India vs Nepal: Climate related disasters frequency, Number of People Affected: Flood
India
12.81 million
in 2024
Nepal
2.59 million
in 2024
India rank
1st
Nepal rank
3rd
Climate related disasters frequency, Number of People Affected: Flood over time
- India
- Nepal
How they compare
India currently reports 12.81 million against 2.59 million in Nepal, a difference of 10.21 million.
That makes India's figure about 4.9 times Nepal's.
The two have swapped places 2 times across 37 shared years of data; in 1981 it was India ahead.
India ranks 1st and Nepal ranks 3rd of 135 countries.
India has averaged higher in every one of the 5 decades both report.
Head to head by decade
| Decade | India | Nepal | Difference | Ahead |
|---|---|---|---|---|
| 1980s | 15.14 million | 77,951 | 15.06 million | India |
| 1990s | 33.43 million | 115,671 | 33.31 million | India |
| 2000s | 23.10 million | 261,179 | 22.84 million | India |
| 2010s | 9.01 million | 224,959 | 8.79 million | India |
| 2020s | 5.69 million | 544,409 | 5.15 million | India |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher climate related disasters frequency, number of people affected: flood, India or Nepal?
- India, at 12.81 million against 2.59 million in Nepal as of 2024.
- What is the difference in climate related disasters frequency, number of people affected: flood between India and Nepal?
- 10.21 million, with India ahead.
- How many years of comparable data are there for India and Nepal?
- 37 years are reported by both, from 1981 to 2024.
- How do India and Nepal rank globally for climate related disasters frequency, number of people affected: flood?
- India ranks 1st and Nepal ranks 3rd 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.