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Inner London vehicle crime statistics

Annual crime rate is 12.6, i.e. 12.6 crimes committed per annum per 1000 workday people. The rate is 157% of a national crime rate. Vehicle crime makes 9.8% of all crimes committed in the postcode area. The total volume of vehicle crime is 71.5k and has increased by 8% when compared year-over-year in the period of November 2017 - October 2018.

12.6

annual crime rate per 1k workday people

157%

of national crime rate

9.8%

of all crimes

71.5k

crimes committed

8%

annual change

Inner London vehicle crime rate comparison map

November 2017 - October 2018

Inner London vehicle crime rate comparison map
Postcode sectorCrime rate vs. ENG & WLS rateCrime rate per 1000 workday peopleTotal number of crimes
E1 0176%14132
E1 1210%17148
E1 2241%19179
E1 3127%1059
E1 4103%8146
E1 590%774
E1 646%480
E1 750%487
E1 861%597
E10 5200%16213
E10 6145%12187
E10 7218%18225
E11 1279%22216
E11 2368%30267
E11 3235%19212
E11 4196%16185
E12 5334%27355
E12 6169%14274
E13 0146%12164
E13 8270%22301
E13 9202%16234
E14 0175%14148
E14 2316%2543
E14 3103%8101
E14 48%112
E14 52%012
E14 6243%20189
E14 7190%15175
E14 877%6112
E14 956%5121
E15 1231%19271
E15 2218%18196
E15 3139%11127
E15 4164%13175
E16 1480%39387
E16 2200%16180
E16 3433%35396
E16 4266%21255
E17 3199%16189
E17 4212%17257
E17 5175%14195
E17 6162%13184
E17 7195%16152
E17 8267%21256
E17 9193%16161
E18 1266%21127
E18 2236%19156
E1W 190%739
E1W 2144%1261
E1W 3227%1874
E2 0180%14136
E2 6192%15106
E2 7295%24186
E2 8187%15115
E2 9219%18157
E3 2269%22242
E3 3196%16169
E3 4183%15176
E3 5212%17167
E4 6218%18216
E4 7232%19207
E4 8311%25301
E4 9244%20272
E5 0218%18211
E5 8245%20227
E5 9218%18225
E6 1190%15226
E6 2216%17269
E6 3234%19305
E6 5215%17205
E6 6219%18260
E7 0226%18193
E7 8169%14255
E7 9161%13188
E8 1182%15141
E8 2170%14115
E8 3178%14128
E8 4220%18146
E9 5324%26308
E9 6150%12152
E9 7278%22221
EC1A 4239%1963
EC1A 73%03
EC1A 970%620
EC1M 3111%99
EC1M 536%317
EC1M 66%13
EC1N 725%213
EC1N 846%431
EC1R 094%845
EC1R 189%718
EC1R 3202%1647
EC1R 487%728
EC1R 562%512
EC1V 078%629
EC1V 1124%1011
EC1V 24%01
EC1V 3111%931
EC1V 419%26
EC1V 743%314
EC1V 867%513
EC1V 9103%858
EC1Y 056%511
EC1Y 121%22
EC1Y 470%611
EC1Y 814%115
EC2A 1225%1838
EC2A 2128%1020
EC2A 343%331
EC2A 467%581
EC2M 13%01
EC2M 25%01
EC2M 311%12
EC2M 45%05
EC2M 537%37
EC2M 74%03
EC2V 54%01
EC2V 62%01
EC2V 74%02
EC2V 84%01
EC2Y 51%01
EC2Y 81%01
EC2Y 96%12
EC3A 56%03
EC3A 726%27
EC3M 71%01
EC3N 110%16
EC3N 210%18
EC3N 436%317
EC3R 56%03
EC3R 79%13
EC3R 811%110
EC3V 02%01
EC3V 33%01
EC3V 911%12
EC4A 16%05
EC4A 33%03
EC4A 414%11
EC4M 77%13
EC4M 99%12
EC4N 112%11
EC4N 525%22
EC4N 75%01
EC4R 01%02
EC4R 112%11
EC4R 210%17
EC4V 414%12
EC4V 58%17
EC4V 63%01
