Equatorial Guinea vs Somalia: AIDS deaths in adults and children
Equatorial Guinea
1,000 low estimate
in 2009
Somalia
1,200 low estimate
in 2009
Equatorial Guinea rank
36th
Somalia rank
35th
AIDS deaths in adults and children over time
- Equatorial Guinea
- Somalia
How they compare
Somalia currently reports 1,200 low estimate against 1,000 low estimate in Equatorial Guinea, a difference of 200 low estimate.
That makes Somalia's figure about 1.2 times Equatorial Guinea's.
The two have swapped places 2 times across 20 shared years of data; in 1990 it was Somalia ahead.
Equatorial Guinea ranks 36th and Somalia ranks 35th of 48 countries.
Equatorial Guinea has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Equatorial Guinea | Somalia | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 100 low estimate | 100 low estimate | 0 low estimate | — |
| 2000s | 560 low estimate | 480 low estimate | 80 low estimate | Equatorial Guinea |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher aids deaths in adults and children, Equatorial Guinea or Somalia?
- Somalia, at 1,200 low estimate against 1,000 low estimate in Equatorial Guinea as of 2009.
- What is the difference in aids deaths in adults and children between Equatorial Guinea and Somalia?
- 200 low estimate, with Somalia ahead.
- How many years of comparable data are there for Equatorial Guinea and Somalia?
- 20 years are reported by both, from 1990 to 2009.
- How do Equatorial Guinea and Somalia rank globally for aids deaths in adults and children?
- Equatorial Guinea ranks 36th and Somalia ranks 35th 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 (low 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.