Drought - Cities and FUAs — Land soil moisture anomaly in Cheshire West and Chester

Cheshire West and Chester: Drought - Cities and FUAs — Land soil moisture anomaly was -8.4 Percentage change in 2025. ◆ Volatile

Latest (2025)
-8.4 Percentage change
Change on year
down 660.0%
Rank
1066th
of 1315 regions
All-time high
16.8 Percentage change
in 1958
All-time low
-13.3 Percentage change
in 1995
Years of data
76
1950–2025

Drought - Cities and FUAs — Land soil moisture anomaly in Cheshire West and Chester, 1950–2025

-1001020195019872025

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

Analysis

Cheshire West and Chester recorded -8.4 Percentage change for drought - cities and fuas — land soil moisture anomaly in 2025.

Compared with earlier readings it is down 660.0% on the previous year and down 340.0% over ten years.

Over the whole period, drought - cities and fuas — land soil moisture anomaly in Cheshire West and Chester peaked at 16.8 Percentage change in 1958 and was at its lowest, -13.3 Percentage change, in 1995.

That places Cheshire West and Chester 1066th out of 1315 regions with data for 2025, putting it in the bottom quarter.

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 Cheshire West and Chester, year by year

Annual values for Drought - Cities and FUAs — Land soil moisture anomaly in Cheshire West and Chester, 1950 to 2025.
Year Percentage change Change
1950 10.7 Percentage change
1951 7.5 Percentage change -29.9%
1952 7.6 Percentage change +1.3%
1953 14.2 Percentage change +86.8%
1954 13.8 Percentage change -2.8%
1955 -7.7 Percentage change -155.8%
1956 6.9 Percentage change -189.6%
1957 1.5 Percentage change -78.3%
1958 16.8 Percentage change +1020.0%
1959 -4.6 Percentage change -127.4%
1960 4.6 Percentage change -200.0%
1961 0.1 Percentage change -97.8%
1962 1.6 Percentage change +1500.0%
1963 9.4 Percentage change +487.5%
1964 1.6 Percentage change -83.0%
1965 13 Percentage change +712.5%
1966 11.5 Percentage change -11.5%
1967 11.7 Percentage change +1.7%
1968 12.3 Percentage change +5.1%
1969 8 Percentage change -35.0%
1970 9 Percentage change +12.5%
1971 14.1 Percentage change +56.7%
1972 13.3 Percentage change -5.7%
1973 9 Percentage change -32.3%
1974 7.3 Percentage change -18.9%
1975 0.3 Percentage change -95.9%
1976 0.8 Percentage change +166.7%
1977 7 Percentage change +775.0%
1978 14 Percentage change +100.0%
1979 11.1 Percentage change -20.7%
1980 15.2 Percentage change +36.9%
1981 1.9 Percentage change -87.5%
1982 -1.8 Percentage change -194.7%
1983 0.2 Percentage change -111.1%
1984 -7.7 Percentage change -3950.0%
1985 4.2 Percentage change -154.5%
1986 1.3 Percentage change -69.0%
1987 0.6 Percentage change -53.8%
1988 6 Percentage change +900.0%
1989 -1.6 Percentage change -126.7%
1990 -7.3 Percentage change +356.2%
1991 -3.3 Percentage change -54.8%
1992 0.6 Percentage change -118.2%
1993 -2.5 Percentage change -516.7%
1994 0.8 Percentage change -132.0%
1995 -13.3 Percentage change -1762.5%
1996 0.5 Percentage change -103.8%
1997 -0.9 Percentage change -280.0%
1998 2.1 Percentage change -333.3%
1999 -1.6 Percentage change -176.2%
2000 6.5 Percentage change -506.2%
2001 2.8 Percentage change -56.9%
2002 -0.4 Percentage change -114.3%
2003 1.5 Percentage change -475.0%
2004 2.5 Percentage change +66.7%
2005 1.9 Percentage change -24.0%
2006 0.6 Percentage change -68.4%
2007 1.1 Percentage change +83.3%
2008 5.8 Percentage change +427.3%
2009 0.1 Percentage change -98.3%
2010 -0.4 Percentage change -500.0%
2011 -9.7 Percentage change +2325.0%
2012 7 Percentage change -172.2%
2013 -0.6 Percentage change -108.6%
2014 2.6 Percentage change -533.3%
2015 3.5 Percentage change +34.6%
2016 2.1 Percentage change -40.0%
2017 4 Percentage change +90.5%
2018 -6.4 Percentage change -260.0%
2019 2.9 Percentage change -145.3%
2020 -1.6 Percentage change -155.2%
2021 1.7 Percentage change -206.2%
2022 -1.3 Percentage change -176.5%
2023 4.1 Percentage change -415.4%
2024 1.5 Percentage change -63.4%
2025 -8.4 Percentage change -660.0%

Averages by decade

DecadeAverage LowestHighest Years
1950s 6.67 Percentage change -7.7 Percentage change 16.8 Percentage change 10
1960s 7.38 Percentage change 0.1 Percentage change 13 Percentage change 10
1970s 8.59 Percentage change 0.3 Percentage change 14.1 Percentage change 10
1980s 1.83 Percentage change -7.7 Percentage change 15.2 Percentage change 10
1990s -2.49 Percentage change -13.3 Percentage change 2.1 Percentage change 10
2000s 2.24 Percentage change -0.4 Percentage change 6.5 Percentage change 10
2010s 0.5 Percentage change -9.7 Percentage change 7 Percentage change 10
2020s -0.6667 Percentage change -8.4 Percentage change 4.1 Percentage change 6

More environment data for Cheshire West and Chester

All data for Cheshire West and Chester →

Frequently asked questions

What is drought - cities and fuas — land soil moisture anomaly in Cheshire West and Chester?
Drought - cities and fuas — land soil moisture anomaly in Cheshire West and Chester was -8.4 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 Cheshire West and Chester?
The highest recorded value was 16.8 Percentage change in 1958.
What is the lowest drought - cities and fuas — land soil moisture anomaly recorded in Cheshire West and Chester?
The lowest recorded value was -13.3 Percentage change in 1995.
How does Cheshire West and Chester rank for drought - cities and fuas — land soil moisture anomaly?
Cheshire West and Chester ranks 1066th out of 1315 regions with data for 2025.
Is drought - cities and fuas — land soil moisture anomaly rising or falling in Cheshire West and Chester?
Over the last ten years it is down 340.0%. The long-run trend across the full record is volatile.
Where does this Cheshire West and Chester 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.

Download this data

CSV · JSON — 76 observations, free to reuse under OECD Terms and Conditions (attribution required).

Share, cite or embed this page

Cite this page

Drought - Cities and FUAs — Land soil moisture anomaly in Cheshire West and Chester. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 27 August 2026, from https://environment.statizoid.com/stat/drought-cities-and-fuas-land-soil-moisture-anomaly/cheshire-west-and-chester/

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under OECD Terms and Conditions (attribution required); please keep the attribution.

<a href="https://environment.statizoid.com/stat/drought-cities-and-fuas-land-soil-moisture-anomaly/cheshire-west-and-chester/">Drought - Cities and FUAs — Land soil moisture anomaly in Cheshire West and Chester</a> — Statizoid

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