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Global experiences of discrimination

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  • OECD

Abstract

Promoting equality and combating discrimination are core objectives of the Sustainable Development Goals. Yet, internationally comparable data on the experiences of groups at risk of discrimination remain limited, particularly with respect to certain legally protected characteristics. Newly available survey data allow a global assessment of self-reported discrimination. When combined with objective indicators of inequality, values surveys and qualitative evidence, these data highlight potential drivers and consequences of discrimination. Results indicate that nearly one in four individuals worldwide report having experienced discrimination in their lifetime, with women, young people and those with lower incomes most affected. Complementary qualitative analysis from OECD countries further highlights how the intersection of individual risk factors shapes the frequency with which discrimination occurs, and the widespread effects it has on their lives. Together, this evidence underscores the breadth and depth of discrimination globally, and its far reaching implications for wellbeing, financial security and social cohesion – underlining the importance of continuing to invest in equality data.

Suggested Citation

  • Oecd, 2025. "Global experiences of discrimination," OECD Policy Insights on Well-being, Inclusion and Equal Opportunity 22, OECD Publishing.
    • Handle: RePEc:oec:wiseab:22-en
    DOI: 10.1787/4b01b73c-en
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    Cited by:

    1. Carsten Andersen & Timo Hener, 2026. "How Wind Turbines Affect Communities: Evidence on Health, Productivity, and Residential Sorting," ifo Working Paper Series 423, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
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    5. Bein, Murad A., 2026. "Dynamic interrelations and the potential of global industrial sectors to function as a refuge for the global transition towards a low-carbon economy," The North American Journal of Economics and Finance, Elsevier, vol. 81(C).
    6. Susantha Wanniarachchi & Ranjan Sarukkalige & H. A. Prasantha Hapuarachchi & Pattiyage I.A. Gomes & Upaka Rathnayake, 2026. "Uncertainty Reduction in Near Real-time Satellite Precipitation Estimates by Integrating Soil Moisture and Potential Evapotranspiration Using a Machine Learning Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 40(5), pages 1-20, March.
    7. Singh, Chandransh & Sreekumar, Sreenu & Malakar, Tanmoy, 2026. "Balancing markets and imbalance forecasting: A pathway towards net zero grids," Applied Energy, Elsevier, vol. 402(PB).
    8. Zhao, Ran & Zhao, Yuhan & He, Pinglin, 2025. "How does fiscal policy affect green innovation development? Evidence from 30 provinces in China," Journal of Asian Economics, Elsevier, vol. 100(C).

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