Sub-Saharan Africa (excluding high income) vs Tanzania: AIDS deaths in adults and children
Sub-Saharan Africa (excluding high income)
1.30 million
in 2009
Tanzania
86,000
in 2009
Sub-Saharan Africa (excluding high income) rank
1st
Tanzania rank
3rd
AIDS deaths in adults and children over time
- Sub-Saharan Africa (excluding high income)
- Tanzania
How they compare
Sub-Saharan Africa (excluding high income) currently reports 1.30 million against 86,000 in Tanzania, a difference of 1.21 million.
That makes Sub-Saharan Africa (excluding high income)'s figure about 15.1 times Tanzania's.
Across all 5 years both countries report, Sub-Saharan Africa (excluding high income) has been ahead every year.
Sub-Saharan Africa (excluding high income) ranks 1st and Tanzania ranks 3rd of 1 groups.
Sub-Saharan Africa (excluding high income) has averaged higher in every one of the 1 decades both report.
Frequently asked questions
- Which has higher aids deaths in adults and children, Sub-Saharan Africa (excluding high income) or Tanzania?
- Sub-Saharan Africa (excluding high income), at 1.30 million against 86,000 in Tanzania as of 2009.
- What is the difference in aids deaths in adults and children between Sub-Saharan Africa (excluding high income) and Tanzania?
- 1.21 million, with Sub-Saharan Africa (excluding high income) ahead.
- How many years of comparable data are there for Sub-Saharan Africa (excluding high income) and Tanzania?
- 5 years are reported by both, from 2001 to 2009.
- How do Sub-Saharan Africa (excluding high income) and Tanzania rank globally for aids deaths in adults and children?
- Sub-Saharan Africa (excluding high income) ranks 1st and Tanzania ranks 3rd of 1 groups.
- 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. 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.