HIV incidence per 1,000 individuals, by age in Bangladesh
Bangladesh: HIV incidence per 1,000 individuals, by age was 0.0114 infections per 1,000 people in 2024. ◆ Volatile
HIV incidence per 1,000 individuals, by age in Bangladesh, 1990–2024
Source: Joint United Nations Programme on HIV/AIDS (2026) – with minor processing by Our World in Data. Measured in infections per 1,000 people.
Analysis
Bangladesh recorded 0.0114 infections per 1,000 people for hiv incidence per 1,000 individuals, by age in 2024.
Compared with earlier readings it is down 1.7% on the previous year and down 13.9% over ten years.
Over the whole period, hiv incidence per 1,000 individuals, by age in Bangladesh peaked at 0.0137 infections per 1,000 people in 2015 and was at its lowest, 0.0002 infections per 1,000 people, in 1990.
That places Bangladesh 142nd out of 144 countries with data for 2024, putting it in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
HIV incidence per 1,000 individuals, by age in Bangladesh, year by year
| Year | infections per 1,000 people | Change |
|---|---|---|
| 1990 | 0.0002 infections per 1,000 people | — |
| 1991 | 0.0003 infections per 1,000 people | +49.8% |
| 1992 | 0.0005 infections per 1,000 people | +33.1% |
| 1993 | 0.0006 infections per 1,000 people | +24.8% |
| 1994 | 0.0008 infections per 1,000 people | +39.8% |
| 1995 | 0.001 infections per 1,000 people | +28.4% |
| 1996 | 0.0013 infections per 1,000 people | +22.1% |
| 1997 | 0.0017 infections per 1,000 people | +36.2% |
| 1998 | 0.0022 infections per 1,000 people | +26.6% |
| 1999 | 0.0031 infections per 1,000 people | +42.0% |
| 2000 | 0.0044 infections per 1,000 people | +44.5% |
| 2001 | 0.0061 infections per 1,000 people | +36.4% |
| 2002 | 0.0077 infections per 1,000 people | +26.6% |
| 2003 | 0.0091 infections per 1,000 people | +18.1% |
| 2004 | 0.0101 infections per 1,000 people | +11.6% |
| 2005 | 0.0105 infections per 1,000 people | +3.7% |
| 2006 | 0.0103 infections per 1,000 people | -1.9% |
| 2007 | 0.0102 infections per 1,000 people | -0.8% |
| 2008 | 0.0104 infections per 1,000 people | +1.5% |
| 2009 | 0.0105 infections per 1,000 people | +1.4% |
| 2010 | 0.0104 infections per 1,000 people | -0.8% |
| 2011 | 0.0109 infections per 1,000 people | +4.7% |
| 2012 | 0.0118 infections per 1,000 people | +7.9% |
| 2013 | 0.0125 infections per 1,000 people | +6.4% |
| 2014 | 0.0133 infections per 1,000 people | +6.0% |
| 2015 | 0.0137 infections per 1,000 people | +3.0% |
| 2016 | 0.0135 infections per 1,000 people | -1.4% |
| 2017 | 0.0127 infections per 1,000 people | -5.8% |
| 2018 | 0.012 infections per 1,000 people | -5.4% |
| 2019 | 0.0119 infections per 1,000 people | -0.8% |
| 2020 | 0.0116 infections per 1,000 people | -2.8% |
| 2021 | 0.0115 infections per 1,000 people | -1.0% |
| 2022 | 0.0117 infections per 1,000 people | +1.9% |
| 2023 | 0.0116 infections per 1,000 people | -0.6% |
| 2024 | 0.0114 infections per 1,000 people | -1.7% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 0.0012 infections per 1,000 people | 0.0002 infections per 1,000 people | 0.0031 infections per 1,000 people | 10 |
| 2000s | 0.0089 infections per 1,000 people | 0.0044 infections per 1,000 people | 0.0105 infections per 1,000 people | 10 |
| 2010s | 0.0123 infections per 1,000 people | 0.0104 infections per 1,000 people | 0.0137 infections per 1,000 people | 10 |
| 2020s | 0.0116 infections per 1,000 people | 0.0114 infections per 1,000 people | 0.0117 infections per 1,000 people | 5 |
Countries ranked near Bangladesh
- 139 Maldives 0.0201 infections per 1,000 people compare
- 140 United Arab Emirates 0.0191 infections per 1,000 people compare
- 141 Comoros 0.0186 infections per 1,000 people compare
- 143 Jordan 0.0063 infections per 1,000 people compare
- 144 Syrian Arab Republic 0.0035 infections per 1,000 people compare
More health data for Bangladesh
- Un projection of annual infant deaths, annual growth rate -2.36 % change on previous year (2100)
- Heat deaths vs projected death rates, annual growth rate 1.15 % change on previous year (2090)
- Estimated changes in temperature-related death rates compared to projected death rates 1,153 deaths per 1,000 people (2090)
- Number of infants who die before age 1 4,062 deaths (2100)
- Population ages 65-69, male, annual growth rate 2.41 % change on previous year (2025)
- Population ages 65-69, male, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 65-69, male, per capita 0.0128 units per person (2025)
- Population ages 70-74, female, annual growth rate 3.68 % change on previous year (2025)
- Population ages 70-74, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 70-74, female, per capita 0.0095 units per person (2025)
Frequently asked questions
- What is hiv incidence per 1,000 individuals, by age in Bangladesh?
- Hiv incidence per 1,000 individuals, by age in Bangladesh was 0.0114 infections per 1,000 people in 2024, according to Joint United Nations Programme on HIV/AIDS (2026) – with minor processing by Our World in Data.
- What is the highest hiv incidence per 1,000 individuals, by age recorded in Bangladesh?
- The highest recorded value was 0.0137 infections per 1,000 people in 2015.
- What is the lowest hiv incidence per 1,000 individuals, by age recorded in Bangladesh?
- The lowest recorded value was 0.0002 infections per 1,000 people in 1990.
- How does Bangladesh rank for hiv incidence per 1,000 individuals, by age?
- Bangladesh ranks 142nd out of 144 countries with data for 2024.
- Is hiv incidence per 1,000 individuals, by age rising or falling in Bangladesh?
- Over the last ten years it is down 13.9%. The long-run trend across the full record is volatile.
- Where does this Bangladesh 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 HIV incidence per 1,000 individuals, by age. Statizoid updates them automatically from the source API.
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About this data
Number of people aged 15-49 newly infected with HIV in the last year per 1,000 uninfected people. This is the central estimate.