◉ plumplot 

Inner London theft from the person crime statistics

Annual crime rate in Inner London postcode area is 7.4, i.e. 7.4 crimes committed per annum per 1000 workday people. Compared to the national crime rate, Inner London's crime rate is at 422%. Theft from the person crime makes up 5.7% of all crimes committed in the postcode area. The total number of "theft from the person crime" is 41.8k, and this number has decreased by 9.5% when compared year-over-year in the period of February 2018 - January 2019.

7.4

annual crime rate per 1k workday people

422%

of national crime rate

5.7%

of all crimes

41.8k

crimes committed

-9.5%

annual change

Inner London theft from the person crime rate comparison map

February 2018 - January 2019

Inner London theft from the person crime rate comparison map
Postcode sectorCrime rate vs. ENG & WLS rateCrime rate per 1000 workday peopleTotal number of crimes
E1 0190%331
E1 1450%869
E1 2273%544
E1 389%29
E1 4257%579
E1 5374%767
E1 6841%15317
E1 7204%477
E1 873%125
E10 5255%459
E10 6150%342
E10 7215%448
E11 1179%330
E11 2248%439
E11 3168%333
E11 4312%564
E12 5147%334
E12 6184%365
E13 0193%347
E13 8202%449
E13 9705%12177
E14 0169%331
E14 2203%46
E14 399%221
E14 4157%351
E14 549%157
E14 6266%545
E14 7255%451
E14 895%230
E14 960%128
E15 12129%37543
E15 21692%30330
E15 3307%561
E15 4375%787
E16 1628%11110
E16 292%218
E16 3141%228
E16 4115%224
E17 3170%335
E17 4278%573
E17 574%118
E17 6276%568
E17 71791%31303
E17 8115%224
E17 9631%11114
E18 1135%214
E18 270%110
E1W 1596%1056
E1W 2412%738
E1W 3240%417
E2 0304%550
E2 6627%1175
E2 72413%42330
E2 8787%14105
E2 9701%12109
E3 2333%665
E3 3283%553
E3 4528%9110
E3 5298%551
E4 647%110
E4 752%110
E4 886%118
E4 966%116
E5 0238%450
E5 8244%449
E5 9219%449
E6 1652%11168
E6 2519%9140
E6 3102%229
E6 5222%446
E6 6155%340
E7 065%112
E7 8281%592
E7 9142%236
E8 1883%15148
E8 21110%19163
E8 3829%14129
E8 41103%19159
E9 5218%445
E9 6269%559
E9 7429%774
EC1A 242%13
EC1A 4472%827
EC1A 766%113
EC1A 965%14
EC1M 31023%1818
EC1M 4125%25
EC1M 5465%847
EC1M 6681%1270
EC1M 71417%2520
EC1N 6324%64
EC1N 7104%212
EC1N 8131%219
EC1R 0184%319
EC1R 1297%513
EC1R 3318%616
EC1R 4806%1456
EC1R 5762%1332
EC1V 0408%733
EC1V 12815%4954
EC1V 2233%412
EC1V 3641%1139
EC1V 4252%417
EC1V 7570%1040
EC1V 8779%1433
EC1V 92088%37256
EC1Y 01269%2254
EC1Y 12187%3846
EC1Y 2159%32
EC1Y 4440%815
EC1Y 8118%227
EC2A 1410%715
EC2A 2592%1020
EC2A 31264%22196
EC2A 4489%9129
EC2M 1992%1782
EC2M 2605%1125
EC2M 3847%1535
EC2M 483%119
EC2M 6363%615
EC2M 7526%987
EC2N 248%12
EC2R 6194%38
EC2R 712%01
EC2V 568%14
EC2V 6118%212
EC2V 718%02
EC2Y 56%01
EC2Y 842%113
EC2Y 9440%830
EC3A 3107%24
EC3A 717%01
EC3M 713%02
EC3N 1221%428
EC3N 272%112
EC3N 41561%27162
EC3R 5169%319
EC3R 7107%28
EC3R 821%04
