Chile vs Kyrgyzstan: Index of forest extent, Index

Chile
120.96
in 2023
Kyrgyzstan
119.63
in 2023
Chile rank
21st
Kyrgyzstan rank
24th

Index of forest extent, Index over time

  • Chile
  • Kyrgyzstan
0255075100125199220072023

How they compare

Chile currently reports 120.96 against 119.63 in Kyrgyzstan, a difference of 1.33.

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

Chile ranks 21st and Kyrgyzstan ranks 24th of 223 countries.

Across the 4 decades both report, Chile averaged higher in 3 and Kyrgyzstan in 1.

Head to head by decade

Decade Chile Kyrgyzstan Difference Ahead
1990s 101.3 101.36 0.0581 Kyrgyzstan
2000s 105.63 105.02 0.6113 Chile
2010s 113.66 109.47 4.19 Chile
2020s 119.76 117.24 2.52 Chile

Averages of every year both report within each decade.

Frequently asked questions

Which has higher index of forest extent, index, Chile or Kyrgyzstan?
Chile, at 120.96 against 119.63 in Kyrgyzstan as of 2023.
What is the difference in index of forest extent, index between Chile and Kyrgyzstan?
1.33, with Chile ahead.
How many years of comparable data are there for Chile and Kyrgyzstan?
32 years are reported by both, from 1992 to 2023.
How do Chile and Kyrgyzstan rank globally for index of forest extent, index?
Chile ranks 21st and Kyrgyzstan ranks 24th 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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Chile vs Kyrgyzstan: 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/chile/kyrgyz-republic/

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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.