Mauritius vs Palau: Forest area, 1000 Hectares

Mauritius
38.89
in 2023
Palau
41.65
in 2023
Mauritius rank
176th
Palau rank
175th

Forest area, 1000 Hectares over time

  • Mauritius
  • Palau
010203040199220072023

How they compare

Palau currently reports 41.65 against 38.89 in Mauritius, a difference of 2.76.

That makes Palau's figure about 1.1 times Mauritius's.

The two have swapped places 1 time across 32 shared years of data; in 1992 it was Mauritius ahead.

Mauritius ranks 176th and Palau ranks 175th of 224 countries.

Across the 4 decades both report, Mauritius averaged higher in 2 and Palau in 2.

Head to head by decade

Decade Mauritius Palau Difference Ahead
1990s 41.54 38.94 2.61 Mauritius
2000s 40.34 40.02 0.316 Mauritius
2010s 38.44 40.95 2.5 Palau
2020s 38.83 41.53 2.7 Palau

Averages of every year both report within each decade.

Frequently asked questions

Which has higher forest area, 1000 hectares, Mauritius or Palau?
Palau, at 41.65 against 38.89 in Mauritius as of 2023.
What is the difference in forest area, 1000 hectares between Mauritius and Palau?
2.76, with Palau ahead.
How many years of comparable data are there for Mauritius and Palau?
32 years are reported by both, from 1992 to 2023.
How do Mauritius and Palau rank globally for forest area, 1000 hectares?
Mauritius ranks 176th and Palau ranks 175th of 224 countries.
Where does this data come from?
International Monetary Fund, published as Forest area, 1000 Hectares (Not Applicable). Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Mauritius vs Palau: Forest area, 1000 Hectares. Statizoid, drawing on International Monetary Fund. Retrieved 03 October 2026, from https://climate.statizoid.com/compare/forest-area-1000-hectares-not-applicable/mauritius/palau/

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About this data

Indicator
Forest area, 1000 Hectares (Not Applicable)
Source
International Monetary Fund
Licence
IMF Terms and Conditions (attribution required)
Coverage
236 places, 7,520 data points, 1992–2023
Last refreshed

This dataset provides information on global climate and weather patterns, providing insights into temperature variations, land cover accounts, and shifts in mean sea levels.