Stats | Crime

Bexley 019f

Local Individual Crime Rates, Insights & Crime Trends.

Crime rates and insights for Bexley 019f

The current crime rate in Bexley 019f is 61.7 per 1000 residents. This is 26 % below the national average of 83.5 crimes per 1000 residents which puts Bexley 019f in the top half of safest areas in the UK.

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Total Crimes (per 1k people)

Rank Area Name Crime Rate
18413South Oxfordshire 005B61.6
18414Babergh 003A61.6
18415Barking and Dagenham 003D61.7
18416Bexley 019F61.7
18417Haringey 009A61.7
18418Haringey 017A61.7
18419Havering 017I61.7
Anti-social behaviour icon

Anti-Social Behaviour

positive insight iconAnti-social behaviour in Bexley 019f is below the national average
Bicycle theft icon

Bicycle Theft

positive insight iconBicycle theft in Bexley 019f is below the national average
Burglary icon

Burglary

positive insight iconBurglary in Bexley 019f is below the national average
Criminal damage and arson icon

Criminal Damage & Arson

negative insight iconCriminal damage and arson in Bexley 019f is above the national average
Drug crimes icon

Drugs

positive insight iconDrugs in Bexley 019f is on par with the national average
Possession of weapons icon

Possession Of Weapons

positive insight iconPossession of weapons offences in Bexley 019f are below the national average
Public order icon

Public Order

positive insight iconPublic order in Bexley 019f are below the national average
Robbery icon

Robbery

positive insight iconRobbery offences in Bexley 019f is below the national average
Shoplifting icon

Shoplifting

positive insight iconShoplifting in Bexley 019f is below the national average
Theft from a person icon

Theft From A Person

positive insight iconTheft from a person in Bexley 019f is below the national average
Vehicle crime icon Vehicle Crime

positive insight iconVehicle crime in Bexley 019f is below the national average
Violence and sexual offences icon

Violence & Sexual Offences

positive insight iconViolence and sexual offences in Bexley 019f are below the national average

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