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

Sumter: Drought - Cities and FUAs — Land soil moisture anomaly was -9.7 Percentage change in 2025. ◆ Volatile

Latest (2025)
-9.7 Percentage change
Change on year
down 1,112.5%
Rank
1156th
of 1323 regions
All-time high
34.7 Percentage change
in 1959
All-time low
-28.8 Percentage change
in 1967
Years of data
76
1950–2025

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

-2002040195019872025

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 Sumter is -9.7 Percentage change, measured in 2025.

The figure is down 1,112.5% on the previous year and down 385.3% over ten years.

Over the whole period, drought - cities and fuas — land soil moisture anomaly in Sumter peaked at 34.7 Percentage change in 1959 and was at its lowest, -28.8 Percentage change, in 1967.

Sumter ranks 1156th of 1323 regions on this measure, in the bottom quarter.

The series is highly variable year to year, so single readings are best treated with caution.

Averages by decade

DecadeAverage LowestHighest Years
1950s -2.89 Percentage change -25.3 Percentage change 34.7 Percentage change 10
1960s -4.11 Percentage change -28.8 Percentage change 13.9 Percentage change 10
1970s -3.52 Percentage change -12.4 Percentage change 11.3 Percentage change 10
1980s 2.25 Percentage change -26.5 Percentage change 23.9 Percentage change 10
1990s 3.39 Percentage change -7.4 Percentage change 20 Percentage change 10
2000s -6.86 Percentage change -26 Percentage change 11.3 Percentage change 10
2010s -2.47 Percentage change -24.8 Percentage change 14.9 Percentage change 10
2020s -2.17 Percentage change -9.7 Percentage change 10 Percentage change 6

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Frequently asked questions

What is drought - cities and fuas — land soil moisture anomaly in Sumter?
Drought - cities and fuas — land soil moisture anomaly in Sumter was -9.7 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 Sumter?
The highest recorded value was 34.7 Percentage change in 1959.
What is the lowest drought - cities and fuas — land soil moisture anomaly recorded in Sumter?
The lowest recorded value was -28.8 Percentage change in 1967.
How does Sumter rank for drought - cities and fuas — land soil moisture anomaly?
Sumter ranks 1156th out of 1323 regions with data for 2025.
Is drought - cities and fuas — land soil moisture anomaly rising or falling in Sumter?
Over the last ten years it is down 385.3%. The long-run trend across the full record is volatile.
Where does this Sumter 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 Sumter. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 17 August 2026, from https://environment.statizoid.com/stat/drought-cities-and-fuas-land-soil-moisture-anomaly/sumter/

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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

<p align="justify">This dataset provides regional statistics on estimate of soil moisture anomaly, in Functional Urban Areas (FUAs) and Cities.</p> <h3>Data sources and methodology</h3> <p align="justify">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.</p> <p align="justify"> 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. </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The correspondence table between SAUs and FUAs/cities is available in <a href=https://webfs-cfe.oecd.org/files/.Stat/cities_local_areas/fua_cities_sau_mapping.parquet>parquet </a> and <a href=https://webfs-cfe.oecd.org/files/.Stat/cities_local_areas/fua_cities_sau_mapping.csv>csv</a> format. The definition identifies 1 272 FUAs and 1 269 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href=http://data-explorer.oecd.org/s/1vc>Drought - Cities and FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a>