Guinea-Bissau vs Somalia: People living with HIV/AIDS, total
Guinea-Bissau
18,000 low estimate
in 2009
Somalia
25,000 low estimate
in 2009
Guinea-Bissau rank
38th
Somalia rank
35th
People living with HIV/AIDS, total over time
- Guinea-Bissau
- Somalia
How they compare
Somalia currently reports 25,000 low estimate against 18,000 low estimate in Guinea-Bissau, a difference of 7,000 low estimate.
That makes Somalia's figure about 1.4 times Guinea-Bissau's.
The two have swapped places 1 time across 20 shared years of data; in 1990 it was Guinea-Bissau ahead.
Guinea-Bissau ranks 38th and Somalia ranks 35th of 48 countries.
Guinea-Bissau has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Guinea-Bissau | Somalia | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 3,880 low estimate | 100 low estimate | 3,780 low estimate | Guinea-Bissau |
| 2000s | 14,800 low estimate | 10,960 low estimate | 3,840 low estimate | Guinea-Bissau |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher people living with hiv/aids, total, Guinea-Bissau or Somalia?
- Somalia, at 25,000 low estimate against 18,000 low estimate in Guinea-Bissau as of 2009.
- What is the difference in people living with hiv/aids, total between Guinea-Bissau and Somalia?
- 7,000 low estimate, with Somalia ahead.
- How many years of comparable data are there for Guinea-Bissau and Somalia?
- 20 years are reported by both, from 1990 to 2009.
- How do Guinea-Bissau and Somalia rank globally for people living with hiv/aids, total?
- Guinea-Bissau ranks 38th 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 People living with HIV/AIDS, total (low estimate). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Estimated total number of people with HIV/AIDS is the number of people living with HIV. Depending on the reliability of the data available, there may be more or less uncertainty surrounding each estimate.