Total Crime Rate
47.9 per 1,000
All offences · Oct 2024 - Sep 2025Pilgrims Way area has the 10th lowest crime rate of 64 local areas in Buckland , and the 158th lowest crime rate of 365 local areas in Dover .
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 Pilgrims Way (CT16 2DQ) in the last 12 months was 47.9 per 1,000 residents and was 53.3% lower than the Buckland average (102.4 per 1,000 residents). In the last 12 months, this area’s most reported crimes were Violence and sexual offences with 8 offences recorded. The least common crime was Anti-social behaviour with 1 case , down -50.0% compared to 2024. The fastest-growing crime category was Other crime ( 100.0% YoY). The sharpest decline was Anti-social behaviour ( -50.0% YoY).
Violent crimes totalled 11 (≈ 31.0 per 1,000 residents). Year-over-year these were falling ( -26.7% ). Over the last decade, overall crime has falling ( -71.3% comparing early vs recent averages) .
In the area around Pilgrims Way (CT16 2DQ), the main crime hotspot is near Friars Way. Police recorded 10 crimes here, including 7 violent or public-order offences. All these locations are within roughly 0.3 miles.
View Crime In Buckland| Month | Crime | Location* | Last Outcome |
|---|---|---|---|
| Sep 2025 | Anti-social behaviour | Carlsden Close | — |
| Sep 2025 | Violence and sexual offences | Crabble Road | Unable to prosecute suspect |
| Sep 2025 | Violence and sexual offences | Crabble Road | Under investigation |
| Sep 2025 | Violence and sexual offences | Carlsden Close | Unable to prosecute suspect |
| Sep 2025 | Violence and sexual offences | Monks Way | Under investigation |
| Sep 2025 | Anti-social behaviour | Carlsden Close | — |
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.