Key Takeaways
- US women aged 25-34 have 4% pay gap vs 21% for 45-64 in 2022
- College-educated US women out-earn men until age 30 then gap widens
- Black US women with bachelor's earn 65% white men same degree 2021
- In the European Union, the unadjusted gender pay gap averaged 12.7% in 2021
- Germany had a 18% gender pay gap in 2022, highest among large EU economies
- In France, women earned 15.4% less than men hourly in 2021
- Globally, women earned 77 cents for every dollar men earned in 2022 per ILO estimates
- In low-income countries, gender pay gap averages 29% unadjusted in 2021
- OECD average gender pay gap was 11.8% in 2022
- US women in computer occupations earned 83% of men's pay in 2022
- In healthcare diagnosing US, female pay ratio was 75% in 2023
- Finance US women executives earned 82% of men in banking 2022
- In 2023, full-time working women in the United States earned 84 cents for every dollar earned by men, based on median weekly earnings of $1,005 for women versus $1,195 for men
- Among US workers aged 25-34 in 2022, the gender pay gap narrowed to 92 cents on the dollar for women compared to men
- Black women in the US earned 64 cents for every dollar paid to white non-Hispanic men in 2022, controlling for job type and hours
In 2022, the US overall pay gap persisted, with mothers and older workers facing the steepest shortfalls.
Demographic Factors
Demographic Factors Interpretation
Europe
Europe Interpretation
Global
Global Interpretation
Industry and Occupation
Industry and Occupation Interpretation
United States
United States Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Catherine Wu. (2026, February 13). Pay Gap Statistics. Gitnux. https://gitnux.org/pay-gap-statistics
Catherine Wu. "Pay Gap Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/pay-gap-statistics.
Catherine Wu. 2026. "Pay Gap Statistics." Gitnux. https://gitnux.org/pay-gap-statistics.
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