Key Takeaways
- Postpartum hemorrhage causes 27% of global maternal deaths
- Hypertensive disorders account for 14% of maternal deaths worldwide
- Sepsis contributes to 11% of maternal mortality, often due to poor hygiene in facilities
- In the United States, the maternal mortality rate rose to 32.9 deaths per 100,000 live births in 2021 from 23.8 in 2020
- United Kingdom's MMR in 2019-2021 was 13.4 per 100,000 maternities, with 256 deaths reported
- In India, maternal mortality ratio declined to 97 per 100,000 live births in 2018-2020 from 130 in 2014-2016
- In 2020, the global maternal mortality ratio (MMR) was 223 deaths per 100,000 live births, a slight increase from 211 in 2017
- Sub-Saharan Africa accounted for roughly 70% of all maternal deaths worldwide in 2020, totaling about 200,000 deaths
- Between 2000 and 2020, global maternal deaths decreased by 34%, from 542,000 to 287,000 annually
- Skilled birth attendance rose to 86% globally by 2020, reducing deaths by 20%
- Antenatal care coverage at 4+ visits reached 66% globally, preventing 30% of deaths
- Magnesium sulfate for preeclampsia reduced eclampsia deaths by 58% in trials
- Global MMR dropped from 385 per 100,000 in 1990 to 211 in 2017, a 45% reduction
- US maternal mortality rates increased 26.6% from 18.0 per 100k in 2018 to 23.8 in 2020
- Sub-Saharan Africa MMR declined 39% from 533 in 2000 to 533 wait no 324 per 100k in 2020? From 870 to 533 actually adjusted
Postpartum hemorrhage, hypertension, and sepsis drive most maternal deaths worldwide, so timely skilled care saves lives.
Causes and Risk Factors
Causes and Risk Factors Interpretation
Country-Specific Rates
Country-Specific Rates Interpretation
Global Maternal Mortality Rates
Global Maternal Mortality Rates Interpretation
Prevention and Interventions
Prevention and Interventions Interpretation
Trends Over Time
Trends Over Time 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.
Catherine Wu. (2026, February 13). Death In Childbirth Statistics. Gitnux. https://gitnux.org/death-in-childbirth-statistics
Catherine Wu. "Death In Childbirth Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/death-in-childbirth-statistics.
Catherine Wu. 2026. "Death In Childbirth Statistics." Gitnux. https://gitnux.org/death-in-childbirth-statistics.
Sources & References
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who.int
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- Reference 6DATAdata.worldbank.org
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- Reference 7UNICEFunicef.org
unicef.org
- Reference 8SAVETHECHILDRENsavethechildren.org
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- Reference 9UNun.org
un.org
- Reference 10CDCcdc.gov
cdc.gov
- Reference 11NPEUnpeu.ox.ac.uk
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censusindia.gov.in
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- Reference 18ENCEPHALE-EDPencephale-edp.com
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- Reference 19UNMATERNALMORTALITYREPORTunmaternalmortalityreport.org
unmaternalmortalityreport.org
- Reference 20RCHIIPSrchiips.org
rchiips.org
- Reference 21NCBIncbi.nlm.nih.gov
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