Myanmar vs Saint Kitts and Nevis: Share of the population living with HIV
Myanmar
0.9%
in 2024
Saint Kitts and Nevis
0.8%
in 2024
Myanmar rank
47th
Saint Kitts and Nevis rank
49th
Share of the population living with HIV over time
- Myanmar
- Saint Kitts and Nevis
How they compare
Myanmar currently reports 0.9% against 0.8% in Saint Kitts and Nevis, a difference of 0.1%.
That makes Myanmar's figure about 1.1 times Saint Kitts and Nevis's.
The two have swapped places 1 time across 35 shared years of data; in 1990 it was Saint Kitts and Nevis ahead.
Myanmar ranks 47th and Saint Kitts and Nevis ranks 49th of 150 countries.
Myanmar has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Myanmar | Saint Kitts and Nevis | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 0.4% | 0.3% | 0.1% | Myanmar |
| 2000s | 0.8% | 0.4% | 0.4% | Myanmar |
| 2010s | 0.9% | 0.6% | 0.3% | Myanmar |
| 2020s | 0.9% | 0.7% | 0.1% | Myanmar |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher share of the population living with hiv, Myanmar or Saint Kitts and Nevis?
- Myanmar, at 0.9% against 0.8% in Saint Kitts and Nevis as of 2024.
- What is the difference in share of the population living with hiv between Myanmar and Saint Kitts and Nevis?
- 0.1%, with Myanmar ahead.
- How many years of comparable data are there for Myanmar and Saint Kitts and Nevis?
- 35 years are reported by both, from 1990 to 2024.
- How do Myanmar and Saint Kitts and Nevis rank globally for share of the population living with hiv?
- Myanmar ranks 47th and Saint Kitts and Nevis ranks 49th 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.