EC4Y 018%14
EC4Y 15%01
EC4Y 819%26
N1 0105%899
N1 1151%1293
N1 2177%14148
N1 3172%1479
N1 4256%21129
N1 5357%29215
N1 6162%13136
N1 7122%10112
N1 8155%12113
N1 941%358
N10 1168%1490
N10 2224%18121
N10 3239%19146
N11 1184%15157
N11 2307%25196
N11 3345%28188
N12 0242%20144
N12 784%728
N12 8148%1285
N12 9201%16106
N13 4312%25236
N13 5321%26245
N13 6337%27136
N14 4289%23199
N14 5177%14109
N14 6224%18112
N14 7214%1773
N15 3291%23189
N15 4220%18186
N15 5248%20170
N15 6205%17181
N16 0130%1067
N16 5171%14184
N16 6134%11141
N16 7150%1297
N16 8144%12105
N16 9170%1461
N17 0284%23287
N17 6261%21339
N17 7392%32253
N17 8362%29229
N17 9280%23303
N18 1203%16248
N18 2300%24392
N18 34584%369195
N19 3205%17159
N19 4253%20153
N19 5197%16181
N1C 4149%1215
N2 0234%19133
N2 8294%24113
N2 9199%16100
N20 0139%1195
N20 8127%1034
N20 9170%1462
N21 1298%24152
N21 2274%22118
N21 3298%24142
N22 5276%22224
N22 6236%19248
N22 7189%15126
N22 8180%15109
N3 1186%15122
N3 2154%12116
N3 3212%17100
N4 1280%23233
N4 2140%11206
N4 3269%22194
N4 4360%29124
N5 1189%15138
N5 2214%17146
N6 4380%31138
N6 5313%25190
N6 6317%2670
N7 0164%13124
N7 6334%27167
N7 7164%1394
N7 8166%13130
N7 9138%11118
N8 0282%23188
N8 7243%20138
N8 8240%19136
N8 9263%21152
N9 0244%20236
N9 7243%20159
N9 8189%15150
N9 9210%17229
NW1 074%677
NW1 167%565
NW1 235%352
NW1 349%444
NW1 4111%956
NW1 582%732
NW1 683%771
NW1 788%774
NW1 8156%13136
NW1 9154%12117
NW10 0248%20221
NW10 1208%17130
NW10 2184%15123
NW10 3220%18129
NW10 4207%17145
NW10 5239%19179
NW10 6198%16119
NW10 7154%12241
NW10 8193%16180
NW10 9154%12109
NW11 0144%1259
NW11 6303%24122
NW11 7171%1477
NW11 8159%1370
NW11 9187%15114
NW2 1275%22190
NW2 2190%1588
NW2 3496%40250
NW2 4355%29153
NW2 5156%1386
NW2 6268%22228
NW2 7211%17183
NW3 1198%1670
NW3 298%8127
NW3 3165%1394
NW3 4206%1796
NW3 5144%1277
NW3 6136%1176
NW3 7181%1572
NW4 1129%1060
NW4 2159%1396
NW4 3188%15167
NW4 4146%1295
NW5 1139%11112
NW5 2115%982
NW5 380%634
NW5 497%856
NW6 1223%18134
NW6 2231%1987
NW6 3243%2091
NW6 4211%17105
NW6 5198%16149
NW6 6231%19136
NW6 7274%22196
NW7 1150%1281
NW7 2275%22146
NW7 3298%24134
NW7 4224%1886
NW8 0183%1587
NW8 6151%1251
NW8 774%632
NW8 8170%14150
NW8 994%848
NW9 0166%13133
NW9 5228%18299
NW9 6173%14112
NW9 7191%1584
NW9 8160%13105
NW9 9131%1190
SE1 040%389
SE1 141%353
SE1 240%3100
SE1 3179%14185
SE1 4152%12135
SE1 5208%17160
SE1 6154%1297
SE1 737%391
SE1 890%7108
SE1 937%373
SE10 0302%24239
SE10 8214%17120
SE10 9150%12112
SE11 4178%14110
SE11 5121%1094
SE11 675%637
SE12 0140%1181
SE12 8273%22149
SE12 9187%15100
SE13 5217%18173
SE13 6157%13174
SE13 7122%10121
SE14 5206%17186
SE14 6162%13118
SE15 1178%14102
SE15 2232%19171
SE15 3200%16160
SE15 4202%16100
SE15 5141%11102
SE15 6127%1097
SE16 2140%11103
SE16 3167%13123
SE16 4262%21108
