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Inner London shoplifting crime statistics

Annual crime rate is 5.4, i.e. 5.4 crimes committed per annum per 1000 workday people. The rate is 83% of a national crime rate. Shoplifting crime makes 4.2% of all crimes committed in the postcode area. The total volume of shoplifting crime is 30.7k and has decreased by 5.6% when compared year-over-year in the period of November 2017 - October 2018.

5.4

annual crime rate per 1k workday people

83%

of national crime rate

4.2%

of all crimes

30.7k

crimes committed

-5.6%

annual change

Inner London shoplifting crime rate comparison map

November 2017 - October 2018

Inner London shoplifting crime rate comparison map
Postcode sectorCrime rate vs. ENG & WLS rateCrime rate per 1000 workday peopleTotal number of crimes
E1 08%15
E1 186%649
E1 272%543
E1 471%581
E1 543%329
E1 683%5117
E1 714%120
E1 820%126
E10 594%681
E10 613%114
E10 766%455
E11 1107%767
E11 268%440
E11 356%441
E11 448%337
E12 521%118
E12 610%113
E13 08%17
E13 844%340
E13 9224%15210
E14 015%110
E14 245%35
E14 328%222
E14 440%348
E14 542%3186
E14 695%660
E14 738%228
E14 89%111
E14 911%120
E15 1710%46676
E15 2630%41459
E15 33%02
E15 4172%11149
E16 193%661
E16 229%221
E16 345%333
E16 410%18
E17 352%340
E17 422%122
E17 592%683
E17 632%229
E17 7304%20192
E17 837%229
E17 961%441
E18 193%636
E18 226%214
E1W 19%13
E1W 255%419
E1W 34%01
E2 0104%764
E2 6119%853
E2 790%646
E2 810%15
E2 915%19
E3 255%440
E3 369%448
E3 446%336
E3 581%552
E4 614%111
E4 758%442
E4 8110%786
E4 920%118
E5 014%111
E5 865%449
E5 966%455
E6 1178%12171
E6 268%468
E6 333%235
E6 526%220
E6 6134%9129
E7 032%222
E7 865%480
E7 919%118
E8 1294%19184
E8 2359%23197
E8 376%544
E8 439%321
E9 59%17
E9 648%339
E9 78%15
EC1A 24%01
EC1A 423%25
EC1A 744%332
EC1A 99%12
EC1M 330%22
EC1M 53%01
EC1M 63%01
EC1N 622%11
EC1N 75%02
EC1N 86%03
EC1R 431%28
EC1R 551%38
EC1V 1140%910
EC1V 25%01
EC1V 39%12
EC1V 452%313
EC1V 74%01
EC1V 948%322
EC1Y 013%12
EC1Y 113%11
EC1Y 48%11
EC1Y 818%115
EC2A 336%221
EC2A 428%228
EC2M 126%28
EC2M 2123%819
EC2M 332%25
EC2M 4124%8105
EC2M 532%25
EC2M 652%38
EC2M 7172%11106
EC2N 226%24
EC2N 46%02
EC2R 665%410
EC2V 59%12
EC2V 6171%1165
EC2V 850%311
EC2Y 81%01
EC2Y 931%28
EC3A 714%13
EC3M 486%612
EC3M 73%02
EC3N 127%213
EC3N 211%17
EC3N 43%01
EC3R 55%02
EC3R 750%314
EC3R 815%111
EC3V 0234%15105
EC3V 119%13
EC3V 3120%837
EC3V 96%01
EC4A 140%327
EC4M 730%210
EC4M 9219%1441
EC4N 1289%1919
EC4N 5548%3636
EC4N 7169%1126
EC4R 06%06
EC4R 942%313
EC4V 444%35
EC4V 643%311
EC4Y 174%513
EC4Y 869%518
N1 0429%28329
N1 1260%17130
N1 290%661
N1 327%210
N1 410%14
N1 516%18
N1 634%223
N1 715%111
N1 8127%875
N1 961%469
N10 139%317
N10 27%03
N10 379%539
N11 1197%13136
N11 295%649
N11 377%534
N12 098%647
N12 893%643
N12 968%429
N13 447%329
N13 552%332
N13 634%211
N14 47%04
N14 5244%16122
N14 612%15
N14 74%01
N15 361%432
N15 4236%15162
N15 594%652
N15 613%19
N16 019%18
N16 556%449
N16 65%04
N16 7166%1187
N16 863%437
N16 924%27
N17 061%450
N17 615%116
N17 748%325
N17 857%429
N17 9213%14187
N18 17%07
N18 2108%7114
N18 32263%14878
N19 319%112
N19 412%16
N19 598%673
N1C 45016%327410
N2 842%313
N2 92%01
N20 05%03
N20 968%420
N21 112%15
N21 229%210
N21 352%320
N22 536%224
N22 6388%25330
N22 74%02
N22 820%110
N3 151%327
N3 244%327
N3 310%14
N4 1151%10102
N4 249%359
N4 382%548
N4 429%28
N5 127%216
N5 27%04
N6 512%16
N6 611%12
N7 013%18
N7 6597%39242
