Cambodia vs Somalia: Index of forest extent, Index

Cambodia
69.35
in 2023
Somalia
70.73
in 2023
Cambodia rank
212th
Somalia rank
210th

Index of forest extent, Index over time

  • Cambodia
  • Somalia
020406080100199220072023

How they compare

Somalia currently reports 70.73 against 69.35 in Cambodia, a difference of 1.38.

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

Cambodia ranks 212th and Somalia ranks 210th of 223 countries.

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

Head to head by decade

Decade Cambodia Somalia Difference Ahead
1990s 99.29 96.7 2.59 Cambodia
2000s 97.58 88.2 9.38 Cambodia
2010s 84.07 78.76 5.31 Cambodia
2020s 71.49 72.15 0.662 Somalia

Averages of every year both report within each decade.

Frequently asked questions

Which has higher index of forest extent, index, Cambodia or Somalia?
Somalia, at 70.73 against 69.35 in Cambodia as of 2023.
What is the difference in index of forest extent, index between Cambodia and Somalia?
1.38, with Somalia ahead.
How many years of comparable data are there for Cambodia and Somalia?
32 years are reported by both, from 1992 to 2023.
How do Cambodia and Somalia rank globally for index of forest extent, index?
Cambodia ranks 212th 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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Cambodia 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/cambodia/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.