Eswatini vs Palau: Historical exposure to drought — Land soil moisture anomaly

Eswatini
5.34 Percentage change
in 2025
Palau
14.18 Percentage change
in 2025
Eswatini rank
2nd
Palau rank
1st

Historical exposure to drought — Land soil moisture anomaly over time

  • Eswatini
  • Palau
-20-1001020195019872025

How they compare

Palau currently reports 14.18 Percentage change against 5.34 Percentage change in Eswatini, a difference of 8.84 Percentage change.

That makes Palau's figure about 2.7 times Eswatini's.

The two have swapped places 25 times across 76 shared years of data; in 1950 it was Eswatini ahead.

Eswatini ranks 2nd and Palau ranks 1st of 72 groups.

Across the 8 decades both report, Eswatini averaged higher in 3 and Palau in 5.

Head to head by decade

Decade Eswatini Palau Difference Ahead
1950s -3.63 Percentage change 13.14 Percentage change 16.77 Percentage change Palau
1960s -4.17 Percentage change -5.22 Percentage change 1.05 Percentage change Eswatini
1970s 1.78 Percentage change 3.03 Percentage change 1.25 Percentage change Palau
1980s -0.3446 Percentage change -0.5231 Percentage change 0.1785 Percentage change Eswatini
1990s 0.2444 Percentage change -4.04 Percentage change 4.28 Percentage change Eswatini
2000s -0.5045 Percentage change 5.87 Percentage change 6.37 Percentage change Palau
2010s -4.45 Percentage change 1.12 Percentage change 5.56 Percentage change Palau
2020s 1.92 Percentage change 5.89 Percentage change 3.97 Percentage change Palau

Averages of every year both report within each decade.

Frequently asked questions

Which has higher historical exposure to drought — land soil moisture anomaly, Eswatini or Palau?
Palau, at 14.18 Percentage change against 5.34 Percentage change in Eswatini as of 2025.
What is the difference in historical exposure to drought — land soil moisture anomaly between Eswatini and Palau?
8.84 Percentage change, with Palau ahead.
How many years of comparable data are there for Eswatini and Palau?
76 years are reported by both, from 1950 to 2025.
How do Eswatini and Palau rank globally for historical exposure to drought — land soil moisture anomaly?
Eswatini ranks 2nd and Palau ranks 1st of 72 groups.
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.

Individual pages

Share, cite or embed this page

Cite this page

Eswatini vs Palau: Historical exposure to drought — Land soil moisture anomaly. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 25 August 2026, from https://environment.statizoid.com/compare/historical-exposure-to-drought-land-soil-moisture-anomaly/eswatini-2/palau/

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under OECD Terms and Conditions (attribution required); please keep the attribution.

<a href="https://environment.statizoid.com/compare/historical-exposure-to-drought-land-soil-moisture-anomaly/eswatini-2/palau/">Eswatini vs Palau: Historical exposure to drought — Land soil moisture anomaly</a> — Statizoid

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