Myanmar vs Papua New Guinea: New HIV infections
Myanmar
10,650 infections
in 2024
Papua New Guinea
10,934 infections
in 2024
Myanmar rank
21st
Papua New Guinea rank
20th
New HIV infections over time
- Myanmar
- Papua New Guinea
How they compare
Papua New Guinea currently reports 10,934 infections against 10,650 infections in Myanmar, a difference of 284 infections.
The two have swapped places 1 time across 35 shared years of data; in 1990 it was Myanmar ahead.
Myanmar ranks 21st and Papua New Guinea ranks 20th of 144 countries.
Myanmar has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Myanmar | Papua New Guinea | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 17,118 infections | 2,454 infections | 14,664 infections | Myanmar |
| 2000s | 22,783 infections | 5,064 infections | 17,718 infections | Myanmar |
| 2010s | 14,973 infections | 6,810 infections | 8,162 infections | Myanmar |
| 2020s | 11,174 infections | 10,072 infections | 1,102 infections | Myanmar |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher new hiv infections, Myanmar or Papua New Guinea?
- Papua New Guinea, at 10,934 infections against 10,650 infections in Myanmar as of 2024.
- What is the difference in new hiv infections between Myanmar and Papua New Guinea?
- 284 infections, with Papua New Guinea ahead.
- How many years of comparable data are there for Myanmar and Papua New Guinea?
- 35 years are reported by both, from 1990 to 2024.
- How do Myanmar and Papua New Guinea rank globally for new hiv infections?
- Myanmar ranks 21st and Papua New Guinea ranks 20th of 144 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 New HIV infections. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Number of people newly infected with HIV in the last 12 months. This is the central estimate.