SE16 5194%1654
SE16 6198%1643
SE16 7287%23117
SE17 1144%1269
SE17 2136%11120
SE17 3140%11103
SE18 1165%13154
SE18 2189%15110
SE18 3165%13121
SE18 4108%997
SE18 5125%1086
SE18 6100%8108
SE18 795%879
SE19 1179%1491
SE19 2223%1898
SE19 3164%13108
SE2 0264%21187
SE2 9233%19214
SE20 7265%21187
SE20 8278%22191
SE21 7320%26109
SE21 8302%24204
SE22 0254%20132
SE22 8129%1089
SE22 9202%1686
SE23 1134%1178
SE23 2263%21187
SE23 3260%21168
SE24 0355%29187
SE24 9314%25160
SE25 4197%16147
SE25 5171%14105
SE25 6201%16160
SE26 4257%21150
SE26 5223%18134
SE26 6234%19145
SE27 0175%14126
SE27 9205%17123
SE28 0158%13132
SE28 8124%10145
SE3 0244%20113
SE3 7375%30175
SE3 8285%23161
SE3 9164%1381
SE4 1268%22233
SE4 2157%13112
SE5 0120%1077
SE5 7113%984
SE5 8155%12170
SE5 982%7111
SE6 1175%14170
SE6 2100%8102
SE6 3134%11102
SE6 4190%15152
SE7 7275%22258
SE7 8204%16137
SE8 3198%16120
SE8 4217%18121
SE8 5214%17133
SE9 1181%15129
SE9 2142%11105
SE9 3181%15140
SE9 4197%16142
SE9 5188%1599
SE9 6224%18135
SW10 0202%16206
SW10 9229%18153
SW11 1287%23176
SW11 2271%22191
SW11 3200%16168
SW11 4385%31221
SW11 5308%25269
SW11 6376%30217
SW12 0339%27135
SW12 8252%20180
SW12 9276%22145
SW13 0252%20107
SW13 8288%2325
SW13 9225%18117
SW14 7286%23135
SW14 8252%20156
SW15 1324%26219
SW15 2119%1087
SW15 3159%1398
SW15 4100%870
SW15 5118%1086
SW15 6218%18113
SW16 1201%16129
SW16 2198%16185
SW16 3245%20132
SW16 4244%20197
SW16 5208%17199
SW16 6180%15154
SW17 0102%8162
SW17 6118%108
SW17 7173%14152
SW17 8229%18214
SW17 9157%13149
SW18 1247%20211
SW18 2296%24178
SW18 3268%22202
SW18 4208%17194
SW18 5158%13120
SW19 1103%883
SW19 2131%11112
SW19 363%558
SW19 4111%980
SW19 5110%945
SW19 6101%862
SW19 7186%1594
SW19 8148%12149
SW1A 123%213
SW1A 217%119
SW1E 512%17
SW1E 63%02
SW1H 03%02
SW1H 91%01
SW1P 115%115
SW1P 214%122
SW1P 37%110
SW1P 424%224
SW1V 134%321
SW1V 2126%1051
SW1V 3126%1063
SW1V 4189%1558
SW1W 013%111
SW1W 888%741
SW1W 948%439
SW1X 0739%60149
SW1X 748%433
SW1X 8155%1255
SW1X 9381%31165
SW1Y 467%540
SW1Y 549%432
SW1Y 6106%953
SW2 1269%22130
SW2 2227%18135
SW2 3251%20181
SW2 4253%20135
SW2 5229%18156
SW20 0209%17120
SW20 892%756
SW20 9185%1584
SW3 171%652
SW3 2257%21133
SW3 3153%1274
SW3 4238%19111
SW3 5295%24123
SW3 6232%19127
SW4 0397%32176
SW4 6199%16105
SW4 7351%28154
SW4 8197%1676
SW4 9336%27176
SW5 0158%1381
SW5 9144%1281
SW6 1145%1294
SW6 2393%32359
SW6 3307%25212
SW6 4309%25183
SW6 5307%25144
SW6 6253%20162
SW6 7201%16126
SW7 1224%1892
SW7 287%774
SW7 3193%1669
SW7 4249%20115
SW7 5106%968
SW8 1210%17171
SW8 299%873
SW8 3212%1798
SW8 4129%1084
SW8 5127%1050
SW9 0224%18122
SW9 697%848
SW9 784%755
SW9 8134%1163
SW9 9160%13108
W10 4153%12101
W10 5135%11151
W10 6256%21220
W11 1198%16136
W11 2196%16104
W11 3117%952
W11 4189%15148
W12 0139%11178
W12 754%4114
