Djibouti vs Guinea-Bissau: AIDS deaths in adults and children
Djibouti
1,400 high estimate
in 2009
Guinea-Bissau
1,600 high estimate
in 2009
Djibouti rank
40th
Guinea-Bissau rank
38th
AIDS deaths in adults and children over time
- Djibouti
- Guinea-Bissau
How they compare
Guinea-Bissau currently reports 1,600 high estimate against 1,400 high estimate in Djibouti, a difference of 200 high estimate.
That makes Guinea-Bissau's figure about 1.1 times Djibouti's.
The two have swapped places 1 time across 20 shared years of data; in 1990 it was Djibouti ahead.
Djibouti ranks 40th and Guinea-Bissau ranks 38th of 48 countries.
Across the 2 decades both report, Djibouti averaged higher in 1 and Guinea-Bissau in 1.
Head to head by decade
| Decade | Djibouti | Guinea-Bissau | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 1,060 high estimate | 470 high estimate | 590 high estimate | Djibouti |
| 2000s | 1,360 high estimate | 1,370 high estimate | 10 high estimate | Guinea-Bissau |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher aids deaths in adults and children, Djibouti or Guinea-Bissau?
- Guinea-Bissau, at 1,600 high estimate against 1,400 high estimate in Djibouti as of 2009.
- What is the difference in aids deaths in adults and children between Djibouti and Guinea-Bissau?
- 200 high estimate, with Guinea-Bissau ahead.
- How many years of comparable data are there for Djibouti and Guinea-Bissau?
- 20 years are reported by both, from 1990 to 2009.
- How do Djibouti and Guinea-Bissau rank globally for aids deaths in adults and children?
- Djibouti ranks 40th and Guinea-Bissau ranks 38th 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.