◉ plumplot 

Inner London theft from the person crime statistics

Annual crime rate is 7.3, i.e. 7.3 crimes committed per annum per 1000 workday people. The rate is 422% of a national crime rate. Theft from the person crime makes 5.7% of all crimes committed in the postcode area. The total volume of theft from the person crime is 41.6k and has decreased by 6.3% when compared year-over-year in the period of November 2017 - October 2018.

7.3

annual crime rate per 1k workday people

422%

of national crime rate

5.7%

of all crimes

41.6k

crimes committed

-6.3%

annual change

Inner London theft from the person crime rate comparison map

November 2017 - October 2018

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 0198%332
E1 1440%867
E1 2281%545
E1 3100%210
E1 4239%473
E1 5415%774
E1 6763%13286
E1 7162%361
E1 873%125
E10 5235%454
E10 6140%239
E10 7220%449
E11 1174%329
E11 2268%542
E11 3149%329
E11 4319%665
E12 5144%233
E12 6197%369
E13 0181%344
E13 8208%450
E13 9621%11155
E14 0159%329
E14 2238%47
E14 3104%222
E14 4111%236
E14 543%150
E14 6250%442
E14 7277%555
E14 8105%233
E14 960%128
E15 12557%44649
E15 21237%22240
E15 3288%557
E15 4381%788
E16 1551%1096
E16 293%218
E16 3127%225
E16 4116%224
E17 3151%331
E17 4203%453
E17 558%114
E17 6261%564
E17 71817%32306
E17 8106%222
E17 9328%659
E18 1155%316
E18 291%213
E1W 1449%842
E1W 2382%735
E1W 3298%521
E2 0336%655
E2 6739%1388
E2 72536%44345
E2 8685%1291
E2 9640%1199
E3 2309%560
E3 3284%553
E3 4492%9102
E3 5305%552
E4 661%113
E4 768%113
E4 8110%223
E4 979%119
E5 0235%449
E5 8235%447
E5 9238%453
E6 1577%10148
E6 2495%9133
E6 3124%235
E6 5199%341
E6 6121%231
E7 087%216
E7 8286%593
E7 9143%236
E8 1845%15141
E8 21088%19159
E8 3678%12105
E8 4955%17137
E9 5215%444
E9 6275%560
E9 7407%770
EC1A 242%13
EC1A 4720%1341
EC1A 777%115
EC1A 998%26
EC1M 32057%3636
EC1M 4125%25
EC1M 5854%1586
EC1M 6772%1379
EC1M 71496%2621
EC1N 6814%1410
EC1N 7140%216
EC1N 8153%322
EC1R 0331%634
EC1R 1505%922
EC1R 3419%721
EC1R 41287%2289
EC1R 51052%1844
EC1V 0596%1048
EC1V 13929%6875
EC1V 2371%619
EC1V 31124%2068
EC1V 4535%936
EC1V 7975%1768
EC1V 81020%1843
EC1V 92123%37259
EC1Y 01465%2562
EC1Y 12437%4251
EC1Y 280%11
EC1Y 41326%2345
EC1Y 8128%229
EC2A 1494%918
EC2A 21070%1936
EC2A 31076%19166
EC2A 4571%10150
EC2M 11009%1883
EC2M 2511%921
EC2M 3949%1739
EC2M 475%117
EC2M 549%12
EC2M 6413%717
EC2M 7541%989
EC2N 273%13
EC2R 6146%36
EC2R 712%01
EC2V 585%15
EC2V 6108%211
EC2V 727%03
EC2Y 56%01
EC2Y 8120%237
EC2Y 9574%1039
EC3A 3107%24
EC3A 734%12
EC3M 76%01
EC3N 1206%426
EC3N 272%112
EC3N 41191%21123
EC3R 5170%319
EC3R 826%05
EC3V 0151%318
EC3V 1219%49
EC3V 31131%2093