EC3V 0158%319
EC3V 1121%25
EC3V 31137%2094
EC3V 997%24
EC4A 1170%331
EC4A 331%16
EC4A 4187%33
EC4M 7299%527
EC4M 9338%617
EC4N 157%11
EC4N 5398%77
EC4N 7968%1740
EC4N 824%02
EC4R 028%08
EC4R 157%11
EC4R 26%01
EC4R 9230%419
EC4V 285%13
EC4V 334%16
EC4V 4764%1323
EC4V 556%111
EC4V 615%01
EC4Y 0145%37
EC4Y 185%14
EC4Y 8143%310
N1 0734%13151
N1 1537%972
N1 2550%10100
N1 3391%739
N1 4476%852
N1 5658%1286
N1 6982%17179
N1 7277%555
N1 81009%18160
N1 9431%8131
N10 1189%322
N10 2137%216
N10 3529%970
N11 1124%223
N11 2166%323
N11 376%19
N12 0209%427
N12 7124%29
N12 8233%429
N12 9210%424
N13 4164%327
N13 5103%217
N13 646%14
N14 4107%216
N14 5157%321
N14 6157%317
N14 754%14
N15 3533%975
N15 4501%992
N15 52088%37311
N15 6225%443
N16 0152%317
N16 5218%451
N16 6101%223
N16 7435%861
N16 8424%767
N16 9618%1148
N17 0110%224
N17 6131%237
N17 7214%430
N17 8313%543
N17 9460%8108
N18 1106%228
N18 2215%461
N18 31083%1910
N19 3368%662
N19 4397%752
N19 5633%11126
N1C 47857%137172
N2 065%18
N2 8192%316
N2 955%16
N20 040%16
N20 817%01
N20 9279%522
N21 136%14
N21 211%01
N21 377%18
N22 5465%882
N22 61800%31410
N22 7686%1299
N22 8221%429
N3 1105%215
N3 280%113
N3 329%13
N4 1702%12127
N4 2959%17306
N4 31042%18163
N4 4522%939
N5 1669%12106
N5 2310%546
N6 438%13
N6 5198%326
N6 642%12
N7 0360%659
N7 62117%37230
N7 7850%15106
N7 8613%11104
N7 9469%887
N8 0581%1084
N8 7179%322
N8 8366%645
N8 9175%322
N9 0472%899
N9 7176%325
N9 852%19
N9 9152%336
NW1 01120%20252
NW1 1288%561
NW1 21128%20359
NW1 3584%10114
NW1 4820%1490
NW1 5957%1781
NW1 6386%772
NW1 7807%14147
NW1 82374%42449
NW1 9467%877
NW10 0108%221
NW10 166%19
NW10 2220%432
NW10 3102%213
NW10 4408%762
NW10 5191%331
NW10 623%03
NW10 773%125
NW10 8119%224
NW10 965%110
NW11 068%16
NW11 691%28
NW11 7225%422
NW11 8304%529
NW11 976%110
NW2 1140%221
NW2 2140%214
NW2 3484%853
NW2 4193%318
NW2 575%19
NW2 6135%225
NW2 780%115
NW3 1208%416
NW3 2371%6104
NW3 3405%750
NW3 4464%847
NW3 5319%637
NW3 6685%1283
NW3 723%02
NW4 150%15
NW4 292%212
NW4 3741%13143
NW4 478%111
NW5 1314%555
NW5 2571%1088
NW5 3388%736
NW5 4215%427
NW6 1406%753
NW6 2660%1254
NW6 3615%1150
NW6 41444%25156
NW6 5349%657
NW6 6227%429
NW6 7599%1093
NW7 151%16
NW7 270%18
NW7 3164%316
NW7 436%13
NW8 0417%743
NW8 6886%1565
NW8 7297%528
NW8 8271%552
NW8 9253%428
NW9 075%113
NW9 5127%236
NW9 671%110
NW9 763%16
NW9 870%110
NW9 9228%434
SE1 0139%267
SE1 1746%13210
SE1 2517%9282
SE1 3397%789
SE1 4327%663
SE1 5311%552
SE1 61827%32250
SE1 7505%9270
SE1 81282%22333
SE1 9689%12298
SE10 0751%13129
SE10 8205%425
SE10 9364%659
SE11 4560%1075
SE11 5511%986
SE11 6121%213
SE12 080%110
SE12 8118%214
SE12 960%17
SE13 5197%334
SE13 6283%568
SE13 7418%790
SE14 5143%228
SE14 6374%759
SE15 1169%321
SE15 2150%324
SE15 3185%332
SE15 4799%1486
SE15 5819%14129
SE15 6115%219
SE16 2150%324
