PROJECT

Understanding Ethnicity Data Gaps

The Race Equality Foundation, commissioned by the Joseph Rowntree Foundation (JRF), is leading a programme to address gaps within UK health and care ethnicity-disaggregated data.

In a circular frame, a black nurse talking to a black young women in a hospital waiting area. They look serious.

Exploring Ethnicity Data Use and Gaps in Health Care 2025 report

Our report, ‘Exploring Ethnicity Data Use and Gaps in Health Care’identifies the barriers  to the collection, availability and use of quality ethnicity data and opportunities and best practice to overcome these barriers. 

The report proposes a twofold path forward:

  • A set of practical recommendations to leverage existing ethnicity data sets.
  • Long-term steps to build coherent and equitable data systems capable of driving real change.

Read the report to discover how we can create future data systems that meaningfully advance racial equity.

About our work

To address long-standing issues in the quality, accessibility and interpretation of ethnicity-disaggregated data, we led an initiative with the Joseph Rowntree Foundation to understand the barriers limiting its effective use. 

We gathered insights from researchers, VCSE organisations, practitioners and policymakers through a national survey, two roundtables and explorative blogs. 

By improving accessibility and informing future data collection, the initiative is helping ensure robust data drives effective policy and practice for Black, Asian and minoritised ethnic communities. These findings shaped our final report, Exploring Ethnicity Data Use and Gaps in Health Care.

Understanding ethnicity data gaps

This work contributes to the Joseph Rowntree Foundation’s Insight Infrastructure programme, a powerful collaborative resource which helps tackle injustice and inequality in the UK by democratising access to high-quality data and evidence.

You can access their toolkit to read the other research, resources, and projects.

Why ethnicity gaps matter

When ethnicity data is collected without a clear plan for application or treated as a ‘tick-box’ exercise it can disappear without being shared back to communities, deepening public mistrust.  Decades of evidence highlight persistent health inequalities affecting Black, Asian and minoritised ethnic groups. Without accurate and consistently applied data, health inequalities remain obscured, and these communities will continue to experience poorer outcomes and unequal access to care.

Our work addresses two priorities: improving data quality and ensuring its meaningful use – both critical steps toward a fairer health and care system.

Further evidence and resources

What works: Case studies in ethnicity data use (Case study pack)

This case study pack offers three applied examples from the 2025 Ethnicity Data Gaps Insight Infrastructure Programme report. 

It provides concise, practical insights for policymakers, researchers, analysts, commissioners, VCSE organisations and frontline practitioners seeking to strengthen the collection, interpretation and use of ethnicity data.