Key Takeaways
- Women accounted for 53% of people living with HIV adults globally in 2022
- In 2022, 3.8 million children aged 0-14 were living with HIV globally
- Adolescent girls and young women aged 15-24 accounted for 75% of new HIV infections among adolescents in 2022
- In 2022, AIDS-related deaths dropped to 630,000, down 69% from 2004 peak of 2.0 million
- TB remains leading cause of death among PLHIV, 167,000 TB/HIV deaths in 2022
- Orphans due to AIDS: 15.2 million children under 18 globally in 2022
- In 2022, an estimated 39.0 million people were living with HIV worldwide, with 1.3 million newly infected
- The global HIV prevalence rate among adults aged 15-49 was 0.7% in 2022
- Between 2010 and 2022, new HIV infections declined by 59% globally from 2.1 million to 1.3 million
- Eastern and Southern Africa holds 53% of global women living with HIV in 2022
- In 2022, Western and Central Africa had HIV prevalence of 1.5% among adults 15-49
- Latin America saw 120,000 new HIV infections in 2022
- In 2022, 29.8 million people living with HIV were accessing antiretroviral therapy globally
- Global ART coverage reached 76% among adults and 63% among children in 2022
- 25.6 million people on ART in Eastern and Southern Africa in 2022
In 2022, 1.3 million new HIV infections occurred worldwide, with women representing 53% of adults living with HIV.
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Demographics
Demographics Interpretation
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Mortality and Prevention
Mortality and Prevention Interpretation
Prevalence and Incidence
Prevalence and Incidence Interpretation
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Regional Variations
Regional Variations Interpretation
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Treatment and ART
Treatment and ART 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.
Christopher Morgan. (2026, February 13). Hiv Global Statistics. Gitnux. https://gitnux.org/hiv-global-statistics
Christopher Morgan. "Hiv Global Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/hiv-global-statistics.
Christopher Morgan. 2026. "Hiv Global Statistics." Gitnux. https://gitnux.org/hiv-global-statistics.
Sources & References
- Reference 1UNAIDSunaids.org
unaids.org
- Reference 2WHOwho.int
who.int
- Reference 3AIDSINFOaidsinfo.unaids.org
aidsinfo.unaids.org
- Reference 4THEGLOBALFUNDtheglobalfund.org
theglobalfund.org
- Reference 5STATEstate.gov
state.gov
- Reference 6HIVhiv.gov
hiv.gov







