London shoplifting crime statistics

Annual crime rate in London region is 9.5 crimes per 1000 people. Compared to the national crime rate, London's rate is at 113% as of January 2025.Shoplifting crime makes up 7.1% of all crimes reported in the region. The total number of "shoplifting crime" is 82.4k, and this number has increased by 47.5% when compared year-over-year in the period of December 2023 - November 2024.

London regioncrime statisticEngland & Wales
9.5 annual crime rate per 1k workday people8.4
113% ratio of national crime rate100%
7.1% share of all crimes8.2%
82.4k crimes reported469k
47.5% annual change20.3%

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 1647%54545
BR1 223%220
BR1 3153%13146
BR1 491%881
BR1 5177%15183
BR2 017%113
BR2 728%216
BR2 825%219
BR2 963%566
BR3 1206%17135
BR3 342%441
BR3 445%441
BR3 543%416
BR3 619%26
BR4 047%430
BR4 938%324
BR5 1107%980
BR5 245%442
BR5 3212%18187
BR5 46%04
BR6 0274%23237
BR6 651%422
BR6 79%16
BR6 8176%15111
BR6 9319%27284
BR7 513%16
BR7 681%758
CR0 083%7104
CR0 1338%28535
CR0 2154%13271
CR0 3205%17287
CR0 4336%28647
CR0 55%04
CR0 6338%28449
CR0 748%446
CR0 8237%20183
CR0 980%752
CR2 08%15
CR2 628%223
CR2 8108%978
CR2 939%318
CR4 116%116
CR4 293%874
CR4 346%453
CR4 44%04
CR5 18%15
CR5 2177%15130
CR7 6193%16111
CR7 715%119
CR7 858%568
CR8 2100%866
CR8 416%16
CR8 5386%32196
DA1 4177%15159
DA14 5128%1177
DA14 6171%14123
DA15 737%316
DA15 837%332
DA15 959%531
DA16 1259%22188
DA16 250%440
DA16 334%322
DA17 562%538
DA17 671%646
DA18 42%01
DA5 167%632
DA5 38%14
DA6 7323%27202
DA6 863%530
DA7 4516%43424
DA7 545%429
DA7 614%19
DA8 145%444
DA8 2338%28279
DA8 325%218
E1 024%219
E1 1128%1194
E1 2101%878
E1 312%16
E1 486%7127
E1 556%548
E1 6144%12260
E1 721%238
E1 830%350
E10 5104%9115
E10 618%224
E10 780%786
E11 1286%24230
E11 2111%984
E11 340%338
E11 424%224
E12 537%341
E12 611%118
E13 0115%10134
E13 832%337
E13 986%7104
E14 058%551
E14 214%12
E14 345%446
E14 4110%9171
E14 548%4270
E14 6127%11103
E14 799%895
E14 822%234
E14 949%4110
E15 1217%18265
E15 21318%1101232
E15 326%225
E15 4323%27359
E16 1702%59589
E16 223%222
E16 337%335
E16 419%219
E17 388%787
E17 415%119
E17 539%345
E17 6174%15205
E17 7333%28270
E17 823%223
E17 915%113
E18 1414%35206
E18 247%432
E1W 138%317
E1W 2136%1160
E1W 312%14
E2 0131%11103
E2 6112%964
E2 7124%1081
E2 8155%1399
E2 964%548
E3 2118%10111
E3 3150%13135
E3 4101%8101
E3 57%16
E4 610%110
E4 778%772
E4 8400%34403
E4 958%567
E5 068%668
E5 827%226
E5 954%558
E6 1109%9135
E6 2116%10150
E6 312%116
E6 527%227
E6 6156%13193
E7 055%549
E7 832%350
E7 94%05
E8 1330%28265
E8 2260%22183
E8 382%761
E8 448%433
E9 554%453
E9 6154%13162
E9 789%774
EC1A 23%01
EC1A 44%01
EC1A 927%28
EC1M 3142%1212
EC1M 527%213
EC1M 66%13
EC1N 850%435
