Equatorial Guinea vs Eritrea: People living with HIV/AIDS, total
Equatorial Guinea
14,000 low estimate
in 2009
Eritrea
18,000 low estimate
in 2009
Equatorial Guinea rank
40th
Eritrea rank
38th
People living with HIV/AIDS, total over time
- Equatorial Guinea
- Eritrea
How they compare
Eritrea currently reports 18,000 low estimate against 14,000 low estimate in Equatorial Guinea, a difference of 4,000 low estimate.
That makes Eritrea's figure about 1.3 times Equatorial Guinea's.
Across all 20 years both countries report, Eritrea has been ahead every year.
Equatorial Guinea ranks 40th and Eritrea ranks 38th of 48 countries.
Eritrea has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Equatorial Guinea | Eritrea | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 740 low estimate | 8,580 low estimate | 7,840 low estimate | Eritrea |
| 2000s | 8,620 low estimate | 19,700 low estimate | 11,080 low estimate | Eritrea |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher people living with hiv/aids, total, Equatorial Guinea or Eritrea?
- Eritrea, at 18,000 low estimate against 14,000 low estimate in Equatorial Guinea as of 2009.
- What is the difference in people living with hiv/aids, total between Equatorial Guinea and Eritrea?
- 4,000 low estimate, with Eritrea ahead.
- How many years of comparable data are there for Equatorial Guinea and Eritrea?
- 20 years are reported by both, from 1990 to 2009.
- How do Equatorial Guinea and Eritrea rank globally for people living with hiv/aids, total?
- Equatorial Guinea ranks 40th and Eritrea ranks 38th 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.