Key Takeaways
- Approximately 1 in 8 women worldwide will develop breast cancer in their lifetime.
- In 2020, breast cancer caused 685,000 deaths globally among women.
- Cervical cancer is the fourth most common cancer in women, with 660,000 new cases and 350,000 deaths in 2022.
- Heart disease is the leading cause of death for women in the U.S., killing 1 in 5.
- Women develop heart disease 10 years later than men on average.
- Diabetes affects 422 million adults globally, with women facing higher mortality post-50.
- Globally, in 2022, an estimated 287,000 women died from preventable causes related to pregnancy and childbirth, with 70% occurring in sub-Saharan Africa.
- In the United States, the maternal mortality rate reached 32.9 deaths per 100,000 live births in 2021, a 40% increase from 2019.
- About 94% of all maternal deaths occur in low and lower middle-income countries, with Nigeria and the Democratic Republic of the Congo accounting for one-third of global cases in 2023.
- Depression affects 280 million people worldwide, with women twice as likely as men to experience it.
- In the U.S., 1 in 5 women experience a depressive episode annually.
- Anxiety disorders affect 4% of the global population, women comprising 60% of cases.
- Globally, infertility affects 1 in 6 people, with 48 million couples and 186 million individuals impacted in 2023.
- In the U.S., 11% of women aged 15-44 have impaired fecundity in 2022 data.
- Endometriosis affects 10% of reproductive-age women (190 million) worldwide.
Almost every day, preventable breast, cervical, and mental health burdens disproportionately affect women worldwide.
Cancer Statistics
Cancer Statistics Interpretation
Chronic Diseases
Chronic Diseases Interpretation
Maternal and Perinatal Health
Maternal and Perinatal Health Interpretation
Mental Health
Mental Health Interpretation
Reproductive Health
Reproductive Health 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.
David Kowalski. (2026, February 13). Women Health Statistics. Gitnux. https://gitnux.org/women-health-statistics
David Kowalski. "Women Health Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/women-health-statistics.
David Kowalski. 2026. "Women Health Statistics." Gitnux. https://gitnux.org/women-health-statistics.
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