Historical exposure to drought — Land soil moisture anomaly in Rio Grande do Sul
Rio Grande do Sul: Historical exposure to drought — Land soil moisture anomaly was -4.96 Percentage change in 2025. ◆ Volatile
Historical exposure to drought — Land soil moisture anomaly in Rio Grande do Sul, 1950–2025
Source: Organisation for Economic Co-operation and Development. Measured in Percentage change.
Analysis
The most recent figure for historical exposure to drought — land soil moisture anomaly in Rio Grande do Sul is -4.96 Percentage change, measured in 2025.
Compared with earlier readings it is down 87.5% on the previous year and down 523.4% over ten years.
Over the whole period, historical exposure to drought — land soil moisture anomaly in Rio Grande do Sul peaked at 6.47 Percentage change in 2001 and was at its lowest, -9.25 Percentage change, in 2020.
Rio Grande do Sul ranks 39th of 72 groups 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.
Historical exposure to drought — Land soil moisture anomaly in Rio Grande do Sul, year by year
| Year | Percentage change | Change |
|---|---|---|
| 1950 | -8.86 Percentage change | — |
| 1951 | -4.83 Percentage change | -45.5% |
| 1952 | -4.02 Percentage change | -16.8% |
| 1953 | -1.59 Percentage change | -60.5% |
| 1954 | -6.63 Percentage change | +317.5% |
| 1955 | 0.1718 Percentage change | -102.6% |
| 1956 | -3.8 Percentage change | -2311.7% |
| 1957 | -3.44 Percentage change | -9.4% |
| 1958 | -1.88 Percentage change | -45.5% |
| 1959 | 2.38 Percentage change | -226.6% |
| 1960 | -5.62 Percentage change | -336.2% |
| 1961 | -3.17 Percentage change | -43.6% |
| 1962 | -8.77 Percentage change | +176.8% |
| 1963 | -1.45 Percentage change | -83.4% |
| 1964 | -3.4 Percentage change | +133.5% |
| 1965 | -2.45 Percentage change | -28.0% |
| 1966 | 4.09 Percentage change | -267.2% |
| 1967 | -1.05 Percentage change | -125.6% |
| 1968 | -5.56 Percentage change | +431.8% |
| 1969 | 4.38 Percentage change | -178.8% |
| 1970 | -3.79 Percentage change | -186.4% |
| 1971 | -3.53 Percentage change | -6.7% |
| 1972 | -1.22 Percentage change | -65.5% |
| 1973 | 1.2 Percentage change | -198.1% |
| 1974 | 1.97 Percentage change | +65.0% |
| 1975 | 3.08 Percentage change | +55.9% |
| 1976 | -3.22 Percentage change | -204.5% |
| 1977 | 0.4204 Percentage change | -113.1% |
| 1978 | -0.9223 Percentage change | -319.4% |
| 1979 | -3.34 Percentage change | +262.3% |
| 1980 | 4.62 Percentage change | -238.3% |
| 1981 | -1.93 Percentage change | -141.8% |
| 1982 | -4.25 Percentage change | +119.8% |
| 1983 | 2.92 Percentage change | -168.7% |
| 1984 | 2.73 Percentage change | -6.5% |
| 1985 | -1.32 Percentage change | -148.5% |
| 1986 | 3.24 Percentage change | -344.8% |
| 1987 | -2.18 Percentage change | -167.2% |
| 1988 | 0.276 Percentage change | -112.7% |
| 1989 | -1.73 Percentage change | -726.8% |
| 1990 | 2.5 Percentage change | -244.5% |
| 1991 | -2.81 Percentage change | -212.2% |
| 1992 | 5.14 Percentage change | -283.3% |
| 1993 | 3.46 Percentage change | -32.8% |
| 1994 | 4.74 Percentage change | +37.0% |
| 1995 | -0.0687 Percentage change | -101.5% |
| 1996 | 1.05 Percentage change | -1631.9% |
| 1997 | -2.94 Percentage change | -378.9% |
| 1998 | 3.81 Percentage change | -229.8% |
| 1999 | -5.39 Percentage change | -241.4% |
| 2000 | 2.67 Percentage change | -149.6% |
| 2001 | 6.47 Percentage change | +142.3% |
| 2002 | 6.34 Percentage change | -2.1% |
| 2003 | -0.7293 Percentage change | -111.5% |
| 2004 | -5.84 Percentage change | +701.3% |
| 2005 | -5.81 Percentage change | -0.7% |
| 2006 | -3.27 Percentage change | -43.6% |
| 2007 | -0.8858 Percentage change | -72.9% |
| 2008 | 2.91 Percentage change | -428.9% |
| 2009 | -6.87 Percentage change | -335.7% |
| 2010 | -2.24 Percentage change | -67.3% |
| 2011 | -1.56 Percentage change | -30.7% |
| 2012 | -6.23 Percentage change | +300.4% |
