Total Crime Rate
28.8 per 1,000
All offences · Oct 2024 - Sep 2025Dysart Avenue area has the 30th lowest crime rate of 80 local areas in Canbury Gardens , and the 141st lowest crime rate of 475 local areas in Kingston upon Thames .
Compared with the surrounding streets, this postcode does not stand out as either a particular hotspot or an unusually safe pocket. Crime levels in the neighbouring output areas are broadly in line with this area.
The overall crime rate in the area around Dysart Avenue (KT2 5QZ) in the last 12 months was 28.8 per 1,000 residents and was 66.5% lower than the Canbury Gardens average (85.9 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 Public order with 1 case , unchanged from 2024. The fastest-growing crime category was Drugs ( 100.0% YoY). Other major crime categories were broadly unchanged compared to 2024.
Violent crimes totalled 1 (≈ 3.6 per 1,000 residents). Year-over-year these were falling ( -75.0% ). Over the last decade, overall crime has falling ( -19.0% comparing early vs recent averages) .
In the area around Dysart Avenue (KT2 5QZ), the highest concentration of overall crime is near Langham House Close, where police recorded 15 incidents. Violent and public-order offences occur most often near Butlers Farm Close (7 offences). Both locations lie within roughly 0.3 miles of this postcode area.
View Crime In Canbury Gardens| Month | Crime | Location* | Last Outcome |
|---|---|---|---|
| Sep 2025 | Violence and sexual offences | Fanshawe Road | Under investigation |
| Sep 2025 | Violence and sexual offences | Fanshawe Road | Under investigation |
| Sep 2025 | Violence and sexual offences | Dukes Avenue | Under investigation |
| Sep 2025 | Burglary | Langham House Close | 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.