Senegal vs Sierra Leone: AIDS deaths in adults and children
Senegal
3,500 high estimate
in 2009
Sierra Leone
3,700 high estimate
in 2009
Senegal rank
33rd
Sierra Leone rank
31st
AIDS deaths in adults and children over time
- Senegal
- Sierra Leone
How they compare
Sierra Leone currently reports 3,700 high estimate against 3,500 high estimate in Senegal, a difference of 200 high estimate.
That makes Sierra Leone's figure about 1.1 times Senegal's.
The two have swapped places 1 time across 20 shared years of data; in 1990 it was Senegal ahead.
Senegal ranks 33rd and Sierra Leone ranks 31st of 48 countries.
Across the 2 decades both report, Senegal averaged higher in 1 and Sierra Leone in 1.
Head to head by decade
| Decade | Senegal | Sierra Leone | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 1,070 high estimate | 600 high estimate | 470 high estimate | Senegal |
| 2000s | 2,880 high estimate | 3,070 high estimate | 190 high estimate | Sierra Leone |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher aids deaths in adults and children, Senegal or Sierra Leone?
- Sierra Leone, at 3,700 high estimate against 3,500 high estimate in Senegal as of 2009.
- What is the difference in aids deaths in adults and children between Senegal and Sierra Leone?
- 200 high estimate, with Sierra Leone ahead.
- How many years of comparable data are there for Senegal and Sierra Leone?
- 20 years are reported by both, from 1990 to 2009.
- How do Senegal and Sierra Leone rank globally for aids deaths in adults and children?
- Senegal ranks 33rd and Sierra Leone ranks 31st 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.