Historical exposure to drought — Land soil moisture anomaly in Stockholm
Stockholm: Historical exposure to drought — Land soil moisture anomaly was -1.93 Percentage change in 2025. ◆ Volatile
Historical exposure to drought — Land soil moisture anomaly in Stockholm, 1950–2025
Source: Organisation for Economic Co-operation and Development. Measured in Percentage change.
Analysis
In 2025, historical exposure to drought — land soil moisture anomaly in Stockholm stood at -1.93 Percentage change.
Compared with earlier readings it is down 154.4% on the previous year and down 163.2% over ten years.
Over the whole period, historical exposure to drought — land soil moisture anomaly in Stockholm peaked at 9.57 Percentage change in 2012 and was at its lowest, -10.93 Percentage change, in 1955.
That places Stockholm 1434th out of 3112 regions with data for 2025, putting it 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 Stockholm, year by year
| Year | Percentage change | Change |
|---|---|---|
| 1950 | 1.52 Percentage change | — |
| 1951 | -9.04 Percentage change | -695.0% |
| 1952 | -0.3124 Percentage change | -96.5% |
| 1953 | 0.1125 Percentage change | -136.0% |
| 1954 | 1.4 Percentage change | +1143.0% |
| 1955 | -10.93 Percentage change | -881.7% |
| 1956 | 2.49 Percentage change | -122.8% |
| 1957 | 2.32 Percentage change | -6.9% |
| 1958 | 3.11 Percentage change | +34.2% |
| 1959 | -9.63 Percentage change | -409.4% |
| 1960 | 5.88 Percentage change | -161.1% |
| 1961 | 2.94 Percentage change | -50.1% |
| 1962 | 4.75 Percentage change | +61.9% |
| 1963 | 0.391 Percentage change | -91.8% |
| 1964 | -4.37 Percentage change | -1218.5% |
| 1965 | 5.26 Percentage change | -220.2% |
| 1966 | 0.0461 Percentage change | -99.1% |
| 1967 | 2.59 Percentage change | +5514.0% |
| 1968 | -0.5283 Percentage change | -120.4% |
| 1969 | -3.78 Percentage change | +614.7% |
| 1970 | -7.25 Percentage change | +91.9% |
| 1971 | 2.58 Percentage change | -135.6% |
| 1972 | 2.37 Percentage change | -8.0% |
| 1973 | -1.46 Percentage change | -161.4% |
| 1974 | 3.63 Percentage change | -349.4% |
| 1975 | -5.09 Percentage change | -240.0% |
| 1976 | -0.5843 Percentage change | -88.5% |
| 1977 | 3.12 Percentage change | -633.2% |
| 1978 | 0.9499 Percentage change | -69.5% |
| 1979 | 0.4334 Percentage change | -54.4% |
| 1980 | 1.74 Percentage change | +302.3% |
| 1981 | 7.08 Percentage change | +306.0% |
| 1982 | -2.34 Percentage change | -133.1% |
| 1983 | -1.59 Percentage change | -31.9% |
| 1984 | 5.3 Percentage change | -432.3% |
| 1985 | -0.7573 Percentage change | -114.3% |
| 1986 | 0.7559 Percentage change | -199.8% |
| 1987 | 2.7 Percentage change | +256.6% |
| 1988 | -0.7773 Percentage change | -128.8% |
| 1989 | -4.74 Percentage change | +509.3% |
| 1990 | 3.13 Percentage change | -166.2% |
| 1991 | 0.4846 Percentage change | -84.5% |
| 1992 | -1.86 Percentage change | -483.4% |
| 1993 | -0.2932 Percentage change | -84.2% |
| 1994 | -0.3369 Percentage change | +14.9% |
| 1995 | -0.7973 Percentage change | +136.6% |
| 1996 | -3.7 Percentage change | +364.6% |
| 1997 | 1.3 Percentage change | -135.0% |
| 1998 | 4.7 Percentage change | +262.2% |
| 1999 | -2.56 Percentage change | -154.5% |
| 2000 | 1.74 Percentage change | -167.8% |
| 2001 | -3.83 Percentage change | -320.3% |
| 2002 | -7.42 Percentage change | +93.5% |
| 2003 | -0.751 Percentage change | -89.9% |
| 2004 | 0.3207 Percentage change | -142.7% |
| 2005 | 0.1604 Percentage change | -50.0% |
| 2006 | 4.94 Percentage change | +2979.7% |
| 2007 | -0.3311 Percentage change | -106.7% |
