Drought - Cities and FUAs — Land soil moisture anomaly in Luxembourg
Luxembourg: Drought - Cities and FUAs — Land soil moisture anomaly was -0.5 Percentage change in 2025. ◆ Volatile
Drought - Cities and FUAs — Land soil moisture anomaly in Luxembourg, 1950–2025
Source: Organisation for Economic Co-operation and Development. Measured in Percentage change.
Analysis
Luxembourg recorded -0.5 Percentage change for drought - cities and fuas — land soil moisture anomaly in 2025.
The figure is down 106.2% on the previous year and up 87.5% over ten years.
Over the whole period, drought - cities and fuas — land soil moisture anomaly in Luxembourg peaked at 13.9 Percentage change in 1965 and was at its lowest, -12.7 Percentage change, in 1964.
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 Luxembourg, year by year
| Year | Percentage change | Change |
|---|---|---|
| 1950 | -5.3 Percentage change | — |
| 1951 | 6.9 Percentage change | -230.2% |
| 1952 | -3.6 Percentage change | -152.2% |
| 1953 | -3.2 Percentage change | -11.1% |
| 1954 | 1.1 Percentage change | -134.4% |
| 1955 | -12 Percentage change | -1190.9% |
| 1956 | 10.2 Percentage change | -185.0% |
| 1957 | 2.2 Percentage change | -78.4% |
| 1958 | 4.4 Percentage change | +100.0% |
| 1959 | -6 Percentage change | -236.4% |
| 1960 | 6 Percentage change | -200.0% |
| 1961 | -1.9 Percentage change | -131.7% |
| 1962 | -7.8 Percentage change | +310.5% |
| 1963 | -1.9 Percentage change | -75.6% |
| 1964 | -12.7 Percentage change | +568.4% |
| 1965 | 13.9 Percentage change | -209.4% |
| 1966 | 3.8 Percentage change | -72.7% |
| 1967 | 3.6 Percentage change | -5.3% |
| 1968 | 4.5 Percentage change | +25.0% |
| 1969 | 4.8 Percentage change | +6.7% |
| 1970 | 6.9 Percentage change | +43.8% |
| 1971 | -2.4 Percentage change | -134.8% |
| 1972 | 4.1 Percentage change | -270.8% |
| 1973 | -0.8 Percentage change | -119.5% |
| 1974 | 5.4 Percentage change | -775.0% |
| 1975 | -0.4 Percentage change | -107.4% |
| 1976 | -11.8 Percentage change | +2850.0% |
| 1977 | 3.9 Percentage change | -133.1% |
| 1978 | 2.2 Percentage change | -43.6% |
| 1979 | 4.2 Percentage change | +90.9% |
| 1980 | 9.4 Percentage change | +123.8% |
| 1981 | 13.1 Percentage change | +39.4% |
| 1982 | -1.6 Percentage change | -112.2% |
| 1983 | 1.6 Percentage change | -200.0% |
| 1984 | 1.5 Percentage change | -6.3% |
| 1985 | 0.7 Percentage change | -53.3% |
| 1986 | 1.4 Percentage change | +100.0% |
| 1987 | 11.2 Percentage change | +700.0% |
| 1988 | 3.5 Percentage change | -68.8% |
| 1989 | -4 Percentage change | -214.3% |
| 1990 | -0.3 Percentage change | -92.5% |
| 1991 | -8.8 Percentage change | +2833.3% |
| 1992 | 0 Percentage change | -100.0% |
| 1993 | -11 Percentage change | — |
| 1994 | 0 Percentage change | -100.0% |
| 1995 | 0.2 Percentage change | — |
| 1996 | -2.9 Percentage change | -1550.0% |
| 1997 | -1.9 Percentage change | -34.5% |
| 1998 | 1 Percentage change | -152.6% |
| 1999 | -2.9 Percentage change | -390.0% |
| 2000 | 7.1 Percentage change | -344.8% |
| 2001 | -0.8 Percentage change | -111.3% |
| 2002 | -3.4 Percentage change | +325.0% |
| 2003 | -4.9 Percentage change | +44.1% |
| 2004 | -4.9 Percentage change | -0.0% |
| 2005 | -0.5 Percentage change | -89.8% |
| 2006 | 3.5 Percentage change | -800.0% |
| 2007 | 3.4 Percentage change | -2.9% |
| 2008 | 7.1 Percentage change | +108.8% |
| 2009 | -9.9 Percentage change | -239.4% |
| 2010 | 2.2 Percentage change | -122.2% |
| 2011 | -10.8 Percentage change | -590.9% |
| 2012 | 0.7 Percentage change | -106.5% |