EC3V 9146%36
EC4A 1176%332
EC4A 363%112
EC4A 4375%76
EC4M 7323%629
EC4M 9300%515
EC4N 157%11
EC4N 5343%66
EC4N 7511%921
EC4N 824%02
EC4R 017%05
EC4R 157%11
EC4R 213%02
EC4R 9207%417
EC4V 2114%24
EC4V 334%16
EC4V 4567%1017
EC4V 556%111
EC4V 615%01
EC4Y 0167%38
EC4Y 1129%26
EC4Y 8159%311
N1 0728%13149
N1 1562%1075
N1 2685%12124
N1 3464%846
N1 4561%1061
N1 5792%14103
N1 6844%15153
N1 7334%666
N1 81026%18162
N1 9522%9158
N10 1164%319
N10 2112%213
N10 3440%858
N11 1125%223
N11 2152%321
N11 376%19
N12 0187%324
N12 769%15
N12 8250%431
N12 9237%427
N13 4147%324
N13 591%215
N13 680%17
N14 487%213
N14 5173%323
N14 6167%318
N14 754%14
N15 3628%1188
N15 4531%997
N15 52125%37315
N15 6237%445
N16 0188%321
N16 5223%452
N16 688%220
N16 7480%867
N16 8483%876
N16 9919%1671
N17 0128%228
N17 6128%236
N17 7251%435
N17 8403%755
N17 9446%8104
N18 1102%227
N18 2220%462
N18 31742%3016
N19 3513%986
N19 4521%968
N19 5989%17196
N1C 49089%158198
N2 065%18
N2 8265%522
N2 955%16
N20 047%17
N20 817%01
N20 9216%417
N21 118%02
N21 221%02
N21 358%16
N22 5628%11110
N22 61725%30391
N22 7599%1086
N22 8199%326
N3 1127%218
N3 280%113
N3 349%15
N4 1739%13133
N4 21067%19339
N4 31291%22201
N4 4673%1250
N5 1685%12108
N5 2454%867
N6 438%13
N6 5237%431
N6 6126%26
N7 0423%769
N7 62368%41256
N7 71233%21153
N7 8711%12120
N7 9644%11119
N8 0807%14116
N8 7277%534
N8 8588%1072
N8 9192%324
N9 0426%789
N9 7163%323
N9 858%110
N9 9144%334
NW1 01389%24311
NW1 1432%891
NW1 21254%22397
NW1 3603%10117
NW1 4843%1592
NW1 5819%1469
NW1 6350%665
NW1 71021%18185
NW1 82917%51549
NW1 9537%988
NW10 0114%222
NW10 1111%215
NW10 2256%437
NW10 3126%216
NW10 4397%760
NW10 5179%329
NW10 615%02
NW10 768%123
NW10 8114%223
NW10 965%110
NW11 034%13
NW11 680%17
NW11 7195%319
NW11 8348%633
NW11 9114%215
NW2 1154%323
NW2 2120%212
NW2 3533%958
NW2 4226%421
NW2 576%19
NW2 6120%222
NW2 785%116
NW3 1327%625
NW3 2559%10156
NW3 3561%1069
NW3 4824%1483
NW3 5347%640
NW3 6788%1495
NW3 735%13
NW4 140%14
NW4 292%212
NW4 3646%11124
NW4 478%111
NW5 1373%665
NW5 2691%12106
NW5 3715%1266
NW5 4232%429
NW6 1584%1076
NW6 2897%1673
NW6 31064%1986
NW6 41889%33203
NW6 5456%874
NW6 6283%536
NW6 7666%12103
NW7 160%17
NW7 2131%215
NW7 3165%316
NW7 460%15
NW8 0624%1164
NW8 61370%24100
NW8 7406%738
NW8 8251%448
NW8 9400%744
NW9 081%114
NW9 5120%234
NW9 657%18
NW9 774%17
NW9 871%110
NW9 9175%326
SE1 0138%266
SE1 1682%12191
SE1 2466%8253
SE1 3305%568
SE1 4412%779
SE1 5313%552
SE1 61623%28221
SE1 7461%8245
SE1 81223%21316
SE1 9583%10251
SE10 0749%13128
SE10 8256%431
SE10 9304%549
SE11 4525%970
SE11 5478%880
SE11 6140%215
SE12 0112%214
SE12 893%211
SE12 961%17
SE13 5180%331
SE13 6264%563
