Argentina vs Kenya: Historical exposure to drought — Cropland soil moisture anomaly

Argentina
-4.78 Percentage change
in 2025
Kenya
-4.73 Percentage change
in 2025
Argentina rank
100th
Kenya rank
98th

Historical exposure to drought — Cropland soil moisture anomaly over time

  • Argentina
  • Kenya
-20-100102030195019872025

How they compare

Kenya currently reports -4.73 Percentage change against -4.78 Percentage change in Argentina, a difference of 0.05 Percentage change.

The two have swapped places 24 times across 76 shared years of data; in 1950 it was Kenya ahead.

Argentina ranks 100th and Kenya ranks 98th of 168 countries.

Across the 8 decades both report, Argentina averaged higher in 2 and Kenya in 6.

Head to head by decade

Decade Argentina Kenya Difference Ahead
1950s 1.07 Percentage change 11.59 Percentage change 10.52 Percentage change Kenya
1960s -1.05 Percentage change 5.64 Percentage change 6.69 Percentage change Kenya
1970s -1.26 Percentage change 4.51 Percentage change 5.77 Percentage change Kenya
1980s 2.07 Percentage change 2.28 Percentage change 0.2022 Percentage change Kenya
1990s 1.27 Percentage change 0.9163 Percentage change 0.3561 Percentage change Argentina
2000s -3 Percentage change -3.8 Percentage change 0.7991 Percentage change Argentina
2010s -4.66 Percentage change -1.24 Percentage change 3.42 Percentage change Kenya
2020s -13.8 Percentage change -2.02 Percentage change 11.78 Percentage change Kenya

Averages of every year both report within each decade.

Frequently asked questions

Which has higher historical exposure to drought — cropland soil moisture anomaly, Argentina or Kenya?
Kenya, at -4.73 Percentage change against -4.78 Percentage change in Argentina as of 2025.
What is the difference in historical exposure to drought — cropland soil moisture anomaly between Argentina and Kenya?
0.05 Percentage change, with Kenya ahead.
How many years of comparable data are there for Argentina and Kenya?
76 years are reported by both, from 1950 to 2025.
How do Argentina and Kenya rank globally for historical exposure to drought — cropland soil moisture anomaly?
Argentina ranks 100th and Kenya ranks 98th of 168 countries.
Where does this data come from?
Organisation for Economic Co-operation and Development, published as Historical exposure to drought — Cropland soil moisture anomaly. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Argentina vs Kenya: Historical exposure to drought — Cropland soil moisture anomaly. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 24 August 2026, from https://environment.statizoid.com/compare/historical-exposure-to-drought-cropland-soil-moisture-anomaly/argentina/kenya/

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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