Drought - Cities and FUAs — Land soil moisture anomaly in La Seyne-sur-Mer

La Seyne-sur-Mer: Drought - Cities and FUAs — Land soil moisture anomaly was -0.4 Percentage change in 2025. ◆ Volatile

Latest (2025)
-0.4 Percentage change
Change on year
up 20.0%
Rank
417th
of 1315 regions
All-time high
35 Percentage change
in 1977
All-time low
-20.9 Percentage change
in 1989
Years of data
76
1950–2025

Drought - Cities and FUAs — Land soil moisture anomaly in La Seyne-sur-Mer, 1950–2025

-2002040195019872025

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

Analysis

In 2025, drought - cities and fuas — land soil moisture anomaly in La Seyne-sur-Mer stood at -0.4 Percentage change.

The figure is up 20.0% on the previous year and up 81.8% over ten years.

Over the whole period, drought - cities and fuas — land soil moisture anomaly in La Seyne-sur-Mer peaked at 35 Percentage change in 1977 and was at its lowest, -20.9 Percentage change, in 1989.

That places La Seyne-sur-Mer 417th 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 La Seyne-sur-Mer, year by year

Annual values for Drought - Cities and FUAs — Land soil moisture anomaly in La Seyne-sur-Mer, 1950 to 2025.
Year Percentage change Change
1950 -1.5 Percentage change
1951 12.2 Percentage change -913.3%
1952 2.1 Percentage change -82.8%
1953 -3.7 Percentage change -276.2%
1954 1.3 Percentage change -135.1%
1955 -1.3 Percentage change -200.0%
1956 7.2 Percentage change -653.8%
1957 -0.5 Percentage change -106.9%
1958 0 Percentage change -100.0%
1959 10.3 Percentage change
1960 11.9 Percentage change +15.5%
1961 7.6 Percentage change -36.1%
1962 5.2 Percentage change -31.6%
1963 19.2 Percentage change +269.2%
1964 8.5 Percentage change -55.7%
1965 8.4 Percentage change -1.2%
1966 8.7 Percentage change +3.6%
1967 -7.2 Percentage change -182.8%
1968 8.3 Percentage change -215.3%
1969 8.7 Percentage change +4.8%
1970 -4.4 Percentage change -150.6%
1971 10.1 Percentage change -329.5%
1972 23.5 Percentage change +132.7%
1973 1.7 Percentage change -92.8%
1974 18.6 Percentage change +994.1%
1975 -0.5 Percentage change -102.7%
1976 15.3 Percentage change -3160.0%
1977 35 Percentage change +128.8%
1978 5.5 Percentage change -84.3%
1979 4 Percentage change -27.3%
1980 8.5 Percentage change +112.5%
1981 2.8 Percentage change -67.1%
1982 4.9 Percentage change +75.0%
1983 10.3 Percentage change +110.2%
1984 11.8 Percentage change +14.6%
1985 -4.3 Percentage change -136.4%
1986 -0.9 Percentage change -79.1%
1987 -8.5 Percentage change +844.4%
1988 4.2 Percentage change -149.4%
1989 -20.9 Percentage change -597.6%
1990 -6.1 Percentage change -70.8%
1991 2.5 Percentage change -141.0%
1992 1.9 Percentage change -24.0%
1993 11.3 Percentage change +494.7%
1994 3.1 Percentage change -72.6%
1995 -2.7 Percentage change -187.1%
1996 8.6 Percentage change -418.5%
1997 -8.1 Percentage change -194.2%
1998 -3 Percentage change -63.0%
1999 3.1 Percentage change -203.3%
2000 4.2 Percentage change +35.5%
2001 4.5 Percentage change +7.1%
2002 -13.7 Percentage change -404.4%
2003 6.3 Percentage change -146.0%
2004 -1.1 Percentage change -117.5%
2005 -10.8 Percentage change +881.8%
2006 -8.5 Percentage change -21.3%
2007 -7.8 Percentage change -8.2%
2008 4.6 Percentage change -159.0%
2009 6.9 Percentage change +50.0%
2010 5.3 Percentage change -23.2%
2011 1.2 Percentage change -77.4%
2012 4 Percentage change +233.3%
2013 13.5 Percentage change +237.5%
2014 8.5 Percentage change -37.0%
2015 -2.2 Percentage change -125.9%
2016 -6.1 Percentage change +177.3%
2017 -16.2 Percentage change +165.6%
2018 10.3 Percentage change -163.6%
2019 -2.6 Percentage change -125.2%
2020 -11.4 Percentage change +338.5%
2021 -4.5 Percentage change -60.5%
2022 -11.9 Percentage change +164.4%
2023 -0.7 Percentage change -94.1%
2024 -0.5 Percentage change -28.6%
2025 -0.4 Percentage change -20.0%

Averages by decade

DecadeAverage LowestHighest Years
1950s 2.61 Percentage change -3.7 Percentage change 12.2 Percentage change 10
1960s 7.93 Percentage change -7.2 Percentage change 19.2 Percentage change 10
1970s 10.88 Percentage change -4.4 Percentage change 35 Percentage change 10
1980s 0.79 Percentage change -20.9 Percentage change 11.8 Percentage change 10
1990s 1.06 Percentage change -8.1 Percentage change 11.3 Percentage change 10
2000s -1.54 Percentage change -13.7 Percentage change 6.9 Percentage change 10
2010s 1.57 Percentage change -16.2 Percentage change 13.5 Percentage change 10
2020s -4.9 Percentage change -11.9 Percentage change -0.4 Percentage change 6

More environment data for La Seyne-sur-Mer

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Frequently asked questions

What is drought - cities and fuas — land soil moisture anomaly in La Seyne-sur-Mer?
Drought - cities and fuas — land soil moisture anomaly in La Seyne-sur-Mer was -0.4 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 La Seyne-sur-Mer?
The highest recorded value was 35 Percentage change in 1977.
What is the lowest drought - cities and fuas — land soil moisture anomaly recorded in La Seyne-sur-Mer?
The lowest recorded value was -20.9 Percentage change in 1989.
How does La Seyne-sur-Mer rank for drought - cities and fuas — land soil moisture anomaly?
La Seyne-sur-Mer ranks 417th out of 1315 regions with data for 2025.
Is drought - cities and fuas — land soil moisture anomaly rising or falling in La Seyne-sur-Mer?
Over the last ten years it is up 81.8%. The long-run trend across the full record is volatile.
Where does this La Seyne-sur-Mer 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 La Seyne-sur-Mer. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 24 August 2026, from https://environment.statizoid.com/stat/drought-cities-and-fuas-land-soil-moisture-anomaly/la-seyne-sur-mer/

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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