Kuwait vs Oceania: Index of forest extent, Index

Kuwait
167.56
in 2023
Oceania
100.31
in 2023
Kuwait rank
5th
Oceania rank
4th

Index of forest extent, Index over time

  • Kuwait
  • Oceania
050100150199220072023

How they compare

Kuwait currently reports 167.56 against 100.31 in Oceania, a difference of 67.25.

That makes Kuwait's figure about 1.7 times Oceania's.

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

Kuwait ranks 5th and Oceania ranks 4th of 223 countries.

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

Head to head by decade

Decade Kuwait Oceania Difference Ahead
1990s 113.14 99.69 13.45 Kuwait
2000s 146.92 98.72 48.19 Kuwait
2010s 167.56 99.52 68.04 Kuwait
2020s 167.56 100.32 67.24 Kuwait

Averages of every year both report within each decade.

Frequently asked questions

Which has higher index of forest extent, index, Kuwait or Oceania?
Kuwait, at 167.56 against 100.31 in Oceania as of 2023.
What is the difference in index of forest extent, index between Kuwait and Oceania?
67.25, with Kuwait ahead.
How many years of comparable data are there for Kuwait and Oceania?
32 years are reported by both, from 1992 to 2023.
How do Kuwait and Oceania rank globally for index of forest extent, index?
Kuwait ranks 5th and Oceania ranks 4th 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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Kuwait vs Oceania: 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/kuwait/oceania/

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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.