◉ plumplot 

Inner London burglary crime statistics

Annual crime rate is 9.5, i.e. 9.5 crimes committed per annum per 1000 workday people. The rate is 127% of a national crime rate. Burglary crime makes 7.4% of all crimes committed in the postcode area. The total volume of burglary crime is 53.6k and has increased by 10.7% when compared year-over-year in the period of November 2017 - October 2018.

9.5

annual crime rate per 1k workday people

127%

of national crime rate

7.4%

of all crimes

53.6k

crimes committed

10.7%

annual change

Inner London burglary crime rate comparison map

November 2017 - October 2018

Inner London burglary crime rate comparison map
Postcode sectorCrime rate vs. ENG & WLS rateCrime rate per 1000 workday peopleTotal number of crimes
E1 0108%875
E1 1205%15134
E1 2118%981
E1 3100%743
E1 4152%11200
E1 5158%12121
E1 684%6135
E1 764%5103
E1 840%359
E10 5122%9120
E10 683%699
E10 799%795
E11 1121%987
E11 2226%17152
E11 3158%12132
E11 4138%10121
E12 595%794
E12 675%6113
E13 0110%8115
E13 8111%8115
E13 9107%8115
E14 0115%990
E14 2127%916
E14 3118%9107
E14 48%111
E14 54%021
E14 6220%16159
E14 7170%13145
E14 876%6102
E14 957%4114
E15 1168%13183
E15 2180%13150
E15 3119%9101
E15 4123%9122
E16 1184%14138
E16 2118%999
E16 3190%14161
E16 477%669
E17 3189%14166
E17 4133%10149
E17 5130%10134
E17 6100%7105
E17 7169%13122
E17 8152%11135
E17 9160%12124
E18 1223%1799
E18 2209%16128
E1W 170%528
E1W 279%631
E1W 3132%1040
E2 0191%14134
E2 6207%15106
E2 7269%20157
E2 8179%13102
E2 9308%23205
E3 2249%19208
E3 3140%10112
E3 4180%13160
E3 5315%24231
E4 6132%10121
E4 7174%13144
E4 8142%11128
E4 9194%15201
E5 0178%13160
E5 8245%18211
E5 9202%15193
E6 1106%8117
E6 2129%10149
E6 3105%8127
E6 581%672
E6 677%685
E7 093%774
E7 879%6110
E7 991%799
E8 1184%14132
E8 2213%16134
E8 3228%17152
E8 4316%24195
E9 5186%14164
E9 6156%12146
E9 7309%23228
EC1A 210%13
EC1A 412%13
EC1A 715%113
EC1A 911%13
EC1M 393%77
EC1M 423%24
EC1M 595%741
EC1M 652%423
EC1M 7149%119
EC1N 638%32
EC1N 718%19
EC1N 845%328
EC1R 050%422
EC1R 180%615
EC1R 365%514
EC1R 474%622
EC1R 5150%1127
EC1V 067%523
EC1V 1268%2022
EC1V 218%14
EC1V 392%724
EC1V 493%727
EC1V 793%728
EC1V 8133%1024
EC1V 9116%961
EC1Y 0115%921
EC1Y 189%78
EC1Y 441%36
EC1Y 830%229
EC2A 16%01
EC2A 2104%815
EC2A 3151%11100
EC2A 464%572
EC2M 16%02
EC2M 217%13
EC2M 48%18
EC2M 523%24
EC2M 623%24
EC2M 716%111
EC2N 26%01
EC2R 78%13
EC2V 58%12
EC2V 76%03
EC2V 84%01
EC2Y 53%02
EC2Y 81%01
EC2Y 93%01
EC3A 319%13
EC3A 512%16
EC3A 716%14
EC3M 77%15
EC3N 118%110
EC3N 49%14
EC3R 512%16
EC3R 76%02
EC3R 85%04
EC3V 014%17
EC3V 134%36
EC3V 314%15
EC3V 951%49
EC4A 121%216
EC4A 312%110
EC4A 415%11
EC4M 713%15
EC4M 942%39
EC4N 166%55
EC4N 5106%88
