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

Brindisi: Drought - Cities and FUAs — Land soil moisture anomaly was 1 Percentage change in 2025. ◆ Volatile

Latest (2025)
1 Percentage change
Change on year
up 106.3%
Rank
306th
of 1315 regions
All-time high
17.4 Percentage change
in 2009
All-time low
-30.9 Percentage change
in 1961
Years of data
76
1950–2025

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

-30-20-1001020195019872025

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

Analysis

The most recent figure for drought - cities and fuas — land soil moisture anomaly in Brindisi is 1 Percentage change, measured in 2025.

Compared with earlier readings it is up 106.3% on the previous year and down 90.0% over ten years.

Over the whole period, drought - cities and fuas — land soil moisture anomaly in Brindisi peaked at 17.4 Percentage change in 2009 and was at its lowest, -30.9 Percentage change, in 1961.

Brindisi ranks 306th of 1315 regions on this measure, in the top 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 Brindisi, year by year

Annual values for Drought - Cities and FUAs — Land soil moisture anomaly in Brindisi, 1950 to 2025.
Year Percentage change Change
1950 -24.6 Percentage change —
1951 -22.2 Percentage change -9.8%
1952 -30.5 Percentage change +37.4%
1953 -28.4 Percentage change -6.9%
1954 -16.4 Percentage change -42.3%
1955 -17.7 Percentage change +7.9%
1956 -20.4 Percentage change +15.3%
1957 -22.8 Percentage change +11.8%
1958 -18.4 Percentage change -19.3%
1959 -18.8 Percentage change +2.2%
1960 -24.4 Percentage change +29.8%
1961 -30.9 Percentage change +26.6%
1962 -18.3 Percentage change -40.8%
1963 -7.4 Percentage change -59.6%
1964 -14.7 Percentage change +98.6%
1965 -30.7 Percentage change +108.8%
1966 -11.8 Percentage change -61.6%
1967 -18.3 Percentage change +55.1%
1968 -24.4 Percentage change +33.3%
1969 -19.8 Percentage change -18.9%
1970 -17.6 Percentage change -11.1%
1971 -17 Percentage change -3.4%
1972 -0.8 Percentage change -95.3%
1973 -13.6 Percentage change +1600.0%
1974 -10.4 Percentage change -23.5%
1975 -24.2 Percentage change +132.7%
1976 -11.8 Percentage change -51.2%
1977 -27.6 Percentage change +133.9%
1978 -26 Percentage change -5.8%
1979 -22.1 Percentage change -15.0%
1980 -19.6 Percentage change -11.3%
1981 -9.4 Percentage change -52.0%
1982 -8.5 Percentage change -9.6%
1983 1.8 Percentage change -121.2%
1984 -0.1 Percentage change -105.6%
1985 3 Percentage change -3100.0%
1986 -5.1 Percentage change -270.0%
1987 7.2 Percentage change -241.2%
1988 7.6 Percentage change +5.6%
1989 -10.4 Percentage change -236.8%
1990 -22.3 Percentage change +114.4%
1991 3.2 Percentage change -114.3%
1992 -14.7 Percentage change -559.4%
1993 -1 Percentage change -93.2%
1994 -11.2 Percentage change +1020.0%
1995 3.3 Percentage change -129.5%
1996 14 Percentage change +324.2%
1997 4.8 Percentage change -65.7%
1998 1 Percentage change -79.2%
1999 3.2 Percentage change +220.0%
2000 -19.4 Percentage change -706.2%
2001 -4.9 Percentage change -74.7%
2002 2 Percentage change -140.8%
2003 -1.8 Percentage change -190.0%
2004 8.6 Percentage change -577.8%
2005 14.2 Percentage change +65.1%
2006 7.8 Percentage change -45.1%
2007 7.5 Percentage change -3.8%
2008 -5.2 Percentage change -169.3%
2009 17.4 Percentage change -434.6%
2010 7.6 Percentage change -56.3%
2011 3.8 Percentage change -50.0%
2012 -9.5 Percentage change -350.0%
2013 1.9 Percentage change -120.0%
2014 8.5 Percentage change +347.4%
2015 10 Percentage change +17.6%
2016 -2.7 Percentage change -127.0%
2017 -9.4 Percentage change +248.1%
2018 -0.4 Percentage change -95.7%
2019 -7.4 Percentage change +1750.0%
2020 -2.4 Percentage change -67.6%
2021 -8.8 Percentage change +266.7%
2022 -7.2 Percentage change -18.2%
2023 -5.1 Percentage change -29.2%
2024 -15.9 Percentage change +211.8%
2025 1 Percentage change -106.3%

Biggest year-on-year movements

Years where Drought - Cities and FUAs — Land soil moisture anomaly in Brindisi 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
1985 +3100.0% -0.1 Percentage change 3 Percentage change
2019 -1750.0% -0.4 Percentage change -7.4 Percentage change
1973 -1600.0% -0.8 Percentage change -13.6 Percentage change
1994 -1020.0% -1 Percentage change -11.2 Percentage change
2000 -706.2% 3.2 Percentage change -19.4 Percentage change

Averages by decade

DecadeAverage LowestHighest Years
1950s -22.02 Percentage change -30.5 Percentage change -16.4 Percentage change 10
1960s -20.07 Percentage change -30.9 Percentage change -7.4 Percentage change 10
1970s -17.11 Percentage change -27.6 Percentage change -0.8 Percentage change 10
1980s -3.35 Percentage change -19.6 Percentage change 7.6 Percentage change 10
1990s -1.97 Percentage change -22.3 Percentage change 14 Percentage change 10
2000s 2.62 Percentage change -19.4 Percentage change 17.4 Percentage change 10
2010s 0.24 Percentage change -9.5 Percentage change 10 Percentage change 10
2020s -6.4 Percentage change -15.9 Percentage change 1 Percentage change 6

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Frequently asked questions

What is drought - cities and fuas — land soil moisture anomaly in Brindisi?
Drought - cities and fuas — land soil moisture anomaly in Brindisi was 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 Brindisi?
The highest recorded value was 17.4 Percentage change in 2009.
What is the lowest drought - cities and fuas — land soil moisture anomaly recorded in Brindisi?
The lowest recorded value was -30.9 Percentage change in 1961.
How does Brindisi rank for drought - cities and fuas — land soil moisture anomaly?
Brindisi ranks 306th out of 1315 regions with data for 2025.
Is drought - cities and fuas — land soil moisture anomaly rising or falling in Brindisi?
Over the last ten years it is down 90.0%. The long-run trend across the full record is volatile.
Where does this Brindisi 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 Brindisi. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 14 October 2026, from https://environment.statizoid.com/stat/drought-cities-and-fuas-land-soil-moisture-anomaly/brindisi/

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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