Cuba vs Myanmar: Climate related disasters frequency, Number of People Affected: Storm
Cuba
4.59 million
in 2024
Myanmar
1.00 million
in 2024
Cuba rank
5th
Myanmar rank
7th
Climate related disasters frequency, Number of People Affected: Storm over time
- Cuba
- Myanmar
How they compare
Cuba currently reports 4.59 million against 1.00 million in Myanmar, a difference of 3.59 million.
That makes Cuba's figure about 4.6 times Myanmar's.
The two have swapped places 4 times across 9 shared years of data; in 1982 it was Cuba ahead.
Cuba ranks 5th and Myanmar ranks 7th of 112 countries.
Across the 5 decades both report, Cuba averaged higher in 4 and Myanmar in 1.
Head to head by decade
| Decade | Cuba | Myanmar | Difference | Ahead |
|---|---|---|---|---|
| 1980s | 180,000 | 36,000 | 144,000 | Cuba |
| 1990s | 110,558 | 64,970 | 45,588 | Cuba |
| 2000s | 248,994 | 835,035 | 586,041 | Myanmar |
| 2010s | 5.09 million | 103,738 | 4.99 million | Cuba |
| 2020s | 2.29 million | 1.10 million | 1.19 million | Cuba |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher climate related disasters frequency, number of people affected: storm, Cuba or Myanmar?
- Cuba, at 4.59 million against 1.00 million in Myanmar as of 2024.
- What is the difference in climate related disasters frequency, number of people affected: storm between Cuba and Myanmar?
- 3.59 million, with Cuba ahead.
- How many years of comparable data are there for Cuba and Myanmar?
- 9 years are reported by both, from 1982 to 2024.
- How do Cuba and Myanmar rank globally for climate related disasters frequency, number of people affected: storm?
- Cuba ranks 5th and Myanmar ranks 7th of 112 countries.
- Where does this data come from?
- International Monetary Fund, published as Climate related disasters frequency, Number of People Affected: Storm (Not Applicable). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
This dataset provides information on global climate and weather patterns, providing insights into temperature variations, land cover accounts, and shifts in mean sea levels.