Guam vs Mato Grosso: Historical exposure to drought — Land soil moisture anomaly

Guam
0.5909 Percentage change
in 2025
Mato Grosso
-6.46 Percentage change
in 2025
Guam rank
45th
Mato Grosso rank
43rd

Historical exposure to drought — Land soil moisture anomaly over time

  • Guam
  • Mato Grosso
-20-1001020195019872025

How they compare

Guam currently reports 0.5909 Percentage change against -6.46 Percentage change in Mato Grosso, a difference of 7.05 Percentage change.

The two have swapped places 23 times across 76 shared years of data; in 1950 it was Mato Grosso ahead.

Guam ranks 45th and Mato Grosso ranks 43rd of 191 countries.

Across the 8 decades both report, Guam averaged higher in 5 and Mato Grosso in 3.

Head to head by decade

Decade Guam Mato Grosso Difference Ahead
1950s -0.9702 Percentage change -1.75 Percentage change 0.7761 Percentage change Guam
1960s 6.66 Percentage change -3.24 Percentage change 9.9 Percentage change Guam
1970s -1.12 Percentage change 0.7835 Percentage change 1.9 Percentage change Mato Grosso
1980s 0.1272 Percentage change 1.65 Percentage change 1.52 Percentage change Mato Grosso
1990s -2.66 Percentage change 0.9942 Percentage change 3.65 Percentage change Mato Grosso
2000s 3.59 Percentage change -2.24 Percentage change 5.82 Percentage change Guam
2010s 3.59 Percentage change -3.08 Percentage change 6.67 Percentage change Guam
2020s 2.34 Percentage change -8.89 Percentage change 11.23 Percentage change Guam

Averages of every year both report within each decade.

Frequently asked questions

Which has higher historical exposure to drought — land soil moisture anomaly, Guam or Mato Grosso?
Guam, at 0.5909 Percentage change against -6.46 Percentage change in Mato Grosso as of 2025.
What is the difference in historical exposure to drought — land soil moisture anomaly between Guam and Mato Grosso?
7.05 Percentage change, with Guam ahead.
How many years of comparable data are there for Guam and Mato Grosso?
76 years are reported by both, from 1950 to 2025.
How do Guam and Mato Grosso rank globally for historical exposure to drought — land soil moisture anomaly?
Guam ranks 45th and Mato Grosso ranks 43rd of 191 countries.
Where does this data come from?
Organisation for Economic Co-operation and Development, published as Historical exposure to drought — Land soil moisture anomaly. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Guam vs Mato Grosso: Historical exposure to drought — Land soil moisture anomaly. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 26 August 2026, from https://environment.statizoid.com/compare/historical-exposure-to-drought-land-soil-moisture-anomaly/guam/mato-grosso/

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About this data

Indicator
Historical exposure to drought — Land soil moisture anomaly
Unit
Percentage change
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
3,375 places, 256,500 data points, 1950–2025
Last refreshed

The dataset provides annual anomalies in land and cropland soil moisture content of the top soil layer (0 to 7 cm) compared to the reference period 1981-2010. Exposure indicators to drought have been prepared by the Organisation for Economic Co-operation and Development (OECD). Please see the working paper for a more complete description of the methods. The datasets span the period 1981-2024 and is the result of the use of a variety of geospatial data sources, including the ERA5-Land averaged monthly data of volumetric soil moisture and ESA CCI land cover data. Average anomalies have been calculated for both land and cropland exposure to drought. The dataset has a global coverage on a national level; on the sub-national TL2 level (i.e. large subnational regions) results are reported for all OECD countries as well as for Argentina, Brazil, China, India, Indonesia and South Africa. A number of aggregates are included: Euro area, European Union, Advanced economies, Emerging market economies, G7, G20, OECD, OECD Europe, OECD Asia Oceania, OECD Americas and the LAC region. Data source(s): Copernicus Climate Change Initiative land cover data and Copernicus Climate Data Store monthly soil moisture data based on the ERA5-Land reanalysis dataset. Contact: ENV.Stat@oecd.org