Croatia vs Tajikistan: Index of forest extent, Index

Croatia
104.83
in 2023
Tajikistan
104.5
in 2023
Croatia rank
61st
Tajikistan rank
63rd

Index of forest extent, Index over time

  • Croatia
  • Tajikistan
0255075100199220072023

How they compare

Croatia currently reports 104.83 against 104.5 in Tajikistan, a difference of 0.33.

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

Croatia ranks 61st and Tajikistan ranks 63rd of 223 countries.

Croatia has averaged higher in every one of the 4 decades both report.

Head to head by decade

Decade Croatia Tajikistan Difference Ahead
1990s 100.66 100.17 0.488 Croatia
2000s 102.36 100.39 1.96 Croatia
2010s 103.67 102.44 1.24 Croatia
2020s 104.62 104.14 0.4855 Croatia

Averages of every year both report within each decade.

Frequently asked questions

Which has higher index of forest extent, index, Croatia or Tajikistan?
Croatia, at 104.83 against 104.5 in Tajikistan as of 2023.
What is the difference in index of forest extent, index between Croatia and Tajikistan?
0.33, with Croatia ahead.
How many years of comparable data are there for Croatia and Tajikistan?
32 years are reported by both, from 1992 to 2023.
How do Croatia and Tajikistan rank globally for index of forest extent, index?
Croatia ranks 61st and Tajikistan ranks 63rd 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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Croatia vs Tajikistan: 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/croatia/tajikistan/

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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.