Drought - Cities and FUAs — Land soil moisture anomaly in Gunsan

Gunsan: Drought - Cities and FUAs — Land soil moisture anomaly was -5 Percentage change in 2025. ◆ Volatile

Latest (2025)
-5 Percentage change
Change on year
down 228.2%
Rank
855th
of 1315 regions
All-time high
23.2 Percentage change
in 1972
All-time low
-10.2 Percentage change
in 2004
Years of data
76
1950–2025

Drought - Cities and FUAs — Land soil moisture anomaly in Gunsan, 1950–2025

-1001020195019872025

Source: Organisation for Economic Co-operation and Development. Measured in Percentage change.

Analysis

Gunsan recorded -5 Percentage change for drought - cities and fuas — land soil moisture anomaly in 2025.

Compared with earlier readings it is down 228.2% on the previous year and down 516.7% over ten years.

Over the whole period, drought - cities and fuas — land soil moisture anomaly in Gunsan peaked at 23.2 Percentage change in 1972 and was at its lowest, -10.2 Percentage change, in 2004.

Gunsan ranks 855th of 1315 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.

Drought - Cities and FUAs — Land soil moisture anomaly in Gunsan, year by year

Annual values for Drought - Cities and FUAs — Land soil moisture anomaly in Gunsan, 1950 to 2025.
Year Percentage change Change
1950 5.2 Percentage change —
1951 3.2 Percentage change -38.5%
1952 -8.7 Percentage change -371.9%
1953 -3.3 Percentage change -62.1%
1954 16.3 Percentage change -593.9%
1955 10.1 Percentage change -38.0%
1956 12.3 Percentage change +21.8%
1957 16.2 Percentage change +31.7%
1958 20.3 Percentage change +25.3%
1959 16.2 Percentage change -20.2%
1960 13.9 Percentage change -14.2%
1961 14.3 Percentage change +2.9%
1962 9.2 Percentage change -35.7%
1963 22.7 Percentage change +146.7%
1964 15.9 Percentage change -30.0%
1965 10.3 Percentage change -35.2%
1966 13.3 Percentage change +29.1%
1967 10.1 Percentage change -24.1%
1968 3.8 Percentage change -62.4%
1969 21.3 Percentage change +460.5%
1970 18.8 Percentage change -11.7%
1971 19.8 Percentage change +5.3%
1972 23.2 Percentage change +17.2%
1973 19.6 Percentage change -15.5%
1974 20.2 Percentage change +3.1%
1975 14.3 Percentage change -29.2%
1976 20.9 Percentage change +46.2%
1977 16.6 Percentage change -20.6%
1978 11.4 Percentage change -31.3%
1979 15.3 Percentage change +34.2%
1980 19.6 Percentage change +28.1%
1981 5.5 Percentage change -71.9%
1982 1.2 Percentage change -78.2%
1983 4 Percentage change +233.3%
1984 -0.1 Percentage change -102.5%
1985 0.7 Percentage change -800.0%
1986 3.2 Percentage change +357.1%
1987 3.1 Percentage change -3.1%
1988 -6 Percentage change -293.5%
1989 0.6 Percentage change -110.0%
1990 3.5 Percentage change +483.3%
1991 3.3 Percentage change -5.7%
1992 -5.3 Percentage change -260.6%
1993 3.4 Percentage change -164.2%
1994 -1.6 Percentage change -147.1%
1995 -7.3 Percentage change +356.2%
1996 -1.5 Percentage change -79.5%
1997 -1.1 Percentage change -26.7%
1998 6.1 Percentage change -654.5%
1999 0.2 Percentage change -96.7%
2000 -2.9 Percentage change -1550.0%
2001 0.2 Percentage change -106.9%
2002 1.3 Percentage change +550.0%
2003 5.1 Percentage change +292.3%
2004 -10.2 Percentage change -300.0%
2005 -0.2 Percentage change -98.0%
2006 -1.9 Percentage change +850.0%
2007 3 Percentage change -257.9%
2008 -2.9 Percentage change -196.7%
2009 -6.2 Percentage change +113.8%
2010 2.9 Percentage change -146.8%
2011 2.7 Percentage change -6.9%
2012 -2.4 Percentage change -188.9%
2013 5.4 Percentage change -325.0%
2014 -1.2 Percentage change -122.2%
2015 1.2 Percentage change -200.0%
2016 -2.3 Percentage change -291.7%
2017 -8.2 Percentage change +256.5%
2018 -1.3 Percentage change -84.1%
2019 -3.8 Percentage change +192.3%
2020 -2.9 Percentage change -23.7%
2021 0.5 Percentage change -117.2%
2022 -4.5 Percentage change -1000.0%
2023 -0.9 Percentage change -80.0%
2024 3.9 Percentage change -533.3%
2025 -5 Percentage change -228.2%

Biggest year-on-year movements

Years where Drought - Cities and FUAs — Land soil moisture anomaly in Gunsan changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.

