Key Takeaways
- Globally, 130 million girls out of school, mostly due to gender bias, UNESCO 2023
- In low-income countries, girls complete 1 fewer year of schooling than boys, World Bank 2023
- Sub-Saharan Africa primary school completion girls 65% vs boys 72%, UNICEF 2023
- Intimate partner violence affects 30% women lifetime globally, WHO 2023
- 137 women killed daily by partner/family, UNODC 2023
- India 33k rapes reported 2022, NCRB highest globally
- Globally, women 2x more likely diagnosed with depression due to gender stressors, WHO 2023
- Maternal mortality ratio 211 per 100k live births globally, 99% in developing regions, WHO 2023
- US Black women 3-4x more likely die childbirth than white women, CDC 2023
- Only 14% parliament seats women globally 2023, IPU 2023
- US Congress 27% women 2023, CAWP 2023
- Saudi Arabia women 20% candidates first election, but low win, 2023
- Globally, women spend three times as much time on unpaid care and domestic work compared to men, according to 2023 UN Women data
- In the US, the gender pay gap persists at 84% for full-time workers in 2023, with women earning $0.84 for every $1 men earn
- Only 27% of managerial positions worldwide are held by women as of 2023 ILO report
Millions of girls and women worldwide are barred by discrimination from education, safety, and equal work.
Related reading
Educational Disparities
Educational Disparities Interpretation
More related reading
Gender-Based Violence
Gender-Based Violence Interpretation
Healthcare and Reproductive Rights
Healthcare and Reproductive Rights Interpretation
More related reading
More related reading
Workplace and Economic Discrimination
Workplace and Economic Discrimination 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.
Elena Vasquez. (2026, February 13). Gender Discrimination Statistics. Gitnux. https://gitnux.org/gender-discrimination-statistics
Elena Vasquez. "Gender Discrimination Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/gender-discrimination-statistics.
Elena Vasquez. 2026. "Gender Discrimination Statistics." Gitnux. https://gitnux.org/gender-discrimination-statistics.
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