Total Crime Rate
77.5 per 1,000
All offences · Oct 2024 - Sep 2025Wood Lea area has the 10th highest crime rate of 24 local areas in Dinnington , and the 392nd highest crime rate of 870 local areas in Rotherham .
This postcode forms a relatively safe pocket compared with the surrounding streets. Neighbouring areas record much higher crime levels, even though this postcode itself remains comparatively low-crime.
The overall crime rate in the area around Wood Lea (S66 8NN) in the last 12 months was 77.5 per 1,000 residents and was 31.3% lower than the Dinnington average (112.9 per 1,000 residents). In the last 12 months, this area’s most reported crimes were Anti-social behaviour with 5 offences recorded. The least common crime was Other theft with 1 case , up 100.0% compared to 2024. The fastest-growing crime category was Other theft ( 100.0% YoY). The sharpest decline was Vehicle crime ( -50.0% YoY).
Violent crimes totalled 3 (≈ 23.3 per 1,000 residents). Year-over-year these were falling ( -25.0% ). Over the last decade, overall crime has rising ( 21.4% comparing early vs recent averages) .
In the area around Wood Lea (S66 8NN), the main crime hotspot is near Parking Area. Police recorded 23 crimes here, including 12 violent or public-order offences. All these locations are within roughly 0.3 miles.
View Crime In Dinnington| Month | Crime | Location* | Last Outcome |
|---|---|---|---|
| Sep 2025 | Violence and sexual offences | Hayhurst Crescent | Unable to prosecute suspect |
| Sep 2025 | Violence and sexual offences | Hayhurst Crescent | Unable to prosecute suspect |
| Sep 2025 | Criminal damage and arson | Queen Mary Street | Investigation complete; no suspect identified |
| Sep 2025 | Other crime | Queen Mary Street | Unable to prosecute suspect |
| Sep 2025 | Violence and sexual offences | Adelaide Street | Investigation complete; no suspect identified |
StreetScan crime figures are based on official UK open data:
Contains public sector information licensed under the Open Government Licence v3.0. © Crown copyright and database right.