Argentina vs Ghana: Index of forest extent, Index

Argentina
81.08
in 2023
Ghana
82.47
in 2023
Argentina rank
191st
Ghana rank
188th

Index of forest extent, Index over time

  • Argentina
  • Ghana
020406080100199220072023

How they compare

Ghana currently reports 82.47 against 81.08 in Argentina, a difference of 1.39.

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

Argentina ranks 191st and Ghana ranks 188th of 223 countries.

Across the 4 decades both report, Argentina averaged higher in 3 and Ghana in 1.

Head to head by decade

Decade Argentina Ghana Difference Ahead
1990s 98.17 96.12 2.04 Argentina
2000s 91.72 86.94 4.78 Argentina
2010s 84.19 81.68 2.51 Argentina
2020s 81.55 82.36 0.8154 Ghana

Averages of every year both report within each decade.

Frequently asked questions

Which has higher index of forest extent, index, Argentina or Ghana?
Ghana, at 82.47 against 81.08 in Argentina as of 2023.
What is the difference in index of forest extent, index between Argentina and Ghana?
1.39, with Ghana ahead.
How many years of comparable data are there for Argentina and Ghana?
32 years are reported by both, from 1992 to 2023.
How do Argentina and Ghana rank globally for index of forest extent, index?
Argentina ranks 191st and Ghana ranks 188th 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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Argentina vs Ghana: Index of forest extent, Index. Statizoid, drawing on International Monetary Fund. Retrieved 25 August 2026, from https://climate.statizoid.com/compare/index-of-forest-extent-index-not-applicable/argentina/ghana/

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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.