As of May 2026, the annual crime rate in West Midlands county county stands at 9 crimes per 1000 people. West Midlands county's current crime levels are at 125% of the national crime rate. Criminal damage and arson crime makes up 7.9% of all crimes reported in the county. Criminal damage and arson crime totalled 24.9k representing an increase 0.7% year-over-year.
| West Midlands county county | crime statistic | England & Wales |
|---|---|---|
| 9 | annual crime rate per 1k workday people | 7.2 |
| 125% | ratio of national crime rate | 100% |
| 7.9% | share of all crimes | 7.2% |
| 24.9k | crimes reported | 405k |
| 0.7% | annual change | -4.1% |
| Postcode sector | Crime rate vs. ENG & WLS rate | Crime rate per 1000 workday people | Total number of crimes | |
|---|---|---|---|---|
| B1 1 | 103% | 7 | 88 | |
| B1 2 | 134% | 10 | 95 | |
| B1 3 | 47% | 3 | 14 | |
| B10 0 | 142% | 10 | 114 | |
| B10 9 | 99% | 7 | 115 | |
| B11 1 | 141% | 10 | 122 | |
| B11 2 | 67% | 5 | 43 | |
| B11 3 | 118% | 9 | 123 | |
| B11 4 | 132% | 10 | 111 | |
| B12 0 | 247% | 18 | 130 | |
| B12 8 | 141% | 10 | 91 | |
| B12 9 | 210% | 15 | 121 | |
| B13 0 | 173% | 13 | 131 | |
| B13 8 | 139% | 10 | 78 | |
| B13 9 | 106% | 8 | 93 | |
| B14 4 | 173% | 13 | 119 | |
| B14 5 | 199% | 14 | 127 | |
| B14 6 | 138% | 10 | 85 | |
| B14 7 | 208% | 15 | 124 | |
| B15 1 | 74% | 5 | 45 | |
| B15 2 | 81% | 6 | 113 | |
| B15 3 | 36% | 3 | 26 | |
| B16 0 | 138% | 10 | 75 | |
| B16 8 | 80% | 6 | 80 | |
| B16 9 | 195% | 14 | 87 | |
| B17 0 | 140% | 10 | 69 | |
| B17 8 | 117% | 8 | 63 | |
| B17 9 | 84% | 6 | 41 | |
| B18 4 | 166% | 12 | 79 | |
| B18 5 | 154% | 11 | 71 | |
| B18 6 | 75% | 5 | 24 | |
| B18 7 | 71% | 5 | 43 | |
| B19 1 | 197% | 14 | 125 | |
| B19 2 | 121% | 9 | 73 | |
| B19 3 | 148% | 11 | 67 | |
| B2 4 | 186% | 13 | 108 | |
| B2 5 | 30% | 2 | 32 | |
| B20 1 | 83% | 6 | 33 | |
| B20 2 | 174% | 13 | 121 | |
| B20 3 | 167% | 12 | 156 | |
| B21 0 | 149% | 11 | 104 | |
| B21 8 | 120% | 9 | 63 | |
| B21 9 | 183% | 13 | 126 | |
| B23 5 | 180% | 13 | 154 | |
| B23 6 | 270% | 20 | 205 | |
| B23 7 | 196% | 14 | 178 | |
| B24 0 | 98% | 7 | 75 | |
| B24 8 | 150% | 11 | 96 | |
| B24 9 | 119% | 9 | 116 | |
| B25 8 | 155% | 11 | 178 | |
| B26 1 | 161% | 12 | 87 | |
| B26 2 | 128% | 9 | 74 | |
| B26 3 | 116% | 8 | 104 | |
| B27 6 | 152% | 11 | 101 | |
| B27 7 | 179% | 13 | 155 | |
| B28 0 | 103% | 7 | 75 | |
| B28 8 | 112% | 8 | 68 | |
| B28 9 | 107% | 8 | 46 | |
| B29 4 | 144% | 10 | 56 | |
| B29 5 | 199% | 14 | 115 | |
| B29 6 | 145% | 11 | 150 | |
| B29 7 | 108% | 8 | 78 | |
