Historical exposure to drought — Cropland soil moisture anomaly in West Papua Province

West Papua Province: Historical exposure to drought — Cropland soil moisture anomaly was 1.85 Percentage change in 2025. ◆ Volatile

Latest (2025)
1.85 Percentage change
Change on year
down 16.0%
Rank
521st
of 2960 regions
All-time high
4.07 Percentage change
in 2013
All-time low
-8.66 Percentage change
in 1982
Years of data
76
1950–2025

Historical exposure to drought — Cropland soil moisture anomaly in West Papua Province, 1950–2025

-10-505195019872025

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 West Papua Province is 1.85 Percentage change, measured in 2025.

That represents a change of down 16.0% on the previous year and up 168.6% over ten years.

Over the whole period, historical exposure to drought — cropland soil moisture anomaly in West Papua Province peaked at 4.07 Percentage change in 2013 and was at its lowest, -8.66 Percentage change, in 1982.

That places West Papua Province 521st out of 2960 regions with data for 2025, putting it in the top quarter.

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 West Papua Province, year by year

Annual values for Historical exposure to drought — Cropland soil moisture anomaly in West Papua Province, 1950 to 2025.
Year Percentage change Change
1950 3.87 Percentage change
1951 -0.3031 Percentage change -107.8%
1952 -1.34 Percentage change +340.9%
1953 -2.59 Percentage change +93.8%
1954 2.47 Percentage change -195.4%
1955 3.38 Percentage change +36.8%
1956 3.26 Percentage change -3.5%
1957 2.21 Percentage change -32.4%
1958 0.1137 Percentage change -94.8%
1959 1.9 Percentage change +1570.2%
1960 2.6 Percentage change +36.8%
1961 0.1891 Percentage change -92.7%
1962 -0.6192 Percentage change -427.4%
1963 -4.73 Percentage change +663.2%
1964 1.71 Percentage change -136.2%
1965 -4.84 Percentage change -383.1%
1966 1.6 Percentage change -133.0%
1967 0.4916 Percentage change -69.2%
1968 1.22 Percentage change +147.3%
1969 -0.085 Percentage change -107.0%
1970 3.3 Percentage change -3976.5%
1971 3.79 Percentage change +14.9%
1972 -3.74 Percentage change -198.8%
1973 2.22 Percentage change -159.2%
1974 1.92 Percentage change -13.5%
1975 3.23 Percentage change +68.6%
1976 1.67 Percentage change -48.3%
1977 1.48 Percentage change -11.4%
1978 2.34 Percentage change +57.8%
1979 0.3197 Percentage change -86.3%
1980 0.29 Percentage change -9.3%
1981 1.66 Percentage change +474.0%
1982 -8.66 Percentage change -620.5%
1983 2.46 Percentage change -128.4%
1984 1.79 Percentage change -27.4%
1985 2.86 Percentage change +59.9%
1986 0.513 Percentage change -82.0%
1987 0.3328 Percentage change -35.1%
1988 0.4269 Percentage change +28.3%
1989 2.42 Percentage change +467.4%
1990 -0.8421 Percentage change -134.8%
1991 -3.11 Percentage change +269.7%
1992 -0.2765 Percentage change -91.1%
1993 0.1722 Percentage change -162.3%
1994 -3.22 Percentage change -1968.2%
1995 2.51 Percentage change -178.1%
1996 1.95 Percentage change -22.5%
1997 -8.23 Percentage change -522.6%
1998 0.8151 Percentage change -109.9%
1999 1.88 Percentage change +130.4%
2000 2.16 Percentage change +15.2%
2001 0.7926 Percentage change -63.4%
2002 -3.72 Percentage change -568.9%
2003 0.1349 Percentage change -103.6%
2004 0.0191 Percentage change -85.9%
2005 0.9536 Percentage change +4899.2%
2006 0.2711 Percentage change -71.6%
2007 1.59 Percentage change +486.9%
2008 2.86 Percentage change +79.7%
2009 -2.02 Percentage change -170.5%
2010 1.5 Percentage change -174.6%
2011 2.54 Percentage change +69.1%
2012 1.78 Percentage change -30.0%
2013 4.07 Percentage change +128.5%
2014 -1.03 Percentage change -125.3%
2015 -2.69 Percentage change +161.7%
2016 2.37 Percentage change -188.2%
2017 3.06 Percentage change +28.7%
2018 0.5142 Percentage change -83.2%
2019 0.1507 Percentage change -70.7%
2020 0.6967 Percentage change +362.5%
2021 1.92 Percentage change +175.3%
2022 0.4165 Percentage change -78.3%
2023 -2.22 Percentage change -633.4%
2024 2.2 Percentage change -198.9%
2025 1.85 Percentage change -16.0%

Averages by decade

DecadeAverage LowestHighest Years
1950s 1.3 Percentage change -2.59 Percentage change 3.87 Percentage change 10
1960s -0.2474 Percentage change -4.84 Percentage change 2.6 Percentage change 10
1970s 1.65 Percentage change -3.74 Percentage change 3.79 Percentage change 10
1980s 0.4086 Percentage change -8.66 Percentage change 2.86 Percentage change 10
1990s -0.8354 Percentage change -8.23 Percentage change 2.51 Percentage change 10
2000s 0.3053 Percentage change -3.72 Percentage change 2.86 Percentage change 10
2010s 1.23 Percentage change -2.69 Percentage change 4.07 Percentage change 10
2020s 0.8088 Percentage change -2.22 Percentage change 2.2 Percentage change 6

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Frequently asked questions

What is historical exposure to drought — cropland soil moisture anomaly in West Papua Province?
Historical exposure to drought — cropland soil moisture anomaly in West Papua Province was 1.85 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 West Papua Province?
The highest recorded value was 4.07 Percentage change in 2013.
What is the lowest historical exposure to drought — cropland soil moisture anomaly recorded in West Papua Province?
The lowest recorded value was -8.66 Percentage change in 1982.
How does West Papua Province rank for historical exposure to drought — cropland soil moisture anomaly?
West Papua Province ranks 521st out of 2960 regions with data for 2025.
Is historical exposure to drought — cropland soil moisture anomaly rising or falling in West Papua Province?
Over the last ten years it is up 168.6%. The long-run trend across the full record is volatile.
Where does this West Papua Province 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 West Papua Province. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 28 August 2026, from https://environment.statizoid.com/stat/historical-exposure-to-drought-cropland-soil-moisture-anomaly/west-papua-province/

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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