YearChange FromTo
2000 -1550.0% 0.2 Percentage change -2.9 Percentage change
2022 -1000.0% 0.5 Percentage change -4.5 Percentage change

Averages by decade

DecadeAverage LowestHighest Years
1950s 8.78 Percentage change -8.7 Percentage change 20.3 Percentage change 10
1960s 13.48 Percentage change 3.8 Percentage change 22.7 Percentage change 10
1970s 18.01 Percentage change 11.4 Percentage change 23.2 Percentage change 10
1980s 3.18 Percentage change -6 Percentage change 19.6 Percentage change 10
1990s -0.03 Percentage change -7.3 Percentage change 6.1 Percentage change 10
2000s -1.47 Percentage change -10.2 Percentage change 5.1 Percentage change 10
2010s -0.7 Percentage change -8.2 Percentage change 5.4 Percentage change 10
2020s -1.48 Percentage change -5 Percentage change 3.9 Percentage change 6

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Frequently asked questions

What is drought - cities and fuas — land soil moisture anomaly in Gunsan?
Drought - cities and fuas — land soil moisture anomaly in Gunsan was -5 Percentage change in 2025, according to Organisation for Economic Co-operation and Development.
What is the highest drought - cities and fuas — land soil moisture anomaly recorded in Gunsan?
The highest recorded value was 23.2 Percentage change in 1972.
What is the lowest drought - cities and fuas — land soil moisture anomaly recorded in Gunsan?
The lowest recorded value was -10.2 Percentage change in 2004.
How does Gunsan rank for drought - cities and fuas — land soil moisture anomaly?
Gunsan ranks 855th out of 1315 regions with data for 2025.
Is drought - cities and fuas — land soil moisture anomaly rising or falling in Gunsan?
Over the last ten years it is down 516.7%. The long-run trend across the full record is volatile.
Where does this Gunsan data come from?
The figures come from Organisation for Economic Co-operation and Development, published as part of Drought - Cities and FUAs — Land soil moisture anomaly. Statizoid updates them automatically from the source API.

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Drought - Cities and FUAs — Land soil moisture anomaly in Gunsan. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 24 October 2026, from https://environment.statizoid.com/stat/drought-cities-and-fuas-land-soil-moisture-anomaly/gunsan/

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About this data

Indicator
Drought - Cities and FUAs — Land soil moisture anomaly
Unit
Percentage change
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
1,325 places, 100,700 data points, 1950–2025
Last refreshed

This dataset provides regional statistics on estimate of soil moisture anomaly, in Functional Urban Areas (FUAs) and Cities. Data sources and methodology Drought is defined by the soil moisture change compared to the reference period 1981-2010. The soil moisture refers to the volume of water in the first soil layer (0 to 7 cm). This indicator is based on Copernicus ERA5-Land. ERA5-Land is used as it provides harmonised, globally consistent coverage at fine spatial resolution (0.1 degree), enabling the production of comparable subnational indicators also where national meteorological data are not available at the required scale. These estimates may differ from official subnational climate statistics due to differences in methodological approaches, such as the use of reanalysis based top down modelling versus in situ observations, along with variations in input data sources, spatial resolution, and the models and algorithms used to generate temperature estimates. These estimates may differ from official subnational climate statistics due to differences in methodological approaches, such as the use of reanalysis based top down modelling versus in situ observations, along with variations in input data sources, spatial resolution, and the models and algorithms used to generate temperature estimates. Defining FUAs and cities The OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of: A city – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city. A commuting zone – including all local areas where at least 15% of employed residents work in the city. The delineation process includes: Assigning municipalities surrounded by a single FUA to that FUA. Excluding non-contiguous municipalities. The correspondence table between SAUs and FUAs/cities is available in parquet and csv format. The definition identifies 1 272 FUAs and 1 269 cities in all OECD member countries except Costa Rica and three accession countries. Cite this dataset OECD Regions, cities and local areas database (Drought - Cities and FUAs), http://oe.cd/geostats Further information OECD Local Data Portal OECD Regions and Cities at a Glance For questions and/or comments, please email CitiesStat@oecd.org