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Inner London shoplifting crime statistics

Annual crime rate in Inner London postcode area is 5.3, i.e. 5.3 crimes committed per annum per 1000 workday people. Compared to the national crime rate, Inner London's crime rate is at 82%. Shoplifting crime makes up 4.1% of all crimes committed in the postcode area. The total number of "shoplifting crime" is 29.9k, and this number has decreased by 7.4% when compared year-over-year in the period of February 2018 - January 2019.

5.3

annual crime rate per 1k workday people

82%

of national crime rate

4.1%

of all crimes

29.9k

crimes committed

-7.4%

annual change

Inner London shoplifting crime rate comparison map

February 2018 - January 2019

Inner London shoplifting crime rate comparison map
Postcode sectorCrime rate vs. ENG & WLS rateCrime rate per 1000 workday peopleTotal number of crimes
E1 05%03
E1 198%655
E1 273%543
E1 469%478
E1 547%331
E1 669%496
E1 713%118
E1 820%125
E10 590%676
E10 612%112
E10 767%455
E11 1118%873
E11 259%434
E11 367%448
E11 444%333
E12 518%115
E12 611%114
E13 08%17
E13 845%340
E13 9228%15210
E14 010%17
E14 237%24
E14 324%219
E14 430%236
E14 545%3192
E14 698%661
E14 740%329
E14 810%111
E14 911%119
E15 1519%33486
E15 2851%55609
E15 34%03
E15 4184%12157
E16 170%445
E16 238%227
E16 343%331
E16 412%19
E17 356%442
E17 426%225
E17 571%563
E17 628%225
E17 7295%19183
E17 831%224
E17 953%335
E18 195%636
E18 219%110
E1W 112%14
E1W 250%317
E1W 34%01
E2 0109%766
E2 6100%644
E2 778%539
E2 812%16
E2 912%17
E3 240%329
E3 368%447
E3 448%337
E3 586%654
E4 68%06
E4 758%441
E4 8108%783
E4 923%120
E5 018%114
E5 875%555
E5 958%448
E6 1169%11160
E6 261%460
E6 334%235
E6 526%220
E6 6138%9131
E7 038%226
E7 862%475
E7 913%112
E8 1267%17164
E8 2327%21176
E8 381%546
E8 425%213
E9 512%19
E9 648%339
E9 76%04
EC1A 24%01
EC1A 438%28
EC1A 763%445
EC1A 99%12
EC1M 331%22
EC1M 55%02
EC1N 644%32
EC1N 72%01
EC1N 86%03
EC1R 435%29
EC1R 545%37
EC1V 1171%1112
EC1V 34%01
EC1V 456%414
EC1V 78%02
EC1V 86%01
EC1V 927%212
EC1Y 06%01
EC1Y 126%22
EC1Y 48%11
EC1Y 820%117
EC2A 17%01
EC2A 332%218
EC2A 428%227
EC2M 133%210
EC2M 2106%716
EC2M 353%38
EC2M 4143%9119
EC2M 520%13
EC2M 659%49
EC2M 7170%11103
EC2N 259%49
EC2N 47%02
EC2R 646%37
EC2V 59%12
EC2V 6203%1376
EC2V 856%412
EC2Y 81%01
EC2Y 928%27
EC3A 714%13
EC3M 4109%715
EC3M 75%03
EC3N 117%18
EC3N 211%17
EC3R 52%01
EC3R 762%417
EC3R 89%16
EC3V 0259%17114
EC3V 133%25
EC3V 3112%734
EC3V 920%13
EC4A 148%332
EC4M 736%212
EC4M 9255%1647
EC4N 1217%1414
EC4N 5511%3333
EC4N 7152%1023
EC4R 04%04
EC4R 956%417
EC4V 445%35
EC4V 648%312
EC4Y 199%617
EC4Y 870%518
N1 0460%30347
N1 1258%17127
N1 285%557
N1 325%29
N1 415%16
N1 523%111
N1 630%220
N1 725%218
N1 8136%979
N1 962%469
N10 137%216
N10 29%14
N10 393%645
N11 1171%11116
N11 296%649
N11 376%533
N12 095%645
N12 74%01
N12 8112%751
N12 983%535
N13 435%221
N13 553%332
N13 631%210
N14 415%18
N14 5218%14107
N14 68%03
N15 358%430
N15 4245%16165
N15 584%546
N15 611%18
N16 019%18
N16 547%340
N16 65%04
N16 7124%864
N16 869%440
N16 935%210
N17 037%230
N17 610%110
N17 741%321
N17 875%538
N17 9195%13168
N18 19%19
N18 2110%7115
N18 32096%13471
N19 313%18
N19 410%15
N19 592%667
N1C 45056%324406
N2 839%312
N2 95%02
N20 04%02
N20 962%418
