Croatia vs Lithuania: Share of forest land, Percent

Croatia
34.79
in 2023
Lithuania
35.23
in 2023
Croatia rank
99th
Lithuania rank
97th

Share of forest land, Percent over time

  • Croatia
  • Lithuania
010203040199220072023

How they compare

Lithuania currently reports 35.23 against 34.79 in Croatia, a difference of 0.44.

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

Croatia ranks 99th and Lithuania ranks 97th of 224 countries.

Across the 4 decades both report, Croatia averaged higher in 2 and Lithuania in 2.

Head to head by decade

Decade Croatia Lithuania Difference Ahead
1990s 33.42 31.69 1.73 Croatia
2000s 33.97 33.3 0.6686 Croatia
2010s 34.4 34.88 0.4811 Lithuania
2020s 34.72 35.19 0.472 Lithuania

Averages of every year both report within each decade.

Frequently asked questions

Which has higher share of forest land, percent, Croatia or Lithuania?
Lithuania, at 35.23 against 34.79 in Croatia as of 2023.
What is the difference in share of forest land, percent between Croatia and Lithuania?
0.44, with Lithuania ahead.
How many years of comparable data are there for Croatia and Lithuania?
32 years are reported by both, from 1992 to 2023.
How do Croatia and Lithuania rank globally for share of forest land, percent?
Croatia ranks 99th and Lithuania ranks 97th of 224 countries.
Where does this data come from?
International Monetary Fund, published as Share of forest land, Percent (Not Applicable). Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Croatia vs Lithuania: Share of forest land, Percent. Statizoid, drawing on International Monetary Fund. Retrieved 03 October 2026, from https://climate.statizoid.com/compare/share-of-forest-land-percent-not-applicable/croatia/lithuania/

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About this data

Indicator
Share of forest land, Percent (Not Applicable)
Source
International Monetary Fund
Licence
IMF Terms and Conditions (attribution required)
Coverage
225 places, 7,081 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.