Historical exposure to drought — Land soil moisture anomaly in São Paulo
São Paulo: Historical exposure to drought — Land soil moisture anomaly was -10.97 Percentage change in 2025. ◆ Volatile
Historical exposure to drought — Land soil moisture anomaly in São Paulo, 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 São Paulo is -10.97 Percentage change, measured in 2025.
Compared with earlier readings it is up 41.7% on the previous year and down 355.0% over ten years.
Over the whole period, historical exposure to drought — land soil moisture anomaly in São Paulo peaked at 9.79 Percentage change in 1957 and was at its lowest, -18.81 Percentage change, in 2024.
São Paulo ranks 62nd of 72 groups on this measure, in the bottom quarter.
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 São Paulo, year by year
| Year | Percentage change | Change |
|---|---|---|
| 1950 | 0.0788 Percentage change | — |
| 1951 | -0.6663 Percentage change | -946.1% |
| 1952 | 1.21 Percentage change | -281.9% |
| 1953 | 9.14 Percentage change | +653.9% |
| 1954 | -0.9015 Percentage change | -109.9% |
| 1955 | -9.32 Percentage change | +933.7% |
| 1956 | 8.63 Percentage change | -192.6% |
| 1957 | 9.79 Percentage change | +13.4% |
| 1958 | 0.6576 Percentage change | -93.3% |
| 1959 | -13.29 Percentage change | -2120.9% |
| 1960 | -14.03 Percentage change | +5.6% |
| 1961 | -16.1 Percentage change | +14.7% |
| 1962 | 5.65 Percentage change | -135.1% |
| 1963 | -12.67 Percentage change | -324.1% |
| 1964 | 4.5 Percentage change | -135.5% |
| 1965 | 2.68 Percentage change | -40.4% |
| 1966 | -0.3709 Percentage change | -113.8% |
| 1967 | -9.98 Percentage change | +2590.7% |
| 1968 | -10.67 Percentage change | +6.9% |
| 1969 | -13.18 Percentage change | +23.5% |
| 1970 | -4.98 Percentage change | -62.2% |
| 1971 | -7.75 Percentage change | +55.6% |
| 1972 | -0.0227 Percentage change | -99.7% |
| 1973 | 0.8503 Percentage change | -3841.3% |
| 1974 | -6.9 Percentage change | -911.5% |
| 1975 | -2.71 Percentage change | -60.7% |
| 1976 | 8.76 Percentage change | -422.9% |
| 1977 | -5.71 Percentage change | -165.2% |
| 1978 | -7.62 Percentage change | +33.4% |
| 1979 | 0.1741 Percentage change | -102.3% |
| 1980 | 5.11 Percentage change | +2834.0% |
| 1981 | -1.9 Percentage change | -137.3% |
| 1982 | 7.99 Percentage change | -519.6% |
| 1983 | 6.69 Percentage change | -16.3% |
| 1984 | -2.48 Percentage change | -137.1% |
| 1985 | -3.49 Percentage change | +40.9% |
| 1986 | 1.86 Percentage change | -153.3% |
| 1987 | -2.3 Percentage change | -223.5% |
| 1988 | -1.19 Percentage change | -48.1% |
| 1989 | 5.25 Percentage change | -539.5% |
| 1990 | 3.62 Percentage change | -31.1% |
| 1991 | 0.5236 Percentage change | -85.5% |
| 1992 | 8.64 Percentage change | +1549.7% |
| 1993 | 2.71 Percentage change | -68.6% |
| 1994 | 2.08 Percentage change | -23.4% |
| 1995 | -0.3554 Percentage change | -117.1% |
| 1996 | -1.24 Percentage change | +249.2% |
| 1997 | 5.24 Percentage change | -521.9% |
| 1998 | 6.63 Percentage change | +26.6% |
| 1999 | -8.94 Percentage change | -234.8% |
| 2000 | 1.64 Percentage change | -118.3% |
| 2001 | 1.82 Percentage change | +11.3% |
| 2002 | -5.41 Percentage change | -396.7% |
| 2003 | -12.5 Percentage change | +131.0% |
| 2004 | -2.21 Percentage change | -82.3% |
| 2005 | -0.1814 Percentage change | -91.8% |
| 2006 | -5.21 Percentage change | +2773.6% |
| 2007 | -7.33 Percentage change | +40.7% |
| 2008 | -4.55 Percentage change | -37.9% |
| 2009 | 5.64 Percentage change | -223.9% |
| 2010 | -1.03 Percentage change | -118.3% |
