Share of the population living with HIV in Kenya
Kenya: Share of the population living with HIV was 3.0% in 2024. ▼ Falling
Share of the population living with HIV in Kenya, 1990–2024
Source: Joint United Nations Programme on HIV/AIDS (2026) – with minor processing by Our World in Data. Measured in %.
Analysis
Kenya recorded 3.0% for share of the population living with hiv in 2024. That is the lowest value across all 35 years on record.
That represents a change of down 5.4% on the previous year and down 37.6% over ten years.
Over the whole period, share of the population living with hiv in Kenya peaked at 10.1% in 1996 and was at its lowest, 3.0%, in 2024.
Kenya ranks 13th of 150 countries on this measure, in the top 10%.
The long-run direction has been consistently falling across the 35 years of available data.
Share of the population living with HIV in Kenya, year by year
| Year | % | Change |
|---|---|---|
| 1990 | 5.5% | — |
| 1991 | 6.9% | +24.6% |
| 1992 | 8.1% | +18.0% |
| 1993 | 9.1% | +12.1% |
| 1994 | 9.7% | +6.9% |
| 1995 | 10.0% | +3.0% |
| 1996 | 10.1% | +0.4% |
| 1997 | 9.9% | -1.5% |
| 1998 | 9.6% | -2.8% |
| 1999 | 9.2% | -3.8% |
| 2000 | 8.8% | -4.8% |
| 2001 | 8.3% | -5.4% |
| 2002 | 7.8% | -5.8% |
| 2003 | 7.4% | -6.1% |
| 2004 | 6.9% | -6.0% |
| 2005 | 6.5% | -5.5% |
| 2006 | 6.2% | -4.8% |
| 2007 | 6.0% | -4.0% |
| 2008 | 5.8% | -3.5% |
| 2009 | 5.6% | -3.0% |
| 2010 | 5.5% | -2.7% |
| 2011 | 5.3% | -2.6% |
| 2012 | 5.2% | -2.7% |
| 2013 | 5.0% | -2.9% |
| 2014 | 4.9% | -3.2% |
| 2015 | 4.7% | -3.5% |
| 2016 | 4.5% | -3.9% |
| 2017 | 4.3% | -4.2% |
| 2018 | 4.1% | -4.4% |
| 2019 | 3.9% | -4.6% |
| 2020 | 3.7% | -4.8% |
| 2021 | 3.6% | -5.0% |
| 2022 | 3.4% | -5.0% |
| 2023 | 3.2% | -5.2% |
| 2024 | 3.0% | -5.4% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 8.8% | 5.5% | 10.1% | 10 |
| 2000s | 6.9% | 5.6% | 8.8% | 10 |
| 2010s | 4.7% | 3.9% | 5.5% | 10 |
| 2020s | 3.4% | 3.0% | 3.7% | 5 |
Countries ranked near Kenya
More health data for Kenya
- Un projection of annual infant deaths, annual growth rate -1.44 % change on previous year (2100)
- Heat deaths vs projected death rates, annual growth rate 0.6026 % change on previous year (2090)
- Estimated changes in temperature-related death rates compared to projected death rates 1,119 deaths per 1,000 people (2090)
- Number of infants who die before age 1 16,059 deaths (2100)
- Population ages 0-14, female, annual growth rate 0.3381 % change on previous year (2025)
- Population ages 0-14, female, per unit of GDP 0.0001 units per US$ of GDP (2025)
- Population ages 0-14, female, per capita 0.18 units per person (2025)
- Population ages 0-14, male, annual growth rate 0.3574 % change on previous year (2025)
- Population ages 0-14, male, per unit of GDP 0.0001 units per US$ of GDP (2025)
- Population ages 0-14, male, per capita 0.1826 units per person (2025)
Frequently asked questions
- What is share of the population living with hiv in Kenya?
- Share of the population living with hiv in Kenya was 3.0% in 2024, according to Joint United Nations Programme on HIV/AIDS (2026) – with minor processing by Our World in Data.
- What is the highest share of the population living with hiv recorded in Kenya?
- The highest recorded value was 10.1% in 1996.
- What is the lowest share of the population living with hiv recorded in Kenya?
- The lowest recorded value was 3.0% in 2024.
- How does Kenya rank for share of the population living with hiv?
- Kenya ranks 13th out of 150 countries with data for 2024.
- Is share of the population living with hiv rising or falling in Kenya?
- Over the last ten years it is down 37.6%. The long-run trend across the full record is falling.
- Where does this Kenya data come from?
- The figures come from Joint United Nations Programme on HIV/AIDS (2026) – with minor processing by Our World in Data, published as part of Share of the population living with HIV. Statizoid updates them automatically from the source API.
Download this data
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About this data
Share of people aged 15-49 who test positive for HIV at a given time. This is the central estimate.