Climate related disasters frequency, Number of People Affected in China
China: Climate related disasters frequency, Number of People Affected was 0 in 2024. ◆ Volatile
Climate related disasters frequency, Number of People Affected in China, 1983–2024
Source: International Monetary Fund.
Analysis
In 2024, climate related disasters frequency, number of people affected in China stood at 0. That is the lowest value across all 27 years on record.
The figure is down 100.0% over ten years.
Over the whole period, climate related disasters frequency, number of people affected in China peaked at 88.69 million in 1994 and was at its lowest, 0, in 1983.
That places China 44th out of 55 countries with data for 2024, putting it in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Climate related disasters frequency, Number of People Affected in China, year by year
| Year | Value | Change |
|---|---|---|
| 1983 | 0 | — |
| 1985 | 0 | — |
| 1988 | 49.00 million | — |
| 1991 | 5.00 million | -89.8% |
| 1992 | 12.00 million | +140.0% |
| 1994 | 88.69 million | +639.1% |
| 1995 | 9.06 million | -89.8% |
| 1997 | 0 | -100.0% |
| 1999 | 19.00 million | — |
| 2000 | 20.00 million | +5.3% |
| 2001 | 16.33 million | -18.4% |
| 2002 | 64.56 million | +295.3% |
| 2003 | 51.00 million | -21.0% |
| 2005 | 7.77 million | -84.8% |
| 2006 | 18.00 million | +131.5% |
| 2008 | 3.70 million | -79.4% |
| 2009 | 60.16 million | +1525.9% |
| 2010 | 35.00 million | -41.8% |
| 2013 | 5.00 million | -85.7% |
| 2014 | 27.73 million | +454.5% |
| 2015 | 0 | -100.0% |
| 2016 | 10.00 million | — |
| 2017 | 2.00 million | -80.0% |
| 2021 | 0 | -100.0% |
| 2022 | 6.10 million | — |
| 2023 | 0 | -100.0% |
| 2024 | 0 | — |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1980s | 16.33 million | 0 | 49.00 million | 3 |
| 1990s | 22.29 million | 0 | 88.69 million | 6 |
| 2000s | 30.19 million | 3.70 million | 64.56 million | 8 |
| 2010s | 13.29 million | 0 | 35.00 million | 6 |
| 2020s | 1.52 million | 0 | 6.10 million | 4 |
Countries ranked near China
More climate change data for China
- Emissions from livestock — Emissions (CO2eq) 604,831 kt (2050)
- Emissions from livestock — Emissions (CO2eq) from N2O 191,478 kt (2050)
- Emissions from livestock — Emissions (CO2eq) from CH4 413,353 kt (2050)
- Emissions from livestock — Emissions 722.56 kt (2050)
- Emissions from livestock — Emissions 14,763 kt (2050)
- Emissions from crops — Emissions (CO2eq) 342,069 kt (2050)
- Emissions from crops — Emissions (CO2eq) from N2O 200,605 kt (2050)
- Emissions from crops — Emissions (CO2eq) from CH4 141,464 kt (2050)
- Emissions from crops — Emissions 757 kt (2050)
- Emissions from crops — Emissions 5,052 kt (2050)
Frequently asked questions
- What is climate related disasters frequency, number of people affected in China?
- Climate related disasters frequency, number of people affected in China was 0 in 2024, according to International Monetary Fund.
- What is the highest climate related disasters frequency, number of people affected recorded in China?
- The highest recorded value was 88.69 million in 1994.
- What is the lowest climate related disasters frequency, number of people affected recorded in China?
- The lowest recorded value was 0 in 1983.
- How does China rank for climate related disasters frequency, number of people affected?
- China ranks 44th out of 55 countries with data for 2024.
- Is climate related disasters frequency, number of people affected rising or falling in China?
- Over the last ten years it is down 100.0%. The long-run trend across the full record is volatile.
- Where does this China data come from?
- The figures come from International Monetary Fund, published as part of Climate related disasters frequency, Number of People Affected: Drought (Not Applicable). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 27 observations, free to reuse under IMF Terms and Conditions (attribution required).
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.