Police have issued CCTV images after an assault in Harrogate left a teenager in hospital.
It happened on Harrogate’s Cambridge Street at around 6:50pm on Wednesday 11th December 2024.
The victim attended hospital for treatment.
The man is described as around 5ft 11in tall, short black hair on the sides with a goatee beard.
He was wearing a black t-shirt with a long sleeved black top underneath and jeans.
He was also wearing a purple apron and a backwards cap. He has a distinctive tattoo on his right forearm.
A police spokesperson said:
“If you know the man or know where we can find him, please email Joseph.Paxton@northyorkshire.police.uk or call North Yorkshire Police on 101, select option 2, and ask for Joseph Paxton.
“Alternatively, call Crimestoppers anonymously on 0800 555 11 or make a report via their website.”
Please quote reference 12240226362 when passing information.

Harrogate care home donates £1,000 to charity battling loneliness
Builders unearth medieval well in Ripon city centre
Knaresborough teacher to run London Marathon in aid of Henshaws
Drugs seized and two arrested in Knaresborough
Spiegeltent returns to Harrogate for summer extravaganza
Starbeck festival set to return for third year
Police appeal to locate Harrogate fuel thief
Harrogate MP set to take on London Marathon in aid of colitis charity
Expansion could add £17m to northern economy, says Harrogate Spring Water
New café to open in place of Hoxton North this week
Ripon vintage tractor run to return this weekend
Ladies lunch event raises £25,000 for Yorkshire children's hospice
Yorkshire Baby & Toddler Show Returns
Lightwater Valley officially opens 'epic' new rollercoaster
Three Harrogate boxers scoop medals at international tournament
Harrogate woman's stroke at 37 inspires fundraising drive for vital charity
Harrogate MP calls for bus and rail fares to be slashed
Kittens with rare condition 'thriving' after community donates £1,000
Weather warning for strong winds issued ahead of Easter weekend
North Yorkshire Police to roll out facial recognition technology


