Drought - Cities and FUAs — Land soil moisture anomaly in San Luis Potosi

San Luis Potosi: Drought - Cities and FUAs — Land soil moisture anomaly was -2.8 Percentage change in 2025. ◆ Volatile

Latest (2025)
-2.8 Percentage change
Change on year
unchanged
Rank
652nd
of 1315 regions
All-time high
31.2 Percentage change
in 1992
All-time low
-31.9 Percentage change
in 1960
Years of data
76
1950–2025

Drought - Cities and FUAs — Land soil moisture anomaly in San Luis Potosi, 1950–2025

-40-2002040195019872025

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

Analysis

In 2025, drought - cities and fuas — land soil moisture anomaly in San Luis Potosi stood at -2.8 Percentage change.

The figure is down 123.7% over ten years.

Over the whole period, drought - cities and fuas — land soil moisture anomaly in San Luis Potosi peaked at 31.2 Percentage change in 1992 and was at its lowest, -31.9 Percentage change, in 1960.

San Luis Potosi ranks 652nd of 1315 regions on this measure, 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 San Luis Potosi, year by year

Annual values for Drought - Cities and FUAs — Land soil moisture anomaly in San Luis Potosi, 1950 to 2025.
Year Percentage change Change
1950 -21.8 Percentage change
1951 -20.8 Percentage change -4.6%
1952 -30.1 Percentage change +44.7%
1953 -17 Percentage change -43.5%
1954 -21.5 Percentage change +26.5%
1955 -9.7 Percentage change -54.9%
1956 -18.7 Percentage change +92.8%
1957 -13.6 Percentage change -27.3%
1958 3.3 Percentage change -124.3%
1959 1.4 Percentage change -57.6%
1960 -31.9 Percentage change -2378.6%
1961 -29.9 Percentage change -6.3%
1962 -29.9 Percentage change -0.0%
1963 -2 Percentage change -93.3%
1964 -14.8 Percentage change +640.0%
1965 -12.8 Percentage change -13.5%
1966 -14.1 Percentage change +10.2%
1967 -7.6 Percentage change -46.1%
1968 -18.3 Percentage change +140.8%
1969 -11.8 Percentage change -35.5%
1970 -12.2 Percentage change +3.4%
1971 3.5 Percentage change -128.7%
1972 -3.6 Percentage change -202.9%
1973 -5.8 Percentage change +61.1%
1974 -6.7 Percentage change +15.5%
1975 -8.4 Percentage change +25.4%
1976 -3.9 Percentage change -53.6%
1977 -0.2 Percentage change -94.9%
1978 6.9 Percentage change -3550.0%
1979 -17.5 Percentage change -353.6%
1980 -12.3 Percentage change -29.7%
1981 21.3 Percentage change -273.2%
1982 -2.3 Percentage change -110.8%
1983 -11.3 Percentage change +391.3%
1984 1.3 Percentage change -111.5%
1985 17.3 Percentage change +1230.8%
1986 1.8 Percentage change -89.6%
1987 14.3 Percentage change +694.4%
1988 -6.4 Percentage change -144.8%
1989 -10.2 Percentage change +59.4%
1990 -17.7 Percentage change +73.5%
1991 -1.4 Percentage change -92.1%
1992 31.2 Percentage change -2328.6%
1993 6.1 Percentage change -80.4%
1994 -5.6 Percentage change -191.8%
1995 -11.5 Percentage change +105.4%
1996 14.7 Percentage change -227.8%
1997 -13.2 Percentage change -189.8%
1998 -2.2 Percentage change -83.3%
1999 -21.2 Percentage change +863.6%
2000 -23.7 Percentage change +11.8%
2001 8.5 Percentage change -135.9%
2002 -14.3 Percentage change -268.2%
2003 -2.7 Percentage change -81.1%
2004 11.9 Percentage change -540.7%
2005 -4.5 Percentage change -137.8%
2006 -0.3 Percentage change -93.3%
2007 19.4 Percentage change -6566.7%
2008 -4.2 Percentage change -121.6%
2009 13.5 Percentage change -421.4%
2010 -8.8 Percentage change -165.2%
2011 -12.6 Percentage change +43.2%
2012 -10.6 Percentage change -15.9%
2013 -8.6 Percentage change -18.9%
2014 17.6 Percentage change -304.7%
2015 11.8 Percentage change -33.0%
2016 1.3 Percentage change -89.0%
2017 -3.1 Percentage change -338.5%
2018 16 Percentage change -616.1%
2019 -3.7 Percentage change -123.1%
2020 -1.8 Percentage change -51.4%
2021 16.6 Percentage change -1022.2%
2022 -25.8 Percentage change -255.4%
2023 -27.9 Percentage change +8.1%
2024 -2.8 Percentage change -90.0%
2025 -2.8 Percentage change -0.0%

Averages by decade

DecadeAverage LowestHighest Years
1950s -14.85 Percentage change -30.1 Percentage change 3.3 Percentage change 10
1960s -17.31 Percentage change -31.9 Percentage change -2 Percentage change 10
1970s -4.79 Percentage change -17.5 Percentage change 6.9 Percentage change 10
1980s 1.35 Percentage change -12.3 Percentage change 21.3 Percentage change 10
1990s -2.08 Percentage change -21.2 Percentage change 31.2 Percentage change 10
2000s 0.36 Percentage change -23.7 Percentage change 19.4 Percentage change 10
2010s -0.07 Percentage change -12.6 Percentage change 17.6 Percentage change 10
2020s -7.42 Percentage change -27.9 Percentage change 16.6 Percentage change 6

More environment data for San Luis Potosi

All data for San Luis Potosi →

Frequently asked questions

What is drought - cities and fuas — land soil moisture anomaly in San Luis Potosi?
Drought - cities and fuas — land soil moisture anomaly in San Luis Potosi was -2.8 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 San Luis Potosi?
The highest recorded value was 31.2 Percentage change in 1992.
What is the lowest drought - cities and fuas — land soil moisture anomaly recorded in San Luis Potosi?
The lowest recorded value was -31.9 Percentage change in 1960.
How does San Luis Potosi rank for drought - cities and fuas — land soil moisture anomaly?
San Luis Potosi ranks 652nd out of 1315 regions with data for 2025.
Is drought - cities and fuas — land soil moisture anomaly rising or falling in San Luis Potosi?
Over the last ten years it is down 123.7%. The long-run trend across the full record is volatile.
Where does this San Luis Potosi 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 San Luis Potosi. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 25 August 2026, from https://environment.statizoid.com/stat/drought-cities-and-fuas-land-soil-moisture-anomaly/san-luis-potosi/

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/san-luis-potosi/">Drought - Cities and FUAs — Land soil moisture anomaly in San Luis Potosi</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