◉ plumplot 

Inner London theft from the person crime statistics

Annual crime rate in Inner London postcode area is 7.3, i.e. 7.3 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 41.5k, and this number has decreased by 8.7% when compared year-over-year in the period of December 2017 - November 2018.

7.3

annual crime rate per 1k workday people

422%

of national crime rate

5.7%

of all crimes

41.5k

crimes committed

-8.7%

annual change

Inner London theft from the person crime rate comparison map

December 2017 - November 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 1441%867
E1 2269%543
E1 3100%210
E1 4230%470
E1 5399%771
E1 6786%14294
E1 7179%367
E1 873%125
E10 5253%458
E10 6130%236
E10 7225%450
E11 1168%328
E11 2269%542
E11 3159%331
E11 4334%668
E12 5148%334
E12 6192%367
E13 0198%348
E13 8200%348
E13 9667%12166
E14 0170%331
E14 2239%47
E14 3109%223
E14 4136%244
E14 544%151
E14 6256%443
E14 7272%554
E14 8102%232
E14 956%126
E15 12437%42617
E15 21400%24271
E15 3284%556
E15 4395%791
E16 1598%10104
E16 282%116
E16 3132%226
E16 4106%222
E17 3142%229
E17 4241%463
E17 558%114
E17 6282%569
E17 71679%29282
E17 8111%223
E17 9569%10102
E18 1146%315
E18 270%110
E1W 1504%947
E1W 2405%737
E1W 3299%521
E2 0331%654
E2 6691%1282
E2 72395%42325
E2 8755%13100
E2 9648%11100
E3 2330%664
E3 3290%554
E3 4517%9107
E3 5306%552
E4 656%112
E4 763%112
E4 8105%222
E4 983%120
E5 0230%448
E5 8261%552
E5 9248%455
E6 1657%11168
E6 2527%9141
E6 3110%231
E6 5205%442
E6 6129%233
E7 076%114
E7 8289%594
E7 9135%234
E8 1817%14136
E8 21098%19160
E8 3718%12111
E8 41034%18148
E9 5205%442
E9 6271%559
E9 7420%772
EC1A 242%13
EC1A 4704%1240
EC1A 777%115
EC1A 965%14
EC1M 31833%3232
EC1M 4126%25
EC1M 5697%1270
EC1M 6765%1378
EC1M 71428%2520
EC1N 6653%118
EC1N 7140%216
EC1N 8132%219
EC1R 0273%528
EC1R 1461%820
EC1R 3360%618
EC1R 41188%2182
EC1R 5983%1741
EC1V 0561%1045
EC1V 13204%5661
EC1V 2353%618
EC1V 31011%1861
EC1V 4432%829
EC1V 7934%1665
EC1V 8952%1740
EC1V 92079%36253
EC1Y 01468%2562
EC1Y 12299%4048
EC1Y 280%11
EC1Y 41181%2140
EC1Y 8119%227
EC2A 1468%817
EC2A 21073%1936
EC2A 31124%20173
EC2A 4515%9135
EC2M 1926%1676
EC2M 2561%1023
EC2M 3951%1739
EC2M 493%221
EC2M 549%12
EC2M 6439%818
EC2M 7573%1094
EC2N 273%13
EC2R 6171%37
EC2R 712%01
EC2V 568%14
EC2V 699%210
EC2V 718%02
EC2Y 56%01
EC2Y 884%126
EC2Y 9576%1039
EC3A 381%13
EC3A 734%12
EC3M 76%01
EC3N 1231%429
EC3N 273%112
EC3N 41417%25146
EC3R 5161%318
EC3R 767%15
EC3R 826%05
EC3V 0151%318
EC3V 1195%38
EC3V 31146%2094
EC3V 998%24
EC4A 1199%336
EC4A 352%110
