Key Takeaways
- 12 million girls married before 18 annually, leading to early pregnancy risks
- Globally, 21% of girls aged 20-24 married before 18, 5% before 15
- Adolescent birth rate (15-19) is 42 per 1,000 girls globally, 100+ in sub-Saharan Africa
- Globally, 45% of pregnancies are unintended, contributing to maternal health risks
- In 2021, 218 million women in low- and middle-income countries had an unmet need for modern contraception
- Contraceptive prevalence rate (CPR) among married women aged 15-49 is 49% globally, but only 28% in Africa
- The global total fertility rate (TFR) was 2.3 children per woman in 2021, down from 4.9 in 1960
- In sub-Saharan Africa, TFR remains high at 4.6 in 2021
- Niger has the world's highest TFR at 6.7 children per woman in 2021
- 17.5% of adults worldwide experience infertility, affecting 1 in 6 people
- In high-income countries, 10-15% of couples face infertility
- Male factors contribute to 40-50% of infertility cases globally
- In 2020, approximately 287,000 women worldwide died from preventable causes related to pregnancy and childbirth, with sub-Saharan Africa accounting for roughly 70% of these deaths
- The maternal mortality ratio (MMR) in 2020 was 223 deaths per 100,000 live births globally, down from 227 in 2015 but still far from the Sustainable Development Goal target of less than 70 by 2030
- In low-income countries, the MMR stands at 421 deaths per 100,000 live births, compared to 11 in high-income countries, highlighting stark inequities
One in six people worldwide faces infertility, while unsafe pregnancy and unmet contraception still drive preventable maternal deaths.
Related reading
Adolescent Reproductive Health
Adolescent Reproductive Health Interpretation
More related reading
Contraceptive Use
Contraceptive Use Interpretation
More related reading
Fertility Rates
Fertility Rates Interpretation
Infertility
Infertility Interpretation
More related reading
Maternal Mortality
Maternal Mortality Interpretation
More related reading
STIs
STIs 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). Reproductive Health Statistics. Gitnux. https://gitnux.org/reproductive-health-statistics
Stefan Wendt. "Reproductive Health Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/reproductive-health-statistics.
Stefan Wendt. 2026. "Reproductive Health Statistics." Gitnux. https://gitnux.org/reproductive-health-statistics.
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