EC4N 745%38
EC4N 83%01
EC4R 04%05
EC4R 29%16
EC4R 93%01
EC4V 27%01
EC4V 31%01
EC4V 478%610
EC4V 58%17
EC4V 620%26
EC4Y 05%01
EC4Y 140%38
EC4Y 884%625
N1 0130%10114
N1 1192%14110
N1 2212%16165
N1 3117%950
N1 4201%1594
N1 5233%17130
N1 6145%11113
N1 7109%893
N1 8128%1087
N1 979%6103
N10 1159%1279
N10 2140%1070
N10 3170%1396
N11 1147%11116
N11 2162%1296
N11 3188%1495
N12 0209%16115
N12 7200%1562
N12 8133%1071
N12 9133%1065
N13 4232%17163
N13 5202%15143
N13 6184%1469
N14 4169%13108
N14 5112%864
N14 6155%1272
N14 7240%1876
N15 3272%20164
N15 4199%15156
N15 5193%14123
N15 6135%10110
N16 0159%1276
N16 5116%9116
N16 671%569
N16 7202%15121
N16 8136%1092
N16 9241%1880
N17 0179%13168
N17 6171%13206
N17 7262%20157
N17 8221%17130
N17 9144%11144
N18 1158%12179
N18 2115%9139
N18 3684%5127
N19 3182%14131
N19 4298%22167
N19 5196%15167
N1C 4139%1013
N2 0225%17119
N2 8182%1465
N2 9114%953
N20 0118%975
N20 8186%1446
N20 9190%1464
N21 1237%18112
N21 2228%1791
N21 3197%1587
N22 5200%15151
N22 6147%11143
N22 775%646
N22 8132%1074
N3 1218%16133
N3 2129%1090
N3 3220%1696
N4 1200%15155
N4 2106%8145
N4 3271%20181
N4 4348%26111
N5 1159%12108
N5 2240%18152
N6 4252%1985
N6 5245%18138
N6 6318%2465
N7 0195%15137
N7 6284%21132
N7 7167%1289
N7 8192%14139
N7 9175%13139
N8 0178%13110
N8 7201%15106
N8 8281%21148
N8 9188%14101
N9 095%785
N9 7145%1188
N9 8110%881
N9 9143%11145
NW1 083%680
NW1 151%446
NW1 243%358
NW1 355%446
NW1 487%741
NW1 586%631
NW1 699%779
NW1 7146%11114
NW1 8188%14152
NW1 9129%1091
NW10 0130%10108
NW10 1199%15115
NW10 2167%13104
NW10 3171%1393
NW10 4188%14122
NW10 5239%18166
NW10 6142%1179
NW10 754%479
NW10 8109%894
NW10 999%765
NW11 0190%1472
NW11 6201%1575
NW11 7139%1058
NW11 8243%1899
NW11 9180%13102
NW2 1179%13115
NW2 2191%1482
NW2 3462%35216
NW2 4391%29156
NW2 5205%15105
NW2 6193%14152
NW2 7159%12128
NW3 1128%1042
NW3 2121%9145
NW3 3208%16110
NW3 4196%1585
NW3 5194%1496
NW3 6158%1282
NW3 7212%1678
NW4 1169%1373
NW4 2175%1398
NW4 3135%10111
NW4 4189%14114
NW5 1162%12121
NW5 2170%13112
NW5 3177%1370
NW5 4162%1287
NW6 1290%22162
NW6 2303%23106
NW6 3259%1990
NW6 4251%19116
NW6 5155%12108
NW6 6260%19142
NW6 7294%22195
NW7 1126%963
NW7 2177%1387
NW7 3182%1476
NW7 4165%1259
NW8 0175%1377
NW8 6137%1043
NW8 7117%947
NW8 8115%994
NW8 985%640
NW9 0116%986
NW9 5112%8136
NW9 682%649
NW9 7196%1580
NW9 8140%1085
NW9 9149%1195
SE1 058%4120
SE1 181%698
SE1 245%3104
SE1 3121%9116
SE1 498%781
SE1 5133%1095
SE1 6132%1077
SE1 745%3103
SE1 894%7104
SE1 958%4108
SE10 0153%11112
SE10 8273%20142
SE10 9178%13123
SE11 4145%1183
SE11 5108%878
SE11 696%744
SE12 0162%1287
SE12 8177%1390
SE12 9163%1281
SE13 5126%993
SE13 6100%7103
SE13 7142%11131
SE14 5131%10110
SE14 6132%1089
SE15 1109%858
