Iceland vs Kuwait: Index of forest extent, Index

Iceland
271.7
in 2023
Kuwait
167.56
in 2023
Iceland rank
2nd
Kuwait rank
5th

Index of forest extent, Index over time

  • Iceland
  • Kuwait
0100200300199220072023

How they compare

Iceland currently reports 271.7 against 167.56 in Kuwait, a difference of 104.14.

That makes Iceland's figure about 1.6 times Kuwait's.

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

Iceland ranks 2nd and Kuwait ranks 5th of 223 countries.

Iceland has averaged higher in every one of the 4 decades both report.

Head to head by decade

Decade Iceland Kuwait Difference Ahead
1990s 122.76 113.14 9.62 Iceland
2000s 186.06 146.92 39.14 Iceland
2010s 243.23 167.56 75.67 Iceland
2020s 266.69 167.56 99.13 Iceland

Averages of every year both report within each decade.

Frequently asked questions

Which has higher index of forest extent, index, Iceland or Kuwait?
Iceland, at 271.7 against 167.56 in Kuwait as of 2023.
What is the difference in index of forest extent, index between Iceland and Kuwait?
104.14, with Iceland ahead.
How many years of comparable data are there for Iceland and Kuwait?
32 years are reported by both, from 1992 to 2023.
How do Iceland and Kuwait rank globally for index of forest extent, index?
Iceland ranks 2nd and Kuwait ranks 5th of 223 countries.
Where does this data come from?
International Monetary Fund, published as Index of forest extent, Index (Not Applicable). Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Iceland vs Kuwait: Index of forest extent, Index. Statizoid, drawing on International Monetary Fund. Retrieved 03 October 2026, from https://climate.statizoid.com/compare/index-of-forest-extent-index-not-applicable/iceland/kuwait/

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About this data

Indicator
Index of forest extent, Index (Not Applicable)
Source
International Monetary Fund
Licence
IMF Terms and Conditions (attribution required)
Coverage
235 places, 7,488 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.