Incidence of HIV, ages 15-49 in Guinea-Bissau
Guinea-Bissau: Incidence of HIV, ages 15-49 was 0.57 per 1,000 uninfected population ages 15-49 in 2024. ◆ Volatile
Latest (2024)
0.57 per 1,000 uninfected population ages 15-49
Change on year
down 14.9%
World rank
31st
of 146 countries
All-time high
8.2 per 1,000 uninfected population ages 15-49
in 1999
All-time low
0.57 per 1,000 uninfected population ages 15-49
in 2024
Years of data
35
1990–2024
Incidence of HIV, ages 15-49 in Guinea-Bissau, 1990–2024
Source: UNAIDS estimates, Joint United Nations Programme on HIV/AIDS (UNAIDS). Measured in per 1,000 uninfected population ages 15-49.
Analysis
Guinea-Bissau recorded 0.57 per 1,000 uninfected population ages 15-49 for incidence of hiv, ages 15-49 in 2024. That is the lowest value across all 35 years on record.
Compared with earlier readings it is down 14.9% on the previous year and down 70.0% over ten years.
Over the whole period, incidence of hiv, ages 15-49 in Guinea-Bissau peaked at 8.2 per 1,000 uninfected population ages 15-49 in 1999 and was at its lowest, 0.57 per 1,000 uninfected population ages 15-49, in 2024.
Guinea-Bissau ranks 31st of 146 countries on this measure, in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Incidence of HIV, ages 15-49 in Guinea-Bissau, year by year
| Year | per 1,000 uninfected population ages 15-49 | Change |
|---|---|---|
| 1990 | 0.84 per 1,000 uninfected population ages 15-49 | — |
| 1991 | 1.2 per 1,000 uninfected population ages 15-49 | +42.9% |
| 1992 | 1.6 per 1,000 uninfected population ages 15-49 | +33.3% |
| 1993 | 2.1 per 1,000 uninfected population ages 15-49 | +31.2% |
| 1994 | 3 per 1,000 uninfected population ages 15-49 | +42.9% |
| 1995 | 4.1 per 1,000 uninfected population ages 15-49 | +36.7% |
| 1996 | 5.5 per 1,000 uninfected population ages 15-49 | +34.1% |
| 1997 | 6.7 per 1,000 uninfected population ages 15-49 | +21.8% |
| 1998 | 7.9 per 1,000 uninfected population ages 15-49 | +17.9% |
| 1999 | 8.2 per 1,000 uninfected population ages 15-49 | +3.8% |
| 2000 | 8.1 per 1,000 uninfected population ages 15-49 | -1.2% |
| 2001 | 6.9 per 1,000 uninfected population ages 15-49 | -14.8% |
| 2002 | 6 per 1,000 uninfected population ages 15-49 | -13.0% |
| 2003 | 5.1 per 1,000 uninfected population ages 15-49 | -15.0% |
| 2004 | 4.4 per 1,000 uninfected population ages 15-49 | -13.7% |
| 2005 | 3.9 per 1,000 uninfected population ages 15-49 | -11.4% |
| 2006 | 3.7 per 1,000 uninfected population ages 15-49 | -5.1% |
| 2007 | 3.5 per 1,000 uninfected population ages 15-49 | -5.4% |
| 2008 | 3.2 per 1,000 uninfected population ages 15-49 | -8.6% |
| 2009 | 3 per 1,000 uninfected population ages 15-49 | -6.3% |
| 2010 | 2.7 per 1,000 uninfected population ages 15-49 | -10.0% |
| 2011 | 2.5 per 1,000 uninfected population ages 15-49 | -7.4% |
| 2012 | 2.2 per 1,000 uninfected population ages 15-49 | -12.0% |
| 2013 | 2 per 1,000 uninfected population ages 15-49 | -9.1% |
| 2014 | 1.9 per 1,000 uninfected population ages 15-49 | -5.0% |
| 2015 | 1.7 per 1,000 uninfected population ages 15-49 | -10.5% |
| 2016 | 1.5 per 1,000 uninfected population ages 15-49 | -11.8% |
| 2017 | 1.3 per 1,000 uninfected population ages 15-49 | -13.3% |
| 2018 | 1.2 per 1,000 uninfected population ages 15-49 | -7.7% |
| 2019 | 1.1 per 1,000 uninfected population ages 15-49 | -8.3% |
| 2020 | 0.94 per 1,000 uninfected population ages 15-49 | -14.5% |
| 2021 | 0.87 per 1,000 uninfected population ages 15-49 | -7.4% |
| 2022 | 0.73 per 1,000 uninfected population ages 15-49 | -16.1% |
| 2023 | 0.67 per 1,000 uninfected population ages 15-49 | -8.2% |
| 2024 | 0.57 per 1,000 uninfected population ages 15-49 | -14.9% |
Guinea-Bissau compared with similar countries
- Guinea-Bissau's 0.57 per 1,000 uninfected population ages 15-49 is above the median for low income countries, which is 0.29 per 1,000 uninfected population ages 15-49, 2.0× the median. (23 countries reporting)
- Guinea-Bissau's 0.57 per 1,000 uninfected population ages 15-49 is below the median for Sub-Saharan Africa, which is 0.58 per 1,000 uninfected population ages 15-49, 98% of the median. (43 countries reporting)
Biggest year-on-year movements
Years where Incidence of HIV, ages 15-49 in Guinea-Bissau changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.