| 2013 | 6.1 Percentage change | +771.4% |
| 2014 | -1.5 Percentage change | -124.6% |
| 2015 | -4 Percentage change | +166.7% |
| 2016 | 2.1 Percentage change | -152.5% |
| 2017 | -4.2 Percentage change | -300.0% |
| 2018 | -10.3 Percentage change | +145.2% |
| 2019 | -11.3 Percentage change | +9.7% |
| 2020 | -9.2 Percentage change | -18.6% |
| 2021 | 6.7 Percentage change | -172.8% |
| 2022 | -6 Percentage change | -189.6% |
| 2023 | 1.7 Percentage change | -128.3% |
| 2024 | 8 Percentage change | +370.6% |
| 2025 | -0.5 Percentage change | -106.2% |
Biggest year-on-year movements
Years where Drought - Cities and FUAs — Land soil moisture anomaly in Luxembourg 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.
| Year | Change | From | To |
|---|---|---|---|
| 1976 | -2850.0% | -0.4 Percentage change | -11.8 Percentage change |
| 1991 | -2833.3% | -0.3 Percentage change | -8.8 Percentage change |
| 1996 | -1550.0% | 0.2 Percentage change | -2.9 Percentage change |
| 1955 | -1190.9% | 1.1 Percentage change | -12 Percentage change |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1950s | -0.53 Percentage change | -12 Percentage change | 10.2 Percentage change | 10 |
| 1960s | 1.23 Percentage change | -12.7 Percentage change | 13.9 Percentage change | 10 |
| 1970s | 1.13 Percentage change | -11.8 Percentage change | 6.9 Percentage change | 10 |
| 1980s | 3.68 Percentage change | -4 Percentage change | 13.1 Percentage change | 10 |
| 1990s | -2.66 Percentage change | -11 Percentage change | 1 Percentage change | 10 |
| 2000s | -0.33 Percentage change | -9.9 Percentage change | 7.1 Percentage change | 10 |
| 2010s | -3.1 Percentage change | -11.3 Percentage change | 6.1 Percentage change | 10 |
| 2020s | 0.1167 Percentage change | -9.2 Percentage change | 8 Percentage change | 6 |
Countries ranked near Luxembourg
More environment data for Luxembourg
- Historical exposure to drought — Land soil moisture anomaly -0.2585 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -0.1872 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.601 °C (2025)
- Temperature change 2.18 °C (2025)
- Wood-based panels — Production, annual growth rate 0 % change on previous year (2024)
- Total greenhouse gas emissions excluding LULUCF (Mt CO2e), annual 2.56 % change on previous year (2024)
- Total greenhouse gas emissions excluding LULUCF (Mt CO2e), per unit 0 Mt CO2e per US$ of GDP (2024)
- Total greenhouse gas emissions excluding LULUCF (Mt CO2e), per capita 0 Mt CO2e per person (2024)
- Methane (CH4) emissions from Agriculture (Mt CO2e), annual growth rate 0 % change on previous year (2024)
Frequently asked questions
- What is drought - cities and fuas — land soil moisture anomaly in Luxembourg?
- Drought - cities and fuas — land soil moisture anomaly in Luxembourg was -0.5 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 Luxembourg?
- The highest recorded value was 13.9 Percentage change in 1965.
- What is the lowest drought - cities and fuas — land soil moisture anomaly recorded in Luxembourg?
- The lowest recorded value was -12.7 Percentage change in 1964.
- How does Luxembourg rank for drought - cities and fuas — land soil moisture anomaly?
- Luxembourg ranks 1st out of 2 countries with data for 2025.
- Is drought - cities and fuas — land soil moisture anomaly rising or falling in Luxembourg?
- Over the last ten years it is up 87.5%. The long-run trend across the full record is volatile.
- Where does this Luxembourg 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).
About this data
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