| 2008 | 0.1782 Percentage change | -153.8% |
| 2009 | -3.42 Percentage change | -2019.6% |
| 2010 | 2.73 Percentage change | -179.7% |
| 2011 | -4.4 Percentage change | -261.5% |
| 2012 | 9.57 Percentage change | -317.2% |
| 2013 | 3.11 Percentage change | -67.5% |
| 2014 | -0.5153 Percentage change | -116.5% |
| 2015 | 3.06 Percentage change | -693.9% |
| 2016 | -2.71 Percentage change | -188.6% |
| 2017 | 0.465 Percentage change | -117.1% |
| 2018 | -1.3 Percentage change | -380.2% |
| 2019 | -6.15 Percentage change | +372.3% |
| 2020 | -5.96 Percentage change | -3.2% |
| 2021 | 2.02 Percentage change | -134.0% |
| 2022 | -1.08 Percentage change | -153.5% |
| 2023 | 0.7799 Percentage change | -172.1% |
| 2024 | 3.55 Percentage change | +355.7% |
| 2025 | -1.93 Percentage change | -154.4% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1950s | -1.9 Percentage change | -10.93 Percentage change | 3.11 Percentage change | 10 |
| 1960s | 1.32 Percentage change | -4.37 Percentage change | 5.88 Percentage change | 10 |
| 1970s | -0.1294 Percentage change | -7.25 Percentage change | 3.63 Percentage change | 10 |
| 1980s | 0.7365 Percentage change | -4.74 Percentage change | 7.08 Percentage change | 10 |
| 1990s | 0.0063 Percentage change | -3.7 Percentage change | 4.7 Percentage change | 10 |
| 2000s | -0.8412 Percentage change | -7.42 Percentage change | 4.94 Percentage change | 10 |
| 2010s | 0.3844 Percentage change | -6.15 Percentage change | 9.57 Percentage change | 10 |
| 2020s | -0.4357 Percentage change | -5.96 Percentage change | 3.55 Percentage change | 6 |
More environment data for Stockholm
- Drought - Cities and FUAs — Land soil moisture anomaly -1.9 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -2.05 Percentage change (2025)
- Exposure to drought — Land soil moisture anomaly -0.3807 Percentage change (2024)
- Exposure to drought — Cropland soil moisture anomaly -4.05 Percentage change (2024)
- Greenhouse gas emissions - Cities and FUAs — GHG emissions from waste 0.21 Tonnes of CO2-equivalent (2024)
- River flooding exposure — Cropland share exposed to river flooding 0.9433 Percentage of agricultural land area (2022)
- Total and environment-related patents - FUAs — Patent applications 734 Patents (2022)
- Land surface temperature - Cities and FUAs — Daytime summer land 21.96 Degrees celsius (2024)
- Land surface temperature - Cities and FUAs — Daytime winter land -6.47 Degrees celsius (2024)
- Land surface temperature - Cities and FUAs — Daytime yearly land 13.55 Degrees celsius (2024)
Frequently asked questions
- What is historical exposure to drought — land soil moisture anomaly in Stockholm?
- Historical exposure to drought — land soil moisture anomaly in Stockholm was -1.93 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 Stockholm?
- The highest recorded value was 9.57 Percentage change in 2012.
- What is the lowest historical exposure to drought — land soil moisture anomaly recorded in Stockholm?
- The lowest recorded value was -10.93 Percentage change in 1955.
- How does Stockholm rank for historical exposure to drought — land soil moisture anomaly?
- Stockholm ranks 1434th out of 3112 regions with data for 2025.
- Is historical exposure to drought — land soil moisture anomaly rising or falling in Stockholm?
- Over the last ten years it is down 163.2%. The long-run trend across the full record is volatile.
- Where does this Stockholm 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
CSV · JSON — 76 observations, free to reuse under OECD Terms and Conditions (attribution required).
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