Comoros vs Denmark: Share of forest land, Percent

Comoros
16.98
in 2023
Denmark
15.78
in 2023
Comoros rank
149th
Denmark rank
152nd

Share of forest land, Percent over time

  • Comoros
  • Denmark
0510152025199220072023

How they compare

Comoros currently reports 16.98 against 15.78 in Denmark, a difference of 1.2.

That makes Comoros's figure about 1.1 times Denmark's.

Across all 32 years both countries report, Comoros has been ahead every year.

Comoros ranks 149th and Denmark ranks 152nd of 224 countries.

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

Head to head by decade

Decade Comoros Denmark Difference Ahead
1990s 23.46 13.84 9.62 Comoros
2000s 21.34 14.46 6.88 Comoros
2010s 18.98 15.34 3.64 Comoros
2020s 17.33 15.75 1.59 Comoros

Averages of every year both report within each decade.

Frequently asked questions

Which has higher share of forest land, percent, Comoros or Denmark?
Comoros, at 16.98 against 15.78 in Denmark as of 2023.
What is the difference in share of forest land, percent between Comoros and Denmark?
1.2, with Comoros ahead.
How many years of comparable data are there for Comoros and Denmark?
32 years are reported by both, from 1992 to 2023.
How do Comoros and Denmark rank globally for share of forest land, percent?
Comoros ranks 149th and Denmark ranks 152nd of 224 countries.
Where does this data come from?
International Monetary Fund, published as Share of forest land, Percent (Not Applicable). Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Comoros vs Denmark: Share of forest land, Percent. Statizoid, drawing on International Monetary Fund. Retrieved 03 October 2026, from https://climate.statizoid.com/compare/share-of-forest-land-percent-not-applicable/comoros/denmark/

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About this data

Indicator
Share of forest land, Percent (Not Applicable)
Source
International Monetary Fund
Licence
IMF Terms and Conditions (attribution required)
Coverage
225 places, 7,081 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.