Drought - Cities and FUAs — Land soil moisture anomaly in Zapotlan el Grande
Zapotlan el Grande: Drought - Cities and FUAs — Land soil moisture anomaly was -3.3 Percentage change in 2025. ◆ Volatile
Drought - Cities and FUAs — Land soil moisture anomaly in Zapotlan el Grande, 1950–2025
Source: Organisation for Economic Co-operation and Development. Measured in Percentage change.
Analysis
In 2025, drought - cities and fuas — land soil moisture anomaly in Zapotlan el Grande stood at -3.3 Percentage change.
That represents a change of up 31.2% on the previous year and down 122.3% over ten years.
Over the whole period, drought - cities and fuas — land soil moisture anomaly in Zapotlan el Grande peaked at 14.8 Percentage change in 2015 and was at its lowest, -12.7 Percentage change, in 1952.
Zapotlan el Grande ranks 700th 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 Zapotlan el Grande, year by year
| Year | Percentage change | Change |
|---|---|---|
| 1950 | -7.7 Percentage change | — |
| 1951 | 2.8 Percentage change | -136.4% |
| 1952 | -12.7 Percentage change | -553.6% |
| 1953 | -1.3 Percentage change | -89.8% |
| 1954 | -0.2 Percentage change | -84.6% |
| 1955 | -5.6 Percentage change | +2700.0% |
| 1956 | -2.6 Percentage change | -53.6% |
| 1957 | -4.7 Percentage change | +80.8% |
| 1958 | 11.1 Percentage change | -336.2% |
| 1959 | 12 Percentage change | +8.1% |
| 1960 | -5.9 Percentage change | -149.2% |
| 1961 | 3.5 Percentage change | -159.3% |
| 1962 | -5.3 Percentage change | -251.4% |
| 1963 | 6.7 Percentage change | -226.4% |
| 1964 | 1 Percentage change | -85.1% |
| 1965 | 0.4 Percentage change | -60.0% |
| 1966 | 2.2 Percentage change | +450.0% |
| 1967 | 4.1 Percentage change | +86.4% |
| 1968 | 2.1 Percentage change | -48.8% |
| 1969 | -3.5 Percentage change | -266.7% |
| 1970 | -8.8 Percentage change | +151.4% |
| 1971 | -3.2 Percentage change | -63.6% |
| 1972 | -2.5 Percentage change | -21.9% |
| 1973 | 3.5 Percentage change | -240.0% |
| 1974 | 6 Percentage change | +71.4% |
| 1975 | 3.7 Percentage change | -38.3% |
| 1976 | -4.4 Percentage change | -218.9% |
| 1977 | 10.1 Percentage change | -329.5% |
| 1978 | 7.8 Percentage change | -22.8% |
| 1979 | -11.3 Percentage change | -244.9% |
| 1980 | 8.6 Percentage change | -176.1% |
| 1981 | 11.3 Percentage change | +31.4% |
| 1982 | 4.1 Percentage change | -63.7% |
| 1983 | 11 Percentage change | +168.3% |
| 1984 | 2.3 Percentage change | -79.1% |
| 1985 | 0.1 Percentage change | -95.7% |
| 1986 | 4.4 Percentage change | +4300.0% |
| 1987 | -4.2 Percentage change | -195.5% |
| 1988 | -7.1 Percentage change | +69.0% |
| 1989 | -3.9 Percentage change | -45.1% |
| 1990 | 8 Percentage change | -305.1% |
| 1991 | -6.8 Percentage change | -185.0% |
| 1992 | 13.6 Percentage change | -300.0% |
| 1993 | 4.2 Percentage change | -69.1% |
| 1994 | -6.4 Percentage change | -252.4% |
| 1995 | -4.2 Percentage change | -34.4% |
| 1996 | 3.2 Percentage change | -176.2% |
| 1997 | 5.1 Percentage change | +59.4% |
| 1998 | -0.8 Percentage change | -115.7% |
| 1999 | -9.4 Percentage change | +1075.0% |
| 2000 | -3 Percentage change | -68.1% |
| 2001 | 0.1 Percentage change | -103.3% |
| 2002 | 3.1 Percentage change | +3000.0% |
| 2003 | -5.2 Percentage change | -267.7% |
| 2004 | 8 Percentage change | -253.8% |
| 2005 | -5.1 Percentage change | -163.8% |
| 2006 | -2.5 Percentage change | -51.0% |
| 2007 | -0.6 Percentage change | -76.0% |
| 2008 | -7 Percentage change | +1066.7% |
| 2009 | -7.3 Percentage change | +4.3% |
