AIDS deaths in adults and children in Rwanda
Rwanda: AIDS deaths in adults and children was 9,700 high estimate in 2009. ▼ Falling
AIDS deaths in adults and children in Rwanda, 1990–2009
Source: UNAIDS and the WHO's Report on the Global AIDS Epidemic. Measured in high estimate.
Analysis
The most recent figure for aids deaths in adults and children in Rwanda is 9,700 high estimate, measured in 2009.
The figure is up 6.6% on the previous year and down 53.8% over ten years.
Over the whole period, aids deaths in adults and children in Rwanda peaked at 21,000 high estimate in 1999 and was at its lowest, 9,100 high estimate, in 2008.
That places Rwanda 24th out of 48 countries with data for 2009, putting it in the middle of the range.
The long-run direction has been consistently falling across the 20 years of available data.
AIDS deaths in adults and children in Rwanda, year by year
| Year | high estimate | Change |
|---|---|---|
| 1990 | 13,000 high estimate | — |
| 1991 | 15,000 high estimate | +15.4% |
| 1992 | 16,000 high estimate | +6.7% |
| 1993 | 17,000 high estimate | +6.2% |
| 1994 | 16,000 high estimate | -5.9% |
| 1995 | 17,000 high estimate | +6.2% |
| 1996 | 18,000 high estimate | +5.9% |
| 1997 | 19,000 high estimate | +5.6% |
| 1998 | 20,000 high estimate | +5.3% |
| 1999 | 21,000 high estimate | +5.0% |
| 2000 | 21,000 high estimate | +0.0% |
| 2001 | 21,000 high estimate | +0.0% |
| 2002 | 21,000 high estimate | +0.0% |
| 2003 | 20,000 high estimate | -4.8% |
| 2004 | 20,000 high estimate | +0.0% |
| 2005 | 16,000 high estimate | -20.0% |
| 2006 | 13,000 high estimate | -18.8% |
| 2007 | 11,000 high estimate | -15.4% |
| 2008 | 9,100 high estimate | -17.3% |
| 2009 | 9,700 high estimate | +6.6% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 17,200 high estimate | 13,000 high estimate | 21,000 high estimate | 10 |
| 2000s | 16,180 high estimate | 9,100 high estimate | 21,000 high estimate | 10 |
Countries ranked near Rwanda
More health data for Rwanda
- Un projection of annual infant deaths, annual growth rate -1.08 % change on previous year (2100)
- Heat deaths vs projected death rates, annual growth rate 0.891 % change on previous year (2090)
- Estimated changes in temperature-related death rates compared to projected death rates 860.6 deaths per 1,000 people (2090)
- Number of infants who die before age 1 2,738 deaths (2100)
- Population ages 0-14, female, annual growth rate 1.21 % change on previous year (2025)
- Population ages 0-14, female, per unit of GDP 0.0002 units per US$ of GDP (2025)
- Population ages 0-14, female, per capita 0.184 units per person (2025)
- Population ages 0-14, male, annual growth rate 1.31 % change on previous year (2025)
- Population ages 0-14, male, per unit of GDP 0.0002 units per US$ of GDP (2025)
- Population ages 0-14, male, per capita 0.1862 units per person (2025)
Frequently asked questions
- What is aids deaths in adults and children in Rwanda?
- Aids deaths in adults and children in Rwanda was 9,700 high estimate in 2009, according to UNAIDS and the WHO's Report on the Global AIDS Epidemic.
- What is the highest aids deaths in adults and children recorded in Rwanda?
- The highest recorded value was 21,000 high estimate in 1999.
- What is the lowest aids deaths in adults and children recorded in Rwanda?
- The lowest recorded value was 9,100 high estimate in 2008.
- How does Rwanda rank for aids deaths in adults and children?
- Rwanda ranks 24th out of 48 countries with data for 2009.
- Is aids deaths in adults and children rising or falling in Rwanda?
- Over the last ten years it is down 53.8%. The long-run trend across the full record is falling.
- Where does this Rwanda data come from?
- The figures come from UNAIDS and the WHO's Report on the Global AIDS Epidemic, published as part of AIDS deaths in adults and children (high estimate). Statizoid updates them automatically from the source API.
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About this data
Deaths due to HIV/AIDS are the estimated number of adults and children that have died in a specific year based in the modeling of HIV surveillance data using standard and appropriate tools.