Key Takeaways
- In 2022, 1.30 million people acquired HIV globally, with 160,000 children aged 0-14 years
- New HIV infections declined by 22% from 2010 to 2022 globally, from 2.1 million to 1.3 million
- Sub-Saharan Africa accounted for 67% of new HIV infections worldwide in 2022
- In 2022, 630,000 AIDS-related deaths occurred globally
- AIDS-related deaths declined 69% since peak of 2.0 million in 2004 to 630,000 in 2022
- Sub-Saharan Africa accounted for 73% of AIDS deaths in 2022, about 460,000
- In 2022, an estimated 39.0 million people were living with HIV globally, including 1.4 million children aged 0-14 years
- Sub-Saharan Africa accounted for 65% of people living with HIV worldwide in 2022, with approximately 25.6 million cases
- In Western and Central Europe and North America, 75% of people living with HIV knew their status in 2022
- PrEP initiations reached 3 million globally by 2022
- Condom use at last high-risk sex was 80% among young people in sub-Saharan Africa in 2022
- Globally, 54% reduction in new HIV infections since 2010 peak due to prevention
- Globally, 88% of infants exposed to HIV were tested within 2 months of birth in 2022
- In 2022, 86% of people living with HIV knew their status globally
- Sub-Saharan Africa tested 81% of adults 15-64 at least once in 2022
In 2022, new HIV infections fell to 1.3 million globally as treatment and prevention expanded.
Related reading
Incidence
Incidence Interpretation
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Mortality
Mortality Interpretation
Prevalence
Prevalence Interpretation
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Prevention
Prevention Interpretation
Testing
Testing Interpretation
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Treatment
Treatment 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.
Timothy Grant. (2026, February 13). Hiv Statistics. Gitnux. https://gitnux.org/hiv-statistics
Timothy Grant. "Hiv Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/hiv-statistics.
Timothy Grant. 2026. "Hiv Statistics." Gitnux. https://gitnux.org/hiv-statistics.
Sources & References
- Reference 1UNAIDSunaids.org
unaids.org
- Reference 2WHOwho.int
who.int
- Reference 3AVERTavert.org
avert.org
- Reference 4AIDSINFOaidsinfo.unaids.org
aidsinfo.unaids.org
- Reference 5KFFkff.org
kff.org
- Reference 6CDCcdc.gov
cdc.gov
- Reference 7HIVhiv.gov
hiv.gov







