Historical exposure to drought — Land soil moisture anomaly in Arkhangelsk Oblast

Arkhangelsk Oblast: Historical exposure to drought — Land soil moisture anomaly was -0.1922 Percentage change in 2025. ◆ Volatile

Latest (2025)
-0.1922 Percentage change
Change on year
up 95.3%
Rank
949th
of 3112 regions
All-time high
4.15 Percentage change
in 2017
All-time low
-8.32 Percentage change
in 1960
Years of data
76
1950–2025

Historical exposure to drought — Land soil moisture anomaly in Arkhangelsk Oblast, 1950–2025

-7.5-5-2.502.55195019872025

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 Arkhangelsk Oblast is -0.1922 Percentage change, measured in 2025.

Compared with earlier readings it is up 95.3% on the previous year and down 108.8% over ten years.

Over the whole period, historical exposure to drought — land soil moisture anomaly in Arkhangelsk Oblast peaked at 4.15 Percentage change in 2017 and was at its lowest, -8.32 Percentage change, in 1960.

That places Arkhangelsk Oblast 949th 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 Arkhangelsk Oblast, year by year

Annual values for Historical exposure to drought — Land soil moisture anomaly in Arkhangelsk Oblast, 1950 to 2025.
Year Percentage change Change
1950 -1.31 Percentage change
1951 0.0586 Percentage change -104.5%
1952 0.7162 Percentage change +1121.5%
1953 -1.66 Percentage change -331.1%
1954 -0.7134 Percentage change -56.9%
1955 -3.65 Percentage change +412.2%
1956 0.368 Percentage change -110.1%
1957 1.16 Percentage change +216.1%
1958 -2.27 Percentage change -295.0%
1959 -0.0885 Percentage change -96.1%
1960 -8.32 Percentage change +9297.3%
1961 -1.05 Percentage change -87.4%
1962 2.46 Percentage change -334.5%
1963 -1.39 Percentage change -156.3%
1964 0.4562 Percentage change -132.9%
1965 2.14 Percentage change +369.9%
1966 2.1 Percentage change -1.9%
1967 -0.6604 Percentage change -131.4%
1968 -0.3728 Percentage change -43.5%
1969 -2.04 Percentage change +447.8%
1970 -0.4354 Percentage change -78.7%
1971 1.67 Percentage change -483.4%
1972 -2.24 Percentage change -234.4%
1973 0.1735 Percentage change -107.7%
1974 -1.21 Percentage change -796.5%
1975 -0.8789 Percentage change -27.3%
1976 0.5494 Percentage change -162.5%
1977 0.3759 Percentage change -31.6%
1978 -0.0534 Percentage change -114.2%
1979 0.9777 Percentage change -1932.4%
1980 -4.18 Percentage change -527.7%
1981 0.4187 Percentage change -110.0%
1982 1.05 Percentage change +150.2%
1983 3.86 Percentage change +268.5%
1984 1.5 Percentage change -61.2%
1985 0.1849 Percentage change -87.6%
1986 -0.7708 Percentage change -516.9%
1987 3.51 Percentage change -555.4%
1988 -0.4096 Percentage change -111.7%
1989 -2.03 Percentage change +395.1%
1990 1.77 Percentage change -187.2%
1991 -0.6074 Percentage change -134.3%
1992 0.0338 Percentage change -105.6%
1993 -0.1217 Percentage change -460.0%
1994 -0.0192 Percentage change -84.2%
1995 2.2 Percentage change -11512.7%
1996 0.3845 Percentage change -82.5%
1997 -2.3 Percentage change -697.8%
1998 0.2106 Percentage change -109.2%
1999 0.9443 Percentage change +348.4%
2000 -4.3 Percentage change -555.3%
2001 -2.72 Percentage change -36.7%
2002 -3.39 Percentage change +24.7%
2003 -0.3962 Percentage change -88.3%
2004 -0.9568 Percentage change +141.5%
2005 -1.81 Percentage change +89.6%
2006 -0.2417 Percentage change -86.7%
2007 3.22 Percentage change -1431.4%
2008 3.16 Percentage change -2.0%
2009 -1.13 Percentage change -136.0%
2010 -1.22 Percentage change +7.2%
2011 -3.37 Percentage change +177.3%
2012 0.7281 Percentage change -121.6%
2013 -3.21 Percentage change -541.5%
2014 1.9 Percentage change -159.0%
2015 2.19 Percentage change +15.3%
2016 1.61 Percentage change -26.2%
2017 4.15 Percentage change +157.3%
2018 -1.66 Percentage change -139.9%
2019 3.04 Percentage change -283.9%
2020 1.52 Percentage change -50.0%
2021 3.02 Percentage change +98.3%
2022 0.1498 Percentage change -95.0%
2023 -0.9298 Percentage change -720.6%
2024 -4.13 Percentage change +343.9%
2025 -0.1922 Percentage change -95.3%

Averages by decade

DecadeAverage LowestHighest Years
1950s -0.7385 Percentage change -3.65 Percentage change 1.16 Percentage change 10
1960s -0.6665 Percentage change -8.32 Percentage change 2.46 Percentage change 10
1970s -0.1075 Percentage change -2.24 Percentage change 1.67 Percentage change 10
1980s 0.3128 Percentage change -4.18 Percentage change 3.86 Percentage change 10
1990s 0.2492 Percentage change -2.3 Percentage change 2.2 Percentage change 10
2000s -0.8584 Percentage change -4.3 Percentage change 3.22 Percentage change 10
2010s 0.4156 Percentage change -3.37 Percentage change 4.15 Percentage change 10
2020s -0.093 Percentage change -4.13 Percentage change 3.02 Percentage change 6

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Frequently asked questions

What is historical exposure to drought — land soil moisture anomaly in Arkhangelsk Oblast?
Historical exposure to drought — land soil moisture anomaly in Arkhangelsk Oblast was -0.1922 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 Arkhangelsk Oblast?
The highest recorded value was 4.15 Percentage change in 2017.
What is the lowest historical exposure to drought — land soil moisture anomaly recorded in Arkhangelsk Oblast?
The lowest recorded value was -8.32 Percentage change in 1960.
How does Arkhangelsk Oblast rank for historical exposure to drought — land soil moisture anomaly?
Arkhangelsk Oblast ranks 949th out of 3112 regions with data for 2025.
Is historical exposure to drought — land soil moisture anomaly rising or falling in Arkhangelsk Oblast?
Over the last ten years it is down 108.8%. The long-run trend across the full record is volatile.
Where does this Arkhangelsk Oblast 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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Historical exposure to drought — Land soil moisture anomaly in Arkhangelsk Oblast. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 24 August 2026, from https://environment.statizoid.com/stat/historical-exposure-to-drought-land-soil-moisture-anomaly/arkhangelsk-oblast/

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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