Statistical excellence in journalism


The above photo shows Christine Jeavons of BBC News receiving the 'Data visualisation' award from RSS president Peter Diggle at the RSS 2015 Conference awards ceremony.

The deadline for entries for the 2016 awards has now passed

Winners will be announced in May with an awards ceremony taking place in July.

About our awards

We established our awards for statistical excellence in journalism in 2007 to encourage excellence in journalists’ use of statistics to question, analyse and investigate the issues that affect society.

For 2016 the categories are as follows:

  1. Regional journalism: recognising the excellent use of data and statistics in local or regional media.
  2. Investigative journalism: recognising journalism that has used original research and analysis of data to uncover a story.
  3. Explaining the facts: recognising journalism that has dissected important statistics to make them more accessible and understandable to the wider public.
  4. Data visualisation: recognising the use of creative visual representation to illustrate complex data.

All awards are open to broadcast, print or online media from individual journalists or teams.

2015 awards

The winners of the 2015 awards were announced as follows:
Investigative journalism: ‘The Script report’ - Jon McClure, The Detail
Explaining the facts: ‘Big Data – are we making a big mistake?’ - Tim Harford, opinion piece published in the Financial Times and on his blog
Regional journalism: ‘Suicide kills as many as the Troubles’ - Kathryn Torney, The Detail (Northern Ireland)
Data visualisation: ‘Jihadism: Tracking a month of deadly attacks’ - Christine Jeavans, Nassos Stylianou, Richard Bangay, Aidan Fewster, James Offer and Charlotte Thornton, BBC News

Read about the 2015 winners of our Statistical Excellence Awards on StatsLife.

Previous award winners

2015 winners (PDF)
2014 winners (PDF)
2013 winners (PDF)
2012 winners (PDF)
2011 winners (PDF)
2010 winners (PDF)
2009 winners (PDF)
2008 winners (PDF)
2007 winners (PDF)