Botswana vs Suriname: Forest area, 1000 Hectares

Botswana
14,900
in 2023
Suriname
15,160
in 2023
Botswana rank
44th
Suriname rank
43rd

Forest area, 1000 Hectares over time

  • Botswana
  • Suriname
05.0k10.0k15.0k20.0k199220072023

How they compare

Suriname currently reports 15,160 against 14,900 in Botswana, a difference of 260.

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

Botswana ranks 44th and Suriname ranks 43rd of 225 countries.

Across the 4 decades both report, Botswana averaged higher in 3 and Suriname in 1.

Head to head by decade

Decade Botswana Suriname Difference Ahead
1990s 18,153 15,357 2,796 Botswana
2000s 17,088 15,322 1,766 Botswana
2010s 15,905 15,256 649.63 Botswana
2020s 15,077 15,178 100.67 Suriname

Averages of every year both report within each decade.

Frequently asked questions

Which has higher forest area, 1000 hectares, Botswana or Suriname?
Suriname, at 15,160 against 14,900 in Botswana as of 2023.
What is the difference in forest area, 1000 hectares between Botswana and Suriname?
260, with Suriname ahead.
How many years of comparable data are there for Botswana and Suriname?
32 years are reported by both, from 1992 to 2023.
How do Botswana and Suriname rank globally for forest area, 1000 hectares?
Botswana ranks 44th and Suriname ranks 43rd of 225 countries.
Where does this data come from?
International Monetary Fund, published as Forest area, 1000 Hectares (Not Applicable). Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Botswana vs Suriname: Forest area, 1000 Hectares. Statizoid, drawing on International Monetary Fund. Retrieved 18 August 2026, from https://climate.statizoid.com/compare/forest-area-1000-hectares-not-applicable/botswana/suriname/

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About this data

Indicator
Forest area, 1000 Hectares (Not Applicable)
Source
International Monetary Fund
Licence
IMF Terms and Conditions (attribution required)
Coverage
236 places, 7,520 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.