Angola vs Argentina: Index of forest extent, Index

Angola
82.26
in 2023
Argentina
81.08
in 2023
Angola rank
190th
Argentina rank
191st

Index of forest extent, Index over time

  • Angola
  • Argentina
020406080100199220072023

How they compare

Angola currently reports 82.26 against 81.08 in Argentina, a difference of 1.18.

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

Angola ranks 190th and Argentina ranks 191st of 223 countries.

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

Head to head by decade

Decade Angola Argentina Difference Ahead
1990s 99.31 98.17 1.15 Angola
2000s 95.26 91.72 3.54 Angola
2010s 88.23 84.19 4.04 Angola
2020s 83.31 81.55 1.76 Angola

Averages of every year both report within each decade.

Frequently asked questions

Which has higher index of forest extent, index, Angola or Argentina?
Angola, at 82.26 against 81.08 in Argentina as of 2023.
What is the difference in index of forest extent, index between Angola and Argentina?
1.18, with Angola ahead.
How many years of comparable data are there for Angola and Argentina?
32 years are reported by both, from 1992 to 2023.
How do Angola and Argentina rank globally for index of forest extent, index?
Angola ranks 190th and Argentina ranks 191st 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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Angola vs Argentina: 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/angola/argentina/

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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.