Belarus vs Guadeloupe: Share of forest land, Percent

Belarus
43.41
in 2023
Guadeloupe
44.28
in 2023
Belarus rank
72nd
Guadeloupe rank
70th

Share of forest land, Percent over time

  • Belarus
  • Guadeloupe
010203040199220072023

How they compare

Guadeloupe currently reports 44.28 against 43.41 in Belarus, a difference of 0.87.

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

Belarus ranks 72nd and Guadeloupe ranks 70th of 224 countries.

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

Head to head by decade

Decade Belarus Guadeloupe Difference Ahead
1990s 39.69 43.84 4.15 Guadeloupe
2000s 41.57 43.41 1.83 Guadeloupe
2010s 42.73 44.32 1.59 Guadeloupe
2020s 43.3 44.34 1.04 Guadeloupe

Averages of every year both report within each decade.

Frequently asked questions

Which has higher share of forest land, percent, Belarus or Guadeloupe?
Guadeloupe, at 44.28 against 43.41 in Belarus as of 2023.
What is the difference in share of forest land, percent between Belarus and Guadeloupe?
0.87, with Guadeloupe ahead.
How many years of comparable data are there for Belarus and Guadeloupe?
32 years are reported by both, from 1992 to 2023.
How do Belarus and Guadeloupe rank globally for share of forest land, percent?
Belarus ranks 72nd and Guadeloupe ranks 70th 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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Belarus vs Guadeloupe: 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/belarus/guadeloupe/

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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.