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Inner London shoplifting crime statistics

Annual crime rate in Inner London postcode area is 5.4, i.e. 5.4 crimes committed per annum per 1000 workday people. Compared to the national crime rate, Inner London's crime rate is at 83%. Shoplifting crime makes up 4.2% of all crimes committed in the postcode area. The total number of "shoplifting crime" is 30.4k, and this number has decreased by 6.8% when compared year-over-year in the period of December 2017 - November 2018.

5.4

annual crime rate per 1k workday people

83%

of national crime rate

4.2%

of all crimes

30.4k

crimes committed

-6.8%

annual change

Inner London shoplifting crime rate comparison map

December 2017 - November 2018

Inner London shoplifting crime rate comparison map
Postcode sectorCrime rate vs. ENG & WLS rateCrime rate per 1000 workday peopleTotal number of crimes
E1 07%04
E1 188%650
E1 271%542
E1 473%583
E1 547%331
E1 677%5107
E1 714%119
E1 821%127
E10 5104%789
E10 612%112
E10 770%558
E11 1111%769
E11 262%436
E11 366%448
E11 446%335
E12 519%116
E12 69%112
E13 07%06
E13 845%340
E13 9228%15211
E14 013%19
E14 237%24
E14 327%221
E14 438%246
E14 542%3181
E14 698%661
E14 738%228
E14 810%112
E14 912%121
E15 1649%42611
E15 2716%46515
E15 33%02
E15 4174%11149
E16 182%553
E16 233%224
E16 340%329
E16 410%18
E17 357%443
E17 424%223
E17 592%682
E17 631%228
E17 7309%20193
E17 836%228
E17 955%437
E18 191%635
E18 226%214
E1W 19%13
E1W 253%318
E1W 34%01
E2 0105%764
E2 6118%852
E2 781%541
E2 812%16
E2 912%17
E3 243%331
E3 369%448
E3 452%340
E3 589%656
E4 611%19
E4 760%443
E4 8113%788
E4 922%120
E5 014%111
E5 873%554
E5 965%454
E6 1166%11158
E6 263%463
E6 333%234
E6 526%220
E6 6126%8120
E7 031%221
E7 865%478
E7 917%116
E8 1296%19183
E8 2347%22188
E8 377%544
E8 438%220
E9 512%19
E9 647%338
E9 78%15
EC1A 24%01
EC1A 433%27
EC1A 748%335
EC1A 99%12
EC1M 331%22
EC1M 55%02
EC1M 63%01
EC1N 644%32
EC1N 75%02
EC1N 86%03
EC1R 431%28
EC1R 545%37
EC1V 1170%1112
EC1V 25%01
EC1V 39%12
EC1V 448%312
EC1V 74%01
EC1V 938%217
EC1Y 06%01
EC1Y 113%11
EC1Y 48%11
EC1Y 817%114
EC2A 335%220
EC2A 427%226
EC2M 123%17
EC2M 2111%717
EC2M 339%36
EC2M 4142%9119
EC2M 533%25
EC2M 659%49
EC2M 7184%12112
EC2N 233%25
EC2N 47%02
EC2R 639%36
EC2V 59%12
EC2V 6189%1271
EC2V 851%311
EC2Y 81%01
EC2Y 924%26
EC3A 714%13
EC3M 494%613
EC3M 73%02
EC3N 119%19
EC3N 211%17
EC3R 55%02
EC3R 751%314
EC3R 813%19
EC3V 0262%17116
EC3V 126%24
EC3V 3118%836
EC3V 97%01
EC4A 140%327
EC4M 733%211
EC4M 9232%1543
EC4N 1246%1616
EC4N 5508%3333
EC4N 7171%1126
EC4R 06%06
EC4R 946%314
EC4V 445%35
EC4V 647%312
EC4Y 175%513
EC4Y 866%417
N1 0444%29337
N1 1267%17132
N1 285%557
N1 333%212
N1 410%14
N1 521%110
N1 631%221
N1 722%116
N1 8123%872
N1 963%471
N10 130%213
N10 27%03
N10 378%538
N11 1183%12125
N11 292%647
N11 378%534
N12 092%644
N12 74%01
N12 8118%854
N12 971%530
N13 436%222
N13 551%331
N13 634%211
N14 49%15
N14 5239%15118
N14 610%14
N14 74%01
N15 356%429
N15 4233%15158
N15 587%648
N15 611%18
N16 019%18
N16 552%345
N16 65%04
N16 7160%1083
N16 863%437
N16 931%29
N17 049%340
N17 613%113
N17 743%322
N17 863%432
N17 9209%13181
N18 19%19
N18 2114%7119
N18 32143%13873
N19 318%111
N19 414%17
N19 599%673
N1C 45063%327409
N2 845%314
N2 92%01
N20 05%03
N20 962%418
N21 120%18
N21 226%29
N21 355%421
N22 528%218
N22 6383%25322
N22 76%03
N22 823%111
