Denmark vs Moldova: Index of forest extent, Index

Denmark
117.01
in 2023
Moldova
117.41
in 2023
Denmark rank
29th
Moldova rank
28th

Index of forest extent, Index over time

  • Denmark
  • Moldova
0255075100125199220072023

How they compare

Moldova currently reports 117.41 against 117.01 in Denmark, a difference of 0.4.

The two have swapped places 2 times across 32 shared years of data; in 1992 it was Moldova ahead.

Denmark ranks 29th and Moldova ranks 28th of 223 countries.

Across the 4 decades both report, Denmark averaged higher in 1 and Moldova in 3.

Head to head by decade

Decade Denmark Moldova Difference Ahead
1990s 102.61 102.02 0.5855 Denmark
2000s 107.2 108.73 1.53 Moldova
2010s 113.77 116.3 2.53 Moldova
2020s 116.75 117.41 0.653 Moldova

Averages of every year both report within each decade.

Frequently asked questions

Which has higher index of forest extent, index, Denmark or Moldova?
Moldova, at 117.41 against 117.01 in Denmark as of 2023.
What is the difference in index of forest extent, index between Denmark and Moldova?
0.4, with Moldova ahead.
How many years of comparable data are there for Denmark and Moldova?
32 years are reported by both, from 1992 to 2023.
How do Denmark and Moldova rank globally for index of forest extent, index?
Denmark ranks 29th and Moldova ranks 28th 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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Denmark vs Moldova: 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/denmark/moldova/

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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.