EC4A 4314%55
EC4M 7335%630
EC4M 9341%617
EC4N 157%11
EC4N 5344%66
EC4N 7707%1229
EC4N 824%02
EC4R 021%06
EC4R 157%11
EC4R 26%01
EC4R 9219%418
EC4V 2115%24
EC4V 340%17
EC4V 4636%1119
EC4V 562%112
EC4V 615%01
EC4Y 0146%37
EC4Y 1129%26
EC4Y 8159%311
N1 0720%13147
N1 1534%971
N1 2615%11111
N1 3435%843
N1 4517%956
N1 5740%1396
N1 6940%16170
N1 7289%557
N1 81010%18159
N1 9474%8143
N10 1173%320
N10 2146%317
N10 3495%965
N11 1125%223
N11 2153%321
N11 368%18
N12 0195%325
N12 797%27
N12 8243%430
N12 9220%425
N13 4147%324
N13 5103%217
N13 669%16
N14 474%111
N14 5158%321
N14 6158%317
N14 754%14
N15 3615%1186
N15 4521%995
N15 52144%37317
N15 6227%443
N16 0207%423
N16 5211%449
N16 697%222
N16 7488%868
N16 8471%874
N16 9752%1358
N17 0106%223
N17 6132%237
N17 7238%433
N17 8345%647
N17 9451%8105
N18 1106%228
N18 2234%466
N18 31200%2111
N19 3467%878
N19 4499%965
N19 5800%14158
N1C 48561%149186
N2 049%16
N2 8193%316
N2 955%16
N20 054%18
N20 9255%420
N21 127%03
N21 211%01
N21 358%16
N22 5595%10104
N22 61756%30397
N22 7642%1192
N22 8215%428
N3 1127%218
N3 293%215
N3 349%15
N4 1719%12129
N4 21035%18328
N4 31224%21190
N4 4580%1043
N5 1693%12109
N5 2374%655
N6 438%13
N6 5237%431
N6 6126%26
N7 0393%764
N7 62318%40250
N7 71139%20141
N7 8707%12119
N7 9592%10109
N8 0655%1194
N8 7229%428
N8 8491%960
N8 9201%325
N9 0446%893
N9 7170%324
N9 847%18
N9 9141%233
NW1 01289%22288
NW1 1329%669
NW1 21193%21377
NW1 3640%11124
NW1 4826%1490
NW1 5821%1469
NW1 6362%667
NW1 7946%16171
NW1 82642%46496
NW1 9483%879
NW10 0104%220
NW10 197%213
NW10 2236%434
NW10 3111%214
NW10 4404%761
NW10 5174%328
NW10 68%01
NW10 771%124
NW10 8119%224
NW10 959%19
NW11 045%14
NW11 681%17
NW11 7206%420
NW11 8338%632
NW11 9107%214
NW2 1148%322
NW2 2131%213
NW2 3525%957
NW2 4216%420
NW2 576%19
NW2 6136%225
NW2 780%115
NW3 1249%419
NW3 2482%8134
NW3 3498%961
NW3 4667%1267
NW3 5322%637
NW3 6766%1392
NW3 723%02
NW4 150%15
NW4 285%111
NW4 3684%12131
NW4 478%111
NW5 1345%660
NW5 2614%1194
NW5 3500%946
NW5 4200%325
NW6 1501%965
NW6 2838%1568
NW6 3942%1676
NW6 41782%31191
NW6 5383%762
NW6 6252%432
NW6 7616%1195
NW7 169%18
NW7 2123%214
NW7 3144%314
NW7 448%14
NW8 0528%954
NW8 61222%2189
NW8 7385%736
NW8 8247%447
NW8 9328%636
NW9 075%113
NW9 5121%234
NW9 672%110
NW9 763%16
NW9 878%111
NW9 9183%327
SE1 0140%267
SE1 1716%12200
SE1 2491%9266
SE1 3319%671
SE1 4329%663
SE1 5302%550
SE1 61597%28217
SE1 7486%8258
SE1 81245%22321
SE1 9603%10259
SE10 0740%13126
SE10 8248%430
SE10 9342%655
SE11 4519%969
SE11 5491%982
SE11 6131%214
SE12 080%110
SE12 885%110
SE12 961%17
