Pakistan vs Somalia: Index of forest extent, Index

Pakistan
73.63
in 2023
Somalia
70.73
in 2023
Pakistan rank
207th
Somalia rank
210th

Index of forest extent, Index over time

  • Pakistan
  • Somalia
020406080100199220072023

How they compare

Pakistan currently reports 73.63 against 70.73 in Somalia, a difference of 2.9.

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

Pakistan ranks 207th and Somalia ranks 210th of 223 countries.

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

Head to head by decade

Decade Pakistan Somalia Difference Ahead
1990s 96.6 96.7 0.0979 Somalia
2000s 88.38 88.2 0.184 Pakistan
2010s 80.49 78.76 1.73 Pakistan
2020s 74.9 72.15 2.75 Pakistan

Averages of every year both report within each decade.

Frequently asked questions

Which has higher index of forest extent, index, Pakistan or Somalia?
Pakistan, at 73.63 against 70.73 in Somalia as of 2023.
What is the difference in index of forest extent, index between Pakistan and Somalia?
2.9, with Pakistan ahead.
How many years of comparable data are there for Pakistan and Somalia?
32 years are reported by both, from 1992 to 2023.
How do Pakistan and Somalia rank globally for index of forest extent, index?
Pakistan ranks 207th and Somalia ranks 210th 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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Pakistan vs Somalia: 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/pakistan/somalia-fed-rep/

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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.