| Year | Change | From | To |
|---|---|---|---|
| 1991 | +42.9% | 0.84 per 1,000 uninfected population ages 15-49 | 1.2 per 1,000 uninfected population ages 15-49 |
| 1994 | +42.9% | 2.1 per 1,000 uninfected population ages 15-49 | 3 per 1,000 uninfected population ages 15-49 |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 4.11 per 1,000 uninfected population ages 15-49 | 0.84 per 1,000 uninfected population ages 15-49 | 8.2 per 1,000 uninfected population ages 15-49 | 10 |
| 2000s | 4.78 per 1,000 uninfected population ages 15-49 | 3 per 1,000 uninfected population ages 15-49 | 8.1 per 1,000 uninfected population ages 15-49 | 10 |
| 2010s | 1.81 per 1,000 uninfected population ages 15-49 | 1.1 per 1,000 uninfected population ages 15-49 | 2.7 per 1,000 uninfected population ages 15-49 | 10 |
| 2020s | 0.756 per 1,000 uninfected population ages 15-49 | 0.57 per 1,000 uninfected population ages 15-49 | 0.94 per 1,000 uninfected population ages 15-49 | 5 |
Countries ranked near Guinea-Bissau
- 28 Gambia 0.65 per 1,000 uninfected population ages 15-49 compare
- 29 Panama 0.63 per 1,000 uninfected population ages 15-49 compare
- 30 Togo 0.58 per 1,000 uninfected population ages 15-49 compare
- 31 Djibouti 0.57 per 1,000 uninfected population ages 15-49 compare
- 31 Dominican Republic 0.57 per 1,000 uninfected population ages 15-49 compare
- 31 Jamaica 0.57 per 1,000 uninfected population ages 15-49 compare
More health data for Guinea-Bissau
- Un projection of annual infant deaths, annual growth rate -1.67 % change on previous year (2100)
- Heat deaths vs projected death rates, annual growth rate 0.7721 % change on previous year (2090)
- Estimated changes in temperature-related death rates compared to projected death rates 1,070 deaths per 1,000 people (2090)
- Number of infants who die before age 1 941 deaths (2100)
- Neonatal tetanus - number of reported cases, gaps filled 0 (2025)
- Population ages 00-04, female, annual growth rate 0.899 % change on previous year (2025)
- Population ages 00-04, female, per unit of GDP 0.0001 units per US$ of GDP (2025)
- Population ages 00-04, female, per capita 0.0664 units per person (2025)
- Population ages 00-04, male, annual growth rate 0.8987 % change on previous year (2025)
- Population ages 00-04, male, per unit of GDP 0.0001 units per US$ of GDP (2025)
Frequently asked questions
- What is incidence of hiv, ages 15-49 in Guinea-Bissau?
- Incidence of hiv, ages 15-49 in Guinea-Bissau was 0.57 per 1,000 uninfected population ages 15-49 in 2024, according to UNAIDS estimates, Joint United Nations Programme on HIV/AIDS (UNAIDS).
- What is the highest incidence of hiv, ages 15-49 recorded in Guinea-Bissau?
- The highest recorded value was 8.2 per 1,000 uninfected population ages 15-49 in 1999.
- What is the lowest incidence of hiv, ages 15-49 recorded in Guinea-Bissau?
- The lowest recorded value was 0.57 per 1,000 uninfected population ages 15-49 in 2024.
- How does Guinea-Bissau rank for incidence of hiv, ages 15-49?
- Guinea-Bissau ranks 31st out of 146 countries with data for 2024.
- Is incidence of hiv, ages 15-49 rising or falling in Guinea-Bissau?
- Over the last ten years it is down 70.0%. The long-run trend across the full record is volatile.
- Where does this Guinea-Bissau data come from?
- The figures come from UNAIDS estimates, Joint United Nations Programme on HIV/AIDS (UNAIDS), published as part of Incidence of HIV, ages 15-49 (per 1,000 uninfected population ages 15-49). Statizoid updates them automatically from the source API.
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About this data
Number of new HIV infections among uninfected populations ages 15-49 expressed per 1,000 uninfected population in the year before the period.