W12 8158%13127
W12 9195%16153
W13 0207%17133
W13 8164%1377
W13 9208%17174
W14 0168%14135
W14 8207%17201
W14 9157%13149
W1B 182%712
W1B 226%29
W1B 3292%242
W1B 4156%1312
W1B 555%411
W1C 1111%95
W1C 2156%137
W1D 138%32
W1D 369%627
W1D 440%39
W1D 529%28
W1D 639%315
W1D 714%14
W1F 042%320
W1F 731%222
W1F 818%111
W1F 936%321
W1G 0215%1721
W1G 691%725
W1G 767%513
W1G 855%418
W1G 966%564
W1H 151%414
W1H 2198%1622
W1H 441%38
W1H 5170%1443
W1H 651%413
W1H 7283%23116
W1J 05%01
W1J 564%528
W1J 638%318
W1J 798%857
W1J 849%416
W1K 1136%1119
W1K 2213%1792
W1K 397%851
W1K 468%514
W1K 530%29
W1K 6184%1539
W1K 787%719
W1S 129%226
W1S 229%215
W1S 3169%1430
W1S 488%743
W1T 126%224
W1T 237%313
W1T 346%421
W1T 441%322
W1T 512%17
W1T 628%25
W1T 78%12
W1U 142%316
W1U 2429%35105
W1U 3160%1362
W1U 4132%1123
W1U 568%517
W1U 6100%824
W1U 752%414
W1U 826%29
W1W 5301%2482
W1W 636%322
W1W 718%19
W1W 858%526
W2 189%7147
W2 2361%29211
W2 3238%19128
W2 4187%15115
W2 5213%17152
W2 671%685
W3 0261%21170
W3 6134%11141
W3 7180%14186
W3 898%895
W3 9156%1381
W4 1337%27215
W4 2228%18185
W4 3345%28218
W4 4268%22129
W4 5249%20253
W5 1140%1195
W5 293%886
W5 3312%25235
W5 4273%22209
W5 5133%1187
W6 0154%12195
W6 786%783
W6 8166%13170
W6 9330%27392
W7 1139%1188
W7 2175%1492
W7 3177%14119
W8 460%530
W8 5101%888
W8 6226%18126
W8 7193%16103
W9 1261%21174
W9 2172%14118
W9 3105%891
WC1A 1427%3481
WC1A 2128%1034
WC1B 373%654
WC1B 452%47
WC1B 5131%1120
WC1E 628%217
WC1E 770%632
WC1H 089%746
WC1H 891%730
WC1H 9152%12114
WC1N 164%529
WC1N 276%627
WC1N 330%229
WC1R 447%428
WC1R 515%15
WC1V 623%26
WC1V 720%24
WC1X 0110%938
WC1X 827%212
WC1X 998%839
WC2A 13%01
WC2A 2110%96
WC2A 350%430
WC2B 4102%836
WC2B 564%582
WC2B 6119%107
WC2E 714%114
WC2E 827%25
WC2E 926%214
WC2H 028%25
WC2H 768%621
WC2H 869%627
WC2H 929%222
WC2N 415%17
WC2N 514%114
WC2N 622%210
WC2R 038%37
WC2R 273%64
WC2R 318%15

Inner London vehicle crime rate rank

Inner London vehicle crime rate rank

Inner London vehicle crime rate compared to other areas

The total volume of vehicle crime is 71.5k and has increased by 8% 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.

8%

annual change

12.6

annual crime rate per 1k workday people

71.5k

crimes committed
Inner London vehicle crime rate compared to other areasCrime rate percentage change
Crime rate per 1000 workday people

Inner London vehicle crime rate

Annual crime rate per 1000 workday people

Inner London vehicle crime rate

Inner London vehicle crime seasonality

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

Inner London vehicle crime seasonality

Related reports

Inner London crime stats


Inner London real estate market


Inner London population statistics


Inner London salary and unemployment


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