N7 752%324
N7 882%552
N7 943%330
N8 083%545
N8 730%214
N8 8154%1071
N8 938%318
N9 0172%11135
N9 724%213
N9 82%01
N9 95%04
NW1 083%570
NW1 13%02
NW1 279%594
NW1 337%227
NW1 422%19
NW1 528%29
NW1 665%445
NW1 7182%12124
NW1 8184%12130
NW1 9112%769
NW10 0177%12128
NW10 136%218
NW10 2112%761
NW10 313%16
NW10 4210%14119
NW10 525%215
NW10 610%15
NW10 720%125
NW10 813%110
NW10 912%17
NW11 030%210
NW11 69%13
NW11 752%319
NW11 8124%844
NW11 955%427
NW2 1139%978
NW2 211%14
NW2 388%636
NW2 411%14
NW2 54%02
NW2 6119%882
NW2 79%16
NW3 1241%1669
NW3 224%225
NW3 330%214
NW3 493%635
NW3 565%428
NW3 6106%748
NW3 76%02
NW4 119%17
NW4 229%214
NW4 3529%35381
NW4 413%17
NW5 16%04
NW5 2142%982
NW5 332%211
NW5 421%110
NW6 141%320
NW6 226%28
NW6 333%210
NW6 4414%27167
NW6 523%214
NW6 657%427
NW6 7122%871
NW7 127%212
NW7 228%212
NW7 377%528
NW8 03%01
NW8 6139%938
NW8 737%213
NW8 810%17
NW8 97%03
NW9 074%548
NW9 525%227
NW9 663%433
NW9 722%18
NW9 8105%756
NW9 983%546
SE1 09%116
SE1 132%234
SE1 267%4137
SE1 325%221
SE1 457%441
SE1 5152%1095
SE1 6205%13105
SE1 717%134
SE1 8194%13188
SE1 927%243
SE10 061%439
SE10 881%537
SE10 9227%15137
SE11 428%214
SE11 532%220
SE11 67%03
SE12 058%427
SE12 859%426
SE13 573%547
SE13 6146%10131
SE13 7220%14177
SE14 551%337
SE14 654%432
SE15 1116%854
SE15 259%435
SE15 36%04
SE15 4112%745
SE15 5420%27247
SE15 636%222
SE16 222%113
SE16 340%324
SE16 436%212
SE16 7481%31159
SE17 1164%1164
SE17 2134%996
SE17 340%324
SE18 179%560
SE18 259%428
SE18 324%214
SE18 416%112
SE18 57%04
SE18 6462%30406
SE18 71%01
SE19 195%639
SE19 234%212
SE19 330%216
SE2 033%219
SE2 9104%777
SE20 7140%980
SE20 877%543
SE21 77%02
SE21 816%19
SE22 05%02
SE22 8140%978
SE22 987%630
SE23 164%430
SE23 210%16
SE23 352%327
SE24 049%321
SE24 944%318
SE25 426%216
SE25 532%216
SE25 657%437
SE26 423%211
SE26 5181%1288
SE26 66%03
SE27 029%217
SE27 9132%964
SE28 046%331
SE28 852%349
SE3 059%422
SE3 785%632
SE3 813%16
SE3 948%319
SE4 145%332
SE4 281%547
SE5 033%217
SE5 725%215
SE5 883%574
SE5 916%118
SE6 110%18
SE6 2134%9111
SE6 336%222
SE6 4191%12124
SE7 7300%20228
SE7 8129%870
SE8 339%319
SE8 4155%1070
SE8 560%430
SE9 1218%14126
SE9 285%651
SE9 316%110
SE9 472%542
SE9 5138%959
SE9 666%432
SW10 016%113
SW10 970%538
SW11 1593%39295
SW11 277%544
SW11 337%225
SW11 434%216
SW11 510%17
SW11 632%215
SW12 03%01
SW12 831%218
SW12 9275%18117
SW13 035%212
SW13 940%317
SW14 794%636
SW14 82%01
SW15 1173%1195
SW15 267%440
SW15 364%432
SW15 426%215
SW15 53%02
SW15 676%532
SW16 1202%13105
SW16 228%221
SW16 323%110
SW16 426%217
SW16 578%560
SW16 669%548
SW17 0113%7145
SW17 760%443
SW17 89%17
SW17 9177%12136
SW18 182%557
SW18 225%212
SW18 38%15
SW18 4323%21244
SW18 52%01
SW19 1178%12116
SW19 2155%10107
SW19 328%221
SW19 4251%16146
SW19 530%210
SW19 624%212
SW19 7110%745
SW19 8190%12155
SW1A 14%02
SW1A 234%231
SW1E 5112%753
SW1E 643%324
SW1H 03%02
SW1P 1149%10120
SW1P 212%115
SW1P 44%03
SW1V 1387%25192
SW1V 221%17
SW1V 312%15
SW1W 07%05
SW1W 8262%1799
SW1W 923%115
SW1X 098%616
SW1X 7485%32268
SW1X 831%29
SW1X 9236%1583
SW1Y 435%217
SW1Y 57%04
SW1Y 6192%1378
SW2 1120%847
SW2 227%213
SW2 312%17
SW2 4129%856
SW2 551%328
SW20 0103%748
SW20 836%218
SW20 916%16
SW3 199%659
SW3 250%321
SW3 3117%846
SW3 4281%18106
SW3 565%422
SW3 625%211
SW4 086%631
SW4 647%320
SW4 7217%1477
SW4 952%322
SW5 02%01
SW5 9214%1498
SW6 1245%16129
SW6 220%115
SW6 316%19
SW6 456%427
SW6 558%422
SW6 629%215
SW6 759%430
SW7 124%28
SW7 215%110