SE13 7434%893
SE14 5123%224
SE14 6439%869
SE15 1186%323
SE15 2163%326
SE15 3197%334
SE15 4710%1276
SE15 5804%14126
SE15 6152%325
SE16 2157%325
SE16 3132%221
SE16 4540%948
SE16 5133%28
SE16 6277%513
SE16 71090%1996
SE17 1549%1057
SE17 2377%772
SE17 3177%328
SE18 149%110
SE18 232%14
SE18 357%19
SE18 451%110
SE18 5107%216
SE18 6419%798
SE18 756%110
SE19 1119%213
SE19 2222%421
SE19 356%18
SE2 065%110
SE2 981%116
SE20 772%111
SE20 8115%217
SE21 782%16
SE21 882%112
SE22 0107%212
SE22 8182%327
SE22 9130%212
SE23 148%16
SE23 278%112
SE23 3101%214
SE24 088%210
SE24 9100%211
SE25 450%18
SE25 5105%214
SE25 6146%325
SE26 487%211
SE26 5108%214
SE26 652%17
SE27 0122%219
SE27 9162%321
SE28 039%17
SE28 836%19
SE3 0110%211
SE3 7129%213
SE3 833%14
SE3 975%18
SE4 169%113
SE4 2130%220
SE5 0224%431
SE5 7331%653
SE5 8308%573
SE5 999%229
SE6 138%18
SE6 264%114
SE6 343%17
SE6 4260%545
SE7 7108%222
SE7 869%110
SE8 3137%218
SE8 4324%639
SE8 5164%322
SE9 1136%221
SE9 250%18
SE9 330%15
SE9 471%111
SE9 588%210
SE9 685%111
SW10 091%220
SW10 9159%323
SW11 1716%1295
SW11 2592%1090
SW11 366%112
SW11 4299%537
SW11 5111%221
SW11 648%16
SW12 081%17
SW12 8123%219
SW12 9626%1171
SW13 054%15
SW13 971%18
SW14 788%29
SW14 845%16
SW15 1528%977
SW15 2114%218
SW15 3105%214
SW15 486%113
SW15 570%111
SW15 6107%212
SW16 1281%539
SW16 274%115
SW16 395%211
SW16 4155%327
SW16 5209%443
SW16 6147%327
SW17 0243%483
SW17 7132%225
SW17 8119%224
SW17 9464%895
SW18 181%115
SW18 2100%213
SW18 325%04
SW18 4254%451
SW18 524%04
SW19 1259%545
SW19 2109%220
SW19 355%111
SW19 452%18
SW19 580%17
SW19 668%19
SW19 7183%320
SW19 8216%447
SW1A 04679%8139
SW1A 1151%318
SW1A 2802%14197
SW1E 51671%29210
SW1E 61291%22190
SW1H 0101%217
SW1H 928%07
SW1P 1340%673
SW1P 261%120
SW1P 3254%480
SW1P 4102%222
SW1V 11277%22169
SW1V 2468%841
SW1V 3130%214
SW1V 4151%310
SW1W 0142%226
SW1W 8625%1163
SW1W 9701%12124
SW1X 0299%513
SW1X 7836%15123
SW1X 8104%28
SW1X 9224%421
SW1Y 4219%428
SW1Y 570%110
SW1Y 6666%1272
SW2 11486%26155
SW2 294%212
SW2 377%112
SW2 4217%425
SW2 5258%438
SW20 064%18
SW20 823%03
SW20 920%02
SW3 1841%15133
SW3 298%211
SW3 3124%213
SW3 4468%847
SW3 5200%318
SW3 6203%424
SW4 0438%842
SW4 6818%1493
SW4 72429%42230
SW4 860%15
SW4 9442%850
SW5 0307%534
SW5 9665%1281
SW6 1407%757
SW6 2142%228
SW6 360%19
SW6 4157%320
SW6 5345%635
SW6 636%15
SW6 7148%320
SW7 1372%633
SW7 2544%9100
SW7 3336%626
SW7 4553%1055
SW7 5268%537
SW8 1689%12121
SW8 2194%331
SW8 3130%213
SW8 4107%215
SW8 571%16
SW9 0247%429
SW9 6252%427
SW9 71281%22182
SW9 83149%55319
SW9 9424%762
W10 4112%216
W10 5364%688
W10 6156%329
W11 1861%15128
W11 21214%21139
W11 31861%32178
W11 4142%224
W12 087%224
