Climate related disasters frequency, Number of People Affected: Flood in Democratic Republic of Congo
Democratic Republic of Congo: Climate related disasters frequency, Number of People Affected: Flood was 2.19 million in 2024. ◆ Volatile
Climate related disasters frequency, Number of People Affected: Flood in Democratic Republic of Congo, 1990–2024
Source: International Monetary Fund.
Analysis
Democratic Republic of Congo recorded 2.19 million for climate related disasters frequency, number of people affected: flood in 2024. That is the highest value across all 24 years on record.
The figure is up 3,967.2% on the previous year and up 46,005.3% over ten years.
Over the whole period, climate related disasters frequency, number of people affected: flood in Democratic Republic of Congo peaked at 2.19 million in 2024 and was at its lowest, 50, in 1994.
Democratic Republic of Congo ranks 5th of 135 countries on this measure, in the top 10%.
The series is highly variable year to year, so single readings are best treated with caution.
Climate related disasters frequency, Number of People Affected: Flood in Democratic Republic of Congo, year by year
| Year | Value | Change |
|---|---|---|
| 1990 | 27,500 | — |
| 1994 | 50 | -99.8% |
| 1997 | 35,506 | +70912.0% |
| 1999 | 78,000 | +119.7% |
| 2001 | 13,026 | -83.3% |
| 2002 | 2,540 | -80.5% |
| 2003 | 1,481 | -41.7% |
| 2006 | 12,970 | +775.8% |
| 2007 | 1,600 | -87.7% |
| 2008 | 502 | -68.6% |
| 2009 | 5,000 | +896.0% |
| 2010 | 70,500 | +1310.0% |
| 2011 | 8,000 | -88.7% |
| 2012 | 4,535 | -43.3% |
| 2014 | 4,750 | +4.7% |
| 2015 | 190,560 | +3911.8% |
| 2016 | 12,635 | -93.4% |
| 2017 | 500 | -96.0% |
| 2018 | 15,760 | +3052.0% |
| 2019 | 399,894 | +2437.4% |
| 2020 | 231,506 | -42.1% |
| 2022 | 260,711 | +12.6% |
| 2023 | 53,845 | -79.3% |
| 2024 | 2.19 million | +3967.2% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 35,264 | 50 | 78,000 | 4 |
| 2000s | 5,303 | 502 | 13,026 | 7 |
| 2010s | 78,570 | 500 | 399,894 | 9 |
| 2020s | 684,016 | 53,845 | 2.19 million | 4 |
Countries ranked near Democratic Republic of Congo
More climate change data for Democratic Republic of Congo
- Share co2 vs population 4.23 (2100)
- Urban population 45.1% (2025)
- Urban population 50.90 million (2025)
- Urban population growth 4.0% (2025)
- Population, total 112.83 million (2025)
- Population growth 3.2% (2025)
- Annual Net Emissions/Removals 58.49 (2024)
- Temperature change with respect to a baseline climatology 1.26 (2024)
- Per capita CO₂ emissions vs. per capita energy use 0.054 tonnes per person (2024)
- Share global cumulative co2 including land 0.9462 (2024)
Frequently asked questions
- What is climate related disasters frequency, number of people affected: flood in Democratic Republic of Congo?
- Climate related disasters frequency, number of people affected: flood in Democratic Republic of Congo was 2.19 million in 2024, according to International Monetary Fund.
- What is the highest climate related disasters frequency, number of people affected: flood recorded in Democratic Republic of Congo?
- The highest recorded value was 2.19 million in 2024.
- What is the lowest climate related disasters frequency, number of people affected: flood recorded in Democratic Republic of Congo?
- The lowest recorded value was 50 in 1994.
- How does Democratic Republic of Congo rank for climate related disasters frequency, number of people affected: flood?
- Democratic Republic of Congo ranks 5th out of 135 countries with data for 2024.
- Is climate related disasters frequency, number of people affected: flood rising or falling in Democratic Republic of Congo?
- Over the last ten years it is up 46,005.3%. The long-run trend across the full record is volatile.
- Where does this Democratic Republic of Congo data come from?
- The figures come from International Monetary Fund, published as part of Climate related disasters frequency, Number of People Affected: Flood (Not Applicable). Statizoid updates them automatically from the source API.
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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.