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

Malmö: Drought - Cities and FUAs — Land soil moisture anomaly was -6.2 Percentage change in 2025. ◆ Volatile

Latest (2025)
-6.2 Percentage change
Change on year
down 342.9%
Rank
943rd
of 1315 regions
All-time high
44 Percentage change
in 1962
All-time low
-11.7 Percentage change
in 2009
Years of data
76
1950–2025

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

-2002040195019872025

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

Analysis

The most recent figure for drought - cities and fuas — land soil moisture anomaly in Malmö is -6.2 Percentage change, measured in 2025.

Compared with earlier readings it is down 342.9% on the previous year and down 675.0% over ten years.

Over the whole period, drought - cities and fuas — land soil moisture anomaly in Malmö peaked at 44 Percentage change in 1962 and was at its lowest, -11.7 Percentage change, in 2009.

That places Malmö 943rd out of 1315 regions with data for 2025, putting it 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 Malmö, year by year

Annual values for Drought - Cities and FUAs — Land soil moisture anomaly in Malmö, 1950 to 2025.
Year Percentage change Change
1950 37.9 Percentage change —
1951 37.1 Percentage change -2.1%
1952 33.7 Percentage change -9.2%
1953 26.1 Percentage change -22.6%
1954 36.3 Percentage change +39.1%
1955 26.6 Percentage change -26.7%
1956 29.6 Percentage change +11.3%
1957 27.2 Percentage change -8.1%
1958 40.8 Percentage change +50.0%
1959 19.2 Percentage change -52.9%
1960 33.8 Percentage change +76.0%
1961 34.6 Percentage change +2.4%
1962 44 Percentage change +27.2%
1963 39.7 Percentage change -9.8%
1964 27.6 Percentage change -30.5%
1965 41.6 Percentage change +50.7%
1966 40.3 Percentage change -3.1%
1967 42.1 Percentage change +4.5%
1968 36.9 Percentage change -12.4%
1969 31.4 Percentage change -14.9%
1970 38.4 Percentage change +22.3%
1971 34.9 Percentage change -9.1%
1972 41.4 Percentage change +18.6%
1973 27.5 Percentage change -33.6%
1974 28.8 Percentage change +4.7%
1975 20.4 Percentage change -29.2%
1976 22.7 Percentage change +11.3%
1977 30 Percentage change +32.2%
1978 29 Percentage change -3.3%
1979 32.8 Percentage change +13.1%
1980 43.2 Percentage change +31.7%
1981 7 Percentage change -83.8%
1982 -3.6 Percentage change -151.4%
1983 -0.9 Percentage change -75.0%
1984 -0.1 Percentage change -88.9%
1985 3.2 Percentage change -3300.0%
1986 -1 Percentage change -131.2%
1987 6.4 Percentage change -740.0%
1988 3.6 Percentage change -43.8%
1989 -5.3 Percentage change -247.2%
1990 -2.9 Percentage change -45.3%
1991 1.7 Percentage change -158.6%
1992 -4.9 Percentage change -388.2%
1993 -1.1 Percentage change -77.6%
1994 -1.9 Percentage change +72.7%
1995 -5.4 Percentage change +184.2%
1996 -0.8 Percentage change -85.2%
1997 -3.2 Percentage change +300.0%
1998 9.5 Percentage change -396.9%
1999 2.6 Percentage change -72.6%
2000 4.4 Percentage change +69.2%
2001 3.7 Percentage change -15.9%
2002 -1.3 Percentage change -135.1%
2003 -0.6 Percentage change -53.8%
2004 3.6 Percentage change -700.0%
2005 -4.6 Percentage change -227.8%
2006 0.7 Percentage change -115.2%
2007 7.9 Percentage change +1028.6%
2008 -6.1 Percentage change -177.2%
2009 -11.7 Percentage change +91.8%
2010 1.1 Percentage change -109.4%
2011 0.4 Percentage change -63.6%
2012 -1.6 Percentage change -500.0%
2013 2.4 Percentage change -250.0%
2014 -3.3 Percentage change -237.5%
2015 -0.8 Percentage change -75.8%
2016 -3.6 Percentage change +350.0%
2017 7.3 Percentage change -302.8%
2018 -9.9 Percentage change -235.6%
2019 -4.8 Percentage change -51.5%
2020 -3.6 Percentage change -25.0%
2021 1.2 Percentage change -133.3%
2022 -5.9 Percentage change -591.7%
2023 2.1 Percentage change -135.6%
2024 -1.4 Percentage change -166.7%
2025 -6.2 Percentage change +342.9%

Biggest year-on-year movements

Years where Drought - Cities and FUAs — Land soil moisture anomaly in Malmö 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
1985 +3300.0% -0.1 Percentage change 3.2 Percentage change
2007 +1028.6% 0.7 Percentage change 7.9 Percentage change
1987 +740.0% -1 Percentage change 6.4 Percentage change
2004 +700.0% -0.6 Percentage change 3.6 Percentage change

Averages by decade

DecadeAverage LowestHighest Years
1950s 31.45 Percentage change 19.2 Percentage change 40.8 Percentage change 10
1960s 37.2 Percentage change 27.6 Percentage change 44 Percentage change 10
1970s 30.59 Percentage change 20.4 Percentage change 41.4 Percentage change 10
1980s 5.25 Percentage change -5.3 Percentage change 43.2 Percentage change 10
1990s -0.64 Percentage change -5.4 Percentage change 9.5 Percentage change 10
2000s -0.4 Percentage change -11.7 Percentage change 7.9 Percentage change 10
2010s -1.28 Percentage change -9.9 Percentage change 7.3 Percentage change 10
2020s -2.3 Percentage change -6.2 Percentage change 2.1 Percentage change 6

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Frequently asked questions

What is drought - cities and fuas — land soil moisture anomaly in Malmö?
Drought - cities and fuas — land soil moisture anomaly in Malmö was -6.2 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 Malmö?
The highest recorded value was 44 Percentage change in 1962.
What is the lowest drought - cities and fuas — land soil moisture anomaly recorded in Malmö?
The lowest recorded value was -11.7 Percentage change in 2009.
How does Malmö rank for drought - cities and fuas — land soil moisture anomaly?
Malmö ranks 943rd out of 1315 regions with data for 2025.
Is drought - cities and fuas — land soil moisture anomaly rising or falling in Malmö?
Over the last ten years it is down 675.0%. The long-run trend across the full record is volatile.
Where does this Malmö 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 Malmö. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 01 October 2026, from https://environment.statizoid.com/stat/drought-cities-and-fuas-land-soil-moisture-anomaly/malmo/

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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