Guinea-Bissau vs Madagascar: AIDS deaths in adults and children
Guinea-Bissau
1,000 low estimate
in 2009
Madagascar
1,400 low estimate
in 2009
Guinea-Bissau rank
36th
Madagascar rank
34th
AIDS deaths in adults and children over time
- Guinea-Bissau
- Madagascar
How they compare
Madagascar currently reports 1,400 low estimate against 1,000 low estimate in Guinea-Bissau, a difference of 400 low estimate.
That makes Madagascar's figure about 1.4 times Guinea-Bissau's.
Across all 20 years both countries report, Madagascar has been ahead every year.
Guinea-Bissau ranks 36th and Madagascar ranks 34th of 48 countries.
Madagascar has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Guinea-Bissau | Madagascar | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 240 low estimate | 1,000 low estimate | 760 low estimate | Madagascar |
| 2000s | 960 low estimate | 1,240 low estimate | 280 low estimate | Madagascar |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher aids deaths in adults and children, Guinea-Bissau or Madagascar?
- Madagascar, at 1,400 low estimate against 1,000 low estimate in Guinea-Bissau as of 2009.
- What is the difference in aids deaths in adults and children between Guinea-Bissau and Madagascar?
- 400 low estimate, with Madagascar ahead.
- How many years of comparable data are there for Guinea-Bissau and Madagascar?
- 20 years are reported by both, from 1990 to 2009.
- How do Guinea-Bissau and Madagascar rank globally for aids deaths in adults and children?
- Guinea-Bissau ranks 36th and Madagascar ranks 34th 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.