Kenya vs South Africa: AIDS deaths in adults and children
Kenya
99,000 high estimate
in 2009
South Africa
390,000 high estimate
in 2009
Kenya rank
4th
South Africa rank
1st
AIDS deaths in adults and children over time
- Kenya
- South Africa
How they compare
South Africa currently reports 390,000 high estimate against 99,000 high estimate in Kenya, a difference of 291,000 high estimate.
That makes South Africa's figure about 3.9 times Kenya's.
The two have swapped places 1 time across 20 shared years of data; in 1990 it was Kenya ahead.
Kenya ranks 4th and South Africa ranks 1st of 48 countries.
Across the 2 decades both report, Kenya averaged higher in 1 and South Africa in 1.
Head to head by decade
| Decade | Kenya | South Africa | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 77,500 high estimate | 52,690 high estimate | 24,810 high estimate | Kenya |
| 2000s | 133,900 high estimate | 359,000 high estimate | 225,100 high estimate | South Africa |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher aids deaths in adults and children, Kenya or South Africa?
- South Africa, at 390,000 high estimate against 99,000 high estimate in Kenya as of 2009.
- What is the difference in aids deaths in adults and children between Kenya and South Africa?
- 291,000 high estimate, with South Africa ahead.
- How many years of comparable data are there for Kenya and South Africa?
- 20 years are reported by both, from 1990 to 2009.
- How do Kenya and South Africa rank globally for aids deaths in adults and children?
- Kenya ranks 4th and South Africa ranks 1st of 48 countries.
- Where does this data come from?
- UNAIDS and the WHO's Report on the Global AIDS Epidemic, published as AIDS deaths in adults and children (high estimate). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
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.