EC1R 114%13
EC1R 4414%35138
EC1R 520%24
EC1V 1664%5661
EC1V 237%39
EC1V 310%13
EC1V 459%519
EC1V 712%14
EC1V 85%01
EC1V 9436%37256
EC1Y 05%01
EC1Y 1119%1012
EC1Y 812%113
EC2A 1256%2145
EC2A 212%12
EC2A 374%655
EC2A 42%03
EC2M 150%420
EC2M 3237%2047
EC2M 4132%11144
EC2M 5439%3787
EC2M 7116%1092
EC2N 43%01
EC2V 6330%28161
EC2V 8138%1239
EC2Y 53%02
EC2Y 869%6103
EC2Y 934%311
EC3A 559%532
EC3A 714%14
EC3N 1128%1178
EC3N 225%220
EC3N 412%16
EC3R 535%319
EC3R 725%29
EC3R 85%05
EC3V 0151%1387
EC3V 338%315
EC3V 9252%2150
EC4A 32%02
EC4M 79%14
EC4M 9872%73210
EC4N 5273%2323
EC4R 045%463
EC4V 428%24
EC4V 51%01
EC4V 639%313
EC4Y 144%410
EN1 1234%20256
EN1 238%318
EN1 3182%15191
EN1 410%19
EN2 0105%963
EN2 6295%25147
EN2 714%17
EN2 816%112
EN2 938%37
EN3 4108%9101
EN3 5219%18245
EN3 611%114
EN3 732%338
EN4 096%840
EN4 872%656
EN4 94%02
EN5 128%214
EN5 22%02
EN5 321%25
EN5 585%753
HA0 189%785
HA0 235%330
HA0 345%430
HA0 430%328
HA1 1408%34322
HA1 2146%12118
HA1 383%7109
HA1 4147%12129
HA2 0135%11106
HA2 624%211
HA2 73%02
HA2 8121%1096
HA2 943%438
HA3 063%549
HA3 576%654
HA3 682%757
HA3 755%543
HA3 89%18
HA3 98%18
HA4 0325%27224
HA4 617%113
HA4 7122%1083
HA4 847%425
HA4 958%535
HA5 1155%1389
HA5 2349%29184
HA5 350%436
HA5 4428%36237
HA5 5149%1277
HA6 161%542
HA6 2209%18164
HA7 162%536
HA7 231%319
HA7 454%541
HA8 029%225
HA8 557%547
HA8 653%438
HA8 7274%23144
HA8 88%17
HA8 944%433
HA9 0374%31214
HA9 640%335
HA9 7330%28219
HA9 8125%10127
HA9 967%657
IG1 1255%21354
IG1 259%588
IG1 32%02
IG1 447%450
IG11 098%8121
IG11 740%349
IG11 8417%35416
IG11 914%117
IG2 669%665
IG2 7166%14156
IG3 836%351
IG3 914%116
IG4 57%15
IG5 027%228
IG6 189%758
IG6 2164%14137
IG6 316%19
IG7 432%317
IG8 072%644
IG8 72%01
IG8 8103%958
IG8 95%03
IG9 63%01
KT1 1833%70699
KT1 2162%14157
KT1 312%110
KT1 44%01
KT2 536%332
KT2 6177%15123
KT2 715%113
KT3 3142%12122
KT3 4181%15112
KT3 510%16
KT3 620%215
KT4 833%334
KT5 816%110
KT5 919%211
KT6 4174%1576
KT6 64%02
KT6 749%443
KT8 989%732
KT9 153%436
KT9 229%224
N1 0409%34403
N1 1400%34257
N1 2261%22228
N1 323%211
N1 455%529
N1 526%216
N1 647%441
N1 712%111
N1 8113%986
N1 9101%8147
N10 168%638
N10 3131%1183
N11 1531%44471
N11 214%19
N11 3159%1390
N12 0160%1399
N12 8320%27191
N12 991%850
N13 4701%59552
N13 559%547
N13 67%13
N14 414%110
N14 5432%36277
N14 627%214
N14 73%01
N15 374%650
N15 4239%20210
N15 536%326
N15 613%112
N16 052%428
N16 5291%24327
N16 764%543
N16 8207%17157
N16 927%210
N17 069%673
N17 64%05
N17 722%215
N17 817%111
N17 9116%10130
N18 12%02
N18 289%7121
N18 368%63
N19 3188%16152
N19 473%646
N19 594%890
N1C 41487%125156
N2 03%02
N2 823%29
N2 9170%1489
N20 032%323
N20 9338%28128
N21 126%214
N21 220%29
N21 340%320
N22 565%555
N22 6628%53686
N22 710%17
N22 85%03
N3 175%651
N3 2126%1199
N3 38%14