| 2010 | -5.1 Percentage change | -30.1% |
| 2011 | -11 Percentage change | +115.7% |
| 2012 | 4.2 Percentage change | -138.2% |
| 2013 | 2.8 Percentage change | -33.3% |
| 2014 | 13.3 Percentage change | +375.0% |
| 2015 | 14.8 Percentage change | +11.3% |
| 2016 | 4 Percentage change | -73.0% |
| 2017 | -3.6 Percentage change | -190.0% |
| 2018 | 9.5 Percentage change | -363.9% |
| 2019 | 2.6 Percentage change | -72.6% |
| 2020 | -2.1 Percentage change | -180.8% |
| 2021 | -5 Percentage change | +138.1% |
| 2022 | -7.9 Percentage change | +58.0% |
| 2023 | -3 Percentage change | -62.0% |
| 2024 | -4.8 Percentage change | +60.0% |
| 2025 | -3.3 Percentage change | -31.2% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1950s | -0.89 Percentage change | -12.7 Percentage change | 12 Percentage change | 10 |
| 1960s | 0.53 Percentage change | -5.9 Percentage change | 6.7 Percentage change | 10 |
| 1970s | 0.09 Percentage change | -11.3 Percentage change | 10.1 Percentage change | 10 |
| 1980s | 2.66 Percentage change | -7.1 Percentage change | 11.3 Percentage change | 10 |
| 1990s | 0.65 Percentage change | -9.4 Percentage change | 13.6 Percentage change | 10 |
| 2000s | -1.95 Percentage change | -7.3 Percentage change | 8 Percentage change | 10 |
| 2010s | 3.15 Percentage change | -11 Percentage change | 14.8 Percentage change | 10 |
| 2020s | -4.35 Percentage change | -7.9 Percentage change | -2.1 Percentage change | 6 |
More environment data for Zapotlan el Grande
- Greenhouse gas emissions - Cities and FUAs — GHG emissions from waste 0 Tonnes of CO2-equivalent (2024)
- Land surface temperature - Cities and FUAs — Daytime summer land 32.9 Degrees celsius (2024)
- Land surface temperature - Cities and FUAs — Daytime winter land 26.61 Degrees celsius (2024)
- Land surface temperature - Cities and FUAs — Daytime yearly land 30.88 Degrees celsius (2024)
- Land surface temperature - Cities and FUAs — Nighttime summer land 15.03 Degrees celsius (2024)
- Land surface temperature - Cities and FUAs — Nighttime winter land 9.75 Degrees celsius (2024)
- Land surface temperature - Cities and FUAs — Nighttime yearly land 12.23 Degrees celsius (2024)
- Air pollution - Cities and FUAs — Population exposure to nitrogen 9.99 Microgrammes per cubic metre (2025)
- Air pollution - Cities and FUAs — Population exposure to ozone 83.51 Microgrammes per cubic metre (2025)
- Air pollution - Cities and FUAs — Population exposure to PM10 76.25 Microgrammes per cubic metre (2025)
Frequently asked questions
- What is drought - cities and fuas — land soil moisture anomaly in Zapotlan el Grande?
- Drought - cities and fuas — land soil moisture anomaly in Zapotlan el Grande was -3.3 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 Zapotlan el Grande?
- The highest recorded value was 14.8 Percentage change in 2015.
- What is the lowest drought - cities and fuas — land soil moisture anomaly recorded in Zapotlan el Grande?
- The lowest recorded value was -12.7 Percentage change in 1952.
- How does Zapotlan el Grande rank for drought - cities and fuas — land soil moisture anomaly?
- Zapotlan el Grande ranks 700th out of 1315 regions with data for 2025.
- Is drought - cities and fuas — land soil moisture anomaly rising or falling in Zapotlan el Grande?
- Over the last ten years it is down 122.3%. The long-run trend across the full record is volatile.
- Where does this Zapotlan el Grande 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).
About this data
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