| 2011 | -4.02 Percentage change | +289.3% |
| 2012 | -2.69 Percentage change | -33.0% |
| 2013 | 2.59 Percentage change | -196.2% |
| 2014 | -7.74 Percentage change | -399.1% |
| 2015 | 4.3 Percentage change | -155.6% |
| 2016 | -0.3415 Percentage change | -107.9% |
| 2017 | -2.78 Percentage change | +713.1% |
| 2018 | -7.72 Percentage change | +177.9% |
| 2019 | -14.56 Percentage change | +88.8% |
| 2020 | -16.81 Percentage change | +15.4% |
| 2021 | -10.54 Percentage change | -37.3% |
| 2022 | -7.31 Percentage change | -30.7% |
| 2023 | -0.9361 Percentage change | -87.2% |
| 2024 | -18.81 Percentage change | +1909.8% |
| 2025 | -10.97 Percentage change | -41.7% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1950s | 0.5333 Percentage change | -13.29 Percentage change | 9.79 Percentage change | 10 |
| 1960s | -6.42 Percentage change | -16.1 Percentage change | 5.65 Percentage change | 10 |
| 1970s | -2.59 Percentage change | -7.75 Percentage change | 8.76 Percentage change | 10 |
| 1980s | 1.55 Percentage change | -3.49 Percentage change | 7.99 Percentage change | 10 |
| 1990s | 1.89 Percentage change | -8.94 Percentage change | 8.64 Percentage change | 10 |
| 2000s | -2.83 Percentage change | -12.5 Percentage change | 5.64 Percentage change | 10 |
| 2010s | -3.4 Percentage change | -14.56 Percentage change | 4.3 Percentage change | 10 |
| 2020s | -10.9 Percentage change | -18.81 Percentage change | -0.9361 Percentage change | 6 |
Countries ranked near São Paulo
- 59 Switzerland -0.2925 Percentage change compare
- 60 Puerto Rico -0.4091 Percentage change compare
- 61 Portugal -0.6043 Percentage change compare
- 62 Honduras -0.6894 Percentage change compare
- 63 Malawi -0.9153 Percentage change compare
- 64 Montenegro -0.9561 Percentage change compare
- 65 Solomon Islands -1 Percentage change compare
More environment data for São Paulo
- Historical exposure to drought — Cropland soil moisture anomaly -12.56 Percentage change (2025)
- Exposure to drought — Cropland soil moisture anomaly -18.34 Percentage change (2024)
- Exposure to drought — Land soil moisture anomaly -14.75 Percentage change (2024)
- River flooding exposure — Cropland share exposed to river flooding 1.1 Percentage of agricultural land area (2022)
- Land cover and land cover change — Grassland 12,698 Square kilometres (2022)
- Land cover and land cover change — Loss of cropland 6,472 Square kilometres (2022)
- Land cover and land cover change — Gain of artificial surfaces 2,372 Square kilometres (2022)
Frequently asked questions
- What is historical exposure to drought — land soil moisture anomaly in São Paulo?
- Historical exposure to drought — land soil moisture anomaly in São Paulo was -10.97 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 São Paulo?
- The highest recorded value was 9.79 Percentage change in 1957.
- What is the lowest historical exposure to drought — land soil moisture anomaly recorded in São Paulo?
- The lowest recorded value was -18.81 Percentage change in 2024.
- How does São Paulo rank for historical exposure to drought — land soil moisture anomaly?
- São Paulo ranks 62nd out of 72 groups with data for 2025.
- Is historical exposure to drought — land soil moisture anomaly rising or falling in São Paulo?
- Over the last ten years it is down 355.0%. The long-run trend across the full record is volatile.
- Where does this São Paulo 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.
Download this data
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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