SW7 376%522
SW7 459%422
SW7 515%18
SW8 183%555
SW8 267%440
SW8 340%315
SW8 425%213
SW8 519%16
SW9 039%317
SW9 6147%1059
SW9 754%429
SW9 8595%39226
SW9 957%431
W10 47%04
W10 564%458
W10 668%447
W11 1117%865
W11 2370%24159
W11 3195%1370
W11 479%550
W12 07%07
W12 7126%8216
W12 8758%49494
W12 957%436
W13 0142%974
W13 8123%847
W13 982%556
W14 012%18
W14 861%448
W14 925%219
W1B 2791%52219
W1B 3541%353
W1B 41937%126121
W1B 51185%77193
W1C 14832%315176
W1C 255%42
W1D 13824%250162
W1D 25446%35648
W1D 398%631
W1D 4131%924
W1D 5117%826
W1D 661%419
W1D 743%310
W1F 062%424
W1F 7354%23205
W1F 8105%752
W1F 989%642
W1G 01378%90109
W1G 695%621
W1G 84%01
W1H 14%01
W1H 244%34
W1H 559%412
W1H 6186%1238
W1H 7129%843
W1J 0162%1128
W1J 520%17
W1J 646%318
W1J 76%03
W1J 864%417
W1K 19%11
W1K 246%316
W1K 317%17
W1K 4150%1025
W1K 5497%32120
W1K 6174%1130
W1K 7565%37100
W1S 1202%13147
W1S 2194%1382
W1S 3612%4088
W1S 4177%1270
W1T 1160%10118
W1T 2217%1462
W1T 3203%1375
W1T 4105%745
W1T 536%217
W1T 751%310
W1U 1940%61293
W1U 2197%1339
W1U 310%13
W1U 4537%3576
W1U 530%26
W1U 692%618
W1U 718%14
W1U 87%02
W1W 55%01
W1W 64%02
W1W 712%15
W1W 8246%1690
W2 1107%7143
W2 285%640
W2 332%214
W2 4128%864
W2 524%214
W2 642%341
W3 027%214
W3 661%452
W3 730%225
W3 811%19
W3 9159%1067
W4 1143%974
W4 230%220
W4 34%02
W4 477%530
W4 595%678
W5 160%433
W5 2131%998
W5 328%217
W5 466%441
W5 5369%24196
W6 095%698
W6 787%668
W6 825%221
W6 9250%16240
W7 133%217
W7 212%15
W7 335%219
W8 4208%1485
W8 5108%776
W8 6133%960
W8 748%321
W9 150%327
W9 24%02
W9 345%332
WC1A 1124%819
WC1A 29%12
WC1B 373%544
WC1B 541%35
WC1E 6105%751
WC1E 711%14
WC1H 88%02
WC1H 910%16
WC1N 1104%738
WC1N 329%223
WC1R 44%02
WC1R 554%415
WC1V 6159%1033
WC1V 725%24
WC1X 075%521
WC1X 888%632
WC1X 912%14
WC2A 14%01
WC2A 38%14
WC2B 57%07
WC2B 6421%2720
WC2E 725%221
WC2E 81094%71165
WC2E 9494%32215
WC2H 077%511
WC2H 764%416
WC2H 8439%29139
WC2H 9239%16149
WC2N 435%213
WC2N 524%219
WC2N 6232%1585
WC2R 0294%1944
WC2R 18%02
WC2R 35%01

Inner London shoplifting crime rate rank

Inner London shoplifting crime rate rank

Inner London shoplifting crime rate compared to other areas

The total volume of shoplifting crime is 30.7k and has decreased by 5.6% when compared year-over-year in the period of November 2017 - October 2018. In the graph below postcode area are compared by crime rate and crime rate percentage change. Crime rate % change compares the postcode area crime rate between November 2017 - October 2018 to the postcode area crime rate in the previous 12 months. Size of the circle determines the number of total crimes committed. The bigger circle means the higher crime volumes committed in the postcode area.

-5.6%

annual change

5.4

annual crime rate per 1k workday people

30.7k

crimes committed
Inner London shoplifting crime rate compared to other areasCrime rate percentage change
Crime rate per 1000 workday people

Inner London shoplifting crime rate

Annual crime rate per 1000 workday people

Inner London shoplifting crime rate

Inner London shoplifting crime seasonality

Total number of crimes commited in a given calendar month(1 - January … 12 - December) in the previous four years.

Inner London shoplifting crime seasonality

Related reports

Inner London crime stats


Inner London real estate market


Inner London population statistics


Inner London salary and unemployment


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