Historical exposure to drought — Cropland soil moisture anomaly in Nenets Autonomous Okrug

Nenets Autonomous Okrug: Historical exposure to drought — Cropland soil moisture anomaly was -0.1727 Percentage change in 2025. ◆ Volatile

Latest (2025)
-0.1727 Percentage change
Change on year
down 416.3%
Rank
893rd
of 2960 regions
All-time high
5.71 Percentage change
in 1981
All-time low
-7.05 Percentage change
in 1960
Years of data
76
1950–2025

Historical exposure to drought — Cropland soil moisture anomaly in Nenets Autonomous Okrug, 1950–2025

-505195019872025

Source: Organisation for Economic Co-operation and Development. Measured in Percentage change.

Analysis

The most recent figure for historical exposure to drought — cropland soil moisture anomaly in Nenets Autonomous Okrug is -0.1727 Percentage change, measured in 2025.

Compared with earlier readings it is down 416.3% on the previous year and up 87.1% over ten years.

Over the whole period, historical exposure to drought — cropland soil moisture anomaly in Nenets Autonomous Okrug peaked at 5.71 Percentage change in 1981 and was at its lowest, -7.05 Percentage change, in 1960.

That places Nenets Autonomous Okrug 893rd out of 2960 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 — Cropland soil moisture anomaly in Nenets Autonomous Okrug, year by year

Annual values for Historical exposure to drought — Cropland soil moisture anomaly in Nenets Autonomous Okrug, 1950 to 2025.
Year Percentage change Change
1950 -3.35 Percentage change
1951 5.61 Percentage change -267.3%
1952 -1.43 Percentage change -125.5%
1953 -2.96 Percentage change +107.4%
1954 0.3911 Percentage change -113.2%
1955 0.5681 Percentage change +45.3%
1956 0.5312 Percentage change -6.5%
1957 -2.15 Percentage change -505.7%
1958 -6.59 Percentage change +205.6%
1959 -0.1631 Percentage change -97.5%
1960 -7.05 Percentage change +4223.1%
1961 0.3633 Percentage change -105.2%
1962 4.33 Percentage change +1091.0%
1963 2.24 Percentage change -48.2%
1964 -2.01 Percentage change -189.5%
1965 3.84 Percentage change -291.2%
1966 0.061 Percentage change -98.4%
1967 3.85 Percentage change +6217.1%
1968 -0.8047 Percentage change -120.9%
1969 0.9289 Percentage change -215.4%
1970 -4.46 Percentage change -579.9%
1971 -1.59 Percentage change -64.3%
1972 -2.37 Percentage change +49.2%
1973 -0.4677 Percentage change -80.3%
1974 -1.96 Percentage change +319.3%
1975 -0.6391 Percentage change -67.4%
1976 1.09 Percentage change -270.8%
1977 -0.4139 Percentage change -137.9%
1978 -5.94 Percentage change +1335.2%
1979 1.09 Percentage change -118.4%
1980 -2.67 Percentage change -344.2%
1981 5.71 Percentage change -313.9%
1982 0.8418 Percentage change -85.3%
1983 4.5 Percentage change +434.5%
1984 -4.38 Percentage change -197.3%
1985 -2.79 Percentage change -36.1%
1986 -1.18 Percentage change -57.8%
1987 1.6 Percentage change -235.6%
1988 -5.68 Percentage change -455.6%
1989 -2.93 Percentage change -48.4%
1990 -1.88 Percentage change -36.0%
1991 -5.05 Percentage change +169.0%
1992 0.2251 Percentage change -104.5%
1993 -1 Percentage change -545.7%
1994 2.23 Percentage change -322.6%
1995 2.17 Percentage change -3.1%
1996 2.45 Percentage change +13.1%
1997 -0.2015 Percentage change -108.2%
1998 -3.05 Percentage change +1415.7%
1999 1.23 Percentage change -140.2%
2000 -1.98 Percentage change -260.9%
2001 5.21 Percentage change -363.4%
2002 -1.25 Percentage change -123.9%
2003 0.5985 Percentage change -148.0%
2004 -2.25 Percentage change -475.9%
2005 -0.3679 Percentage change -83.6%
2006 0.6598 Percentage change -279.3%
2007 5.31 Percentage change +704.7%
2008 2.67 Percentage change -49.7%
2009 -1.85 Percentage change -169.4%
2010 0.4505 Percentage change -124.3%
2011 -4.92 Percentage change -1191.3%
2012 3.01 Percentage change -161.2%
2013 -3.13 Percentage change -203.8%
2014 3.86 Percentage change -223.5%
2015 -1.34 Percentage change -134.7%
2016 -1.19 Percentage change -11.1%
2017 -3.54 Percentage change +197.6%
2018 -1.58 Percentage change -55.4%
2019 2.02 Percentage change -227.8%
2020 -4.32 Percentage change -313.9%
2021 3.09 Percentage change -171.4%
2022 -4.79 Percentage change -255.3%
2023 -2.1 Percentage change -56.2%
2024 0.0546 Percentage change -102.6%
2025 -0.1727 Percentage change -416.3%

Averages by decade

DecadeAverage LowestHighest Years
1950s -0.9549 Percentage change -6.59 Percentage change 5.61 Percentage change 10
1960s 0.5754 Percentage change -7.05 Percentage change 4.33 Percentage change 10
1970s -1.57 Percentage change -5.94 Percentage change 1.09 Percentage change 10
1980s -0.6987 Percentage change -5.68 Percentage change 5.71 Percentage change 10
1990s -0.2885 Percentage change -5.05 Percentage change 2.45 Percentage change 10
2000s 0.6753 Percentage change -2.25 Percentage change 5.31 Percentage change 10
2010s -0.6354 Percentage change -4.92 Percentage change 3.86 Percentage change 10
2020s -1.37 Percentage change -4.79 Percentage change 3.09 Percentage change 6

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Frequently asked questions

What is historical exposure to drought — cropland soil moisture anomaly in Nenets Autonomous Okrug?
Historical exposure to drought — cropland soil moisture anomaly in Nenets Autonomous Okrug was -0.1727 Percentage change in 2025, according to Organisation for Economic Co-operation and Development.
What is the highest historical exposure to drought — cropland soil moisture anomaly recorded in Nenets Autonomous Okrug?
The highest recorded value was 5.71 Percentage change in 1981.
What is the lowest historical exposure to drought — cropland soil moisture anomaly recorded in Nenets Autonomous Okrug?
The lowest recorded value was -7.05 Percentage change in 1960.
How does Nenets Autonomous Okrug rank for historical exposure to drought — cropland soil moisture anomaly?
Nenets Autonomous Okrug ranks 893rd out of 2960 regions with data for 2025.
Is historical exposure to drought — cropland soil moisture anomaly rising or falling in Nenets Autonomous Okrug?
Over the last ten years it is up 87.1%. The long-run trend across the full record is volatile.
Where does this Nenets Autonomous Okrug data come from?
The figures come from Organisation for Economic Co-operation and Development, published as part of Historical exposure to drought — Cropland soil moisture anomaly. Statizoid updates them automatically from the source API.

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Historical exposure to drought — Cropland soil moisture anomaly in Nenets Autonomous Okrug. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 24 August 2026, from https://environment.statizoid.com/stat/historical-exposure-to-drought-cropland-soil-moisture-anomaly/nenets-autonomous-okrug/

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About this data

Indicator
Historical exposure to drought — Cropland soil moisture anomaly
Unit
Percentage change
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
3,200 places, 243,200 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