Armenia vs Guadeloupe: Index of forest extent, Index

Armenia
98
in 2023
Guadeloupe
96.42
in 2023
Armenia rank
139th
Guadeloupe rank
142nd

Index of forest extent, Index over time

  • Armenia
  • Guadeloupe
020406080100199220072023

How they compare

Armenia currently reports 98 against 96.42 in Guadeloupe, a difference of 1.58.

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

Armenia ranks 139th and Guadeloupe ranks 142nd of 223 countries.

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

Head to head by decade

Decade Armenia Guadeloupe Difference Ahead
1990s 99.78 99.58 0.2046 Armenia
2000s 99.22 98.6 0.6231 Armenia
2010s 98.6 96.91 1.69 Armenia
2020s 98.14 96.55 1.6 Armenia

Averages of every year both report within each decade.

Frequently asked questions

Which has higher index of forest extent, index, Armenia or Guadeloupe?
Armenia, at 98 against 96.42 in Guadeloupe as of 2023.
What is the difference in index of forest extent, index between Armenia and Guadeloupe?
1.58, with Armenia ahead.
How many years of comparable data are there for Armenia and Guadeloupe?
32 years are reported by both, from 1992 to 2023.
How do Armenia and Guadeloupe rank globally for index of forest extent, index?
Armenia ranks 139th and Guadeloupe ranks 142nd 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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Armenia vs Guadeloupe: 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/armenia/guadeloupe/

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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.