N3 149%326
N3 248%329
N3 311%14
N4 1144%996
N4 246%354
N4 381%547
N4 433%29
N5 132%219
N5 27%04
N6 512%16
N6 611%12
N7 015%19
N7 6574%37230
N7 754%425
N7 881%551
N7 942%329
N8 086%646
N8 731%214
N8 8156%1071
N8 932%215
N9 0172%11133
N9 723%112
N9 85%03
N9 96%05
NW1 084%570
NW1 14%03
NW1 278%592
NW1 338%227
NW1 420%18
NW1 529%29
NW1 667%446
NW1 7177%11119
NW1 8196%13137
NW1 9117%871
NW10 0183%12131
NW10 134%217
NW10 2114%761
NW10 313%16
NW10 4210%14118
NW10 522%113
NW10 610%15
NW10 718%123
NW10 812%19
NW10 912%17
NW11 031%210
NW11 615%15
NW11 761%422
NW11 8139%949
NW11 963%431
NW2 1135%975
NW2 211%14
NW2 392%637
NW2 412%14
NW2 52%01
NW2 6113%777
NW2 710%17
NW3 1254%1672
NW3 222%123
NW3 331%214
NW3 496%636
NW3 568%429
NW3 6107%748
NW3 76%02
NW4 119%17
NW4 227%213
NW4 3560%36399
NW4 412%16
NW5 18%05
NW5 2135%977
NW5 329%210
NW5 422%110
NW6 137%218
NW6 230%29
NW6 337%211
NW6 4404%26161
NW6 523%214
NW6 664%430
NW6 7106%761
NW7 135%215
NW7 228%212
NW7 386%631
NW8 03%01
NW8 6133%936
NW8 735%212
NW8 88%16
NW8 97%03
NW9 072%546
NW9 526%227
NW9 666%434
NW9 717%16
NW9 8103%754
NW9 978%543
SE1 08%115
SE1 132%233
SE1 272%5145
SE1 325%221
SE1 453%338
SE1 5149%1092
SE1 6212%14107
SE1 716%132
SE1 8193%12185
SE1 929%246
SE10 065%441
SE10 885%538
SE10 9244%16146
SE11 422%111
SE11 532%220
SE11 68%03
SE12 058%427
SE12 853%323
SE13 575%548
SE13 6155%10137
SE13 7214%14170
SE14 553%338
SE14 651%330
SE15 1120%855
SE15 252%331
SE15 35%03
SE15 4118%847
SE15 5413%27240
SE15 636%222
SE16 220%112
SE16 334%220
SE16 430%210
SE16 7484%31158
SE17 1172%1166
SE17 2134%995
SE17 341%324
SE18 175%556
SE18 254%325
SE18 322%113
SE18 418%113
SE18 57%04
SE18 6463%30402
SE18 73%02
SE19 196%639
SE19 234%212
SE19 330%216
SE2 026%215
SE2 9106%778
SE20 7134%976
SE20 891%650
SE21 77%02
SE21 815%18
SE22 05%02
SE22 8134%974
SE22 988%630
SE23 160%428
SE23 212%17
SE23 354%328
SE24 055%423
SE24 937%215
SE25 420%112
SE25 532%216
SE25 650%332
SE26 432%215
SE26 5178%1286
SE26 66%03
SE27 021%112
SE27 9123%859
SE28 045%330
SE28 856%453
SE3 062%423
SE3 778%529
SE3 818%18
SE3 946%318
SE4 147%333
SE4 286%649
SE5 041%321
SE5 724%214
SE5 885%675
SE5 918%119
SE6 19%17
SE6 2132%9108
SE6 343%326
SE6 4206%13132
SE7 7306%20230
SE7 8119%864
SE8 341%320
SE8 4155%1069
SE8 556%428
SE9 1229%15131
SE9 278%546
SE9 318%111
SE9 478%545
SE9 5137%958
SE9 668%433
SW10 017%114
SW10 965%435
SW11 1588%38289
SW11 271%540
SW11 336%224
SW11 433%215
SW11 511%18
SW11 635%216
SW12 03%01
SW12 831%218
SW12 9271%17114
SW13 032%211
SW13 938%216
SW14 790%634
SW15 1166%1190
SW15 265%438
SW15 369%434
SW15 427%215
SW15 53%02
SW15 675%531
SW16 1212%14109
SW16 233%225
SW16 330%213
SW16 425%216
SW16 571%554
SW16 663%443
SW17 0114%7144
SW17 765%446
SW17 87%05
SW17 9178%11135
SW18 177%553
SW18 225%212
SW18 38%15
SW18 4325%21242
SW18 52%01
SW19 1177%11114
SW19 2154%10105
SW19 330%222
SW19 4219%14126
SW19 531%210
SW19 624%212
SW19 7121%849
SW19 8185%12149
SW1A 032%21
SW1A 15%02
SW1A 235%232
SW1E 5120%856
SW1E 640%322
SW1H 03%02
SW1P 1177%11141
SW1P 211%114
SW1P 44%03
SW1V 1402%26197
SW1V 225%28
SW1V 320%18
SW1W 07%05
SW1W 8273%18102
SW1W 924%216
SW1X 0112%718
SW1X 7443%29242
SW1X 828%28
SW1X 9233%1581
SW1Y 438%218
SW1Y 58%04
SW1Y 6187%1275
SW2 1116%845
SW2 232%215
SW2 317%110
SW2 4150%1064
SW2 559%432
SW20 0100%646
SW20 839%319
SW20 916%16
SW3 1111%765
SW3 258%424
SW3 3129%850
SW3 4290%19108