| B3 1 | 101% | 7 | 40 | |
| B3 2 | 64% | 5 | 36 | |
| B3 3 | 21% | 2 | 7 | |
| B30 1 | 129% | 9 | 88 | |
| B30 2 | 129% | 9 | 94 | |
| B30 3 | 105% | 8 | 68 | |
| B31 1 | 194% | 14 | 115 | |
| B31 2 | 162% | 12 | 138 | |
| B31 3 | 193% | 14 | 111 | |
| B31 4 | 162% | 12 | 83 | |
| B31 5 | 161% | 12 | 78 | |
| B32 1 | 137% | 10 | 78 | |
| B32 2 | 153% | 11 | 104 | |
| B32 3 | 185% | 13 | 144 | |
| B33 0 | 205% | 15 | 174 | |
| B33 8 | 270% | 20 | 206 | |
| B33 9 | 228% | 17 | 175 | |
| B34 6 | 176% | 13 | 102 | |
| B34 7 | 173% | 13 | 83 | |
| B35 6 | 163% | 12 | 42 | |
| B35 7 | 107% | 8 | 73 | |
| B36 0 | 183% | 13 | 130 | |
| B36 8 | 178% | 13 | 138 | |
| B36 9 | 146% | 11 | 67 | |
| B37 5 | 387% | 28 | 251 | |
| B37 6 | 242% | 17 | 161 | |
| B37 7 | 179% | 13 | 247 | |
| B38 8 | 125% | 9 | 73 | |
| B4 6 | 79% | 6 | 71 | |
| B4 7 | 92% | 7 | 84 | |
| B40 1 | 1294% | 94 | 78 | |
| B42 1 | 119% | 9 | 80 | |
| B42 2 | 70% | 5 | 78 | |
| B43 5 | 133% | 10 | 67 | |
| B43 6 | 76% | 5 | 28 | |
| B43 7 | 103% | 7 | 59 | |
| B44 0 | 197% | 14 | 182 | |
| B44 8 | 78% | 6 | 54 | |
| B44 9 | 145% | 10 | 104 | |
| B5 4 | 206% | 15 | 96 | |
| B5 5 | 164% | 12 | 54 | |
| B5 6 | 215% | 16 | 95 | |
| B5 7 | 99% | 7 | 107 | |
| B6 4 | 41% | 3 | 24 | |
| B6 5 | 66% | 5 | 35 | |
| B6 6 | 129% | 9 | 92 | |
| B6 7 | 321% | 23 | 145 | |
| B62 8 | 48% | 4 | 29 | |
| B62 9 | 65% | 5 | 35 | |
| B63 1 | 44% | 3 | 12 | |
| B63 2 | 114% | 8 | 77 | |
| B63 3 | 76% | 5 | 60 | |
| B63 4 | 120% | 9 | 74 | |
| B64 5 | 129% | 9 | 47 | |
| B64 6 | 132% | 10 | 68 | |
| B64 7 | 125% | 9 | 47 | |
| B65 0 | 140% | 10 | 69 | |
| B65 8 | 111% | 8 | 49 | |
| B65 9 | 114% | 8 | 56 | |
| B66 1 | 52% | 4 | 35 | |
| B66 2 | 205% | 15 | 60 | |
| B66 3 | 103% | 7 | 67 | |
| B66 4 | 188% | 14 | 103 | |
| B67 5 | 99% | 7 | 44 | |
| B67 6 | 146% | 11 | 81 | |
| B67 7 | 121% | 9 | 62 | |
| B68 0 | 113% | 8 | 54 | |
| B68 8 | 110% | 8 | 63 | |
| B68 9 | 119% | 9 | 78 | |
| B69 1 | 115% | 8 | 88 | |
| B69 2 | 44% | 3 | 34 | |
| B69 3 | 102% | 7 | 36 | |
| B69 4 | 98% | 7 | 68 | |
| B7 4 | 109% | 8 | 69 | |
| B7 5 | 107% | 8 | 62 | |
| B70 0 | 93% | 7 | 83 | |
| B70 6 | 114% | 8 | 79 | |
| B70 7 | 336% | 24 | 142 | |
| B70 8 | 113% | 8 | 55 | |
| B70 9 | 99% | 7 | 71 | |
| B71 1 | 121% | 9 | 65 | |
| B71 2 | 128% | 9 | 71 | |
| B71 3 | 173% | 13 | 77 | |
| B71 4 | 104% | 8 | 53 | |
| B72 1 | 84% | 6 | 58 | |
| B73 5 | 73% | 5 | 53 | |
| B73 6 | 88% | 6 | 67 | |
| B74 2 | 46% | 3 | 27 | |
| B74 3 | 25% | 2 | 14 | |
| B74 4 | 58% | 4 | 36 | |
| B75 6 | 46% | 3 | 29 | |
| B75 7 | 115% | 8 | 77 | |
