New data reveals where in Aylesbury has been hit hardest by coronavirus

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Data showing deaths with coronavirus by local area, including 24 regions of Aylesbury Vale, was released for the first time at the end of last week.

The figures from the Office of National Statistics (ONS) divide England and Wales into 7,200 areas.

The numbers reveal that there have been 45 deaths in Aylesbury Vale between 1 March and 17 April where coronavirus was the underlying cause or was mentioned on the death certificate as a contributory factor.

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Drilling further into the data shows that sadly Haddenham, Dinton and Stone is the worst affected area in Aylesbury Vale, suffering nine deaths.

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Adjacent to it, Fairford Leys is the next worst affected area, with five fatalities over the 48 day period.

Stoke Mandeville and Aston Clinton has also had four deaths from the disease that is causing such devastation across the entire globe.

Aylesbury town centre has had two deaths, as has Bedgrove and Walton, while Victoria Park, Watermead and Elmhurst, California and Southcourt, and Berryfields and Haydon Hill have all happily recorded no deaths.

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In other areas neighbouring central Aylesbury there have been three deaths in Mandeville and Elm Farm and one in Gatehouse.

Looking further afield, two people have died with coronavirus in Buckingham South, Maids Moreton and Akeley, and three people have died with the disease in both Princes Risborough, and Wycombe Town Centre and Marlow Hill.

Councillor Gareth Williams, Buckinghamshire Council Cabinet Member for Communities and Public Health said: “Any death is a tragedy and we express our sincere condolences to those families who have lost loved ones as a result of covid-19. National data shows this disease has affected every town and community across the UK and Buckinghamshire is no exception. Of course, such localised data should always be viewed within the context of the wider picture before drawing any conclusions.

“As the government begins to introduce its track and trace technology to help contain and control the spread of covid-19, such localised data will be invaluable in helping to keep on top of outbreaks of the disease at a local level and we welcome this.”