N4 181%770
N4 2143%12219
N4 3213%18160
N4 414%15
N5 150%438
N5 215%111
N6 5109%969
N6 626%26
N7 093%873
N7 6630%53328
N7 779%747
N7 8112%991
N7 993%883
N8 075%652
N8 724%214
N8 8151%1389
N8 938%323
N9 0174%15175
N9 713%19
N9 88%17
N9 94%05
NW1 042%345
NW1 19%19
NW1 215%123
NW1 329%227
NW1 430%316
NW1 5160%1365
NW1 641%337
NW1 7205%17179
NW1 8612%51555
NW1 970%655
NW10 0280%23260
NW10 118%212
NW10 2219%18153
NW10 310%16
NW10 4172%14125
NW10 5169%14132
NW10 63%02
NW10 733%354
NW10 818%117
NW10 916%112
NW11 073%631
NW11 652%422
NW11 751%424
NW11 8153%1370
NW11 96%14
NW2 1127%1191
NW2 2237%20114
NW2 3120%1063
NW2 471%632
NW2 516%19
NW2 6111%998
NW2 771%664
NW3 1413%35152
NW3 2128%11172
NW3 315%19
NW3 4278%23135
NW3 577%643
NW3 6400%34232
NW4 1169%1482
NW4 238%324
NW4 3327%27302
NW4 4180%15122
NW5 150%442
NW5 2300%25222
NW5 320%29
NW5 45%03
NW6 1270%23169
NW6 246%418
NW6 344%417
NW6 4514%43266
NW6 5132%11103
NW6 6320%27196
NW6 7200%17149
NW7 1241%20135
NW7 258%532
NW7 3216%18101
NW8 0198%1798
NW8 6219%1877
NW8 7100%845
NW8 810%19
NW9 0324%27270
NW9 582%7111
NW9 697%865
NW9 766%630
NW9 8352%30240
NW9 9567%48405
RM1 1871%73383
RM1 238%317
RM1 3232%19143
RM1 48%17
RM10 7182%15176
RM10 8160%13147
RM10 98%19
RM11 1172%14138
RM11 230%219
RM11 328%218
RM12 478%678
RM12 5211%18116
RM12 6199%17128
RM13 7222%19123
RM13 841%325
RM13 980%776
RM14 19%16
RM14 2357%30231
RM14 318%29
RM2 583%735
RM2 6401%34146
RM3 0242%20233
RM3 72%01
RM3 8264%22206
RM3 933%322
RM5 2159%1386
RM5 344%429
RM6 4263%22236
RM6 59%16
RM6 672%650
RM7 053%465
RM7 754%516
RM7 8108%945
RM7 910%14
RM8 130%228
RM8 217%117
RM8 3315%26235
RM9 4131%11108
RM9 51%01
RM9 6233%20187
SE1 049%4113
SE1 147%463
SE1 266%6172
SE1 328%230
SE1 457%553
SE1 5126%11101
SE1 6101%866
SE1 759%5150
SE1 865%581
SE1 933%368
SE10 0230%19189
SE10 819%211
SE10 9723%61561
SE11 422%214
SE11 59%17
SE11 66%03
SE12 043%426
SE12 816%19
SE12 9136%1176
SE13 5348%29288
SE13 676%687
SE13 7199%17206
SE14 557%554
SE14 6144%12109
SE15 160%536
SE15 240%331
SE15 343%436
SE15 423%212
SE15 5865%72653
SE15 619%215
SE16 29%17
SE16 354%441
SE16 447%420
SE16 5248%2172
SE16 7156%1366
SE17 1530%44265
SE17 2643%54592
SE17 324%218
SE18 151%450
SE18 286%752
SE18 314%111
SE18 479%774
SE18 57%15
SE18 6244%20275
SE18 715%113
SE19 134%318
SE19 218%18
SE19 337%325
SE2 071%652
SE2 9248%21237
SE20 7144%12106
SE20 8539%45385
SE21 76%02
SE21 819%213
SE22 07%14
SE22 8182%15130
SE22 941%318
SE23 1207%17125
SE23 357%538
SE24 069%638
SE24 949%426
SE25 482%764
SE25 598%863
SE25 652%443
SE26 4259%22157
SE26 553%433
SE26 66%14
SE27 023%217
SE27 9192%16120
SE28 010%19
SE28 8115%10140
SE3 0328%27158
SE3 725%212
SE3 839%323
SE3 990%846
SE4 113%112
SE4 2159%13118
SE5 084%756
SE5 8263%22300
SE5 921%230
SE6 14%04
