Bangladesh vs Zambia: People affected by disaster, Number
Bangladesh
49.45 million
in 2024
Zambia
9.80 million
in 2024
Bangladesh rank
1st
Zambia rank
3rd
People affected by disaster, Number over time
- Bangladesh
- Zambia
How they compare
Bangladesh currently reports 49.45 million against 9.80 million in Zambia, a difference of 39.65 million.
That makes Bangladesh's figure about 5.0 times Zambia's.
The two have swapped places 4 times across 24 shared years of data; in 1982 it was Bangladesh ahead.
Bangladesh ranks 1st and Zambia ranks 3rd of 183 countries.
Bangladesh has averaged higher in every one of the 5 decades both report.
Head to head by decade
| Decade | Bangladesh | Zambia | Difference | Ahead |
|---|---|---|---|---|
| 1980s | 10.93 million | 266,667 | 10.66 million | Bangladesh |
| 1990s | 16.93 million | 1.42 million | 15.50 million | Bangladesh |
| 2000s | 8.78 million | 528,079 | 8.25 million | Bangladesh |
| 2010s | 3.04 million | 290,905 | 2.75 million | Bangladesh |
| 2020s | 14.10 million | 2.46 million | 11.65 million | Bangladesh |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher people affected by disaster, number, Bangladesh or Zambia?
- Bangladesh, at 49.45 million against 9.80 million in Zambia as of 2024.
- What is the difference in people affected by disaster, number between Bangladesh and Zambia?
- 39.65 million, with Bangladesh ahead.
- How many years of comparable data are there for Bangladesh and Zambia?
- 24 years are reported by both, from 1982 to 2024.
- How do Bangladesh and Zambia rank globally for people affected by disaster, number?
- Bangladesh ranks 1st and Zambia ranks 3rd 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.