Afghanistan vs Mongolia: Climate related disasters frequency, Number of People Affected: Flood
Afghanistan
312,504
in 2024
Mongolia
289,968
in 2023
Afghanistan rank
24th
Mongolia rank
26th
Climate related disasters frequency, Number of People Affected: Flood over time
- Afghanistan
- Mongolia
How they compare
Afghanistan currently reports 312,504 against 289,968 in Mongolia, a difference of 22,536.
That makes Afghanistan's figure about 1.1 times Mongolia's.
The two have swapped places 3 times across 9 shared years of data; in 1996 it was Afghanistan ahead.
Afghanistan ranks 24th and Mongolia ranks 26th of 135 countries.
Afghanistan has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Afghanistan | Mongolia | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 9,855 | 0 | 9,855 | Afghanistan |
| 2000s | 33,134 | 8,325 | 24,810 | Afghanistan |
| 2010s | 67,471 | 4,400 | 63,070 | Afghanistan |
| 2020s | 118,361 | 81,924 | 36,437 | Afghanistan |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher climate related disasters frequency, number of people affected: flood, Afghanistan or Mongolia?
- Afghanistan, at 312,504 against 289,968 in Mongolia as of 2024.
- What is the difference in climate related disasters frequency, number of people affected: flood between Afghanistan and Mongolia?
- 22,536, with Afghanistan ahead.
- How many years of comparable data are there for Afghanistan and Mongolia?
- 9 years are reported by both, from 1996 to 2023.
- How do Afghanistan and Mongolia rank globally for climate related disasters frequency, number of people affected: flood?
- Afghanistan ranks 24th and Mongolia ranks 26th of 135 countries.
- Where does this data come from?
- International Monetary Fund, published as Climate related disasters frequency, Number of People Affected: Flood (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.