Historical exposure to drought — Cropland soil moisture anomaly in Seoul Capital Area
Seoul Capital Area: Historical exposure to drought — Cropland soil moisture anomaly was -2.42 Percentage change in 2025. ◆ Volatile
Historical exposure to drought — Cropland soil moisture anomaly in Seoul Capital Area, 1950–2025
Source: Organisation for Economic Co-operation and Development. Measured in Percentage change.
Analysis
Seoul Capital Area recorded -2.42 Percentage change for historical exposure to drought — cropland soil moisture anomaly in 2025.
The figure is down 235.8% on the previous year and up 36.2% over ten years.
Over the whole period, historical exposure to drought — cropland soil moisture anomaly in Seoul Capital Area peaked at 5.78 Percentage change in 1986 and was at its lowest, -17.03 Percentage change, in 1952.
Seoul Capital Area ranks 1498th of 2960 regions on this measure, in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Historical exposure to drought — Cropland soil moisture anomaly in Seoul Capital Area, year by year
| Year | Percentage change | Change |
|---|---|---|
| 1950 | -4.16 Percentage change | — |
| 1951 | -6.66 Percentage change | +60.3% |
| 1952 | -17.03 Percentage change | +155.6% |
| 1953 | -13.95 Percentage change | -18.1% |
| 1954 | 1.9 Percentage change | -113.6% |
| 1955 | -3.33 Percentage change | -275.1% |
| 1956 | -2.48 Percentage change | -25.5% |
| 1957 | 1.58 Percentage change | -163.8% |
| 1958 | 1.88 Percentage change | +18.7% |
| 1959 | 2.02 Percentage change | +7.8% |
| 1960 | 3.38 Percentage change | +66.9% |
| 1961 | 2.14 Percentage change | -36.6% |
| 1962 | -2.75 Percentage change | -228.3% |
| 1963 | 1.93 Percentage change | -170.4% |
| 1964 | 3.07 Percentage change | +58.7% |
| 1965 | -6.64 Percentage change | -316.5% |
| 1966 | -1.1 Percentage change | -83.5% |
| 1967 | -0.3065 Percentage change | -72.1% |
| 1968 | -4.74 Percentage change | +1446.7% |
| 1969 | 2.06 Percentage change | -143.5% |
| 1970 | 2.08 Percentage change | +0.8% |
| 1971 | 3.4 Percentage change | +63.5% |
| 1972 | 2.78 Percentage change | -18.4% |
| 1973 | 1.72 Percentage change | -38.0% |
| 1974 | 3.22 Percentage change | +87.4% |
| 1975 | 1.54 Percentage change | -52.2% |
| 1976 | 1.29 Percentage change | -16.2% |
| 1977 | 1.27 Percentage change | -1.9% |
| 1978 | -2 Percentage change | -257.8% |
| 1979 | 0.8197 Percentage change | -141.0% |
| 1980 | 0.8034 Percentage change | -2.0% |
| 1981 | 3.53 Percentage change | +339.6% |
| 1982 | -3.21 Percentage change | -191.0% |
| 1983 | 3.29 Percentage change | -202.5% |
| 1984 | 1.61 Percentage change | -51.2% |
| 1985 | 0.4219 Percentage change | -73.8% |
| 1986 | 5.78 Percentage change | +1269.3% |
| 1987 | 0.5913 Percentage change | -89.8% |
| 1988 | -6.52 Percentage change | -1202.9% |
| 1989 | -0.947 Percentage change | -85.5% |
| 1990 | 2.86 Percentage change | -401.6% |
| 1991 | 1.41 Percentage change | -50.7% |
| 1992 | -0.0618 Percentage change | -104.4% |
| 1993 | 2.41 Percentage change | -3995.1% |
| 1994 | 3.19 Percentage change | +32.6% |
| 1995 | -3 Percentage change | -193.9% |
| 1996 | -1.4 Percentage change | -53.3% |
| 1997 | 0.8428 Percentage change | -160.2% |
| 1998 | 4.66 Percentage change | +453.3% |
| 1999 | -1.75 Percentage change | -137.5% |
| 2000 | -1.65 Percentage change | -5.5% |
| 2001 | -4.34 Percentage change | +163.2% |
| 2002 | -1.27 Percentage change | -70.8% |
| 2003 | 2.44 Percentage change | -292.6% |
| 2004 | -3.6 Percentage change | -247.6% |
| 2005 | -0.9209 Percentage change | -74.4% |
| 2006 | -2.1 Percentage change | +128.1% |
| 2007 | 2.51 Percentage change | -219.6% |
| 2008 | -1.81 Percentage change | -171.9% |
| 2009 | -3.82 Percentage change | +111.1% |
| 2010 | 0.845 Percentage change | -122.1% |
| 2011 | 2.49 Percentage change | +194.5% |
| 2012 | -0.6304 Percentage change | -125.3% |
| 2013 | 3.62 Percentage change | -674.2% |
| 2014 | -2.51 Percentage change | -169.4% |
| 2015 | -3.79 Percentage change | +50.8% |
| 2016 | -0.7996 Percentage change | -78.9% |
| 2017 | -8.85 Percentage change | +1006.3% |
