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

Mexicali: Drought - Cities and FUAs — Land soil moisture anomaly was -16.4 Percentage change in 2025. ◆ Volatile

Latest (2025)
-16.4 Percentage change
Change on year
down 530.8%
Rank
1277th
of 1315 regions
All-time high
47.6 Percentage change
in 1978
All-time low
-34.3 Percentage change
in 1956
Years of data
76
1950–2025

Drought - Cities and FUAs — Land soil moisture anomaly in Mexicali, 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 Mexicali stood at -16.4 Percentage change.

That represents a change of down 530.8% on the previous year and down 300.0% over ten years.

Over the whole period, drought - cities and fuas — land soil moisture anomaly in Mexicali peaked at 47.6 Percentage change in 1978 and was at its lowest, -34.3 Percentage change, in 1956.

That places Mexicali 1277th 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 Mexicali, year by year

Annual values for Drought - Cities and FUAs — Land soil moisture anomaly in Mexicali, 1950 to 2025.
Year Percentage change Change
1950 -25.5 Percentage change —
1951 -9.2 Percentage change -63.9%
1952 8.9 Percentage change -196.7%
1953 -24.7 Percentage change -377.5%
1954 -24.1 Percentage change -2.4%
1955 -17 Percentage change -29.5%
1956 -34.3 Percentage change +101.8%
1957 5.8 Percentage change -116.9%
1958 -12.3 Percentage change -312.1%
1959 -18.9 Percentage change +53.7%
1960 0 Percentage change -100.0%
1961 -11.1 Percentage change —
1962 0.1 Percentage change -100.9%
1963 -3.1 Percentage change -3200.0%
1964 -15.3 Percentage change +393.5%
1965 -16.5 Percentage change +7.8%
1966 3.3 Percentage change -120.0%
1967 1.6 Percentage change -51.5%
1968 -11.5 Percentage change -818.8%
1969 -18.7 Percentage change +62.6%
1970 -21.9 Percentage change +17.1%
1971 -9.4 Percentage change -57.1%
1972 -8.3 Percentage change -11.7%
1973 -17.4 Percentage change +109.6%
1974 -24.4 Percentage change +40.2%
1975 -11.7 Percentage change -52.0%
1976 -19.1 Percentage change +63.2%
1977 -2.7 Percentage change -85.9%
1978 47.6 Percentage change -1863.0%
1979 33.2 Percentage change -30.3%
1980 6.2 Percentage change -81.3%
1981 -14.1 Percentage change -327.4%
1982 -7.6 Percentage change -46.1%
1983 12.7 Percentage change -267.1%
1984 15.4 Percentage change +21.3%
1985 26.2 Percentage change +70.1%
1986 -6.3 Percentage change -124.0%
1987 22.4 Percentage change -455.6%
1988 4.2 Percentage change -81.2%
1989 -22.4 Percentage change -633.3%
1990 -17.7 Percentage change -21.0%
1991 17.6 Percentage change -199.4%
1992 -0.5 Percentage change -102.8%
1993 35.9 Percentage change -7280.0%
1994 -16.1 Percentage change -144.8%
1995 18.3 Percentage change -213.7%
1996 -21.8 Percentage change -219.1%
1997 0.6 Percentage change -102.8%
1998 -2.7 Percentage change -550.0%
1999 -19.1 Percentage change +607.4%
2000 -18.2 Percentage change -4.7%
2001 7.4 Percentage change -140.7%
2002 -11.5 Percentage change -255.4%
2003 -3.5 Percentage change -69.6%
2004 -1.2 Percentage change -65.7%
2005 3.7 Percentage change -408.3%
2006 -23 Percentage change -721.6%
2007 8.6 Percentage change -137.4%
2008 19.1 Percentage change +122.1%
2009 -11.1 Percentage change -158.1%
2010 4.6 Percentage change -141.4%
2011 -12.7 Percentage change -376.1%
2012 -14.1 Percentage change +11.0%
2013 26.7 Percentage change -289.4%
2014 -19.8 Percentage change -174.2%
2015 8.2 Percentage change -141.4%
2016 -17.2 Percentage change -309.8%
2017 7.4 Percentage change -143.0%
2018 -20.4 Percentage change -375.7%
2019 11 Percentage change -153.9%
2020 -6.8 Percentage change -161.8%
2021 4.4 Percentage change -164.7%
2022 -2.3 Percentage change -152.3%
2023 4.8 Percentage change -308.7%
2024 -2.6 Percentage change -154.2%
2025 -16.4 Percentage change +530.8%

Biggest year-on-year movements

Years where Drought - Cities and FUAs — Land soil moisture anomaly in Mexicali 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
1993 +7280.0% -0.5 Percentage change 35.9 Percentage change
1963 -3200.0% 0.1 Percentage change -3.1 Percentage change
1978 +1863.0% -2.7 Percentage change 47.6 Percentage change

Averages by decade

DecadeAverage LowestHighest Years
1950s -15.13 Percentage change -34.3 Percentage change 8.9 Percentage change 10
1960s -7.12 Percentage change -18.7 Percentage change 3.3 Percentage change 10
1970s -3.41 Percentage change -24.4 Percentage change 47.6 Percentage change 10
1980s 3.67 Percentage change -22.4 Percentage change 26.2 Percentage change 10
1990s -0.55 Percentage change -21.8 Percentage change 35.9 Percentage change 10
2000s -2.97 Percentage change -23 Percentage change 19.1 Percentage change 10
2010s -2.63 Percentage change -20.4 Percentage change 26.7 Percentage change 10
2020s -3.15 Percentage change -16.4 Percentage change 4.8 Percentage change 6

More environment data for Mexicali

All data for Mexicali →

Frequently asked questions

What is drought - cities and fuas — land soil moisture anomaly in Mexicali?
Drought - cities and fuas — land soil moisture anomaly in Mexicali was -16.4 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 Mexicali?
The highest recorded value was 47.6 Percentage change in 1978.
What is the lowest drought - cities and fuas — land soil moisture anomaly recorded in Mexicali?
The lowest recorded value was -34.3 Percentage change in 1956.
How does Mexicali rank for drought - cities and fuas — land soil moisture anomaly?
Mexicali ranks 1277th out of 1315 regions with data for 2025.
Is drought - cities and fuas — land soil moisture anomaly rising or falling in Mexicali?
Over the last ten years it is down 300.0%. The long-run trend across the full record is volatile.
Where does this Mexicali 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 Mexicali. 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/mexicali/

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/mexicali/">Drought - Cities and FUAs — Land soil moisture anomaly in Mexicali</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