13147
SE20 7443%38334
SE20 8401%34294
SE21 73%01
SE21 812%19
SE22 045%425
SE22 8158%14116
SE22 948%422
SE23 1200%17124
SE23 368%647
SE24 027%215
SE24 928%215
SE25 440%332
SE25 564%542
SE25 665%655
SE26 4215%19134
SE26 536%323
SE26 63%02
SE27 0126%1197
SE27 9133%1185
SE28 03%03
SE28 8134%12168
SE3 0339%29168
SE3 728%214
SE3 87%14
SE3 980%742
SE4 116%115
SE4 2115%1088
SE5 0206%18141
SE5 75%04
SE5 8256%22300
SE5 917%124
SE6 112%112
SE6 277%784
SE6 342%434
SE6 4308%27264
SE7 7133%11133
SE7 8158%14113
SE8 3413%36268
SE8 4368%32219
SE8 5147%1398
SE9 1143%12109
SE9 2142%12112
SE9 313%111
SE9 4122%1094
SE9 537%321
SE9 6303%26195
SM1 1505%43351
SM1 27%16
SM1 35%05
SM1 452%543
SM2 514%115
SM2 62%01
SM3 819%212
SM3 999%990
SM4 47%16
SM4 5200%17165
SM4 62%02
SM5 153%545
SM5 2121%1089
SM5 3204%18113
SM6 0316%27161
SM6 768%631
SM6 848%435
SM6 9214%18170
SW10 041%445
SW10 9256%22183
SW11 1596%51391
SW11 253%540
SW11 3222%19199
SW11 456%534
SW11 5209%18195
SW11 615%19
SW12 019%28
SW12 830%323
SW12 9934%80524
SW13 053%524
SW13 811%11
SW13 938%321
SW14 7151%1376
SW14 824%216
SW15 1308%26222
SW15 270%655
SW15 373%648
SW15 460%545
SW15 55%04
SW15 6127%1170
SW16 1518%45355
SW16 252%452
SW16 371%641
SW16 4494%43426
SW16 5140%12143
SW16 684%777
SW17 0112%10189
SW17 7146%13137
SW17 86%16
SW17 9228%20231
SW18 175%669
SW18 264%541
SW18 34%03
SW18 4176%15175
SW18 563%551
SW19 1699%60600
SW19 2402%35366
SW19 331%331
SW19 431%324
SW19 537%316
SW19 7161%1487
SW19 8153%13165
SW1A 0243%2110
SW1A 13%02
SW1A 220%224
SW1E 5426%37265
SW1E 623%217
SW1H 016%113
SW1P 123%224
SW1P 219%231
SW1P 31%01
SW1P 47%17
SW1V 163%541
SW1V 290%839
SW1V 360%532
SW1V 43%01
SW1W 02%02
SW1W 8305%26152
SW1W 948%442
SW1X 098%821
SW1X 776%755
SW1X 858%522
SW1X 9164%1476
SW1Y 419%212
SW1Y 53%02
SW1Y 6165%1488
SW2 160%531
SW2 217%111
SW2 3158%14122
SW2 4112%1064
SW2 548%435
SW20 081%750
SW20 896%863
SW20 919%29
SW3 1341%29267
SW3 2157%1487
SW3 3135%1270
SW3 4247%21123
SW3 518%28
SW3 610%16
SW4 0108%951
SW4 678%744
SW4 71008%87472
SW4 817%17
SW4 921%212
SW5 02%01
SW5 9329%28198
SW6 1290%25201
SW6 248%447
SW6 481%751
SW6 5108%954
SW6 634%323
SW6 773%649
SW7 12%01
SW7 213%112
SW7 318%27
SW7 4114%1056
SW7 518%212
SW8 1437%38380
SW8 2125%1199
SW8 373%636
SW8 4120%1083
SW8 5307%26129
SW9 019%211
SW9 642%422
SW9 780%756
SW9 8675%58338
SW9 9149%13108
TN16 210%12
TN16 397%878
TW1 165%636
TW1 216%16
TW1 3314%27175
TW1 420%213
TW10 5103%923
TW10 619%213
TW10 720%210
TW11 02%01
TW11 8124%1192
TW11 960%535
TW12 1177%1599
TW12 218%212
TW12 32%01
TW13 4292%25297
TW13 517%111
TW13 650%431
TW13 72%01
TW14 039%335
TW14 825%224
TW14 916%112
TW2 5114%1071
TW2 698%862
TW2 7106%980
TW3 1973%84928
TW3 27%14
TW3 398%885
TW3 41%01
TW4 562%546
TW4 63%02
TW4 735%325
TW5 0177%15150
TW5 954%574
TW6 220%26
TW6 3251%2244
TW7 421%212
TW7 536%342
TW7 618%217
TW7 740%324
TW8 036%328
TW8 8710%61374
TW8 954%550
TW9 1467%40323
TW9 224%213
TW9 316%16
TW9 4160%1483
UB1 1238%20206
UB1 23%04
