Georgia vs Thailand: Index of forest extent, Index

Georgia
102.48
in 2023
Thailand
102.47
in 2023
Georgia rank
72nd
Thailand rank
73rd

Index of forest extent, Index over time

  • Georgia
  • Thailand
0255075100199220072023

How they compare

Georgia currently reports 102.48 against 102.47 in Thailand, a difference of 0.01.

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

Georgia ranks 72nd and Thailand ranks 73rd of 223 countries.

Across the 4 decades both report, Georgia averaged higher in 2 and Thailand in 2.

Head to head by decade

Decade Georgia Thailand Difference Ahead
1990s 100.11 99.34 0.7642 Georgia
2000s 101.25 101 0.2487 Georgia
2010s 102.48 103.82 1.34 Thailand
2020s 102.48 102.75 0.266 Thailand

Averages of every year both report within each decade.

Frequently asked questions

Which has higher index of forest extent, index, Georgia or Thailand?
Georgia, at 102.48 against 102.47 in Thailand as of 2023.
What is the difference in index of forest extent, index between Georgia and Thailand?
0.01, with Georgia ahead.
How many years of comparable data are there for Georgia and Thailand?
32 years are reported by both, from 1992 to 2023.
How do Georgia and Thailand rank globally for index of forest extent, index?
Georgia ranks 72nd and Thailand ranks 73rd 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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Georgia vs Thailand: Index of forest extent, Index. Statizoid, drawing on International Monetary Fund. Retrieved 26 August 2026, from https://climate.statizoid.com/compare/index-of-forest-extent-index-not-applicable/georgia/thailand/

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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.