Comoros vs Mantua: Historical exposure to drought — Cropland soil moisture anomaly

Comoros
-6.9 Percentage change
in 2025
Mantua
6.44 Percentage change
in 2025
Comoros rank
121st
Mantua rank
124th

Historical exposure to drought — Cropland soil moisture anomaly over time

  • Comoros
  • Mantua
-1001020195019872025

How they compare

Mantua currently reports 6.44 Percentage change against -6.9 Percentage change in Comoros, a difference of 13.34 Percentage change.

The two have swapped places 37 times across 76 shared years of data; in 1950 it was Comoros ahead.

Comoros ranks 121st and Mantua ranks 124th of 168 countries.

Across the 8 decades both report, Comoros averaged higher in 2 and Mantua in 6.

Head to head by decade

Decade Comoros Mantua Difference Ahead
1950s -1.22 Percentage change 4.21 Percentage change 5.43 Percentage change Mantua
1960s 2.3 Percentage change 4.72 Percentage change 2.41 Percentage change Mantua
1970s 6.64 Percentage change 8.65 Percentage change 2.01 Percentage change Mantua
1980s 3.23 Percentage change 1.22 Percentage change 2.01 Percentage change Comoros
1990s -2.14 Percentage change -2.14 Percentage change 0.0023 Percentage change Comoros
2000s 0.1332 Percentage change 0.3758 Percentage change 0.2426 Percentage change Mantua
2010s -0.115 Percentage change 2.41 Percentage change 2.53 Percentage change Mantua
2020s -4.17 Percentage change 1.88 Percentage change 6.05 Percentage change Mantua

Averages of every year both report within each decade.

Frequently asked questions

Which has higher historical exposure to drought — cropland soil moisture anomaly, Comoros or Mantua?
Mantua, at 6.44 Percentage change against -6.9 Percentage change in Comoros as of 2025.
What is the difference in historical exposure to drought — cropland soil moisture anomaly between Comoros and Mantua?
13.34 Percentage change, with Mantua ahead.
How many years of comparable data are there for Comoros and Mantua?
76 years are reported by both, from 1950 to 2025.
How do Comoros and Mantua rank globally for historical exposure to drought — cropland soil moisture anomaly?
Comoros ranks 121st and Mantua ranks 124th 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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Comoros vs Mantua: Historical exposure to drought — Cropland soil moisture anomaly. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 22 August 2026, from https://environment.statizoid.com/compare/historical-exposure-to-drought-cropland-soil-moisture-anomaly/comoros/mantua/

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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