| B76 1 | 62% | 4 | 45 | |
| B76 2 | 56% | 4 | 17 | |
| B76 9 | 70% | 5 | 29 | |
| B8 1 | 103% | 7 | 98 | |
| B8 2 | 132% | 10 | 142 | |
| B8 3 | 92% | 7 | 92 | |
| B9 4 | 135% | 10 | 84 | |
| B9 5 | 131% | 9 | 242 | |
| B90 1 | 94% | 7 | 46 | |
| B90 2 | 68% | 5 | 44 | |
| B90 3 | 78% | 6 | 54 | |
| B90 4 | 58% | 4 | 65 | |
| B90 8 | 1007% | 73 | 7 | |
| B91 1 | 44% | 3 | 32 | |
| B91 2 | 45% | 3 | 54 | |
| B91 3 | 71% | 5 | 104 | |
| B92 0 | 45% | 3 | 28 | |
| B92 7 | 67% | 5 | 43 | |
| B92 8 | 76% | 6 | 65 | |
| B92 9 | 88% | 6 | 34 | |
| B93 0 | 87% | 6 | 26 | |
| B93 8 | 81% | 6 | 33 | |
| B93 9 | 28% | 2 | 12 | |
| B94 6 | 50% | 4 | 19 | |
| CV1 1 | 189% | 14 | 113 | |
| CV1 2 | 104% | 8 | 116 | |
| CV1 3 | 134% | 10 | 69 | |
| CV1 4 | 110% | 8 | 93 | |
| CV1 5 | 150% | 11 | 146 | |
| CV2 1 | 220% | 16 | 171 | |
| CV2 2 | 92% | 7 | 155 | |
| CV2 3 | 132% | 10 | 82 | |
| CV2 4 | 182% | 13 | 144 | |
| CV2 5 | 84% | 6 | 54 | |
| CV3 1 | 212% | 15 | 119 | |
| CV3 2 | 69% | 5 | 85 | |
| CV3 3 | 288% | 21 | 147 | |
| CV3 4 | 65% | 5 | 46 | |
| CV3 5 | 109% | 8 | 71 | |
| CV3 6 | 62% | 4 | 43 | |
| CV4 7 | 32% | 2 | 31 | |
| CV4 8 | 61% | 4 | 69 | |
| CV4 9 | 148% | 11 | 161 | |
| CV5 6 | 76% | 5 | 59 | |
| CV5 7 | 46% | 3 | 30 | |
| CV5 8 | 104% | 8 | 64 | |
| CV5 9 | 63% | 5 | 39 | |
| CV6 1 | 86% | 6 | 57 | |
| CV6 2 | 103% | 7 | 70 | |
| CV6 3 | 92% | 7 | 52 | |
| CV6 4 | 138% | 10 | 109 | |
| CV6 5 | 153% | 11 | 167 | |
| CV6 6 | 159% | 11 | 125 | |
| CV6 7 | 140% | 10 | 98 | |
| CV7 7 | 62% | 4 | 44 | |
| DY1 1 | 190% | 14 | 72 | |
| DY1 2 | 131% | 9 | 149 | |
| DY1 3 | 108% | 8 | 74 | |
| DY1 4 | 189% | 14 | 109 | |
| DY2 0 | 85% | 6 | 72 | |
| DY2 7 | 166% | 12 | 95 | |
| DY2 8 | 118% | 9 | 69 | |
| DY2 9 | 126% | 9 | 74 | |
| DY3 1 | 150% | 11 | 86 | |
| DY3 2 | 141% | 10 | 85 | |
| DY3 3 | 62% | 4 | 34 | |
| DY4 0 | 147% | 11 | 138 | |
| DY4 7 | 107% | 8 | 72 | |
| DY4 8 | 175% | 13 | 114 | |
| DY4 9 | 207% | 15 | 119 | |
| DY5 1 | 101% | 7 | 110 | |
| DY5 2 | 95% | 7 | 78 | |
| DY5 3 | 104% | 8 | 99 | |
| DY5 4 | 158% | 11 | 74 | |
| DY6 0 | 64% | 5 | 14 | |
| DY6 7 | 88% | 6 | 41 | |
| DY6 8 | 56% | 4 | 44 | |
| DY6 9 | 32% | 2 | 16 | |
| DY8 1 | 104% | 8 | 70 | |
| DY8 2 | 43% | 3 | 15 | |
| DY8 3 | 50% | 4 | 30 | |
| DY8 4 | 49% | 4 | 37 | |
| DY8 5 | 75% | 5 | 49 | |
| DY9 7 | 91% | 7 | 34 | |
| DY9 8 | 135% | 10 | 68 | |
| WS1 1 | 113% | 8 | 67 | |
| WS1 2 | 143% | 10 | 85 | |
| WS1 3 | 135% | 10 | 99 | |
| WS1 4 | 133% | 10 | 89 | |
| WS10 0 | 167% | 12 | 141 | |
| WS10 7 | 141% | 10 | 99 | |