SW3 563%421
SW3 625%211
SW4 084%530
SW4 645%319
SW4 7208%1373
SW4 83%01
SW4 936%215
SW5 05%02
SW5 9217%1498
SW6 1243%16126
SW6 216%112
SW6 314%18
SW6 446%322
SW6 566%425
SW6 629%215
SW6 760%430
SW7 127%29
SW7 213%19
SW7 370%520
SW7 462%423
SW7 516%18
SW8 175%549
SW8 274%544
SW8 338%214
SW8 421%111
SW8 516%15
SW9 037%216
SW9 6108%743
SW9 757%430
SW9 8596%38224
SW9 952%328
W10 46%03
W10 564%457
W10 670%548
W11 1122%867
W11 2389%25165
W11 3206%1373
W11 476%548
W12 08%18
W12 7139%9236
W12 8710%46457
W12 962%439
W13 0140%972
W13 8127%848
W13 983%556
W14 09%16
W14 862%448
W14 925%219
W1B 2874%56239
W1B 3547%353
W1B 41992%129123
W1B 51193%77192
W1C 14749%306171
W1C 228%21
W1D 13486%225146
W1D 25740%37050
W1D 399%631
W1D 4127%823
W1D 5132%829
W1D 665%420
W1D 748%311
W1F 054%421
W1F 7335%22192
W1F 8102%750
W1F 9103%748
W1G 01419%92111
W1G 687%619
W1G 84%01
W1H 15%01
W1H 245%34
W1H 559%412
W1H 6168%1134
W1H 7128%842
W1J 0141%924
W1J 517%16
W1J 644%317
W1J 76%03
W1J 861%416
W1K 19%11
W1K 243%315
W1K 317%17
W1K 4151%1025
W1K 5507%33121
W1K 6194%1333
W1K 7526%3492
W1S 1196%13141
W1S 2210%1488
W1S 3591%3884
W1S 4187%1273
W1T 1166%11121
W1T 2202%1357
W1T 3205%1375
W1T 496%641
W1T 536%217
W1T 746%39
W1U 1967%62298
W1U 2199%1339
W1U 36%02
W1U 4593%3883
W1U 525%25
W1U 673%514
W1U 718%14
W1U 87%02
W1W 55%01
W1W 64%02
W1W 712%15
W1W 8268%1797
W2 1112%7148
W2 283%539
W2 339%317
W2 4112%755
W2 528%216
W2 638%236
W3 023%112
W3 658%449
W3 733%227
W3 89%17
W3 9166%1169
W4 1151%1077
W4 223%115
W4 34%02
W4 488%634
W4 5103%784
W5 162%434
W5 2126%893
W5 332%219
W5 455%434
W5 5381%25200
W6 097%699
W6 791%670
W6 824%220
W6 9245%16233
W7 130%215
W7 212%15
W7 333%218
W8 4211%1485
W8 596%667
W8 6130%858
W8 765%428
W9 151%327
W9 24%02
W9 343%330
WC1A 1151%1023
WC1A 29%12
WC1B 372%543
WC1B 549%36
WC1E 6112%754
WC1E 78%13
WC1H 811%13
WC1H 910%16
WC1N 1105%738
WC1N 323%118
WC1R 44%02
WC1R 551%314
WC1V 6156%1032
WC1V 731%25
WC1X 069%419
WC1X 878%528
WC1X 99%13
WC2A 14%01
WC2A 38%14
WC2B 58%18
WC2B 6426%2720
WC2E 724%220
WC2E 81255%81187
WC2E 9504%33217
WC2H 071%510
WC2H 773%518
WC2H 8422%27132
WC2H 9270%17166
WC2N 435%213
WC2N 522%117
WC2N 6240%1587
WC2R 0317%2047
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 number of "shoplifting crime" is 30.4k, and this number has decreased by 6.8% when compared year-over-year in the period of December 2017 - November 2018. In the graph below, postcode area are compared by crime rate and crime rate percentage change. Crime rate percentage change compares the postcode area crime rate between December 2017 - November 2018 to the postcode area crime rate in the previous 12 months. The size of the circle reflects the number of total crimes committed. The bigger the circle, the higher the number of crimes committed in the postcode area.

-6.8%

annual change

5.4

annual crime rate per 1k workday people

30.4k

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

Associated reports:

Inner London crime stats

Inner London home energy certificates

Inner London population statistics

Inner London energy costs

Inner London salary and unemployment

Inner London real estate market

Inner London home features

Homeimage/svg+xmlOpencliparteco green house icon2012-05-29T15:40:56https://openclipart.org/detail/170282/eco-green-house-icon-by-cybergedeondominiquechappardecologygreenhomehouseicon