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

Elat: Drought - Cities and FUAs — Land soil moisture anomaly was -37.9 Percentage change in 2025. ◆ Volatile

Latest (2025)
-37.9 Percentage change
Change on year
down 40.4%
Rank
1312th
of 1315 regions
All-time high
165 Percentage change
in 1954
All-time low
-54.4 Percentage change
in 1999
Years of data
76
1950–2025

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

-50050100150195019872025

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

Analysis

In 2025, drought - cities and fuas — land soil moisture anomaly in Elat stood at -37.9 Percentage change.

That represents a change of down 40.4% on the previous year and down 152.4% over ten years.

Over the whole period, drought - cities and fuas — land soil moisture anomaly in Elat peaked at 165 Percentage change in 1954 and was at its lowest, -54.4 Percentage change, in 1999.

That places Elat 1312th 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 Elat, year by year

Annual values for Drought - Cities and FUAs — Land soil moisture anomaly in Elat, 1950 to 2025.
Year Percentage change Change
1950 43.1 Percentage change —
1951 -8.3 Percentage change -119.3%
1952 0.9 Percentage change -110.8%
1953 39.5 Percentage change +4288.9%
1954 165 Percentage change +317.7%
1955 35.4 Percentage change -78.5%
1956 -2.9 Percentage change -108.2%
1957 1 Percentage change -134.5%
1958 -44.7 Percentage change -4570.0%
1959 8.1 Percentage change -118.1%
1960 -14.4 Percentage change -277.8%
1961 13.8 Percentage change -195.8%
1962 -30.4 Percentage change -320.3%
1963 -14.4 Percentage change -52.6%
1964 13.8 Percentage change -195.8%
1965 5.2 Percentage change -62.3%
1966 -19 Percentage change -465.4%
1967 11.9 Percentage change -162.6%
1968 31.6 Percentage change +165.5%
1969 45 Percentage change +42.4%
1970 -27.2 Percentage change -160.4%
1971 43.1 Percentage change -258.5%
1972 164.4 Percentage change +281.4%
1973 -20.1 Percentage change -112.2%
1974 113.1 Percentage change -662.7%
1975 41.8 Percentage change -63.0%
1976 50.4 Percentage change +20.6%
1977 -29.1 Percentage change -157.7%
1978 -32.6 Percentage change +12.0%
1979 -3.3 Percentage change -89.9%
1980 -2.5 Percentage change -24.2%
1981 90.1 Percentage change -3704.0%
1982 107.1 Percentage change +18.9%
1983 -21.3 Percentage change -119.9%
1984 -34.5 Percentage change +62.0%
1985 -33.2 Percentage change -3.8%
1986 52.9 Percentage change -259.3%
1987 -16.6 Percentage change -131.4%
1988 -6.3 Percentage change -62.0%
1989 53.2 Percentage change -944.4%
1990 -25 Percentage change -147.0%
1991 8.4 Percentage change -133.6%
1992 29.3 Percentage change +248.8%
1993 -10.4 Percentage change -135.5%
1994 53.6 Percentage change -615.4%
1995 -17.5 Percentage change -132.6%
1996 -15.6 Percentage change -10.9%
1997 32 Percentage change -305.1%
1998 -24.8 Percentage change -177.5%
1999 -54.4 Percentage change +119.4%
2000 -31.8 Percentage change -41.5%
2001 -25.7 Percentage change -19.2%
2002 19.2 Percentage change -174.7%
2003 -23.5 Percentage change -222.4%
2004 -3.1 Percentage change -86.8%
2005 -38.7 Percentage change +1148.4%
2006 -44.3 Percentage change +14.5%
2007 -20.7 Percentage change -53.3%
2008 -0.9 Percentage change -95.7%
2009 -40.4 Percentage change +4388.9%
2010 42.8 Percentage change -205.9%
2011 4.1 Percentage change -90.4%
2012 11 Percentage change +168.3%
2013 24.3 Percentage change +120.9%
2014 36 Percentage change +48.1%
2015 72.3 Percentage change +100.8%
2016 4.9 Percentage change -93.2%
2017 -18.1 Percentage change -469.4%
2018 38.7 Percentage change -313.8%
2019 -6.8 Percentage change -117.6%
2020 58.7 Percentage change -963.2%
2021 -12.5 Percentage change -121.3%
2022 2.5 Percentage change -120.0%
2023 38.7 Percentage change +1448.0%
2024 -27 Percentage change -169.8%
2025 -37.9 Percentage change +40.4%

Biggest year-on-year movements

Years where Drought - Cities and FUAs — Land soil moisture anomaly in Elat 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
1958 -4570.0% 1 Percentage change -44.7 Percentage change
2009 -4388.9% -0.9 Percentage change -40.4 Percentage change
1953 +4288.9% 0.9 Percentage change 39.5 Percentage change
1981 +3704.0% -2.5 Percentage change 90.1 Percentage change
2023 +1448.0% 2.5 Percentage change 38.7 Percentage change

Averages by decade

DecadeAverage LowestHighest Years
1950s 23.71 Percentage change -44.7 Percentage change 165 Percentage change 10
1960s 4.31 Percentage change -30.4 Percentage change 45 Percentage change 10
1970s 30.05 Percentage change -32.6 Percentage change 164.4 Percentage change 10
1980s 18.89 Percentage change -34.5 Percentage change 107.1 Percentage change 10
1990s -2.44 Percentage change -54.4 Percentage change 53.6 Percentage change 10
2000s -20.99 Percentage change -44.3 Percentage change 19.2 Percentage change 10
2010s 20.92 Percentage change -18.1 Percentage change 72.3 Percentage change 10
2020s 3.75 Percentage change -37.9 Percentage change 58.7 Percentage change 6

More environment data for Elat

All data for Elat →

Frequently asked questions

What is drought - cities and fuas — land soil moisture anomaly in Elat?
Drought - cities and fuas — land soil moisture anomaly in Elat was -37.9 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 Elat?
The highest recorded value was 165 Percentage change in 1954.
What is the lowest drought - cities and fuas — land soil moisture anomaly recorded in Elat?
The lowest recorded value was -54.4 Percentage change in 1999.
How does Elat rank for drought - cities and fuas — land soil moisture anomaly?
Elat ranks 1312th out of 1315 regions with data for 2025.
Is drought - cities and fuas — land soil moisture anomaly rising or falling in Elat?
Over the last ten years it is down 152.4%. The long-run trend across the full record is volatile.
Where does this Elat 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 Elat. 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/elat/

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/elat/">Drought - Cities and FUAs — Land soil moisture anomaly in Elat</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