As of April 2026, the annual crime rate in Tyne and Wear county stands at 9.7 crimes per 1000 people. Tyne and Wear's current crime levels are at 134% of the national crime rate. Criminal damage and arson crime makes up 8.7% of all crimes reported in the county. Criminal damage and arson crime totalled 11.5k representing a decrease 14% year-over-year.
| Tyne and Wear county | crime statistic | England & Wales |
|---|---|---|
| 9.7 | annual crime rate per 1k workday people | 7.2 |
| 134% | ratio of national crime rate | 100% |
| 8.7% | share of all crimes | 7.2% |
| 11.5k | crimes reported | 406k |
| -14.0% | annual change | -4.2% |
| Postcode sector | Crime rate vs. ENG & WLS rate | Crime rate per 1000 workday people | Total number of crimes | |
|---|---|---|---|---|
| DH2 1 | 228% | 17 | 117 | |
| DH3 1 | 118% | 9 | 52 | |
| DH3 2 | 98% | 7 | 55 | |
| DH4 4 | 149% | 11 | 72 | |
| DH4 5 | 117% | 9 | 47 | |
| DH4 6 | 174% | 13 | 93 | |
| DH4 7 | 131% | 9 | 63 | |
| DH5 0 | 245% | 18 | 105 | |
| DH5 8 | 201% | 15 | 65 | |
| DH5 9 | 120% | 9 | 69 | |
| DH9 0 | 253% | 18 | 101 | |
| NE1 1 | 74% | 5 | 41 | |
| NE1 2 | 84% | 6 | 43 | |
| NE1 3 | 146% | 11 | 66 | |
| NE1 4 | 51% | 4 | 62 | |
| NE1 5 | 132% | 10 | 64 | |
| NE1 6 | 104% | 8 | 29 | |
| NE1 7 | 81% | 6 | 31 | |
| NE1 8 | 69% | 5 | 38 | |
| NE10 0 | 138% | 10 | 100 | |
| NE10 8 | 169% | 12 | 156 | |
| NE10 9 | 150% | 11 | 85 | |
| NE11 0 | 31% | 2 | 25 | |
| NE11 9 | 142% | 10 | 113 | |
| NE12 5 | 90% | 6 | 16 | |
| NE12 6 | 80% | 6 | 49 | |
| NE12 7 | 50% | 4 | 26 | |
| NE12 8 | 78% | 6 | 68 | |
| NE12 9 | 177% | 13 | 101 | |
| NE13 6 | 55% | 4 | 21 | |
| NE13 7 | 105% | 8 | 37 | |
| NE13 8 | 70% | 5 | 14 | |
| NE13 9 | 79% | 6 | 13 | |
| NE15 6 | 173% | 13 | 100 | |
| NE15 7 | 111% | 8 | 56 | |
| NE15 8 | 166% | 12 | 95 | |
| NE15 9 | 164% | 12 | 64 | |
| NE16 3 | 59% | 4 | 39 | |
| NE16 4 | 60% | 4 | 31 | |
| NE16 5 | 64% | 5 | 36 | |
| NE16 6 | 84% | 6 | 25 | |
| NE17 7 | 179% | 13 | 47 | |
| NE2 1 | 87% | 6 | 64 | |
| NE2 2 | 46% | 3 | 22 | |
| NE2 3 | 45% | 3 | 20 | |
| NE2 4 | 42% | 3 | 24 | |
| NE20 9 | 57% | 4 | 39 | |
| NE21 4 | 137% | 10 | 45 | |
| NE21 5 | 165% | 12 | 73 | |
| NE21 6 | 139% | 10 | 50 | |
| NE23 7 | 105% | 8 | 66 | |
| NE25 0 | 112% | 8 | 58 | |
| NE25 8 | 96% | 7 | 47 | |
| NE25 9 | 48% | 4 | 28 | |
| NE26 1 | 118% | 9 | 34 | |
| NE26 2 | 138% | 10 | 41 | |
| NE26 3 | 36% | 3 | 11 | |
| NE26 4 | 98% | 7 | 22 | |
| NE27 0 | 110% | 8 | 114 | |
| NE28 0 | 199% | 14 | 94 | |
| NE28 6 | 226% | 16 | 108 | |
| NE28 7 | 181% | 13 | 84 | |
| NE28 8 | 170% | 12 | 80 | |
| NE28 9 | 184% | 13 | 119 | |
| NE29 0 | 79% | 6 | 33 | |
| NE29 6 | 308% | 22 | 194 | |
| NE29 7 | 212% | 15 | 131 | |
| NE29 8 | 77% | 6 | 89 | |
| NE29 9 | 42% | 3 | 19 | |
| NE3 1 | 36% | 3 | 47 | |
| NE3 2 | 88% | 6 | 73 | |
| NE3 3 | 112% | 8 | 97 | |
