Inclusive Data Taskforce recommendations report: Leaving no one behind – How can we be more inclusive in our data?

Inclusive Data Taskforce recommendations report: Leaving no one behind – How can we be more inclusive in our data?

ONS and the Cabinet Office should actively promote an intersectional approach to exploring and presenting equalities data across the UK. Potentially misleading single characteristic analyses should be avoided, and “like for like” analyses controlling, for example, for age, sex, sexual orientation, racialisation, socio-economic background and position 1, and place be readily accessible.

Avoid single characteristic analysis

https://uksa.statisticsauthority.gov.uk/publication/inclusive-data-taskforce-recommendations-report-leaving-no-one-behind-how-can-we-be-more-inclusive-in-our-data/

Related Articles