Total Crime Rate
60.2 per 1,000
All offences · Oct 2024 - Sep 2025West Marsh Close area has the 4th lowest crime rate of 28 local areas in West Marsh , and the 220th lowest crime rate of 525 local areas in North East Lincolnshire .
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 West Marsh Close (DN31 2FF) in the last 12 months was 60.2 per 1,000 residents and was 84.7% lower than the West Marsh average (394.8 per 1,000 residents). In the last 12 months, this area’s most reported crimes were Violence and sexual offences with 7 offences recorded. The least common crime was Robbery with 1 case , up 100.0% compared to 2024. The fastest-growing crime category was Burglary ( 400.0% YoY). The sharpest decline was Other theft ( -50.0% YoY).
Violent crimes totalled 10 (≈ 24.1 per 1,000 residents). Year-over-year these were falling ( -33.3% ). Over the last decade, overall crime has falling ( -19.3% comparing early vs recent averages) .
In the area around West Marsh Close (DN31 2FF), the highest concentration of overall crime is near Naseby Drive, where police recorded 15 incidents. Violent and public-order offences occur most often near Spring Bank (9 offences). Both locations lie within roughly 0.3 miles of this postcode area.
View Crime In West Marsh| Month | Crime | Location* | Last Outcome |
|---|---|---|---|
| Sep 2025 | Violence and sexual offences | Bowers Court | Investigation complete; no suspect identified |
| Sep 2025 | Violence and sexual offences | Lombard Street | Under investigation |
| Sep 2025 | Violence and sexual offences | Lombard Street | Under investigation |
| Sep 2025 | Violence and sexual offences | Douglas Avenue | Unable to prosecute suspect |
| Sep 2025 | Criminal damage and arson | West Marsh Close | Investigation complete; no suspect identified |
StreetScan crime figures are based on official UK open data:
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