Colombia vs Sri Lanka: Index of forest extent, Index

Colombia
90.75
in 2023
Sri Lanka
90.92
in 2023
Colombia rank
167th
Sri Lanka rank
166th

Index of forest extent, Index over time

  • Colombia
  • Sri Lanka
020406080100199220072023

How they compare

Sri Lanka currently reports 90.92 against 90.75 in Colombia, a difference of 0.17.

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

Colombia ranks 167th and Sri Lanka ranks 166th of 223 countries.

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

Head to head by decade

Decade Colombia Sri Lanka Difference Ahead
1990s 98.79 97.22 1.58 Colombia
2000s 95.9 92.42 3.48 Colombia
2010s 93.22 91.55 1.67 Colombia
2020s 91.21 91.13 0.0826 Colombia

Averages of every year both report within each decade.

Frequently asked questions

Which has higher index of forest extent, index, Colombia or Sri Lanka?
Sri Lanka, at 90.92 against 90.75 in Colombia as of 2023.
What is the difference in index of forest extent, index between Colombia and Sri Lanka?
0.17, with Sri Lanka ahead.
How many years of comparable data are there for Colombia and Sri Lanka?
32 years are reported by both, from 1992 to 2023.
How do Colombia and Sri Lanka rank globally for index of forest extent, index?
Colombia ranks 167th and Sri Lanka ranks 166th 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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Colombia vs Sri Lanka: 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/colombia/sri-lanka/

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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.