SE13 5192%333
SE13 6256%461
SE13 7444%895
SE14 5113%222
SE14 6396%762
SE15 1162%320
SE15 2151%324
SE15 3192%333
SE15 4739%1379
SE15 5819%14128
SE15 6159%326
SE16 2145%323
SE16 3158%325
SE16 4598%1053
SE16 5150%39
SE16 6235%411
SE16 71081%1995
SE17 1589%1061
SE17 2377%772
SE17 3190%330
SE18 150%110
SE18 232%14
SE18 370%111
SE18 446%19
SE18 581%112
SE18 6411%796
SE18 750%19
SE19 1101%211
SE19 2212%420
SE19 371%110
SE2 072%111
SE2 986%117
SE20 779%112
SE20 895%214
SE21 741%13
SE21 855%18
SE22 098%211
SE22 8182%327
SE22 9120%211
SE23 156%17
SE23 272%111
SE23 3115%216
SE24 088%210
SE24 9100%211
SE25 450%18
SE25 5106%214
SE25 6134%223
SE26 496%212
SE26 5131%217
SE26 637%15
SE27 0109%217
SE27 9170%322
SE28 045%18
SE28 836%19
SE3 090%29
SE3 7129%213
SE3 841%15
SE3 966%17
SE4 164%112
SE4 2111%217
SE5 0217%430
SE5 7326%652
SE5 8275%565
SE5 996%228
SE6 138%18
SE6 282%118
SE6 343%17
SE6 4255%444
SE7 7109%222
SE7 862%19
SE8 3145%319
SE8 4308%537
SE8 5157%321
SE9 1143%222
SE9 244%17
SE9 324%04
SE9 471%111
SE9 588%210
SE9 6100%213
SW10 091%220
SW10 9160%323
SW11 1749%1399
SW11 2567%1086
SW11 355%110
SW11 4291%536
SW11 5128%224
SW11 640%15
SW12 093%28
SW12 8117%218
SW12 9716%1281
SW13 044%14
SW13 971%18
SW14 779%18
SW14 837%15
SW15 1550%1080
SW15 2108%217
SW15 390%212
SW15 480%112
SW15 583%113
SW15 6108%212
SW16 1275%538
SW16 275%115
SW16 395%211
SW16 4155%327
SW16 5195%340
SW16 6131%224
SW17 0232%479
SW17 7153%329
SW17 8114%223
SW17 9470%896
SW18 176%114
SW18 2100%213
SW18 337%16
SW18 4244%449
SW18 518%03
SW19 1243%442
SW19 2109%220
SW19 350%110
SW19 439%16
SW19 580%17
SW19 676%110
SW19 7183%320
SW19 8212%446
SW1A 05654%9847
SW1A 1159%319
SW1A 2833%14204
SW1E 51604%28201
SW1E 61328%23195
SW1H 0107%218
SW1H 928%07
SW1P 1397%785
SW1P 267%122
SW1P 3267%584
SW1P 484%118
SW1V 11379%24182
SW1V 2503%944
SW1V 3140%215
SW1V 4121%28
SW1W 0148%327
SW1W 8626%1163
SW1W 9719%12127
SW1X 0253%411
SW1X 7742%13109
SW1X 8118%29
SW1X 9214%420
SW1Y 4243%431
SW1Y 556%18
SW1Y 6788%1485
SW2 11471%26153
SW2 286%111
SW2 390%214
SW2 4191%322
SW2 5232%434
SW20 065%18
SW20 830%14
SW20 920%02
SW3 1881%15139
SW3 2108%212
SW3 3134%214
SW3 4489%849
SW3 5234%421
SW3 6195%323
SW4 0398%738
SW4 6820%1493
SW4 72372%41224
SW4 860%15
SW4 9461%852
SW5 0262%529
SW5 9716%1287
SW6 1408%757
SW6 2173%334
SW6 367%110
SW6 4133%217
SW6 5386%739
SW6 644%16
SW6 7178%324
SW7 1407%736
SW7 2551%10101
SW7 3324%625
SW7 4524%952
SW7 5247%434
SW8 1748%13131
SW8 2169%327
SW8 3141%214
SW8 4100%214
SW8 5106%29
SW9 0231%427
SW9 6215%423
SW9 7882%15125
