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

Verviers: Drought - Cities and FUAs — Land soil moisture anomaly was -2.9 Percentage change in 2025. ◆ Volatile

Latest (2025)
-2.9 Percentage change
Change on year
down 164.4%
Rank
662nd
of 1315 regions
All-time high
116.4 Percentage change
in 1965
All-time low
-9.8 Percentage change
in 2019
Years of data
76
1950–2025

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

050100195019872025

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

Analysis

Verviers recorded -2.9 Percentage change for drought - cities and fuas — land soil moisture anomaly in 2025.

That represents a change of down 164.4% on the previous year and down 262.5% over ten years.

Over the whole period, drought - cities and fuas — land soil moisture anomaly in Verviers peaked at 116.4 Percentage change in 1965 and was at its lowest, -9.8 Percentage change, in 2019.

That places Verviers 662nd 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 Verviers, year by year

Annual values for Drought - Cities and FUAs — Land soil moisture anomaly in Verviers, 1950 to 2025.
Year Percentage change Change
1950 98.1 Percentage change —
1951 99.3 Percentage change +1.2%
1952 92.1 Percentage change -7.3%
1953 95.1 Percentage change +3.3%
1954 108.8 Percentage change +14.4%
1955 83.8 Percentage change -23.0%
1956 114.7 Percentage change +36.9%
1957 95 Percentage change -17.2%
1958 103.9 Percentage change +9.4%
1959 86.7 Percentage change -16.6%
1960 115.9 Percentage change +33.7%
1961 101.4 Percentage change -12.5%
1962 88.9 Percentage change -12.3%
1963 96.1 Percentage change +8.1%
1964 88.3 Percentage change -8.1%
1965 116.4 Percentage change +31.8%
1966 109.1 Percentage change -6.3%
1967 103.9 Percentage change -4.8%
1968 103.4 Percentage change -0.5%
1969 108.9 Percentage change +5.3%
1970 109.4 Percentage change +0.5%
1971 94.6 Percentage change -13.5%
1972 107.6 Percentage change +13.7%
1973 99 Percentage change -8.0%
1974 109.4 Percentage change +10.5%
1975 100.9 Percentage change -7.8%
1976 82.3 Percentage change -18.4%
1977 102.4 Percentage change +24.4%
1978 107.6 Percentage change +5.1%
1979 105.8 Percentage change -1.7%
1980 115.8 Percentage change +9.5%
1981 9.9 Percentage change -91.5%
1982 3.1 Percentage change -68.7%
1983 -2 Percentage change -164.5%
1984 -0.7 Percentage change -65.0%
1985 3 Percentage change -528.6%
1986 -1.6 Percentage change -153.3%
1987 7.5 Percentage change -568.7%
1988 2.3 Percentage change -69.3%
1989 -6.2 Percentage change -369.6%
1990 -1.5 Percentage change -75.8%
1991 -5.2 Percentage change +246.7%
1992 -1.5 Percentage change -71.2%
1993 -5.9 Percentage change +293.3%
1994 -2.1 Percentage change -64.4%
1995 -2.8 Percentage change +33.3%
1996 1.1 Percentage change -139.3%
1997 -2.6 Percentage change -336.4%
1998 6.3 Percentage change -342.3%
1999 -4.6 Percentage change -173.0%
2000 5.3 Percentage change -215.2%
2001 -2.5 Percentage change -147.2%
2002 -2.9 Percentage change +16.0%
2003 -4.1 Percentage change +41.4%
2004 1.7 Percentage change -141.5%
2005 3 Percentage change +76.5%
2006 2.8 Percentage change -6.7%
2007 4.3 Percentage change +53.6%
2008 5.6 Percentage change +30.2%
2009 -8.2 Percentage change -246.4%
2010 -1.5 Percentage change -81.7%
2011 -6.2 Percentage change +313.3%
2012 0.3 Percentage change -104.8%
2013 -0.1 Percentage change -133.3%
2014 -0.1 Percentage change -0.0%
2015 -0.8 Percentage change +700.0%
2016 0.1 Percentage change -112.5%
2017 -1.4 Percentage change -1500.0%
2018 -8.4 Percentage change +500.0%
2019 -9.8 Percentage change +16.7%
2020 -9.7 Percentage change -1.0%
2021 3.5 Percentage change -136.1%
2022 -6.3 Percentage change -280.0%
2023 1.5 Percentage change -123.8%
2024 4.5 Percentage change +200.0%
2025 -2.9 Percentage change -164.4%

Biggest year-on-year movements

Years where Drought - Cities and FUAs — Land soil moisture anomaly in Verviers 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
2017 -1500.0% 0.1 Percentage change -1.4 Percentage change
2015 -700.0% -0.1 Percentage change -0.8 Percentage change
1987 +568.7% -1.6 Percentage change 7.5 Percentage change
1985 +528.6% -0.7 Percentage change 3 Percentage change
2018 -500.0% -1.4 Percentage change -8.4 Percentage change
1989 -369.6% 2.3 Percentage change -6.2 Percentage change

Averages by decade

DecadeAverage LowestHighest Years
1950s 97.75 Percentage change 83.8 Percentage change 114.7 Percentage change 10
1960s 103.23 Percentage change 88.3 Percentage change 116.4 Percentage change 10
1970s 101.9 Percentage change 82.3 Percentage change 109.4 Percentage change 10
1980s 13.11 Percentage change -6.2 Percentage change 115.8 Percentage change 10
1990s -1.88 Percentage change -5.9 Percentage change 6.3 Percentage change 10
2000s 0.5 Percentage change -8.2 Percentage change 5.6 Percentage change 10
2010s -2.79 Percentage change -9.8 Percentage change 0.3 Percentage change 10
2020s -1.57 Percentage change -9.7 Percentage change 4.5 Percentage change 6

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Frequently asked questions

What is drought - cities and fuas — land soil moisture anomaly in Verviers?
Drought - cities and fuas — land soil moisture anomaly in Verviers was -2.9 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 Verviers?
The highest recorded value was 116.4 Percentage change in 1965.
What is the lowest drought - cities and fuas — land soil moisture anomaly recorded in Verviers?
The lowest recorded value was -9.8 Percentage change in 2019.
How does Verviers rank for drought - cities and fuas — land soil moisture anomaly?
Verviers ranks 662nd out of 1315 regions with data for 2025.
Is drought - cities and fuas — land soil moisture anomaly rising or falling in Verviers?
Over the last ten years it is down 262.5%. The long-run trend across the full record is volatile.
Where does this Verviers 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 Verviers. 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/verviers/

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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