N21 122%19
N21 226%29
N21 342%316
N22 522%114
N22 6402%26336
N22 76%03
N22 827%213
N3 154%328
N3 250%330
N3 38%13
N4 1128%885
N4 250%359
N4 377%544
N4 429%28
N5 136%221
N5 27%04
N6 512%16
N6 611%12
N7 015%19
N7 6534%34213
N7 748%322
N7 879%549
N7 950%334
N8 085%545
N8 729%213
N8 8157%1071
N8 933%215
N9 0165%11127
N9 721%111
N9 88%15
N9 96%05
NW1 086%671
NW1 14%03
NW1 275%588
NW1 345%332
NW1 417%17
NW1 535%211
NW1 675%551
NW1 7177%11118
NW1 8177%11123
NW1 9129%878
NW10 0179%11127
NW10 132%216
NW10 2122%865
NW10 313%16
NW10 4213%14119
NW10 518%111
NW10 610%15
NW10 723%129
NW10 820%115
NW10 914%18
NW11 018%16
NW11 622%17
NW11 764%423
NW11 8129%845
NW11 960%429
NW2 1120%866
NW2 211%14
NW2 3125%850
NW2 49%13
NW2 52%01
NW2 6127%886
NW2 79%16
NW3 1241%1568
NW3 223%124
NW3 329%213
NW3 4100%637
NW3 564%427
NW3 6113%750
NW3 76%02
NW4 122%18
NW4 233%216
NW4 3602%39426
NW4 48%04
NW5 15%03
NW5 2138%978
NW5 341%314
NW5 422%110
NW6 133%216
NW6 227%28
NW6 344%313
NW6 4379%24150
NW6 523%214
NW6 662%429
NW6 784%548
NW7 149%321
NW7 226%211
NW7 384%530
NW8 03%01
NW8 6108%729
NW8 743%315
NW8 87%05
NW8 97%03
NW9 092%659
NW9 529%230
NW9 670%436
NW9 717%16
NW9 8111%758
NW9 979%543
SE1 08%114
SE1 133%234
SE1 276%5152
SE1 328%223
SE1 457%440
SE1 5157%1096
SE1 6209%13105
SE1 719%138
SE1 8176%11168
SE1 928%245
SE10 064%440
SE10 892%641
SE10 9261%17155
SE11 418%19
SE11 531%219
SE11 615%16
SE12 041%319
SE12 846%320
SE13 577%549
SE13 6161%10142
SE13 7215%14170
SE14 542%330
SE14 643%325
SE15 1116%753
SE15 254%332
SE15 36%04
SE15 4114%745
SE15 5389%25225
SE15 643%326
SE16 220%112
SE16 341%324
SE16 431%210
SE16 7462%30150
SE17 1173%1166
SE17 2136%996
SE17 346%327
SE18 170%452
SE18 252%324
SE18 319%111
SE18 420%114
SE18 57%04
SE18 6420%27362
SE18 72%01
SE19 182%533
SE19 234%212
SE19 319%110
SE2 016%19
SE2 9107%778
SE20 7139%978
SE20 893%651
SE21 77%02
SE21 830%216
SE22 07%03
SE22 8142%978
SE22 994%632
SE23 150%323
SE23 29%15
SE23 349%325
SE24 043%318
SE24 930%212
SE25 417%110
SE25 529%214
SE25 649%331
SE26 428%213
SE26 5198%1395
SE26 64%02
SE27 021%112
SE27 9130%862
SE28 044%329
SE28 849%346
SE3 057%421
SE3 757%421
SE3 818%18
SE3 946%318
SE4 138%226
SE4 283%547
SE5 041%321
SE5 725%215
SE5 894%682
SE5 919%121
SE6 19%17
SE6 2144%9117
SE6 349%330
SE6 4210%13134
SE7 7308%20230
SE7 8112%760
SE8 350%324
SE8 4138%961
SE8 557%428
SE9 1206%13117
SE9 280%547
SE9 319%112
SE9 4106%761
SE9 5131%855
SE9 667%432
SW10 017%114
SW10 955%329
SW11 1558%36273
SW11 266%437
SW11 334%223
SW11 433%215
SW11 512%18
SW11 641%319
SW12 03%01
SW12 825%214
SW12 9273%17114
SW13 038%213
SW13 958%424
SW14 790%634
SW14 82%01
SW15 1169%1191
SW15 270%541
SW15 373%536
SW15 423%113
SW15 53%02
SW15 668%428
SW16 1192%1298
SW16 236%227
SW16 321%19
SW16 425%216
SW16 574%556
SW16 669%447
SW17 0114%7144
SW17 774%552
SW17 88%16
SW17 9175%11132
SW18 168%446
SW18 225%212
SW18 310%16
SW18 4291%19216
SW18 53%02
SW19 1174%11111
SW19 2152%10103
SW19 331%223
SW19 4165%1194
SW19 534%211
SW19 629%214
SW19 7122%849
SW19 8187%12150
SW1A 098%63
SW1A 15%02
SW1A 232%229
SW1E 5140%965
SW1E 639%221
SW1H 03%02
SW1P 1220%14174
SW1P 216%119
SW1P 44%03
SW1V 1373%24182
SW1V 225%28
SW1V 318%17
SW1W 07%05
SW1W 8250%1693
SW1W 917%111
SW1X 0112%718
SW1X 7369%24200
SW1X 828%28
SW1X 9232%1580
SW1Y 438%218
