Ghana vs Libya: Historical exposure to drought — Cropland soil moisture anomaly

Ghana
-11.89 Percentage change
in 2025
Libya
-10.37 Percentage change
in 2025
Ghana rank
180th
Libya rank
177th

Historical exposure to drought — Cropland soil moisture anomaly over time

  • Ghana
  • Libya
-2002040195019872025

How they compare

Libya currently reports -10.37 Percentage change against -11.89 Percentage change in Ghana, a difference of 1.52 Percentage change.

The two have swapped places 43 times across 76 shared years of data; in 1950 it was Ghana ahead.

Ghana ranks 180th and Libya ranks 177th of 209 countries.

Across the 8 decades both report, Ghana averaged higher in 5 and Libya in 3.

Head to head by decade

Decade Ghana Libya Difference Ahead
1950s -0.8111 Percentage change -3.25 Percentage change 2.44 Percentage change Ghana
1960s 0.4226 Percentage change 4.9 Percentage change 4.48 Percentage change Libya
1970s 4.31 Percentage change 6.73 Percentage change 2.42 Percentage change Libya
1980s 2.44 Percentage change 7.26 Percentage change 4.82 Percentage change Libya
1990s 1.68 Percentage change 0.8165 Percentage change 0.8671 Percentage change Ghana
2000s -3.35 Percentage change -5.03 Percentage change 1.68 Percentage change Ghana
2010s -1.1 Percentage change -1.64 Percentage change 0.536 Percentage change Ghana
2020s -7.55 Percentage change -11.44 Percentage change 3.9 Percentage change Ghana

Averages of every year both report within each decade.

Frequently asked questions

Which has higher historical exposure to drought — cropland soil moisture anomaly, Ghana or Libya?
Libya, at -10.37 Percentage change against -11.89 Percentage change in Ghana as of 2025.
What is the difference in historical exposure to drought — cropland soil moisture anomaly between Ghana and Libya?
1.52 Percentage change, with Libya ahead.
How many years of comparable data are there for Ghana and Libya?
76 years are reported by both, from 1950 to 2025.
How do Ghana and Libya rank globally for historical exposure to drought — cropland soil moisture anomaly?
Ghana ranks 180th and Libya ranks 177th of 209 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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Ghana vs Libya: Historical exposure to drought — Cropland soil moisture anomaly. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 20 August 2026, from https://environment.statizoid.com/compare/historical-exposure-to-drought-cropland-soil-moisture-anomaly/ghana/libya/

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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