Cuba vs Mongolia: Climate related disasters frequency, Number of People Affected: Storm
Cuba
4.59 million
in 2024
Mongolia
669,367
in 2023
Cuba rank
5th
Mongolia rank
8th
Climate related disasters frequency, Number of People Affected: Storm over time
- Cuba
- Mongolia
How they compare
Cuba currently reports 4.59 million against 669,367 in Mongolia, a difference of 3.92 million.
That makes Cuba's figure about 6.9 times Mongolia's.
The two have swapped places 3 times across 9 shared years of data; in 1993 it was Cuba ahead.
Cuba ranks 5th and Mongolia ranks 8th of 112 countries.
Across the 4 decades both report, Cuba averaged higher in 3 and Mongolia in 1.
Head to head by decade
| Decade | Cuba | Mongolia | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 149,775 | 100,000 | 49,775 | Cuba |
| 2000s | 2.24 million | 280,000 | 1.96 million | Cuba |
| 2010s | 25,326 | 250 | 25,076 | Cuba |
| 2020s | 1,444 | 233,164 | 231,719 | Mongolia |
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 Mongolia?
- Cuba, at 4.59 million against 669,367 in Mongolia as of 2024.
- What is the difference in climate related disasters frequency, number of people affected: storm between Cuba and Mongolia?
- 3.92 million, with Cuba ahead.
- How many years of comparable data are there for Cuba and Mongolia?
- 9 years are reported by both, from 1993 to 2023.
- How do Cuba and Mongolia rank globally for climate related disasters frequency, number of people affected: storm?
- Cuba ranks 5th and Mongolia ranks 8th 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.