SW1Y 58%04
SW1Y 6181%1272
SW2 1117%845
SW2 242%320
SW2 317%110
SW2 4172%1173
SW2 566%436
SW20 098%645
SW20 841%320
SW20 96%02
SW3 1108%763
SW3 268%428
SW3 3151%1058
SW3 4316%20117
SW3 557%419
SW3 634%215
SW4 099%635
SW4 650%321
SW4 7209%1373
SW4 87%02
SW4 929%212
SW5 05%02
SW5 9180%1281
SW6 1234%15121
SW6 219%114
SW6 318%110
SW6 459%428
SW6 570%426
SW6 633%217
SW6 768%434
SW7 137%212
SW7 213%19
SW7 346%313
SW7 449%318
SW7 518%19
SW8 182%553
SW8 283%549
SW8 341%315
SW8 431%216
SW8 513%14
SW9 037%216
SW9 686%634
SW9 748%325
SW9 8592%38221
SW9 958%431
W10 46%03
W10 562%455
W10 666%445
W11 1117%764
W11 2391%25165
W11 3173%1161
W11 486%654
W12 08%18
W12 7164%11277
W12 8636%41407
W12 966%441
W13 0135%969
W13 8126%847
W13 988%659
W14 08%15
W14 863%449
W14 924%218
W1B 2842%54229
W1B 31100%716
W1B 41825%117112
W1B 51213%78194
W1C 14303%276154
W1C 256%42
W1D 12931%188122
W1D 25312%34146
W1D 393%629
W1D 4139%925
W1D 5146%932
W1D 672%522
W1D 739%39
W1F 068%426
W1F 7318%20181
W1F 894%646
W1F 9106%749
W1G 01273%8299
W1G 697%621
W1G 84%01
W1H 15%01
W1H 268%46
W1H 550%310
W1H 6164%1133
W1H 7132%843
W1J 0141%924
W1J 514%15
W1J 639%315
W1J 866%417
W1K 19%11
W1K 264%422
W1K 317%17
W1K 4158%1026
W1K 5455%29108
W1K 6213%1436
W1K 7494%3286
W1S 1189%12135
W1S 2216%1490
W1S 3517%3373
W1S 4185%1272
W1T 1176%11128
W1T 2192%1254
W1T 3231%1584
W1T 488%637
W1T 534%216
W1T 746%39
W1U 11080%69331
W1U 2190%1237
W1U 313%14
W1U 4604%3984
W1U 515%13
W1U 668%413
W1U 728%26
W1U 87%02
W1W 55%01
W1W 617%18
W1W 712%15
W1W 8245%1688
W2 1108%7142
W2 290%642
W2 344%319
W2 4102%750
W2 537%221
W2 634%232
W3 023%112
W3 649%341
W3 734%228
W3 813%110
W3 9157%1065
W4 1165%1184
W4 225%216
W4 36%03
W4 478%530
W4 5111%790
W5 165%435
W5 2108%779
W5 330%218
W5 452%332
W5 5341%22178
W6 088%689
W6 780%561
W6 821%117
W6 9227%15214
W7 126%213
W7 212%15
W7 339%321
W8 4199%1380
W8 5105%773
W8 6142%963
W8 794%640
W9 155%429
W9 24%02
W9 346%332
WC1A 1152%1023
WC1A 29%12
WC1B 383%549
WC1B 550%36
WC1E 6107%751
WC1E 714%15
WC1H 88%02
WC1H 912%17
WC1N 1111%740
WC1N 325%219
WC1R 49%14
WC1R 551%314
WC1V 6137%928
WC1V 744%37
WC1X 036%210
WC1X 878%528
WC1X 910%13
WC2A 14%01
WC2A 310%15
WC2B 59%19
WC2B 6407%2619
WC2E 728%223
WC2E 81289%83191
WC2E 9493%32211
WC2H 064%49
WC2H 753%313
WC2H 8412%26128
WC2H 9258%17158
WC2N 424%29
WC2N 520%116
WC2N 6216%1478
WC2R 0299%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 number of "shoplifting crime" is 29.9k, and this number has decreased by 7.4% when compared year-over-year in the period of February 2018 - January 2019. 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 February 2018 - January 2019 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.

-7.4%

annual change

5.3

annual crime rate per 1k workday people

29.9k

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 committed in a given calendar month(1 = January … 12 = December) in the previous five years.

Inner London shoplifting crime seasonality

Associated reports:

Inner London crime stats

Inner London home features

Inner London salary and unemployment

Inner London population statistics

Inner London real estate market

Inner London home energy efficiency

Inner London energy costs

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