Mugla vs Samoa: Historical exposure to drought — Land soil moisture anomaly

Mugla
9.05 Percentage change
in 2025
Samoa
0.3482 Percentage change
in 2025
Mugla rank
53rd
Samoa rank
53rd

Historical exposure to drought — Land soil moisture anomaly over time

  • Mugla
  • Samoa
-1001020195019872025

How they compare

Mugla currently reports 9.05 Percentage change against 0.3482 Percentage change in Samoa, a difference of 8.7 Percentage change.

That makes Mugla's figure about 26.0 times Samoa's.

The two have swapped places 36 times across 76 shared years of data; in 1950 it was Mugla ahead.

Mugla ranks 53rd and Samoa ranks 53rd of 3112 regions.

Across the 8 decades both report, Mugla averaged higher in 6 and Samoa in 2.

Head to head by decade

Decade Mugla Samoa Difference Ahead
1950s 3.24 Percentage change -1.66 Percentage change 4.89 Percentage change Mugla
1960s 1.9 Percentage change 0.7479 Percentage change 1.16 Percentage change Mugla
1970s 4.71 Percentage change -0.6008 Percentage change 5.31 Percentage change Mugla
1980s -1.39 Percentage change -1.58 Percentage change 0.1832 Percentage change Mugla
1990s 1.64 Percentage change -0.2173 Percentage change 1.85 Percentage change Mugla
2000s -0.3339 Percentage change 1.78 Percentage change 2.11 Percentage change Samoa
2010s 3.18 Percentage change 0.6831 Percentage change 2.49 Percentage change Mugla
2020s -1.45 Percentage change 1.02 Percentage change 2.46 Percentage change Samoa

Averages of every year both report within each decade.

Frequently asked questions

Which has higher historical exposure to drought — land soil moisture anomaly, Mugla or Samoa?
Mugla, at 9.05 Percentage change against 0.3482 Percentage change in Samoa as of 2025.
What is the difference in historical exposure to drought — land soil moisture anomaly between Mugla and Samoa?
8.7 Percentage change, with Mugla ahead.
How many years of comparable data are there for Mugla and Samoa?
76 years are reported by both, from 1950 to 2025.
How do Mugla and Samoa rank globally for historical exposure to drought — land soil moisture anomaly?
Mugla ranks 53rd and Samoa ranks 53rd of 3112 regions.
Where does this data come from?
Organisation for Economic Co-operation and Development, published as Historical 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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Mugla vs Samoa: Historical exposure to drought — Land soil moisture anomaly. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 21 August 2026, from https://environment.statizoid.com/compare/historical-exposure-to-drought-land-soil-moisture-anomaly/mugla-2/samoa/

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About this data

Indicator
Historical 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
3,375 places, 256,500 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