Altai Krai vs Mauritius: Exposure to drought — Land soil moisture anomaly

Altai Krai
7.83 Percentage change
in 2024
Mauritius
6.77 Percentage change
in 2024
Altai Krai rank
19th
Mauritius rank
14th

Exposure to drought — Land soil moisture anomaly over time

  • Altai Krai
  • Mauritius
-40-2002040198120022024

How they compare

Altai Krai currently reports 7.83 Percentage change against 6.77 Percentage change in Mauritius, a difference of 1.06 Percentage change.

That makes Altai Krai's figure about 1.2 times Mauritius's.

The two have swapped places 17 times across 44 shared years of data; in 1981 it was Mauritius ahead.

Altai Krai ranks 19th and Mauritius ranks 14th of 719 regions.

Across the 5 decades both report, Altai Krai averaged higher in 1 and Mauritius in 4.

Head to head by decade

Decade Altai Krai Mauritius Difference Ahead
1980s 1.81 Percentage change 10.22 Percentage change 8.42 Percentage change Mauritius
1990s -0.1549 Percentage change -10.28 Percentage change 10.13 Percentage change Altai Krai
2000s -1.11 Percentage change 1.25 Percentage change 2.36 Percentage change Mauritius
2010s -1.83 Percentage change 1.95 Percentage change 3.78 Percentage change Mauritius
2020s -1.4 Percentage change 12.69 Percentage change 14.1 Percentage change Mauritius

Averages of every year both report within each decade.

Frequently asked questions

Which has higher exposure to drought — land soil moisture anomaly, Altai Krai or Mauritius?
Altai Krai, at 7.83 Percentage change against 6.77 Percentage change in Mauritius as of 2024.
What is the difference in exposure to drought — land soil moisture anomaly between Altai Krai and Mauritius?
1.06 Percentage change, with Altai Krai ahead.
How many years of comparable data are there for Altai Krai and Mauritius?
44 years are reported by both, from 1981 to 2024.
How do Altai Krai and Mauritius rank globally for exposure to drought — land soil moisture anomaly?
Altai Krai ranks 19th and Mauritius ranks 14th of 719 regions.
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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Altai Krai vs Mauritius: Exposure to drought — Land soil moisture anomaly. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 23 August 2026, from https://environment.statizoid.com/compare/exposure-to-drought-land-soil-moisture-anomaly/altai-krai/mauritius/

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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