China vs Philippines: Climate related disasters frequency, Number of People Affected: Flood
China
120,645
in 2024
Philippines
123,000
in 2025
China rank
37th
Philippines rank
36th
Climate related disasters frequency, Number of People Affected: Flood over time
- China
- Philippines
How they compare
Philippines currently reports 123,000 against 120,645 in China, a difference of 2,355.
The two have swapped places 5 times across 40 shared years of data; in 1980 it was China ahead.
China ranks 37th and Philippines ranks 36th of 135 countries.
China has averaged higher in every one of the 5 decades both report.
Head to head by decade
| Decade | China | Philippines | Difference | Ahead |
|---|---|---|---|---|
| 1980s | 16.28 million | 135,440 | 16.14 million | China |
| 1990s | 84.54 million | 595,807 | 83.95 million | China |
| 2000s | 52.83 million | 413,618 | 52.41 million | China |
| 2010s | 38.14 million | 1.92 million | 36.22 million | China |
| 2020s | 4.78 million | 1.44 million | 3.34 million | China |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher climate related disasters frequency, number of people affected: flood, China or Philippines?
- Philippines, at 123,000 against 120,645 in China as of 2025.
- What is the difference in climate related disasters frequency, number of people affected: flood between China and Philippines?
- 2,355, with Philippines ahead.
- How many years of comparable data are there for China and Philippines?
- 40 years are reported by both, from 1980 to 2024.
- How do China and Philippines rank globally for climate related disasters frequency, number of people affected: flood?
- China ranks 37th and Philippines ranks 36th 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.