SE16 3169%327
SE16 4884%1579
SE16 5165%310
SE16 6212%410
SE16 71345%24119
SE17 1623%1165
SE17 2375%772
SE17 3207%433
SE18 159%112
SE18 224%03
SE18 369%111
SE18 431%16
SE18 573%111
SE18 6459%8108
SE18 750%19
SE19 1109%212
SE19 2158%315
SE19 370%110
SE2 065%110
SE2 995%219
SE20 765%110
SE20 8101%215
SE21 741%13
SE21 841%16
SE22 089%210
SE22 8147%322
SE22 9119%211
SE23 148%16
SE23 252%18
SE23 371%110
SE24 079%19
SE24 9100%211
SE25 437%16
SE25 575%110
SE25 6139%224
SE26 463%18
SE26 592%212
SE26 637%15
SE27 0115%218
SE27 9131%217
SE28 044%18
SE28 843%111
SE3 099%210
SE3 789%29
SE3 833%14
SE3 956%16
SE4 153%110
SE4 297%215
SE5 0216%430
SE5 7317%651
SE5 8290%569
SE5 988%226
SE6 133%17
SE6 2100%222
SE6 330%15
SE6 4247%443
SE7 793%219
SE7 848%17
SE8 3121%216
SE8 4364%644
SE8 5170%323
SE9 1174%327
SE9 244%17
SE9 324%04
SE9 470%111
SE9 5114%213
SE9 699%213
SW10 081%118
SW10 9186%327
SW11 1690%1292
SW11 2557%1085
SW11 349%19
SW11 4265%533
SW11 5121%223
SW11 640%15
SW12 081%17
SW12 8110%217
SW12 9737%1384
SW13 065%16
SW13 953%16
SW14 788%29
SW14 845%16
SW15 1580%1085
SW15 2113%218
SW15 389%212
SW15 472%111
SW15 582%113
SW15 680%19
SW16 1273%538
SW16 279%116
SW16 369%18
SW16 4137%224
SW16 5159%333
SW16 6124%223
SW17 0250%486
SW17 7147%328
SW17 894%219
SW17 9399%782
SW18 175%114
SW18 284%111
SW18 331%15
SW18 4262%553
SW18 524%04
SW19 1212%437
SW19 2119%222
SW19 345%19
SW19 419%03
SW19 568%16
SW19 683%111
SW19 7182%320
SW19 8197%343
SW1A 06925%12158
SW1A 1183%322
SW1A 2859%15212
SW1E 51505%26190
SW1E 61420%25210
SW1H 0154%326
SW1H 928%07
SW1P 1625%11135
SW1P 261%120
SW1P 3313%599
SW1P 4106%223
SW1V 11429%25190
SW1V 2511%945
SW1V 3157%317
SW1V 490%26
SW1W 0136%225
SW1W 8632%1164
SW1W 9720%13128
SW1X 0229%410
SW1X 7757%13112
SW1X 8104%28
SW1X 9128%212
SW1Y 4319%641
SW1Y 591%213
SW1Y 6985%17107
SW2 11384%24145
SW2 293%212
SW2 383%113
SW2 4233%427
SW2 5210%431
SW20 064%18
SW20 830%14
SW20 910%01
SW3 11044%18166
SW3 2107%212
SW3 3152%316
SW3 4485%849
SW3 5155%314
SW3 6185%322
SW4 0363%635
SW4 6779%1489
SW4 71955%34186
SW4 848%14
SW4 9361%641
SW5 0242%427
SW5 9727%1389
SW6 1391%755
SW6 2156%331
SW6 373%111
SW6 4132%217
SW6 5324%633
SW6 650%17
SW6 7176%324
SW7 1438%839
SW7 2503%993
SW7 3412%732
SW7 4540%954
SW7 5252%435
SW8 1753%13133
SW8 2156%325
SW8 3100%210
SW8 485%112
SW8 5117%210
SW9 0237%428
SW9 6195%321
SW9 71226%21175
SW9 83173%55323
SW9 9388%757
W10 491%213
W10 5428%7104
W10 6182%334
W11 11038%18155
W11 21600%28184
W11 32174%38209
W11 4176%330
W12 061%117
W12 7335%6154
W12 8928%16162
W12 953%19
W13 0215%430
W13 839%14
W13 9115%221
W14 057%110
W14 8156%333
W14 9102%221
W1B 1884%1528
W1B 21281%2295
W1B 321531%37632
W1B 410040%176168
W1B 57590%133331
W1C 125111%439245
W1C 29669%16994
W1D 126085%456296
W1D 2132178%2311312
W1D 35131%90434
