Drought - Cities and FUAs — Land soil moisture anomaly in Saint-Louis

Saint-Louis: Drought - Cities and FUAs — Land soil moisture anomaly was 26.1 Percentage change in 2025. ◆ Volatile

Latest (2025)
26.1 Percentage change
Change on year
up 1,032.1%
Rank
2nd
of 1315 regions
All-time high
123.5 Percentage change
in 1972
All-time low
-29.8 Percentage change
in 2000
Years of data
76
1950–2025

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

-50050100195019872025

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

Analysis

Saint-Louis recorded 26.1 Percentage change for drought - cities and fuas — land soil moisture anomaly in 2025.

The figure is up 1,032.1% on the previous year and up 2,107.7% over ten years.

Over the whole period, drought - cities and fuas — land soil moisture anomaly in Saint-Louis peaked at 123.5 Percentage change in 1972 and was at its lowest, -29.8 Percentage change, in 2000.

That places Saint-Louis 2nd out of 1315 regions with data for 2025, putting it in the top 10%.

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 Saint-Louis, year by year

Annual values for Drought - Cities and FUAs — Land soil moisture anomaly in Saint-Louis, 1950 to 2025.
Year Percentage change Change
1950 63.8 Percentage change —
1951 26.8 Percentage change -58.0%
1952 58.4 Percentage change +117.9%
1953 92.4 Percentage change +58.2%
1954 28.4 Percentage change -69.3%
1955 70 Percentage change +146.5%
1956 25.5 Percentage change -63.6%
1957 21.2 Percentage change -16.9%
1958 37.7 Percentage change +77.8%
1959 32.1 Percentage change -14.9%
1960 80.5 Percentage change +150.8%
1961 59.3 Percentage change -26.3%
1962 78.2 Percentage change +31.9%
1963 43.6 Percentage change -44.2%
1964 13.9 Percentage change -68.1%
1965 97.7 Percentage change +602.9%
1966 14.3 Percentage change -85.4%
1967 33.6 Percentage change +135.0%
1968 65.1 Percentage change +93.7%
1969 48.9 Percentage change -24.9%
1970 60.9 Percentage change +24.5%
1971 29.9 Percentage change -50.9%
1972 123.5 Percentage change +313.0%
1973 27.2 Percentage change -78.0%
1974 36.1 Percentage change +32.7%
1975 48.5 Percentage change +34.3%
1976 34.4 Percentage change -29.1%
1977 42.7 Percentage change +24.1%
1978 14 Percentage change -67.2%
1979 28.5 Percentage change +103.6%
1980 39 Percentage change +36.8%
1981 28.4 Percentage change -27.2%
1982 41.6 Percentage change +46.5%
1983 -12.3 Percentage change -129.6%
1984 -7.4 Percentage change -39.8%
1985 25.3 Percentage change -441.9%
1986 22.2 Percentage change -12.3%
1987 26.8 Percentage change +20.7%
1988 -21.8 Percentage change -181.3%
1989 31.2 Percentage change -243.1%
1990 -10.3 Percentage change -133.0%
1991 -0.2 Percentage change -98.1%
1992 -24.9 Percentage change +12350.0%
1993 8.6 Percentage change -134.5%
1994 -23 Percentage change -367.4%
1995 -11.6 Percentage change -49.6%
1996 2.6 Percentage change -122.4%
1997 6.3 Percentage change +142.3%
1998 -10 Percentage change -258.7%
1999 -22.9 Percentage change +129.0%
2000 -29.8 Percentage change +30.1%
2001 -7 Percentage change -76.5%
2002 -2.3 Percentage change -67.1%
2003 24.4 Percentage change -1160.9%
2004 9.1 Percentage change -62.7%
2005 -2.7 Percentage change -129.7%
2006 -19.5 Percentage change +622.2%
2007 -17.5 Percentage change -10.3%
2008 15.1 Percentage change -186.3%
2009 2.1 Percentage change -86.1%
2010 -20.6 Percentage change -1081.0%
2011 9.2 Percentage change -144.7%
2012 -21.8 Percentage change -337.0%
2013 24.8 Percentage change -213.8%
2014 -15.2 Percentage change -161.3%
2015 -1.3 Percentage change -91.4%
2016 12 Percentage change -1023.1%
2017 13.9 Percentage change +15.8%
2018 31.6 Percentage change +127.3%
2019 8.8 Percentage change -72.2%
2020 3.8 Percentage change -56.8%
2021 22.8 Percentage change +500.0%
2022 -9.3 Percentage change -140.8%
2023 23.4 Percentage change -351.6%
2024 -2.8 Percentage change -112.0%
2025 26.1 Percentage change -1032.1%

Biggest year-on-year movements

Years where Drought - Cities and FUAs — Land soil moisture anomaly in Saint-Louis 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
1992 -12350.0% -0.2 Percentage change -24.9 Percentage change
2003 +1160.9% -2.3 Percentage change 24.4 Percentage change
2010 -1081.0% 2.1 Percentage change -20.6 Percentage change
2016 +1023.1% -1.3 Percentage change 12 Percentage change
2025 +1032.1% -2.8 Percentage change 26.1 Percentage change

Averages by decade

DecadeAverage LowestHighest Years
1950s 45.63 Percentage change 21.2 Percentage change 92.4 Percentage change 10
1960s 53.51 Percentage change 13.9 Percentage change 97.7 Percentage change 10
1970s 44.57 Percentage change 14 Percentage change 123.5 Percentage change 10
1980s 17.3 Percentage change -21.8 Percentage change 41.6 Percentage change 10
1990s -8.54 Percentage change -24.9 Percentage change 8.6 Percentage change 10
2000s -2.81 Percentage change -29.8 Percentage change 24.4 Percentage change 10
2010s 4.14 Percentage change -21.8 Percentage change 31.6 Percentage change 10
2020s 10.67 Percentage change -9.3 Percentage change 26.1 Percentage change 6

Countries ranked near Saint-Louis

  1. 1 Luxembourg -0.5 Percentage change compare
  2. 2 Armenia -1 Percentage change compare

See the full ranking of 1325 places →

More environment data for Saint-Louis

All data for Saint-Louis →

Frequently asked questions

What is drought - cities and fuas — land soil moisture anomaly in Saint-Louis?
Drought - cities and fuas — land soil moisture anomaly in Saint-Louis was 26.1 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 Saint-Louis?
The highest recorded value was 123.5 Percentage change in 1972.
What is the lowest drought - cities and fuas — land soil moisture anomaly recorded in Saint-Louis?
The lowest recorded value was -29.8 Percentage change in 2000.
How does Saint-Louis rank for drought - cities and fuas — land soil moisture anomaly?
Saint-Louis ranks 2nd out of 1315 regions with data for 2025.
Is drought - cities and fuas — land soil moisture anomaly rising or falling in Saint-Louis?
Over the last ten years it is up 2,107.7%. The long-run trend across the full record is volatile.
Where does this Saint-Louis 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 Saint-Louis. 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/saint-louis/

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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