SE15 2188%14129
SE15 3146%11108
SE15 4374%28172
SE15 5138%1093
SE15 6160%12113
SE16 2133%1091
SE16 3152%11104
SE16 4246%1894
SE16 5209%1654
SE16 6179%1336
SE16 7233%1788
SE17 1175%1378
SE17 2158%12130
SE17 3138%1094
SE18 179%669
SE18 2111%860
SE18 3119%981
SE18 471%559
SE18 5134%1086
SE18 6127%10128
SE18 794%772
SE19 1185%1487
SE19 2201%1582
SE19 3116%971
SE2 0138%1091
SE2 9127%9108
SE20 7130%1085
SE20 8174%13111
SE21 7234%1774
SE21 8206%15129
SE22 0191%1492
SE22 8205%15131
SE22 9172%1368
SE23 1139%1075
SE23 2195%15129
SE23 3185%14111
SE24 0254%19124
SE24 9243%18115
SE25 4166%12115
SE25 5142%1181
SE25 6174%13128
SE26 4233%17126
SE26 5149%1183
SE26 6184%14106
SE27 0129%1086
SE27 9137%1076
SE28 0160%12124
SE28 893%7101
SE3 0214%1692
SE3 7196%1585
SE3 8176%1392
SE3 9249%19114
SE4 1175%13141
SE4 2139%1092
SE5 0173%13103
SE5 7164%12113
SE5 8160%12163
SE5 993%7117
SE6 1112%8101
SE6 2114%9108
SE6 3116%982
SE6 4215%16160
SE7 7130%10113
SE7 8156%1297
SE8 3193%14109
SE8 4232%17120
SE8 5185%14107
SE9 1118%978
SE9 2125%986
SE9 3149%11107
SE9 4136%1091
SE9 5168%1382
SE9 6123%969
SW10 076%672
SW10 9134%1083
SW11 1197%15112
SW11 2175%13114
SW11 3114%989
SW11 4139%1074
SW11 5139%10113
SW11 6131%1070
SW12 0241%1889
SW12 8169%13112
SW12 9419%31204
SW13 0183%1472
SW13 8186%1415
SW13 999%748
SW14 7198%1587
SW14 8181%14104
SW15 1150%1194
SW15 2135%1092
SW15 3166%1295
SW15 466%543
SW15 5117%979
SW15 6158%1276
SW16 1180%13107
SW16 2139%10120
SW16 398%749
SW16 4115%986
SW16 5160%12142
SW16 6157%12124
SW17 099%7145
SW17 6399%3025
SW17 7200%15163
SW17 8143%11124
SW17 9154%11135
SW18 1179%13142
SW18 2217%16121
SW18 3159%12111
SW18 4154%12133
SW18 592%765
SW19 1148%11110
SW19 2148%11117
SW19 3119%9102
SW19 499%766
SW19 5130%1049
SW19 6126%972
SW19 7155%1273
SW19 8143%11134
SW1A 084%63
SW1A 125%213
SW1A 227%229
SW1E 519%110
SW1E 622%214
SW1H 019%114
SW1H 99%110
SW1P 127%225
SW1P 230%242
SW1P 310%113
SW1P 426%224
SW1V 1114%965
SW1V 2151%1157
SW1V 3104%848
SW1V 4130%1037
SW1W 034%327
SW1W 899%743
SW1W 946%335
SW1X 0187%1435
SW1X 740%325
SW1X 861%520
SW1X 980%632
SW1Y 424%213
SW1Y 57%04
SW1Y 645%321
SW2 1254%19114
SW2 2156%1286
SW2 3185%14124
SW2 4258%19128
SW2 5222%17140
SW20 0137%1073
SW20 8118%967
SW20 9147%1162
SW3 151%435
SW3 2146%1170
SW3 382%637
SW3 4169%1373
SW3 5142%1155
SW3 685%643
SW4 0228%1794
SW4 6209%16102
SW4 7379%28154
SW4 8120%943
SW4 9198%1596
SW5 0218%16104
SW5 9182%1495
SW6 1141%1185
SW6 2163%12138
SW6 3128%1082
SW6 4175%1396
SW6 5246%18107
SW6 6145%1186
SW6 7136%1079
SW7 163%524
SW7 252%441
SW7 3154%1151
SW7 4203%1587
SW7 5121%972
SW8 1159%12120
SW8 273%550
SW8 398%742
SW8 4143%1186
SW8 558%421
SW9 0192%1497
SW9 6115%953
SW9 797%759
SW9 8142%1162
SW9 9155%1297