| WS10 8 | 198% | 14 | 172 | |
| WS10 9 | 111% | 8 | 106 | |
| WS2 0 | 278% | 20 | 144 | |
| WS2 7 | 139% | 10 | 131 | |
| WS2 8 | 161% | 12 | 161 | |
| WS2 9 | 131% | 10 | 144 | |
| WS3 1 | 236% | 17 | 184 | |
| WS3 2 | 217% | 16 | 185 | |
| WS3 3 | 199% | 14 | 151 | |
| WS3 4 | 90% | 7 | 41 | |
| WS4 1 | 157% | 11 | 115 | |
| WS4 2 | 115% | 8 | 32 | |
| WS5 3 | 27% | 2 | 12 | |
| WS5 4 | 125% | 9 | 81 | |
| WS8 6 | 202% | 15 | 94 | |
| WS8 7 | 139% | 10 | 89 | |
| WS9 0 | 73% | 5 | 44 | |
| WS9 8 | 74% | 5 | 69 | |
| WS9 9 | 142% | 10 | 64 | |
| WV1 1 | 114% | 8 | 77 | |
| WV1 2 | 145% | 10 | 96 | |
| WV1 3 | 159% | 12 | 49 | |
| WV1 4 | 101% | 7 | 54 | |
| WV10 0 | 89% | 6 | 113 | |
| WV10 6 | 86% | 6 | 81 | |
| WV10 8 | 161% | 12 | 111 | |
| WV10 9 | 200% | 14 | 177 | |
| WV11 1 | 185% | 13 | 144 | |
| WV11 3 | 85% | 6 | 71 | |
| WV12 4 | 121% | 9 | 75 | |
| WV12 5 | 122% | 9 | 93 | |
| WV13 1 | 200% | 15 | 90 | |
| WV13 2 | 226% | 16 | 147 | |
| WV13 3 | 126% | 9 | 69 | |
| WV14 0 | 160% | 12 | 109 | |
| WV14 6 | 116% | 8 | 69 | |
| WV14 7 | 243% | 18 | 73 | |
| WV14 8 | 157% | 11 | 132 | |
| WV14 9 | 157% | 11 | 114 | |
| WV2 1 | 153% | 11 | 45 | |
| WV2 2 | 107% | 8 | 47 | |
| WV2 3 | 140% | 10 | 51 | |
| WV2 4 | 100% | 7 | 50 | |
| WV3 0 | 108% | 8 | 75 | |
| WV3 7 | 124% | 9 | 50 | |
| WV3 8 | 45% | 3 | 15 | |
| WV3 9 | 108% | 8 | 59 | |
| WV4 4 | 103% | 7 | 68 | |
| WV4 5 | 98% | 7 | 57 | |
| WV4 6 | 110% | 8 | 73 | |
| WV6 0 | 116% | 8 | 100 | |
| WV6 8 | 47% | 3 | 30 | |
| WV6 9 | 73% | 5 | 30 | |
Crime rate ranking : West Midlands county county has the 11. highest crime rate out of 54 counties
Criminal damage and arson crime totalled 24.9k representing an increase 0.7% year-over-year. In the graph below, county are compared by crime rate and crime rate percentage change. Crime rate percentage change compares the county crime rate between May 2025 - April 2026 to the county crime rate in the previous 12 months. The size of the circle reflects the number of total crimes reported. The bigger the circle, the higher the number of crimes reported in the county.
+0.7% annual change, crime is increasing
24.9k crimes reported
Crime rate percentage changeNumber of crime incidents by month from January 2014 to April 2026.
Crime rate per 1000 workday people compared to the national crime rate by year.
Total number of crimes reported in a given calendar month (1 = January … 12 = December) in the previous five years, i.e. from 2020 till 2024.
For details, click on the crime name with '→'
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