| NE3 4 | 48% | 3 | 30 | |
| NE3 5 | 40% | 3 | 20 | |
| NE30 1 | 75% | 5 | 16 | |
| NE30 2 | 115% | 8 | 40 | |
| NE30 3 | 51% | 4 | 20 | |
| NE30 4 | 179% | 13 | 51 | |
| NE31 1 | 126% | 9 | 86 | |
| NE31 2 | 227% | 16 | 135 | |
| NE32 3 | 140% | 10 | 89 | |
| NE32 4 | 199% | 14 | 101 | |
| NE32 5 | 151% | 11 | 79 | |
| NE33 1 | 137% | 10 | 57 | |
| NE33 2 | 181% | 13 | 99 | |
| NE33 3 | 102% | 7 | 41 | |
| NE33 4 | 230% | 17 | 132 | |
| NE33 5 | 239% | 17 | 80 | |
| NE34 0 | 135% | 10 | 97 | |
| NE34 6 | 99% | 7 | 48 | |
| NE34 7 | 205% | 15 | 123 | |
| NE34 8 | 246% | 18 | 127 | |
| NE34 9 | 258% | 19 | 180 | |
| NE35 9 | 113% | 8 | 46 | |
| NE36 0 | 61% | 4 | 34 | |
| NE37 1 | 78% | 6 | 49 | |
| NE37 2 | 232% | 17 | 122 | |
| NE37 3 | 71% | 5 | 58 | |
| NE38 0 | 173% | 13 | 86 | |
| NE38 7 | 96% | 7 | 73 | |
| NE38 8 | 69% | 5 | 54 | |
| NE38 9 | 67% | 5 | 20 | |
| NE39 1 | 91% | 7 | 21 | |
| NE39 2 | 98% | 7 | 24 | |
| NE4 5 | 155% | 11 | 94 | |
| NE4 6 | 146% | 11 | 96 | |
| NE4 7 | 110% | 8 | 71 | |
| NE4 8 | 236% | 17 | 137 | |
| NE4 9 | 148% | 11 | 117 | |
| NE40 3 | 171% | 12 | 73 | |
| NE40 4 | 89% | 6 | 32 | |
| NE41 8 | 38% | 3 | 5 | |
| NE42 5 | 120% | 9 | 54 | |
| NE5 1 | 80% | 6 | 35 | |
| NE5 2 | 231% | 17 | 192 | |
| NE5 3 | 217% | 16 | 126 | |
| NE5 4 | 177% | 13 | 91 | |
| NE5 5 | 136% | 10 | 46 | |
| NE6 1 | 230% | 17 | 93 | |
| NE6 2 | 230% | 17 | 218 | |
| NE6 3 | 272% | 20 | 160 | |
| NE6 4 | 224% | 16 | 168 | |
| NE6 5 | 145% | 10 | 113 | |
| NE7 7 | 71% | 5 | 75 | |
| NE8 1 | 140% | 10 | 109 | |
| NE8 2 | 166% | 12 | 81 | |
| NE8 3 | 216% | 16 | 149 | |
| NE8 4 | 84% | 6 | 110 | |
| NE9 5 | 108% | 8 | 64 | |
| NE9 6 | 117% | 8 | 121 | |
| NE9 7 | 234% | 17 | 148 | |
| SR1 1 | 93% | 7 | 38 | |
| SR1 2 | 168% | 12 | 50 | |
| SR1 3 | 146% | 11 | 75 | |
| SR2 0 | 190% | 14 | 103 | |
| SR2 7 | 126% | 9 | 87 | |
| SR2 8 | 273% | 20 | 118 | |
| SR2 9 | 82% | 6 | 46 | |
| SR3 1 | 199% | 14 | 130 | |
| SR3 2 | 76% | 5 | 47 | |
| SR3 3 | 65% | 5 | 60 | |
| SR3 4 | 232% | 17 | 99 | |
| SR4 0 | 175% | 13 | 80 | |
| SR4 6 | 114% | 8 | 99 | |
| SR4 7 | 121% | 9 | 91 | |
| SR4 8 | 200% | 15 | 95 | |
| SR4 9 | 189% | 14 | 72 | |
| SR5 1 | 175% | 13 | 71 | |
| SR5 2 | 214% | 15 | 135 | |
| SR5 3 | 113% | 8 | 102 | |
| SR5 4 | 249% | 18 | 82 | |
| SR5 5 | 341% | 25 | 168 | |
| SR6 0 | 206% | 15 | 85 | |
| SR6 7 | 70% | 5 | 36 | |
| SR6 8 | 65% | 5 | 23 | |
| SR6 9 | 81% | 6 | 37 | |
| SR7 0 | 101% | 7 | 39 | |
Crime rate ranking : Tyne and Wear county has the 5. highest crime rate out of 54 counties
Criminal damage and arson crime totalled 11.5k representing a decrease 14% 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.
-14.0% annual change, crime is declining
11.5k 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.
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