| 2013 | -3.64 Percentage change | -41.5% |
| 2014 | 6.36 Percentage change | -274.5% |
| 2015 | 1.17 Percentage change | -81.6% |
| 2016 | -1.13 Percentage change | -196.4% |
| 2017 | -3.36 Percentage change | +198.0% |
| 2018 | 1.97 Percentage change | -158.6% |
| 2019 | -1.17 Percentage change | -159.5% |
| 2020 | -9.25 Percentage change | +689.1% |
| 2021 | -5.5 Percentage change | -40.6% |
| 2022 | -4.84 Percentage change | -11.8% |
| 2023 | -8.57 Percentage change | +76.9% |
| 2024 | -2.64 Percentage change | -69.1% |
| 2025 | -4.96 Percentage change | +87.5% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1950s | -3.25 Percentage change | -8.86 Percentage change | 2.38 Percentage change | 10 |
| 1960s | -2.3 Percentage change | -8.77 Percentage change | 4.38 Percentage change | 10 |
| 1970s | -0.9348 Percentage change | -3.79 Percentage change | 3.08 Percentage change | 10 |
| 1980s | 0.2372 Percentage change | -4.25 Percentage change | 4.62 Percentage change | 10 |
| 1990s | 0.9504 Percentage change | -5.39 Percentage change | 5.14 Percentage change | 10 |
| 2000s | -0.501 Percentage change | -6.87 Percentage change | 6.47 Percentage change | 10 |
| 2010s | -0.9836 Percentage change | -6.23 Percentage change | 6.36 Percentage change | 10 |
| 2020s | -5.96 Percentage change | -9.25 Percentage change | -2.64 Percentage change | 6 |
Countries ranked near Rio Grande do Sul
- 36 French Southern and Antarctic Lands 1.44 Percentage change compare
- 37 Thailand 1.44 Percentage change compare
- 38 Suriname 1.4 Percentage change compare
- 39 Indonesia 1.36 Percentage change compare
- 40 Sweden 1.1 Percentage change compare
- 41 Norway 0.9857 Percentage change compare
- 42 Liechtenstein 0.7508 Percentage change compare
More environment data for Rio Grande do Sul
- Historical exposure to drought — Cropland soil moisture anomaly -5.31 Percentage change (2025)
- Exposure to drought — Cropland soil moisture anomaly -1.91 Percentage change (2024)
- Exposure to drought — Land soil moisture anomaly 0.8129 Percentage change (2024)
- River flooding exposure — Cropland share exposed to river flooding 3.43 Percentage of agricultural land area (2022)
- Land cover and land cover change — Grassland 57,849 Square kilometres (2022)
- Land cover and land cover change — Loss of cropland 9,695 Square kilometres (2022)
- Land cover and land cover change — Gain of artificial surfaces 840.33 Square kilometres (2022)
Frequently asked questions
- What is historical exposure to drought — land soil moisture anomaly in Rio Grande do Sul?
- Historical exposure to drought — land soil moisture anomaly in Rio Grande do Sul was -4.96 Percentage change in 2025, according to Organisation for Economic Co-operation and Development.
- What is the highest historical exposure to drought — land soil moisture anomaly recorded in Rio Grande do Sul?
- The highest recorded value was 6.47 Percentage change in 2001.
- What is the lowest historical exposure to drought — land soil moisture anomaly recorded in Rio Grande do Sul?
- The lowest recorded value was -9.25 Percentage change in 2020.
- How does Rio Grande do Sul rank for historical exposure to drought — land soil moisture anomaly?
- Rio Grande do Sul ranks 39th out of 72 groups with data for 2025.
- Is historical exposure to drought — land soil moisture anomaly rising or falling in Rio Grande do Sul?
- Over the last ten years it is down 523.4%. The long-run trend across the full record is volatile.
- Where does this Rio Grande do Sul data come from?
- The figures come from Organisation for Economic Co-operation and Development, published as part of Historical exposure to drought — Land soil moisture anomaly. Statizoid updates them automatically from the source API.
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About this data
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