Making racially inclusive data: Lessons from the Evidence for Equality National Survey (EVENS)

Published: April 2026

Authors: Finney, N. Bécares, L., Borkowska, M., Hale, J., Kapadia, D., Shlomo, N., Horn, D., Taylor, H. and Dulout, G.

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The report outlines the findings of the Inclusive Survey Futures project, whose aim was to provide insights on how to produce large-scale social data that are racially inclusive. In particular, the project was concerned with how to improve the representation and robustness of social surveys that are collected via non-probability approaches, focusing on the Evidence for Equality National Survey (EVENS). 

Key findings

  • Co-production with communities can enable racially inclusive data
  • Recruitment is a critical component of inclusive data collection
  • Attention must be paid to mitigating illegitimate participation in social data collection
  • Statistical adjustments are essential to ensure robust racially inclusive data

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