W1D 46804%119333
W1D 54575%80273
W1D 66254%109524
W1D 73264%57204
W1F 01655%29173
W1F 72689%47417
W1F 8646%1186
W1F 9720%1391
W1G 04530%7996
W1G 6101%26
W1G 794%24
W1G 842%13
W1G 972%115
W1H 183%15
W1H 2373%79
W1H 4119%25
W1H 5420%723
W1H 61387%2476
W1H 7651%1158
W1J 01318%2361
W1J 5127%212
W1J 6144%315
W1J 7372%647
W1J 8255%418
W1K 11020%1831
W1K 2224%421
W1K 353%16
W1K 467%13
W1K 51917%34124
W1K 61627%2875
W1K 74513%79214
W1S 11683%29328
W1S 2282%532
W1S 3857%1533
W1S 4416%744
W1T 11563%27309
W1T 2888%1668
W1T 31717%30170
W1T 4304%535
W1T 5537%968
W1T 6355%614
W1T 71021%1854
W1U 13125%55261
W1U 2602%1132
W1U 3166%314
W1U 4316%612
W1U 5165%39
W1U 6478%825
W1U 7170%310
W1U 8144%311
W1W 5625%1137
W1W 6296%539
W1W 7165%318
W1W 84036%71396
W2 1798%14286
W2 21649%29209
W2 31274%22149
W2 41130%20151
W2 5220%434
W2 6228%459
W3 0106%215
W3 6180%341
W3 794%221
W3 8162%334
W3 9249%428
W4 1159%322
W4 223%04
W4 329%14
W4 4153%316
W4 595%221
W5 195%214
W5 2385%777
W5 3135%222
W5 4223%437
W5 5829%14118
W6 0229%463
W6 7115%224
W6 8135%230
W6 9458%8118
W7 151%17
W7 253%16
W7 389%213
W8 4393%743
W8 5401%776
W8 6231%428
W8 7190%322
W9 1235%434
W9 2201%430
W9 3223%442
WC1A 12939%51121
WC1A 2971%1756
WC1B 31441%25232
WC1B 4616%1118
WC1B 52787%4992
WC1E 6414%754
WC1E 71048%18104
WC1H 0826%1493
WC1H 8996%1771
WC1H 9639%11104
WC1N 11533%27150
WC1N 2494%938
WC1N 3171%336
WC1R 4234%430
WC1R 5201%415
WC1V 6701%1239
WC1V 7992%1743
WC1X 0626%1147
WC1X 8903%1688
WC1X 9396%734
WC2A 196%27
WC2A 2592%107
WC2A 3191%325
WC2B 4521%940
WC2B 5290%580
WC2B 614062%246179
WC2E 7214%448
WC2E 83342%58135
WC2E 92135%37249
WC2H 09091%159347
WC2H 710548%184704
WC2H 81310%23111
WC2H 9623%11104
WC2N 4489%949
WC2N 5398%785
WC2N 62361%41232
WC2R 01396%2456
WC2R 1141%210
WC2R 23384%5940
WC2R 334%12

Inner London theft from the person crime rate rank

Inner London theft from the person crime rate rank

Inner London theft from the person crime rate compared to other areas

The total number of "theft from the person crime" is 41.8k, and this number has decreased by 9.5% 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.

-9.5%

annual change

7.4

annual crime rate per 1k workday people

41.8k

crimes committed
Inner London theft from the person crime rate compared to other areasCrime rate percentage change
Crime rate per 1000 workday people

Inner London theft from the person crime rate

Annual crime rate per 1000 workday people

Inner London theft from the person crime rate

Inner London theft from the person crime seasonality

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

Inner London theft from the person 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 certificates

Inner London energy costs

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