Eswatini vs Rwanda: People living with HIV/AIDS, total
Eswatini
200,000 high estimate
in 2009
Rwanda
190,000 high estimate
in 2009
Eswatini rank
20th
Rwanda rank
21st
People living with HIV/AIDS, total over time
- Eswatini
- Rwanda
How they compare
Eswatini currently reports 200,000 high estimate against 190,000 high estimate in Rwanda, a difference of 10,000 high estimate.
That makes Eswatini's figure about 1.1 times Rwanda's.
The two have swapped places 3 times across 20 shared years of data; in 1990 it was Rwanda ahead.
Eswatini ranks 20th and Rwanda ranks 21st of 48 countries.
Rwanda has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Eswatini | Rwanda | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 55,500 high estimate | 219,000 high estimate | 163,500 high estimate | Rwanda |
| 2000s | 169,000 high estimate | 195,000 high estimate | 26,000 high estimate | Rwanda |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher people living with hiv/aids, total, Eswatini or Rwanda?
- Eswatini, at 200,000 high estimate against 190,000 high estimate in Rwanda as of 2009.
- What is the difference in people living with hiv/aids, total between Eswatini and Rwanda?
- 10,000 high estimate, with Eswatini ahead.
- How many years of comparable data are there for Eswatini and Rwanda?
- 20 years are reported by both, from 1990 to 2009.
- How do Eswatini and Rwanda rank globally for people living with hiv/aids, total?
- Eswatini ranks 20th and Rwanda ranks 21st of 48 countries.
- Where does this data come from?
- UNAIDS and the WHO's Report on the Global AIDS Epidemic, published as People living with HIV/AIDS, total (high estimate). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Estimated total number of people with HIV/AIDS is the number of people living with HIV. Depending on the reliability of the data available, there may be more or less uncertainty surrounding each estimate.