UB1 323%222
UB10 0133%1199
UB10 820%216
UB10 923%217
UB11 1165%142
UB2 4300%26399
UB2 5113%10162
UB3 112%116
UB3 298%892
UB3 3248%21198
UB3 4396%34317
UB3 595%864
UB4 060%552
UB4 822%221
UB4 9118%1093
UB5 429%228
UB5 526%222
UB5 622%226
UB6 065%659
UB6 74%03
UB6 877%7108
UB6 9100%9102
UB7 02%08
UB7 7458%39315
UB7 84%03
UB7 914%19
UB8 1362%31440
UB8 221%237
UB8 313%122
UB9 633%323
W10 418%213
W10 564%677
W10 6126%11116
W11 1140%12103
W11 2442%38250
W11 3425%37201
W11 4915%79767
W12 04%06
W12 7121%10273
W12 8879%76755
W12 991%876
W13 0125%1186
W13 8102%951
W13 9256%22229
W14 012%110
W14 830%331
W14 948%449
W1B 271%626
W1B 3137%121
W1B 41117%9692
W1B 51496%129321
W1C 12332%201112
W1C 221%21
W1D 210070%867117
W1D 3106%944
W1D 466%616
W1D 565%619
W1D 7120%1037
W1F 0192%1799
W1F 7417%36318
W1F 8188%16123
W1F 9217%19135
W1G 0518%4554
W1G 679%723
W1G 879%728
W1G 91%01
W1H 217%12
W1H 5267%2372
W1H 633%39
W1H 7620%53272
W1J 0263%2360
W1J 52%01
W1J 680%741
W1J 72%01
W1J 829%210
W1K 226%212
W1K 313%17
W1K 436%38
W1K 5377%32120
W1K 6150%1334
W1K 721%25
W1S 1280%24269
W1S 2133%1174
W1S 3454%3986
W1S 4207%18108
W1T 170%668
W1T 2247%2193
W1T 3103%950
W1T 421%212
W1T 5103%964
W1T 7300%2678
W1U 11841%158757
W1U 2145%1338
W1U 324%210
W1U 4970%83181
W1U 571%619
W1U 6342%2988
W1U 731%39
W1W 534%310
W1W 639%325
W1W 76%03
W1W 8184%1689
W2 199%9175
W2 229%218
W2 3240%21138
W2 4126%1183
W2 547%436
W2 665%683
W3 050%435
W3 677%786
W3 750%455
W3 824%225
W3 9449%39249
W4 1117%1080
W4 215%113
W4 347%432
W4 4287%25148
W4 578%785
W5 130%322
W5 2834%72821
W5 3113%1091
W5 467%655
W5 5528%45370
W6 089%8121
W6 731%332
W6 864%670
W6 9313%27397
W7 17%15
W7 29%15
W7 393%867
W8 4139%1275
W8 568%663
W8 6159%1495
W8 791%852
W9 1135%1296
W9 289%865
W9 3239%21222
WC1A 1133%1127
WC1A 260%517
WC1B 3191%16151
WC1B 512%12
WC1E 6104%967
WC1E 712%16
WC1H 07%14
WC1H 814%15
WC1H 924%219
WC1N 169%633
WC1N 32%02
WC1R 43%02
WC1R 58%13
WC1V 658%516
WC1V 7689%59147
WC1X 024%29
WC1X 8123%1159
WC1X 912%15
WC2A 217%11
WC2A 326%217
WC2B 45%02
WC2B 511%115
WC2B 6798%6950
WC2E 729%232
WC2E 8583%50116
WC2E 9350%30201
WC2H 0735%63138
WC2H 761%520
WC2H 8105%944
WC2H 9327%28269
WC2N 473%636
WC2N 5109%9115
WC2N 676%737
WC2R 0319%2763
WC2R 13%01
WC2R 2103%96

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 90.1k, and this number has increased by 23.2% when compared year-over-year in the period of September 2024 - August 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 September 2024 - August 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.

+23.2% annual change, crime is increasing

90.1k 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 August 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

Next for London region

→ Crime stats  

→ Property prices  

→ Energy costs  

→ Home features  

→ Salary and unemployment  

→ Population statistics  

→ Home energy efficiency  

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