Malaysia vs Thailand: Forest area, 1000 Hectares

Malaysia
18,964
in 2023
Thailand
19,765
in 2023
Malaysia rank
32nd
Thailand rank
31st

Forest area, 1000 Hectares over time

  • Malaysia
  • Thailand
05.0k10.0k15.0k20.0k199220072023

How they compare

Thailand currently reports 19,765 against 18,964 in Malaysia, a difference of 801.

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

Malaysia ranks 32nd and Thailand ranks 31st of 225 countries.

Across the 4 decades both report, Malaysia averaged higher in 1 and Thailand in 3.

Head to head by decade

Decade Malaysia Thailand Difference Ahead
1990s 20,109 19,161 947.23 Malaysia
2000s 19,357 19,482 125.07 Thailand
2010s 19,219 20,025 806.07 Thailand
2020s 19,039 19,819 780.2 Thailand

Averages of every year both report within each decade.

Frequently asked questions

Which has higher forest area, 1000 hectares, Malaysia or Thailand?
Thailand, at 19,765 against 18,964 in Malaysia as of 2023.
What is the difference in forest area, 1000 hectares between Malaysia and Thailand?
801, with Thailand ahead.
How many years of comparable data are there for Malaysia and Thailand?
32 years are reported by both, from 1992 to 2023.
How do Malaysia and Thailand rank globally for forest area, 1000 hectares?
Malaysia ranks 32nd and Thailand ranks 31st 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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Malaysia vs Thailand: 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/malaysia/thailand/

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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.