Key Takeaways
- In 2022, 53% of all people living with HIV were women and girls
- Adolescent girls and young women aged 15-24 accounted for 25% of new HIV infections among adults in 2022 despite being 10% of the population
- In Eastern and southern Africa, women and girls aged 15-24 were 3.2 times more likely to acquire HIV than young men in 2022
- In 2022, an estimated 39.0 million people aged 15-49 years were living with HIV worldwide
- Globally, 1.3 million people acquired HIV in 2022
- In 2022, 630,000 people died from AIDS-related illnesses worldwide
- AIDS-related illnesses caused 630,000 deaths in 2022, down 69% from 2004 peak
- Globally, 40.4 million people have died from AIDS since 1980
- In 2022, Eastern and southern Africa saw 250,000 AIDS deaths
- HIV epidemic has orphaned 15.2 million children globally as of 2021
- AIDS-related stigma affects 1 in 3 people living with HIV globally
- HIV costs global economy $34.7 trillion in lost earnings from 2000-2025 projected
- Globally, heterosexual transmission accounts for 72% of new HIV infections in 2022
- Sex between men accounts for 20% of new HIV infections globally in 2022
- People who inject drugs account for 10% of new HIV infections worldwide in 2022
In 2022, women and young girls drove new HIV infections, while treatment and viral suppression expanded but gaps remain.
Demographics
Demographics Interpretation
Global Epidemiology
Global Epidemiology Interpretation
Mortality
Mortality Interpretation
Socioeconomic Impact
Socioeconomic Impact Interpretation
Transmission
Transmission Interpretation
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.
Priyanka Sharma. (2026, February 13). Aids Statistics. Gitnux. https://gitnux.org/aids-statistics
Priyanka Sharma. "Aids Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/aids-statistics.
Priyanka Sharma. 2026. "Aids Statistics." Gitnux. https://gitnux.org/aids-statistics.
Sources & References
- Reference 1UNAIDSunaids.org
unaids.org
- Reference 2WHOwho.int
who.int
- Reference 3CDCcdc.gov
cdc.gov
- Reference 4AIDSINFOaidsinfo.unaids.org
aidsinfo.unaids.org
- Reference 5DATAdata.unicef.org
data.unicef.org
- Reference 6WORLDBANKworldbank.org
worldbank.org
- Reference 7UNFPAunfpa.org
unfpa.org







