Kenya vs Tanzania: People living with HIV/AIDS, total (high estimate)
Kenya
1.60 million high estimate
in 2009
Tanzania
1.50 million high estimate
in 2009
Kenya rank
3rd
Tanzania rank
4th
People living with HIV/AIDS, total (high estimate) over time
- Kenya
- Tanzania
How they compare
Kenya currently reports 1.60 million high estimate against 1.50 million high estimate in Tanzania, a difference of 100,000 high estimate.
That makes Kenya's figure about 1.1 times Tanzania's.
The two have swapped places 2 times across 20 shared years of data; in 1990 it was Kenya ahead.
Kenya ranks 3rd and Tanzania ranks 4th of 48 countries.
Kenya has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Kenya | Tanzania | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 1.35 million high estimate | 1.19 million high estimate | 163,000 high estimate | Kenya |
| 2000s | 1.59 million high estimate | 1.50 million high estimate | 90,000 high estimate | Kenya |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher people living with hiv/aids, total, Kenya or Tanzania?
- Kenya, at 1.60 million high estimate against 1.50 million high estimate in Tanzania as of 2009.
- What is the difference in people living with hiv/aids, total between Kenya and Tanzania?
- 100,000 high estimate, with Kenya ahead.
- How many years of comparable data are there for Kenya and Tanzania?
- 20 years are reported by both, from 1990 to 2009.
- How do Kenya and Tanzania rank globally for people living with hiv/aids, total?
- Kenya ranks 3rd and Tanzania ranks 4th 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.