Algeria vs Eritrea: New HIV infections, low estimate

Algeria
1,100
in 2009
Eritrea
1,000
in 2009
Algeria rank
40th
Eritrea rank
41st

New HIV infections, low estimate over time

  • Algeria
  • Eritrea
05001.0k1.5k2.0k2.5k199019992009

How they compare

Algeria currently reports 1,100 against 1,000 in Eritrea, a difference of 100.

That makes Algeria's figure about 1.1 times Eritrea's.

The two have swapped places 1 time across 20 shared years of data; in 1990 it was Eritrea ahead.

Algeria ranks 40th and Eritrea ranks 41st of 48 countries.

Eritrea has averaged higher in every one of the 2 decades both report.

Head to head by decade

Decade Algeria Eritrea Difference Ahead
1990s 330 1,860 1,530 Eritrea
2000s 1,160 1,290 130 Eritrea

Averages of every year both report within each decade.

Frequently asked questions

Which has higher new hiv infections, low estimate, Algeria or Eritrea?
Algeria, at 1,100 against 1,000 in Eritrea as of 2009.
What is the difference in new hiv infections, low estimate between Algeria and Eritrea?
100, with Algeria ahead.
How many years of comparable data are there for Algeria and Eritrea?
20 years are reported by both, from 1990 to 2009.
How do Algeria and Eritrea rank globally for new hiv infections, low estimate?
Algeria ranks 40th and Eritrea ranks 41st of 48 countries.
Where does this data come from?
UNAIDS and the WHO's Report on the Global AIDS Epidemic, published as New HIV infections, low estimate. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Algeria vs Eritrea: New HIV infections, low estimate. Statizoid, drawing on UNAIDS and the WHO's Report on the Global AIDS Epidemic. Retrieved 26 August 2026, from https://health.statizoid.com/compare/new-hiv-infections-low-estimate/algeria/eritrea/

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About this data

Indicator
New HIV infections, low estimate
Source
UNAIDS and the WHO's Report on the Global AIDS Epidemic
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
54 places, 1,080 data points, 1990–2009
Last refreshed

Estimated number of people newly infected with HIV, low estimate.