Key Takeaways
- Globally, women occupy only 11% of CEO positions in national sports federations, per 2023 IOC Gender Equality Review.
- FIFA: Only 7% of national associations have female presidents in 2023.
- UEFA: 13% women on executive committees of member associations 2022.
- Globally, only 0.4% of sports media coverage is dedicated to women's sports, per 2022 Global Sport Media Report.
- In the US, ESPN airs 10% women's sports content vs 90% men's during prime time 2023.
- BBC Sports coverage: Women's events get 12% airtime vs men's 88% in 2022 Olympics.
- In 2022, only 22% of girls aged 6-17 participated in organized sports vs 28% of boys in the US, per CDC data.
- Worldwide, 1 in 3 girls drop out of sports by age 14 vs 1 in 10 boys, UNESCO 2023.
- In India, female sports participation rate is 18% vs 37% for males aged 5-14, 2022 NFHS.
- In 2023, the total prize money for the FIFA Women's World Cup was $110 million, compared to $440 million for the men's tournament in 2022, highlighting a 75% pay gap.
- Female athletes in the WNBA earned an average salary of $147,000 in 2023, while NBA players averaged $9.3 million, a disparity of over 6,200%.
- Tennis players Serena Williams and Naomi Osaka have earned more in prize money than many male players, but overall WTA prize money in 2022 was $182 million vs ATP's $623 million, a 70% gap.
- Globally, female athletes receive 21% of total sports sponsorship revenue despite growing participation, per 2022 Deloitte report.
- In 2023, Nike's endorsement deals for women averaged $500,000 vs $5 million for top male athletes, 90% gap.
- Under Armour sponsors 15% fewer female pro athletes than males in 2022, with deals 40% smaller on average.
Women face major gaps in leadership, media coverage, and pay across sports, with often only 10 to 20%.
Related reading
Leadership Underrepresentation
Leadership Underrepresentation Interpretation
More related reading
Media Coverage Disparity
Media Coverage Disparity Interpretation
More related reading
Participation Gaps
Participation Gaps Interpretation
More related reading
Pay Inequality
Pay Inequality Interpretation
More related reading
Sponsorship Differences
Sponsorship Differences 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.
Stefan Wendt. (2026, February 13). Gender Inequality In Sports Statistics. Gitnux. https://gitnux.org/gender-inequality-in-sports-statistics
Stefan Wendt. "Gender Inequality In Sports Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/gender-inequality-in-sports-statistics.
Stefan Wendt. 2026. "Gender Inequality In Sports Statistics." Gitnux. https://gitnux.org/gender-inequality-in-sports-statistics.
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