You asked

​I would like up to date data available in regards to deaths relating to anorexia between 2019/2020. Could you please advise me where I can find these? Or if you have not yet published them on your website could you please advise me on how it's best to get these.

We said

Thank you for your enquiry.

Cause of death is coded using Version 10 of the International classification of diseases (ICD-10). Deaths with an underlying cause of eating disorder would be assigned the ICD-10 code F50 https://icd.who.int/browse10/2014/en#/F50. This includes the following conditions:

  • Anorexia Nervosa - F50.0

  • Atypical Anorexia Nervosa - F50.1

Deaths from eating disorders for 2019 is provided in the table below, and is also available through the following NOMIS explorable dataset and has been pasted in the following table: https://www.nomisweb.co.uk/query/select/getdatasetbytheme.asp?theme=73.

Latest data available is 2019, with 2020 data available with the publication of the Deaths Registered Series in July 2021.

As such, the information you have requested is considered exempt under Section 22(1) of the Freedom of Information Act 2000, whereby information is exempt from release if there is a view to publish the information in the future. Furthermore, as a central government department and producer of official statistics, we need to have the freedom to be able to determine our own publication timetables. This is to allow us to deal with the necessary preparation, administration and context of publications. It would be unreasonable to consider disclosure when to do so would undermine our functions.

This exemption is subject to a public interest test. We recognise the desirability of information being freely available and this is considered by ONS when publication schedules are set in accordance with the Code of Practice for Statistics. The need for timely data must be balanced against the practicalities of applying statistical skill and judgement to produce the high quality, assured data needed to inform decision-making. If this balance is incorrectly applied, then we run the risk of decisions being based on inaccurate data which is arguably not in the public interest.  This will have an impact on public trust in official statistics in a time when accuracy of official statistics is more important to the public than ever before.