SE6 294%8100
SE6 381%764
SE6 4344%29287
SE7 7168%14164
SE7 899%869
SE8 3277%23175
SE8 4813%68471
SE8 537%324
SE9 1108%980
SE9 278%760
SE9 324%219
SE9 4196%16147
SE9 566%536
SE9 6176%15110
SM1 1573%48388
SM1 225%222
SM1 328%226
SM1 470%656
SM2 523%223
SM2 65%03
SM3 832%319
SM3 994%883
SM4 42%02
SM4 5209%18168
SM4 65%04
SM5 128%223
SM5 2154%13110
SM5 3143%1277
SM6 0365%31181
SM6 738%317
SM6 857%541
SM6 9395%33305
SW10 024%226
SW10 998%868
SW11 1498%42318
SW11 256%541
SW11 3269%23235
SW11 4101%860
SW11 5165%14150
SW11 628%217
SW12 012%15
SW12 823%217
SW12 9571%48312
SW13 050%422
SW13 979%743
SW14 7205%17101
SW14 819%212
SW15 1243%20171
SW15 277%659
SW15 373%647
SW15 493%868
SW15 512%19
SW15 676%641
SW16 1244%20163
SW16 221%220
SW16 379%744
SW16 4567%48476
SW16 5127%11126
SW16 682%773
SW17 0182%15300
SW17 765%559
SW17 816%116
SW17 9159%13157
SW18 166%659
SW18 249%431
SW18 310%18
SW18 4131%11127
SW18 534%327
SW19 1572%48478
SW19 2429%36381
SW19 315%114
SW19 413%110
SW19 557%524
SW19 63%02
SW19 7127%1167
SW19 8166%14174
SW1A 0299%2512
SW1A 15%03
SW1A 227%232
SW1E 5430%36260
SW1E 610%17
SW1H 01%01
SW1P 167%669
SW1P 210%116
SW1P 47%17
SW1V 1116%1074
SW1V 278%733
SW1V 335%318
SW1V 46%12
SW1W 03%03
SW1W 8261%22127
SW1W 938%332
SW1X 0143%1230
SW1X 771%650
SW1X 830%211
SW1X 9184%1583
SW1Y 432%320
SW1Y 53%02
SW1Y 6192%16100
SW2 164%532
SW2 213%18
SW2 3145%12109
SW2 4113%1063
SW2 530%221
SW20 0124%1074
SW20 8107%968
SW20 911%15
SW3 1287%24219
SW3 2211%18114
SW3 3227%19114
SW3 4252%21122
SW3 537%316
SW3 621%212
SW4 078%736
SW4 662%534
SW4 7890%75406
SW4 827%211
SW4 911%16
SW5 06%03
SW5 9152%1389
SW6 1258%22174
SW6 229%228
SW6 31%01
SW6 4106%965
SW6 5123%1060
SW6 632%321
SW6 775%649
SW7 12%01
SW7 211%110
SW7 335%313
SW7 4271%23130
SW7 523%215
SW8 1693%58586
SW8 288%768
SW8 338%318
SW8 440%327
SW8 5298%25122
SW9 048%427
SW9 674%638
SW9 795%865
SW9 8611%51298
SW9 9108%976
TN16 241%38
TN16 3141%12111
TW1 1111%960
TW1 211%14
TW1 3221%19120
TW1 414%19
TW10 592%820
TW10 628%218
TW10 716%18
TW11 8107%977
TW11 953%430
TW12 1151%1382
TW12 234%322
TW12 365%528
TW13 4323%27320
TW13 531%319
TW13 6135%1182
TW13 72%01
TW14 045%439
TW14 830%228
TW14 920%215
TW2 581%749
TW2 678%748
TW2 7103%976
TW3 1443%37411
TW3 23%02
TW3 3100%885
TW3 46%04
TW4 554%539
TW4 63%02
TW4 721%215
TW5 0399%33329
TW5 962%583
TW6 230%39
TW6 3311%2653
TW7 420%211
TW7 528%231
TW7 620%218
TW7 754%532
TW8 036%327
TW8 8518%43266
TW8 957%552
TW9 1468%39315
TW9 238%320
TW9 314%15
TW9 4162%1482
UB1 1200%17169
UB1 29%111
UB1 332%330
UB10 0138%12100
UB10 813%110
UB10 966%647
UB2 481%7105
UB2 5109%9152
UB3 119%225
UB3 298%890
UB3 3298%25232
UB3 4381%32297
UB3 581%753
UB4 061%551
UB4 823%221
UB4 9177%15136
UB5 4367%31349
UB5 543%436
UB5 625%229
UB6 065%557
UB6 77%15
