Key Takeaways
- Adolescents in sub-Saharan Africa undergo 3.4 million unsafe abortions annually.
- Globally, 29% of all unsafe abortions occur among women aged 15-24 years.
- In low-income countries, 60% of unsafe abortion seekers are married women.
- In 2022, approximately 73 million induced abortions occurred worldwide each year, with 45% classified as unsafe, primarily in developing countries.
- Globally, unsafe abortions account for 13% of all maternal deaths, equating to about 47,000 deaths annually as of recent estimates.
- Between 4.7% - 13.2% of maternal deaths result from unsafe abortion worldwide, with higher rates in regions with restrictive laws.
- Unsafe abortions result in 7% of all pregnancy-related deaths in Asia.
- Worldwide, 7 million women are treated yearly for complications from unsafe abortions, including hemorrhage and infection.
- 20 million women experience injuries or illnesses from unsafe abortions annually globally.
- Annually, unsafe abortions lead to 5-13% of maternal deaths globally, per WHO estimates.
- Globally, 47,000 women die each year from unsafe abortion complications, with 99% in developing countries.
- The case-fatality rate for unsafe abortion worldwide is approximately 367 deaths per 100,000 procedures.
- In Latin America, unsafe abortions cause 800,000 hospitalizations annually for complications.
- In sub-Saharan Africa, 75% of abortions are unsafe, with rates up to 100% in some countries.
- Nigeria sees 1.25 million unsafe abortions yearly, with 66% among adolescents.
Unsafe abortions affect millions each year, with the greatest harm and deaths concentrated among poor, young women.
Demographics
Demographics Interpretation
Global Prevalence
Global Prevalence Interpretation
Morbidity Complications
Morbidity Complications Interpretation
Mortality Rates
Mortality Rates Interpretation
Regional Variations
Regional Variations 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.
Ryan Townsend. (2026, February 13). Unsafe Abortions Statistics. Gitnux. https://gitnux.org/unsafe-abortions-statistics
Ryan Townsend. "Unsafe Abortions Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/unsafe-abortions-statistics.
Ryan Townsend. 2026. "Unsafe Abortions Statistics." Gitnux. https://gitnux.org/unsafe-abortions-statistics.
Sources & References
- Reference 1WHOwho.int
who.int
- Reference 2GUTTMACHERguttmacher.org
guttmacher.org
- Reference 3PUBMEDpubmed.ncbi.nlm.nih.gov
pubmed.ncbi.nlm.nih.gov
- Reference 4THELANCETthelancet.com
thelancet.com
- Reference 5UNFPAunfpa.org
unfpa.org







