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

Ector: Drought - Cities and FUAs — Land soil moisture anomaly was -25.1 Percentage change in 2025. ◆ Volatile

Latest (2025)
-25.1 Percentage change
Change on year
down 6.8%
Rank
1303rd
of 1315 regions
All-time high
34.7 Percentage change
in 2004
All-time low
-36.2 Percentage change
in 2011
Years of data
76
1950–2025

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

-40-2002040195019872025

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

Analysis

In 2025, drought - cities and fuas — land soil moisture anomaly in Ector stood at -25.1 Percentage change.

Compared with earlier readings it is down 6.8% on the previous year and down 372.8% over ten years.

Over the whole period, drought - cities and fuas — land soil moisture anomaly in Ector peaked at 34.7 Percentage change in 2004 and was at its lowest, -36.2 Percentage change, in 2011.

That places Ector 1303rd 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 Ector, year by year

Annual values for Drought - Cities and FUAs — Land soil moisture anomaly in Ector, 1950 to 2025.
Year Percentage change Change
1950 -25.1 Percentage change —
1951 -28 Percentage change +11.6%
1952 -27.3 Percentage change -2.5%
1953 -28.8 Percentage change +5.5%
1954 -22.9 Percentage change -20.5%
1955 -30 Percentage change +31.0%
1956 -25.1 Percentage change -16.3%
1957 15.6 Percentage change -162.2%
1958 7 Percentage change -55.1%
1959 -9.2 Percentage change -231.4%
1960 -9.2 Percentage change -0.0%
1961 -6.6 Percentage change -28.3%
1962 -29.2 Percentage change +342.4%
1963 -25.1 Percentage change -14.0%
1964 -7.3 Percentage change -70.9%
1965 -22 Percentage change +201.4%
1966 -1.2 Percentage change -94.5%
1967 -4.7 Percentage change +291.7%
1968 -8.2 Percentage change +74.5%
1969 -10.1 Percentage change +23.2%
1970 9.2 Percentage change -191.1%
1971 -18.6 Percentage change -302.2%
1972 -7.7 Percentage change -58.6%
1973 -9.8 Percentage change +27.3%
1974 8.4 Percentage change -185.7%
1975 -10 Percentage change -219.0%
1976 -3.1 Percentage change -69.0%
1977 -14.6 Percentage change +371.0%
1978 -1.5 Percentage change -89.7%
1979 -12 Percentage change +700.0%
1980 1.8 Percentage change -115.0%
1981 7.2 Percentage change +300.0%
1982 -8.2 Percentage change -213.9%
1983 2.2 Percentage change -126.8%
1984 -2.1 Percentage change -195.5%
1985 15.4 Percentage change -833.3%
1986 19.3 Percentage change +25.3%
1987 29.7 Percentage change +53.9%
1988 -6.8 Percentage change -122.9%
1989 -24.5 Percentage change +260.3%
1990 11.3 Percentage change -146.1%
1991 -0.1 Percentage change -100.9%
1992 10.5 Percentage change -10600.0%
1993 0.2 Percentage change -98.1%
1994 -20.3 Percentage change -10250.0%
1995 -1.6 Percentage change -92.1%
1996 -2.9 Percentage change +81.2%
1997 -19.4 Percentage change +569.0%
1998 1.4 Percentage change -107.2%
1999 -2.7 Percentage change -292.9%
2000 -11.5 Percentage change +325.9%
2001 3 Percentage change -126.1%
2002 -1.7 Percentage change -156.7%
2003 -5.1 Percentage change +200.0%
2004 34.7 Percentage change -780.4%
2005 1.3 Percentage change -96.3%
2006 -15.8 Percentage change -1315.4%
2007 23.4 Percentage change -248.1%
2008 -10 Percentage change -142.7%
2009 -22.4 Percentage change +124.0%
2010 -4.4 Percentage change -80.4%
2011 -36.2 Percentage change +722.7%
2012 -14.5 Percentage change -59.9%
2013 -24 Percentage change +65.5%
2014 -19.6 Percentage change -18.3%
2015 9.2 Percentage change -146.9%
2016 1.1 Percentage change -88.0%
2017 -12.1 Percentage change -1200.0%
2018 -6 Percentage change -50.4%
2019 -9.7 Percentage change +61.7%
2020 -22.4 Percentage change +130.9%
2021 4 Percentage change -117.9%
2022 -13.1 Percentage change -427.5%
2023 -15.8 Percentage change +20.6%
2024 -23.5 Percentage change +48.7%
2025 -25.1 Percentage change +6.8%

Biggest year-on-year movements

Years where Drought - Cities and FUAs — Land soil moisture anomaly in Ector 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 +10600.0% -0.1 Percentage change 10.5 Percentage change
1994 -10250.0% 0.2 Percentage change -20.3 Percentage change
2006 -1315.4% 1.3 Percentage change -15.8 Percentage change
2017 -1200.0% 1.1 Percentage change -12.1 Percentage change

Averages by decade

DecadeAverage LowestHighest Years
1950s -17.38 Percentage change -30 Percentage change 15.6 Percentage change 10
1960s -12.36 Percentage change -29.2 Percentage change -1.2 Percentage change 10
1970s -5.97 Percentage change -18.6 Percentage change 9.2 Percentage change 10
1980s 3.4 Percentage change -24.5 Percentage change 29.7 Percentage change 10
1990s -2.36 Percentage change -20.3 Percentage change 11.3 Percentage change 10
2000s -0.41 Percentage change -22.4 Percentage change 34.7 Percentage change 10
2010s -11.62 Percentage change -36.2 Percentage change 9.2 Percentage change 10
2020s -15.98 Percentage change -25.1 Percentage change 4 Percentage change 6

More environment data for Ector

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Frequently asked questions

What is drought - cities and fuas — land soil moisture anomaly in Ector?
Drought - cities and fuas — land soil moisture anomaly in Ector was -25.1 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 Ector?
The highest recorded value was 34.7 Percentage change in 2004.
What is the lowest drought - cities and fuas — land soil moisture anomaly recorded in Ector?
The lowest recorded value was -36.2 Percentage change in 2011.
How does Ector rank for drought - cities and fuas — land soil moisture anomaly?
Ector ranks 1303rd out of 1315 regions with data for 2025.
Is drought - cities and fuas — land soil moisture anomaly rising or falling in Ector?
Over the last ten years it is down 372.8%. The long-run trend across the full record is volatile.
Where does this Ector 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 Ector. 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/ector/

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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