Total Crime Rate
144.2 per 1,000
All offences · May 2025 - Apr 2026Violent Crime Rate
41.9 per 1,000
May 2025 - Apr 2026Rookery Close area has the 5th highest crime rate of 67 local areas in Headless Cross & Oakenshaw , and the 35th highest crime rate of 260 local areas in Redditch .
Crime levels at this postcode are much higher than in the adjoining streets, suggesting that most neighbouring areas are relatively safer than this one.
The overall crime rate in the area around Rookery Close (B97 4LP) in the last 12 months was 144.2 per 1,000 residents and was 94.1% higher than the Headless Cross & Oakenshaw average (74.3 per 1,000 residents). In the last 12 months, this area’s most reported crimes were Violence and sexual offences with 9 offences recorded. The least common crime was Shoplifting with 1 case , unchanged from 2025. The fastest-growing crime category was Burglary ( 100.0% YoY). The sharpest decline was Anti-social behaviour ( -20.0% YoY).
Violent crimes totalled 9 (≈ 41.9 per 1,000 residents). Year-over-year these were falling ( -10.0% ). Over the last decade, overall crime has falling ( -58.9% comparing early vs recent averages) .
In the area around Rookery Close (B97 4LP), the main crime hotspot is near Parking Area. Police recorded 31 crimes here, including 16 violent or public-order offences. All these locations are within roughly 0.3 miles.
View Crime In Redditch| Month | Crime | Location* | Last Outcome |
|---|---|---|---|
| Apr 2026 | Violence and sexual offences | Highfield Road | Unable to prosecute suspect |
| Apr 2026 | Violence and sexual offences | Highfield Avenue | Under investigation |
| Apr 2026 | Public order | Highfield Avenue | Unable to prosecute suspect |
| Apr 2026 | Violence and sexual offences | Stonehouse Close | Under investigation |
| Apr 2026 | Violence and sexual offences | Highfield Road | Unable to prosecute suspect |
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.