Lithuania vs Malawi: Forest area, 1000 Hectares

Lithuania
2,205
in 2023
Malawi
2,116
in 2023
Lithuania rank
104th
Malawi rank
107th

Forest area, 1000 Hectares over time

  • Lithuania
  • Malawi
01.0k2.0k3.0k199220072023

How they compare

Lithuania currently reports 2,205 against 2,116 in Malawi, a difference of 89.

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

Lithuania ranks 104th and Malawi ranks 107th of 224 countries.

Across the 4 decades both report, Lithuania averaged higher in 1 and Malawi in 3.

Head to head by decade

Decade Lithuania Malawi Difference Ahead
1990s 1,986 3,271 1,284 Malawi
2000s 2,088 2,893 805.2 Malawi
2010s 2,186 2,473 287.2 Malawi
2020s 2,203 2,179 24.54 Lithuania

Averages of every year both report within each decade.

Frequently asked questions

Which has higher forest area, 1000 hectares, Lithuania or Malawi?
Lithuania, at 2,205 against 2,116 in Malawi as of 2023.
What is the difference in forest area, 1000 hectares between Lithuania and Malawi?
89, with Lithuania ahead.
How many years of comparable data are there for Lithuania and Malawi?
32 years are reported by both, from 1992 to 2023.
How do Lithuania and Malawi rank globally for forest area, 1000 hectares?
Lithuania ranks 104th and Malawi ranks 107th of 224 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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Lithuania vs Malawi: Forest area, 1000 Hectares. Statizoid, drawing on International Monetary Fund. Retrieved 03 October 2026, from https://climate.statizoid.com/compare/forest-area-1000-hectares-not-applicable/lithuania/malawi/

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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.