Jamaica vs Palestine, State of: Share of the population living with HIV
Jamaica
1.1%
in 2024
Palestine, State of
1.2%
in 2024
Jamaica rank
34th
Palestine, State of rank
31st
Share of the population living with HIV over time
- Jamaica
- Palestine, State of
How they compare
Palestine, State of currently reports 1.2% against 1.1% in Jamaica, a difference of 0.1%.
That makes Palestine, State of's figure about 1.1 times Jamaica's.
The two have swapped places 1 time across 35 shared years of data; in 1990 it was Jamaica ahead.
Jamaica ranks 34th and Palestine, State of ranks 31st of 150 countries.
Across the 4 decades both report, Jamaica averaged higher in 3 and Palestine, State of in 1.
Head to head by decade
| Decade | Jamaica | Palestine, State of | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 1.2% | 0.1% | 1.1% | Jamaica |
| 2000s | 1.7% | 0.4% | 1.2% | Jamaica |
| 2010s | 1.4% | 1.0% | 0.3% | Jamaica |
| 2020s | 1.2% | 1.2% | 0.0% | Palestine, State of |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher share of the population living with hiv, Jamaica or Palestine, State of?
- Palestine, State of, at 1.2% against 1.1% in Jamaica as of 2024.
- What is the difference in share of the population living with hiv between Jamaica and Palestine, State of?
- 0.1%, with Palestine, State of ahead.
- How many years of comparable data are there for Jamaica and Palestine, State of?
- 35 years are reported by both, from 1990 to 2024.
- How do Jamaica and Palestine, State of rank globally for share of the population living with hiv?
- Jamaica ranks 34th and Palestine, State of ranks 31st of 150 countries.
- Where does this data come from?
- Joint United Nations Programme on HIV/AIDS (2026) – with minor processing by Our World in Data, published as Share of the population living with HIV. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Share of people aged 15-49 who test positive for HIV at a given time. This is the central estimate.