French Guiana vs Montenegro: Exposure to drought — Land soil moisture anomaly

French Guiana
-2.64 Percentage change
in 2024
Montenegro
-2.6 Percentage change
in 2024
French Guiana rank
111th
Montenegro rank
110th

Exposure to drought — Land soil moisture anomaly over time

  • French Guiana
  • Montenegro
-10-50510198120022024

How they compare

Montenegro currently reports -2.6 Percentage change against -2.64 Percentage change in French Guiana, a difference of 0.04 Percentage change.

The two have swapped places 21 times across 44 shared years of data; in 1981 it was French Guiana ahead.

French Guiana ranks 111th and Montenegro ranks 110th of 193 countries.

Across the 5 decades both report, French Guiana averaged higher in 3 and Montenegro in 2.

Head to head by decade

Decade French Guiana Montenegro Difference Ahead
1980s 1.87 Percentage change -0.2433 Percentage change 2.11 Percentage change French Guiana
1990s -1.02 Percentage change -0.3915 Percentage change 0.6277 Percentage change Montenegro
2000s -0.914 Percentage change 0.4128 Percentage change 1.33 Percentage change Montenegro
2010s 0.3564 Percentage change -0.4712 Percentage change 0.8277 Percentage change French Guiana
2020s 1.84 Percentage change -1.23 Percentage change 3.08 Percentage change French Guiana

Averages of every year both report within each decade.

Frequently asked questions

Which has higher exposure to drought — land soil moisture anomaly, French Guiana or Montenegro?
Montenegro, at -2.6 Percentage change against -2.64 Percentage change in French Guiana as of 2024.
What is the difference in exposure to drought — land soil moisture anomaly between French Guiana and Montenegro?
0.04 Percentage change, with Montenegro ahead.
How many years of comparable data are there for French Guiana and Montenegro?
44 years are reported by both, from 1981 to 2024.
How do French Guiana and Montenegro rank globally for exposure to drought — land soil moisture anomaly?
French Guiana ranks 111th and Montenegro ranks 110th of 193 countries.
Where does this data come from?
Organisation for Economic Co-operation and Development, published as Exposure to drought — Land soil moisture anomaly. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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French Guiana vs Montenegro: Exposure to drought — Land soil moisture anomaly. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 29 August 2026, from https://environment.statizoid.com/compare/exposure-to-drought-land-soil-moisture-anomaly/french-guiana/montenegro/

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About this data

Indicator
Exposure to drought — Land soil moisture anomaly
Unit
Percentage change
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
979 places, 43,076 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