Total Crime Rate

24.1 per 1,000 2/10 Β· Very Low

All offences Β· Oct 2024 - Sep 2025
Latest update: 13.12.2025 Crime figures are sourced from data.police.uk and are typically published with a 3-month delay.
Crime rate per 1000 residents
  • All crimes 24.1 2/10
  • Violence and sexual offences 16.1 4/10
  • Anti-social behaviour 4.0 2/10
  • Criminal damage and arson 4.0 3/10
  • Bicycle theft 0.0 1/10
  • Burglary 0.0 1/10
  • Drugs 0.0 1/10
  • Other crime 0.0 1/10
  • Other theft 0.0 1/10
  • Possession of weapons 0.0 1/10
  • Public order 0.0 1/10
  • Robbery 0.0 1/10
  • Shoplifting 0.0 1/10
  • Theft from the person 0.0 1/10
  • Vehicle crime 0.0 1/10
Values shown per 1,000 residents Β· Oct 2024 - Sep 2025 Β· Rating compares this oa to UK peers of the same type.
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Crime overview

Seely Road area has the 7th lowest crime rate of 22 local areas in Graveney , and the 107th lowest crime rate of 592 local areas in Merton .

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 Seely Road (SW17 9QY) in the last 12 months was 24.1 per 1,000 residents and was 67.3% lower than the Graveney average (73.8 per 1,000 residents). In the last 12 months, this area’s most reported crimes were Violence and sexual offences with 4 offences recorded. The least common crime was Anti-social behaviour with 1 case , unchanged from 2024. The fastest-growing crime category was Violence and sexual offences ( 33.3% YoY). Other major crime categories were broadly unchanged compared to 2024.

Violent crimes totalled 4 (β‰ˆ 16.1 per 1,000 residents). Year-over-year these were rising ( 33.3% ). Over the last decade, overall crime has rising ( 65.4% comparing early vs recent averages) .

In the area around Seely Road (SW17 9QY), the main crime hotspot is near Park Avenue Mews. Police recorded 81 crimes here, including 29 violent or public-order offences. All these locations are within roughly 0.3 miles.

View Crime In Graveney

Crime Over Time in Seely Road area

MonthCrimeLocation*Last Outcome
Sep 2025Violence and sexual offences Frinton Road Under investigation
Sep 2025Anti-social behaviour Swain Close β€”
Sep 2025Other theft Park Avenue Mews Under investigation
Sep 2025Other theft Park Avenue Mews Under investigation
Sep 2025Public order Park Avenue Mews Unable to prosecute suspect
Sep 2025Vehicle crime Park Avenue Mews Investigation complete; no suspect identified
Sep 2025Drugs Salterford Road Unable to prosecute suspect
Sep 2025Anti-social behaviour Swain Close β€”
Sep 2025Anti-social behaviour Swain Close β€”
Sep 2025Anti-social behaviour Swain Close β€”
Sep 2025Burglary Woodland Way Investigation complete; no suspect identified
Sep 2025Public order Swain Close Under investigation
Sep 2025Violence and sexual offences Freshwater Road Investigation complete; no suspect identified
Sep 2025Violence and sexual offences Freshwater Road Action to be taken by another organisation
Sep 2025Anti-social behaviour Vectis Road β€”
Sep 2025Violence and sexual offences Welham Road Under investigation
Sep 2025Violence and sexual offences Welham Road Under investigation
Sep 2025Violence and sexual offences Welham Road Under investigation
Sep 2025Anti-social behaviour Links Road β€”
Sep 2025Other theft Woodland Way Investigation complete; no suspect identified
Sep 2025Other theft Park Avenue Mews Investigation complete; no suspect identified
Sep 2025Criminal damage and arson Ashbourne Road Investigation complete; no suspect identified
Sep 2025Violence and sexual offences Edenvale Road Under investigation
Sep 2025Anti-social behaviour Jersey Road β€”
Sep 2025Vehicle crime Deal Road Investigation complete; no suspect identified
Sep 2025Violence and sexual offences Milton Road Under investigation

Data Sources

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.