Armenia vs Bangladesh: Index of forest extent, Index

Armenia
98
in 2023
Bangladesh
98.08
in 2023
Armenia rank
139th
Bangladesh rank
138th

Index of forest extent, Index over time

  • Armenia
  • Bangladesh
020406080100199220072023

How they compare

Bangladesh currently reports 98.08 against 98 in Armenia, a difference of 0.08.

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

Armenia ranks 139th and Bangladesh ranks 138th of 223 countries.

Across the 4 decades both report, Armenia averaged higher in 2 and Bangladesh in 2.

Head to head by decade

Decade Armenia Bangladesh Difference Ahead
1990s 99.78 100 0.2188 Bangladesh
2000s 99.22 99.25 0.0305 Bangladesh
2010s 98.6 98.15 0.443 Armenia
2020s 98.14 98.08 0.0657 Armenia

Averages of every year both report within each decade.

Frequently asked questions

Which has higher index of forest extent, index, Armenia or Bangladesh?
Bangladesh, at 98.08 against 98 in Armenia as of 2023.
What is the difference in index of forest extent, index between Armenia and Bangladesh?
0.08, with Bangladesh ahead.
How many years of comparable data are there for Armenia and Bangladesh?
32 years are reported by both, from 1992 to 2023.
How do Armenia and Bangladesh rank globally for index of forest extent, index?
Armenia ranks 139th and Bangladesh ranks 138th 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 Bangladesh: Index of forest extent, Index. Statizoid, drawing on International Monetary Fund. Retrieved 01 September 2026, from https://climate.statizoid.com/compare/index-of-forest-extent-index-not-applicable/armenia/bangladesh/

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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.