Bangladesh vs India: People affected by disaster, Number
Bangladesh
49.45 million
in 2024
India
18.83 million
in 2024
Bangladesh rank
1st
India rank
2nd
People affected by disaster, Number over time
- Bangladesh
- India
How they compare
Bangladesh currently reports 49.45 million against 18.83 million in India, a difference of 30.62 million.
That makes Bangladesh's figure about 2.6 times India's.
The two have swapped places 13 times across 45 shared years of data; in 1980 it was India ahead.
Bangladesh ranks 1st and India ranks 2nd of 183 countries.
Across the 5 decades both report, Bangladesh averaged higher in 1 and India in 4.
Head to head by decade
| Decade | Bangladesh | India | Difference | Ahead |
|---|---|---|---|---|
| 1980s | 16.55 million | 57.31 million | 40.75 million | India |
| 1990s | 8.19 million | 31.43 million | 23.24 million | India |
| 2000s | 7.21 million | 60.34 million | 53.12 million | India |
| 2010s | 3.95 million | 47.20 million | 43.25 million | India |
| 2020s | 14.10 million | 11.93 million | 2.17 million | Bangladesh |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher people affected by disaster, number, Bangladesh or India?
- Bangladesh, at 49.45 million against 18.83 million in India as of 2024.
- What is the difference in people affected by disaster, number between Bangladesh and India?
- 30.62 million, with Bangladesh ahead.
- How many years of comparable data are there for Bangladesh and India?
- 45 years are reported by both, from 1980 to 2024.
- How do Bangladesh and India rank globally for people affected by disaster, number?
- Bangladesh ranks 1st and India ranks 2nd of 183 countries.
- Where does this data come from?
- International Monetary Fund, published as People affected by disaster, Number (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.