Denmark vs Guam: Index of forest extent, Index

Denmark
117.01
in 2023
Guam
116.67
in 2023
Denmark rank
30th
Guam rank
32nd

Index of forest extent, Index over time

  • Denmark
  • Guam
0255075100125199220072023

How they compare

Denmark currently reports 117.01 against 116.67 in Guam, a difference of 0.34.

The two have swapped places 3 times across 32 shared years of data; in 1992 it was Guam ahead.

Denmark ranks 30th and Guam ranks 32nd of 224 countries.

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

Head to head by decade

Decade Denmark Guam Difference Ahead
1990s 102.61 100 2.61 Denmark
2000s 107.2 100 7.2 Denmark
2010s 113.77 107.92 5.86 Denmark
2020s 116.75 116.67 0.086 Denmark

Averages of every year both report within each decade.

Frequently asked questions

Which has higher index of forest extent, index, Denmark or Guam?
Denmark, at 117.01 against 116.67 in Guam as of 2023.
What is the difference in index of forest extent, index between Denmark and Guam?
0.34, with Denmark ahead.
How many years of comparable data are there for Denmark and Guam?
32 years are reported by both, from 1992 to 2023.
How do Denmark and Guam rank globally for index of forest extent, index?
Denmark ranks 30th and Guam ranks 32nd of 224 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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Denmark vs Guam: Index of forest extent, Index. Statizoid, drawing on International Monetary Fund. Retrieved 18 August 2026, from https://climate.statizoid.com/compare/index-of-forest-extent-index-not-applicable/denmark/guam/

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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.