Key Takeaways
- Preterm birth complications account for 35% of global neonatal deaths, a leading cause of infant mortality
- Intrapartum-related complications cause 22% of neonatal deaths worldwide
- Infections like pneumonia and sepsis contribute to 19% of under-five deaths, including infants
- Nigeria has the highest national infant mortality rate at 72 per 1,000 live births in 2021
- India reported 25 infant deaths per 1,000 live births in 2022, down from 58 in 2000
- Afghanistan's infant mortality stands at 104 per 1,000 live births in 2021, among highest globally
- The global under-five mortality rate, which includes infant mortality, fell by 59% from 93 deaths per 1,000 live births in 1990 to 38 in 2021
- In 2022, the worldwide infant mortality rate stood at 27 deaths per 1,000 live births according to WHO estimates
- Globally, an estimated 2.3 million children died in the first month of life in 2022, accounting for 47% of all under-five deaths
- Sub-Saharan Africa has the highest global infant mortality at 74 per 1,000 live births in 2021
- In South Asia, infant mortality rate was 41 per 1,000 live births in 2021, second highest regionally
- Latin America and Caribbean's infant mortality rate averaged 20 per 1,000 live births in 2022
- Globally, infant mortality rate halved from 54 to 27 per 1,000 live births between 1990 and 2022
- From 2000 to 2019, annual decline in global under-five mortality accelerated to 3.7%
- Infant mortality in low-income countries fell 50% from 1990 to 2021, from 134 to 67 per 1,000
Preterm complications and birth complications drive most neonatal deaths, while infant mortality remains far higher in poorer countries.
Cause-Specific
Cause-Specific Interpretation
Country Rates
Country Rates Interpretation
Global Rates
Global Rates Interpretation
Regional Rates
Regional Rates Interpretation
Temporal Trends
Temporal Trends 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.
Henrik Dahl. (2026, February 13). Infant Mortality Statistics. Gitnux. https://gitnux.org/infant-mortality-statistics
Henrik Dahl. "Infant Mortality Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/infant-mortality-statistics.
Henrik Dahl. 2026. "Infant Mortality Statistics." Gitnux. https://gitnux.org/infant-mortality-statistics.
Sources & References
- Reference 1DATAdata.unicef.org
data.unicef.org
- Reference 2WHOwho.int
who.int
- Reference 3OURWORLDINDATAourworldindata.org
ourworldindata.org
- Reference 4UNICEFunicef.org
unicef.org
- Reference 5SDGSsdgs.un.org
sdgs.un.org
- Reference 6THELANCETthelancet.com
thelancet.com
- Reference 7DATAdata.worldbank.org
data.worldbank.org
- Reference 8ECec.europa.eu
ec.europa.eu
- Reference 9CDCcdc.gov
cdc.gov
- Reference 10ONSons.gov.uk
ons.gov.uk







