Guadeloupe vs South Sudan: Exposure to drought — Cropland soil moisture anomaly

Guadeloupe
-19.86 Percentage change
in 2024
South Sudan
-17.7 Percentage change
in 2024
Guadeloupe rank
160th
South Sudan rank
157th

Exposure to drought — Cropland soil moisture anomaly over time

  • Guadeloupe
  • South Sudan
-20-10010198120022024

How they compare

South Sudan currently reports -17.7 Percentage change against -19.86 Percentage change in Guadeloupe, a difference of 2.16 Percentage change.

The two have swapped places 16 times across 44 shared years of data; in 1981 it was South Sudan ahead.

Guadeloupe ranks 160th and South Sudan ranks 157th of 167 countries.

Across the 5 decades both report, Guadeloupe averaged higher in 3 and South Sudan in 2.

Head to head by decade

Decade Guadeloupe South Sudan Difference Ahead
1980s 1.22 Percentage change 3.51 Percentage change 2.3 Percentage change South Sudan
1990s -0.4846 Percentage change 1.88 Percentage change 2.36 Percentage change South Sudan
2000s -0.6053 Percentage change -4.62 Percentage change 4.01 Percentage change Guadeloupe
2010s 0.6854 Percentage change -7.33 Percentage change 8.02 Percentage change Guadeloupe
2020s -8.78 Percentage change -14.57 Percentage change 5.79 Percentage change Guadeloupe

Averages of every year both report within each decade.

Frequently asked questions

Which has higher exposure to drought — cropland soil moisture anomaly, Guadeloupe or South Sudan?
South Sudan, at -17.7 Percentage change against -19.86 Percentage change in Guadeloupe as of 2024.
What is the difference in exposure to drought — cropland soil moisture anomaly between Guadeloupe and South Sudan?
2.16 Percentage change, with South Sudan ahead.
How many years of comparable data are there for Guadeloupe and South Sudan?
44 years are reported by both, from 1981 to 2024.
How do Guadeloupe and South Sudan rank globally for exposure to drought — cropland soil moisture anomaly?
Guadeloupe ranks 160th and South Sudan ranks 157th of 167 countries.
Where does this data come from?
Organisation for Economic Co-operation and Development, published as 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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Guadeloupe vs South Sudan: Exposure to drought — Cropland soil moisture anomaly. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 28 August 2026, from https://environment.statizoid.com/compare/exposure-to-drought-cropland-soil-moisture-anomaly/guadeloupe/south-sudan/

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About this data

Indicator
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
934 places, 41,095 data points, 1981–2024
Last refreshed

The dataset provides annual anomalies in land and cropland soil moisture content of the top soil layer 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 1981-2022 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 (ERA5). Contact: ENV.Stat@oecd.org Database documentation