Guatemala vs Pakistan: Index of forest extent, Index

Guatemala
74.85
in 2023
Pakistan
73.63
in 2023
Guatemala rank
204th
Pakistan rank
207th

Index of forest extent, Index over time

  • Guatemala
  • Pakistan
020406080100199220072023

How they compare

Guatemala currently reports 74.85 against 73.63 in Pakistan, a difference of 1.22.

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

Guatemala ranks 204th and Pakistan ranks 207th of 223 countries.

Across the 4 decades both report, Guatemala averaged higher in 1 and Pakistan in 3.

Head to head by decade

Decade Guatemala Pakistan Difference Ahead
1990s 95.71 96.6 0.8875 Pakistan
2000s 85.5 88.38 2.88 Pakistan
2010s 77.47 80.49 3.02 Pakistan
2020s 75.22 74.9 0.3204 Guatemala

Averages of every year both report within each decade.

Frequently asked questions

Which has higher index of forest extent, index, Guatemala or Pakistan?
Guatemala, at 74.85 against 73.63 in Pakistan as of 2023.
What is the difference in index of forest extent, index between Guatemala and Pakistan?
1.22, with Guatemala ahead.
How many years of comparable data are there for Guatemala and Pakistan?
32 years are reported by both, from 1992 to 2023.
How do Guatemala and Pakistan rank globally for index of forest extent, index?
Guatemala ranks 204th and Pakistan ranks 207th 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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Guatemala vs Pakistan: 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/guatemala/pakistan/

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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.