SW9 83128%54316
SW9 9378%755
W10 4113%216
W10 5386%793
W10 6168%331
W11 1938%16139
W11 21375%24157
W11 32013%35192
W11 4166%328
W12 083%123
W12 7300%5137
W12 81172%20203
W12 965%111
W13 0209%429
W13 840%14
W13 9100%218
W14 035%16
W14 8181%338
W14 9108%222
W1B 1891%1528
W1B 21019%1875
W1B 325761%44738
W1B 49152%159152
W1B 57417%129321
W1C 124681%428239
W1C 29120%15888
W1D 127701%481312
W1D 2118233%2052277
W1D 33799%66319
W1D 45785%100281
W1D 53529%61209
W1D 65002%87416
W1D 72773%48172
W1F 01514%26157
W1F 72397%42369
W1F 8651%1186
W1F 9654%1182
W1G 03803%6680
W1G 685%15
W1G 7119%25
W1G 856%14
W1G 982%117
W1H 184%15
W1H 2334%68
W1H 4120%25
W1H 5386%721
W1H 61471%2680
W1H 7611%1154
W1J 01023%1847
W1J 5106%210
W1J 6174%318
W1J 7366%646
W1J 8256%418
W1K 11093%1933
W1K 2247%423
W1K 371%18
W1K 490%24
W1K 51215%2178
W1K 61574%2772
W1K 74972%86234
W1S 11731%30335
W1S 2231%426
W1S 3785%1430
W1S 4438%846
W1T 11427%25280
W1T 2815%1462
W1T 31629%28160
W1T 4289%533
W1T 5525%966
W1T 6281%511
W1T 71105%1958
W1U 12618%45217
W1U 2645%1134
W1U 3239%420
W1U 4292%511
W1U 5185%310
W1U 6559%1029
W1U 7205%412
W1U 8159%312
W1W 5698%1241
W1W 6252%433
W1W 7129%214
W1W 84067%71396
W2 1793%14282
W2 21471%26185
W2 31240%22144
W2 41101%19146
W2 5234%436
W2 6191%349
W3 0100%214
W3 6150%334
W3 790%220
W3 8159%333
W3 9269%530
W4 1146%320
W4 251%19
W4 337%15
W4 4106%211
W4 596%221
W5 1102%215
W5 2332%666
W5 3123%220
W5 4242%440
W5 5835%14118
W6 0234%464
W6 7116%224
W6 8118%226
W6 9442%8113
W7 159%18
W7 235%14
W7 390%213
W8 4341%637
W8 5373%670
W8 6191%323
W8 7191%322
W9 1216%431
W9 2196%329
W9 3208%439
WC1A 12765%48113
WC1A 2961%1755
WC1B 31402%24224
WC1B 4587%1017
WC1B 53205%56105
WC1E 6518%967
WC1E 71158%20114
WC1H 0877%1598
WC1H 81089%1977
WC1H 9767%13124
WC1N 11637%28159
WC1N 2695%1253
WC1N 3235%449
WC1R 4299%538
WC1R 5391%729
WC1V 6942%1652
WC1V 71046%1845
WC1X 0845%1563
WC1X 81209%21117
WC1X 9492%942
WC2A 197%27
WC2A 2767%139
WC2A 3238%431
WC2B 4577%1044
WC2B 5317%687
WC2B 614326%249181
WC2E 7220%449
WC2E 83143%55126
WC2E 92151%37249
WC2H 07708%134292
WC2H 79526%165631
WC2H 81224%21103
WC2H 9561%1093
WC2N 4523%952
WC2N 5382%781
WC2N 62358%41230
WC2R 01280%2251
WC2R 1142%210
WC2R 23239%5638
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 41.5k, and this number has decreased by 8.7% 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.

-8.7%

annual change

7.3

annual crime rate per 1k workday people

41.5k

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

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