Comoros vs Tunisia: New HIV infections, high estimate

Comoros
100
in 2009
Tunisia
1,000
in 2009
Comoros rank
48th
Tunisia rank
47th

New HIV infections, high estimate over time

  • Comoros
  • Tunisia
02004006008001.0k199019992009

How they compare

Tunisia currently reports 1,000 against 100 in Comoros, a difference of 900.

That makes Tunisia's figure about 10.0 times Comoros's.

Across all 20 years both countries report, Tunisia has been ahead every year.

Comoros ranks 48th and Tunisia ranks 47th of 48 countries.

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

Head to head by decade

Decade Comoros Tunisia Difference Ahead
1990s 100 130 30 Tunisia
2000s 100 570 470 Tunisia

Averages of every year both report within each decade.

Frequently asked questions

Which has higher new hiv infections, high estimate, Comoros or Tunisia?
Tunisia, at 1,000 against 100 in Comoros as of 2009.
What is the difference in new hiv infections, high estimate between Comoros and Tunisia?
900, with Tunisia ahead.
How many years of comparable data are there for Comoros and Tunisia?
20 years are reported by both, from 1990 to 2009.
How do Comoros and Tunisia rank globally for new hiv infections, high estimate?
Comoros ranks 48th and Tunisia ranks 47th 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, high estimate. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Comoros vs Tunisia: New HIV infections, high estimate. Statizoid, drawing on UNAIDS and the WHO's Report on the Global AIDS Epidemic. Retrieved 24 August 2026, from https://health.statizoid.com/compare/new-hiv-infections-high-estimate/comoros/tunisia/

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About this data

Indicator
New HIV infections, high 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, 1,074 data points, 1990–2009
Last refreshed

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