Djibouti vs Equatorial Guinea: AIDS deaths in adults and children
Djibouti
1,400 high estimate
in 2009
Equatorial Guinea
1,400 high estimate
in 2009
Djibouti rank
40th
Equatorial Guinea rank
40th
AIDS deaths in adults and children over time
- Djibouti
- Equatorial Guinea
How they compare
Djibouti currently reports 1,400 high estimate against 1,400 high estimate in Equatorial Guinea, a difference of 0 high estimate.
The two have swapped places 1 time across 20 shared years of data; in 1990 it was Djibouti ahead.
Djibouti ranks 40th and Equatorial Guinea ranks 40th of 48 countries.
Djibouti has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Djibouti | Equatorial Guinea | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 1,060 high estimate | 160 high estimate | 900 high estimate | Djibouti |
| 2000s | 1,360 high estimate | 940 high estimate | 420 high estimate | Djibouti |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher aids deaths in adults and children, Djibouti or Equatorial Guinea?
- Djibouti, at 1,400 high estimate against 1,400 high estimate in Equatorial Guinea as of 2009.
- What is the difference in aids deaths in adults and children between Djibouti and Equatorial Guinea?
- 0 high estimate, with Djibouti ahead.
- How many years of comparable data are there for Djibouti and Equatorial Guinea?
- 20 years are reported by both, from 1990 to 2009.
- How do Djibouti and Equatorial Guinea rank globally for aids deaths in adults and children?
- Djibouti ranks 40th and Equatorial Guinea ranks 40th 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.