Total Crime Rate
34.3 per 1,000
All offences · Oct 2024 - Sep 2025Thresher Close area has the 6th lowest crime rate of 29 local areas in Lewsey , and the 140th lowest crime rate of 583 local areas in Luton .
Neighbouring streets tend to have noticeably higher crime levels than this postcode. Crime here is lower than the average for the surrounding output areas.
The overall crime rate in the area around Thresher Close (LU4 0TX) in the last 12 months was 34.3 per 1,000 residents and was 41.1% lower than the Lewsey average (58.2 per 1,000 residents). In the last 12 months, this area’s most reported crimes were Violence and sexual offences with 5 offences recorded. The least common crime was Criminal damage and arson with 1 case , unchanged from 2024. The fastest-growing crime category was Violence and sexual offences ( 150.0% YoY). The sharpest decline was Vehicle crime ( -75.0% YoY).
Violent crimes totalled 5 (≈ 15.6 per 1,000 residents). Year-over-year these were rising ( 25.0% ). Over the last decade, overall crime has falling ( -57.1% comparing early vs recent averages) .
In the area around Thresher Close (LU4 0TX), the highest concentration of overall crime is near Supermarket, where police recorded 26 incidents. Violent and public-order offences occur most often near St Kilda Road (14 offences). Both locations lie within roughly 0.3 miles of this postcode area.
View Crime In Lewsey| Month | Crime | Location* | Last Outcome |
|---|---|---|---|
| Sep 2025 | Vehicle crime | Supermarket | Investigation complete; no suspect identified |
| Sep 2025 | Drugs | Fenwick Road | Offender given a caution |
| Sep 2025 | Anti-social behaviour | Supermarket | — |
| Sep 2025 | Anti-social behaviour | Paddock Close | — |
| Sep 2025 | Anti-social behaviour | Gelding Close | — |
| Sep 2025 | Anti-social behaviour | Tomlinson Avenue | — |
| Sep 2025 | Anti-social behaviour | Gelding Close | — |
| Sep 2025 | Drugs | St Kilda Road | Investigation complete; no suspect identified |
StreetScan crime figures are based on official UK open data:
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