| 2018 | -0.7476 Percentage change | -91.5% |
| 2019 | -6.3 Percentage change | +742.8% |
| 2020 | -2.95 Percentage change | -53.2% |
| 2021 | 5.03 Percentage change | -270.7% |
| 2022 | -2.16 Percentage change | -143.0% |
| 2023 | 0.6244 Percentage change | -128.9% |
| 2024 | 1.78 Percentage change | +185.3% |
| 2025 | -2.42 Percentage change | -235.8% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1950s | -4.02 Percentage change | -17.03 Percentage change | 2.02 Percentage change | 10 |
| 1960s | -0.2948 Percentage change | -6.64 Percentage change | 3.38 Percentage change | 10 |
| 1970s | 1.61 Percentage change | -2 Percentage change | 3.4 Percentage change | 10 |
| 1980s | 0.5347 Percentage change | -6.52 Percentage change | 5.78 Percentage change | 10 |
| 1990s | 0.9166 Percentage change | -3 Percentage change | 4.66 Percentage change | 10 |
| 2000s | -1.46 Percentage change | -4.34 Percentage change | 2.51 Percentage change | 10 |
| 2010s | -1.67 Percentage change | -8.85 Percentage change | 3.62 Percentage change | 10 |
| 2020s | -0.0153 Percentage change | -2.95 Percentage change | 5.03 Percentage change | 6 |
More environment data for Seoul Capital Area
- Historical exposure to drought — Land soil moisture anomaly -2.38 Percentage change (2025)
- River flooding exposure — Cropland share exposed to river flooding 4.12 Percentage of agricultural land area (2022)
Frequently asked questions
- What is historical exposure to drought — cropland soil moisture anomaly in Seoul Capital Area?
- Historical exposure to drought — cropland soil moisture anomaly in Seoul Capital Area was -2.42 Percentage change in 2025, according to Organisation for Economic Co-operation and Development.
- What is the highest historical exposure to drought — cropland soil moisture anomaly recorded in Seoul Capital Area?
- The highest recorded value was 5.78 Percentage change in 1986.
- What is the lowest historical exposure to drought — cropland soil moisture anomaly recorded in Seoul Capital Area?
- The lowest recorded value was -17.03 Percentage change in 1952.
- How does Seoul Capital Area rank for historical exposure to drought — cropland soil moisture anomaly?
- Seoul Capital Area ranks 1498th out of 2960 regions with data for 2025.
- Is historical exposure to drought — cropland soil moisture anomaly rising or falling in Seoul Capital Area?
- Over the last ten years it is up 36.2%. The long-run trend across the full record is volatile.
- Where does this Seoul Capital Area data come from?
- The figures come from Organisation for Economic Co-operation and Development, published as part of Historical exposure to drought — Cropland soil moisture anomaly. Statizoid updates them automatically from the source API.
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About this data
The dataset provides annual anomalies in land and cropland soil moisture content of the top soil layer (0 to 7 cm) compared to the reference period 1981-2010. Exposure indicators to drought have been prepared by the Organisation for Economic Co-operation and Development (OECD). Please see the working paper for a more complete description of the methods. The datasets span the period 1981-2024 and is the result of the use of a variety of geospatial data sources, including the ERA5-Land averaged monthly data of volumetric soil moisture and ESA CCI land cover data. Average anomalies have been calculated for both land and cropland exposure to drought. The dataset has a global coverage on a national level; on the sub-national TL2 level (i.e. large subnational regions) results are reported for all OECD countries as well as for Argentina, Brazil, China, India, Indonesia and South Africa. A number of aggregates are included: Euro area, European Union, Advanced economies, Emerging market economies, G7, G20, OECD, OECD Europe, OECD Asia Oceania, OECD Americas and the LAC region. Data source(s): Copernicus Climate Change Initiative land cover data and Copernicus Climate Data Store monthly soil moisture data based on the ERA5-Land reanalysis dataset. Contact: ENV.Stat@oecd.org