W12 7258%4118
W12 81244%22216
W12 959%110
W13 0194%327
W13 849%15
W13 999%218
W14 040%17
W14 8171%336
W14 9113%223
W1B 1889%1528
W1B 2949%1770
W1B 326370%45939
W1B 48828%154147
W1B 56729%117292
W1C 123278%405226
W1C 28373%14681
W1D 127187%473307
W1D 2115373%2007271
W1D 33338%58281
W1D 45257%91256
W1D 53183%55189
W1D 64546%79379
W1D 72686%47167
W1F 01404%24146
W1F 72294%40354
W1F 8536%971
W1F 9605%1176
W1G 03746%6579
W1G 668%14
W1G 7213%49
W1G 870%15
W1G 982%117
W1H 184%15
W1H 2333%68
W1H 4143%26
W1H 5348%619
W1H 61467%2680
W1H 7632%1156
W1J 01086%1950
W1J 5106%210
W1J 6183%319
W1J 7350%644
W1J 8270%519
W1K 11091%1933
W1K 2247%423
W1K 380%19
W1K 4112%25
W1K 51243%2280
W1K 61439%2566
W1K 75086%88240
W1S 11732%30336
W1S 2222%425
W1S 3652%1125
W1S 4437%846
W1T 11286%22253
W1T 2761%1358
W1T 31533%27151
W1T 4288%533
W1T 5508%964
W1T 6306%512
W1T 71197%2163
W1U 12575%45214
W1U 2662%1235
W1U 3251%421
W1U 4318%612
W1U 5203%411
W1U 6615%1132
W1U 7221%413
W1U 8185%314
W1W 5628%1137
W1W 6252%433
W1W 7129%214
W1W 83851%67376
W2 1748%13267
W2 21562%27197
W2 31263%22147
W2 41076%19143
W2 5214%433
W2 6194%350
W3 085%112
W3 6141%232
W3 790%220
W3 8168%335
W3 9241%427
W4 1131%218
W4 257%110
W4 329%14
W4 4115%212
W4 596%221
W5 1102%215
W5 2296%559
W5 3117%219
W5 4236%439
W5 5798%14113
W6 0215%459
W6 7101%221
W6 8149%333
W6 9433%8111
W7 151%17
W7 235%14
W7 389%213
W8 4303%533
W8 5350%666
W8 6166%320
W8 7173%320
W9 1215%431
W9 2216%432
W9 3192%336
WC1A 12636%46108
WC1A 21098%1963
WC1B 31342%23215
WC1B 4688%1220
WC1B 53562%62117
WC1E 6540%970
WC1E 71155%20114
WC1H 0955%17107
WC1H 81171%2083
WC1H 9969%17157
WC1N 11808%31176
WC1N 2810%1462
WC1N 3249%452
WC1R 4329%642
WC1R 5484%836
WC1V 6921%1651
WC1V 71066%1946
WC1X 0976%1773
WC1X 81257%22122
WC1X 9538%946
WC2A 197%27
WC2A 2680%128
WC2A 3215%428
WC2B 4549%1042
WC2B 5313%586
WC2B 614053%245178
WC2E 7215%448
WC2E 83110%54125
WC2E 92051%36238
WC2H 07240%126275
WC2H 78959%156595
WC2H 81091%1992
WC2H 9536%989
WC2N 4482%848
WC2N 5344%673
WC2N 62281%40223
WC2R 01152%2046
WC2R 1127%29
WC2R 22721%4732
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 volume of theft from the person crime is 41.6k and has decreased by 6.3% 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.

-6.3%

annual change

7.3

annual crime rate per 1k workday people

41.6k

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

Inner London theft from the person crime seasonality

Related reports

Inner London crime stats


Inner London real estate market


Inner London population statistics


Inner London salary and unemployment


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