Lithuania vs Turkey: Index of forest extent, Index

Lithuania
112.52
in 2023
Turkey
114.26
in 2023
Lithuania rank
37th
Turkey rank
34th

Index of forest extent, Index over time

  • Lithuania
  • Turkey
0255075100125199220072023

How they compare

Turkey currently reports 114.26 against 112.52 in Lithuania, a difference of 1.74.

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

Lithuania ranks 37th and Turkey ranks 34th of 223 countries.

Across the 4 decades both report, Lithuania averaged higher in 3 and Turkey in 1.

Head to head by decade

Decade Lithuania Turkey Difference Ahead
1990s 101.34 100.64 0.6961 Lithuania
2000s 106.51 103.59 2.92 Lithuania
2010s 111.51 108.53 2.98 Lithuania
2020s 112.41 113.08 0.6732 Turkey

Averages of every year both report within each decade.

Frequently asked questions

Which has higher index of forest extent, index, Lithuania or Turkey?
Turkey, at 114.26 against 112.52 in Lithuania as of 2023.
What is the difference in index of forest extent, index between Lithuania and Turkey?
1.74, with Turkey ahead.
How many years of comparable data are there for Lithuania and Turkey?
32 years are reported by both, from 1992 to 2023.
How do Lithuania and Turkey rank globally for index of forest extent, index?
Lithuania ranks 37th and Turkey ranks 34th 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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Lithuania vs Turkey: 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/lithuania/turkiye/

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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.