Brazil vs Hong Kong, China: Climate related disasters frequency, Number of People Affected: Storm
Brazil
130
in 2025
Hong Kong, China
86
in 2023
Brazil rank
82nd
Hong Kong, China rank
84th
Climate related disasters frequency, Number of People Affected: Storm over time
- Brazil
- Hong Kong, China
How they compare
Brazil currently reports 130 against 86 in Hong Kong, China, a difference of 44.
That makes Brazil's figure about 1.5 times Hong Kong, China's.
The two have swapped places 1 time across 8 shared years of data; in 1980 it was Hong Kong, China ahead.
Brazil ranks 82nd and Hong Kong, China ranks 84th of 112 countries.
Brazil has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Brazil | Hong Kong, China | Difference | Ahead |
|---|---|---|---|---|
| 1980s | 13,087 | 883.75 | 12,203 | Brazil |
| 1990s | 676 | 255 | 421 | Brazil |
| 2000s | 1,982 | 278.5 | 1,704 | Brazil |
| 2020s | 343,274 | 86 | 343,188 | Brazil |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher climate related disasters frequency, number of people affected: storm, Brazil or Hong Kong, China?
- Brazil, at 130 against 86 in Hong Kong, China as of 2025.
- What is the difference in climate related disasters frequency, number of people affected: storm between Brazil and Hong Kong, China?
- 44, with Brazil ahead.
- How many years of comparable data are there for Brazil and Hong Kong, China?
- 8 years are reported by both, from 1980 to 2023.
- How do Brazil and Hong Kong, China rank globally for climate related disasters frequency, number of people affected: storm?
- Brazil ranks 82nd and Hong Kong, China ranks 84th 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.