Leeds: Crackdown on drugs and stolen goods market

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A major crackdown on the trade in stolen goods has seen police in Leeds swoop on 30 addresses and arrest 10 people.

As part of a Leeds city-wide purge ‘Operation Bullseye’ saw officers move against those thought to be dealing in the proceeds of burglaries and car crime after tip-offs from local communities.

The operation was part of the Leeds Burglary Reduction Strategy, which only has received an additional £1.3m funding.

Search warrants were executed at properties across the city, including Armley, Beeston, Holbeck, Tingley and the city centre.

At one address officers recovered a suspected stolen computer and arrested two men on suspicion of handling stolen goods. Both were later bailed pending further enquiries.

A woman was arrested on suspicion of cultivation of cannabis when officers discovered a cannabis growing set-up when they raided another address.

Two men and a woman were arrested in Armley on suspicion of possessing amphetamine with intent to supply. A large quantity of suspected amphetamine, estimated to be worth about £2,500, was recovered along with £1,300 in cash.

The three were later released on police bail pending forensic examination of the substance.

Officers arrested a man for possessing a CS gas canister when they executed a warrant in Beeston and he was charged with the offence.

A woman was charged with possessing amphetamine with intent to supply after she was arrested following a search of a Tingley property.

A man was charged with possession of cannabis after he was arrested by officers who executed a warrant at an address in Holbeck.

Another man was arrested for being drunk and disorderly by officers executing a warrant in the city.

Det Insp John Dexter said: “The trade in stolen goods is fuelled by burglary. Tackling this illegal market is a key area to reducing burglary across the city. I urge people to keep information coming by contacting Crimestoppers on 0800 555 111.”

West Yorkshire Police are piloting a predictive policing algorithm designed by University College London academics.

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