UB6 8113%9154
UB6 9113%9113
UB7 03%010
UB7 7476%40319
UB7 811%18
UB7 913%18
UB8 1345%29408
UB8 217%128
UB8 313%120
UB9 615%110
W10 431%321
W10 560%570
W10 681%772
W11 1126%1190
W11 2343%29189
W11 3402%34185
W11 4321%27262
W12 05%06
W12 7100%8221
W12 8955%80799
W12 979%764
W13 099%866
W13 845%422
W13 9101%888
W14 011%19
W14 832%332
W14 9114%10112
W1B 284%730
W1B 3421%353
W1B 4873%7370
W1B 51512%127316
W1C 13186%267149
W1D 28132%68192
W1D 372%629
W1D 477%618
W1D 521%26
W1D 65%02
W1D 7114%1034
W1F 0122%1061
W1F 7457%38340
W1F 8127%1181
W1F 9195%16118
W1G 0463%3947
W1G 632%39
W1G 852%418
W1H 278%79
W1H 45%01
W1H 5148%1239
W1H 646%412
W1H 7480%40205
W1J 0261%2258
W1J 52%01
W1J 682%741
W1J 75%03
W1J 89%13
W1K 222%210
W1K 322%212
W1K 447%410
W1K 5316%2698
W1K 6104%923
W1K 79%12
W1S 1382%32357
W1S 2199%17108
W1S 3639%54118
W1S 4254%21129
W1T 1216%18205
W1T 2133%1149
W1T 3105%950
W1T 420%211
W1T 5122%1074
W1T 7162%1441
W1U 11361%114545
W1U 2102%926
W1U 332%313
W1U 4655%55119
W1U 542%411
W1U 6164%1441
W1U 711%13
W1W 518%15
W1W 692%858
W1W 78%14
W1W 8249%21117
W2 1112%9192
W2 240%324
W2 3212%18119
W2 4158%13101
W2 546%434
W2 652%464
W3 086%758
W3 676%683
W3 728%230
W3 813%113
W3 9317%27171
W4 1133%1188
W4 230%225
W4 3187%16123
W4 4319%27160
W4 586%791
W5 145%432
W5 2513%43492
W5 332%325
W5 489%771
W5 5344%29235
W6 080%7105
W6 733%333
W6 850%453
W6 9224%19276
W7 115%110
W7 25%03
W7 3107%975
W8 4149%1278
W8 5101%892
W8 6124%1072
W8 7117%1065
W9 1137%1195
W9 26%04
W9 384%776
WC1A 196%819
WC1A 247%413
WC1B 362%548
WC1B 513%12
WC1E 654%534
WC1E 713%16
WC1H 04%02
WC1H 812%14
WC1H 913%110
WC1N 192%843
WC1N 23%01
WC1N 36%06
WC1R 42%01
WC1R 56%02
WC1V 6135%1136
WC1V 7380%3279
WC1X 064%523
WC1X 8124%1058
WC1X 924%210
WC2A 13%01
WC2A 321%213
WC2B 45%02
WC2B 517%123
WC2B 6295%2518
WC2E 788%795
WC2E 8666%56129
WC2E 9215%18120
WC2H 0541%4599
WC2H 759%519
WC2H 869%628
WC2H 9349%29279
WC2N 483%740
WC2N 582%784
WC2N 657%527
WC2R 0203%1739
WC2R 16%02
WC2R 288%75
WC2R 34%01

London shoplifting crime rate rank

Crime rate ranking : 3. 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 82.4k, and this number has increased by 47.5% when compared year-over-year in the period of December 2023 - November 2024. 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 December 2023 - November 2024 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.

+47.5% annual change, crime is increasing

82.4k 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 November 2024.

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 2019 till 2023.

London shoplifting crime seasonality

Plumplot area insights - interactive charts and maps

Plumplot area insights - interactive maps and charts

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