大象传媒

Poverty link to early death 'scandalous'

Published July 19, 2018

In July 2018 the 大象传媒 Shared Data Unit reported people living in the poorest parts of the UK were more likely to die prematurely.

Our analysis revealed the mortality rate from avoidable causes was more than three times higher in some of the most deprived parts of the country than the most affluent.

We found a strong correlation between deprivation and the number of people dying prematurely.

This piece of content was produced by local newspaper journalists working alongside 大象传媒 staff.

The Shared Data Unit makes data journalism available to news organisations across the media industry, as part of a partnership between the 大象传媒 and the News Media Association. Stories generated by the partnership included:

  • The i:  19 July 2018
  • ITV News:  19 July 2018
  • Hull Daily Mail:  19 July 2018
  • Lancashire Post:  19 July 2018
  • Scotland: The Herald:  19 July 2018
  • Belfast Live:  19 July 2018
  • Stourbridge News:  19 July 2018
  • Rochdale Online:  19 July 2018
  • Halesowen News:  19 July 2018
  • 2BR radio Lancashire:  19 July 2018
  • Dudley News:  19 July 2018
  • Portsmouth: The News:  19 July 2018
  • Swindon Advertiser:  19 July 2018
  • Stroud News & Journal:  19 July 2018
  • Blackpool Gazette:  19 July 2018
  • Birmingham Eastside:  19 July 2018
  • Droitwich Spa Advertiser:  19 July 2018
  • Bromsgrove Advertiser:  19 July 2018
  • Malvern Gazette:  19 July 2018
  • Hereford Times:  19 July 2018
  • Worcester News:  19 July 2018
  • Scotland: The Times:  20 July 2018
  • Derry Journal:  20 July 2018
  • The Scotsman:  20 July 2018
  • The Kidderminster Shuttle:  20 July 2018
  • Redditch & Alcester Advertiser:  20 July 2018
  • Birmingham Mail:  21 July 2018
  • Liverpool Echo:  22 July 2018
  • Lancashire: The Visitor:  23 July 2018
  • Halstead Gazette:  23 July 2018
  • Johnstone and Renfrewshire: The Gazette:  25 July 2018

The story was also used for a feature by 大象传媒 Manchester大象传媒 Northern Ireland大象传媒 Scotland, ,  and 

Get the data

  • A  was done by Carmen Aguilar Garcia using R. 

Background and briefing