W10 4146%1189
W10 5133%10138
W10 6178%13142
W11 1191%14122
W11 2301%22148
W11 3277%21114
W11 4161%12117
W12 0102%8121
W12 745%388
W12 8180%13134
W12 9160%12116
W13 0137%1082
W13 8112%849
W13 9104%881
W14 0185%14138
W14 8157%12142
W14 9182%14160
W1B 122%23
W1B 228%29
W1B 31416%1069
W1B 4503%3836
W1B 586%616
W1C 1360%2715
W1C 2168%137
W1D 1103%85
W1D 2198%152
W1D 386%631
W1D 4167%1335
W1D 5149%1138
W1D 695%734
W1D 779%621
W1F 0134%1060
W1F 792%761
W1F 8109%862
W1F 991%749
W1G 0276%2125
W1G 639%310
W1G 744%38
W1G 859%418
W1G 921%219
W1H 178%620
W1H 2184%1419
W1H 4100%718
W1H 598%723
W1H 647%411
W1H 7110%842
W1J 05%01
W1J 559%424
W1J 625%211
W1J 763%534
W1J 817%15
W1K 192%712
W1K 257%423
W1K 325%212
W1K 468%513
W1K 590%725
W1K 6137%1027
W1K 769%514
W1S 184%670
W1S 283%640
W1S 361%510
W1S 471%532
W1T 193%779
W1T 276%625
W1T 3132%1056
W1T 487%743
W1T 539%321
W1T 689%715
W1T 731%27
W1U 150%418
W1U 2123%928
W1U 356%420
W1U 4123%920
W1U 552%412
W1U 6165%1237
W1U 783%621
W1U 877%625
W1W 5142%1136
W1W 685%648
W1W 768%532
W1W 8138%1058
W2 1108%8166
W2 2175%1395
W2 3402%30201
W2 4338%25193
W2 5243%18161
W2 6107%8118
W3 0128%1077
W3 6104%8102
W3 7133%10128
W3 890%781
W3 9121%958
W4 1162%1296
W4 2129%1097
W4 3254%19149
W4 4197%1588
W4 597%791
W5 1173%13109
W5 2126%9108
W5 3173%13121
W5 4151%11107
W5 5123%975
W6 0160%12188
W6 788%778
W6 877%673
W6 9111%8122
W7 189%752
W7 282%640
W7 3122%976
W8 4126%959
W8 565%553
W8 6145%1175
W8 7101%850
W9 1207%15128
W9 2271%20173
W9 3151%11122
WC1A 1216%1638
WC1A 2134%1033
WC1B 344%330
WC1B 440%35
WC1B 5198%1528
WC1E 638%321
WC1E 768%529
WC1H 081%639
WC1H 8102%831
WC1H 995%766
WC1N 191%738
WC1N 261%520
WC1N 331%228
WC1R 427%215
WC1R 556%418
WC1V 697%723
WC1V 781%615
WC1X 0109%835
WC1X 870%529
WC1X 9182%1467
WC2A 126%28
WC2A 240%32
WC2A 343%324
WC2B 461%520
WC2B 550%459
WC2B 6441%3324
WC2E 730%229
WC2E 869%512
WC2E 976%638
WC2H 0104%817
WC2H 7203%1558
WC2H 8152%1155
WC2H 9101%872
WC2N 463%527
WC2N 59%18
WC2N 640%317
WC2R 070%512
WC2R 116%15
WC2R 259%43
WC2R 332%28

Inner London burglary crime rate rank

Inner London burglary crime rate rank

Inner London burglary crime rate compared to other areas

The total volume of burglary crime is 53.6k and has increased by 10.7% 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.

10.7%

annual change

9.5

annual crime rate per 1k workday people

53.6k

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

Inner London burglary crime rate

Annual crime rate per 1000 workday people

Inner London burglary crime rate

Inner London burglary crime seasonality

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

Inner London burglary 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