Malaysia vs Zimbabwe: Index of forest extent, Index

Malaysia
92.81
in 2023
Zimbabwe
92.38
in 2023
Malaysia rank
159th
Zimbabwe rank
161st

Index of forest extent, Index over time

  • Malaysia
  • Zimbabwe
020406080100199220072023

How they compare

Malaysia currently reports 92.81 against 92.38 in Zimbabwe, a difference of 0.43.

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

Malaysia ranks 159th and Zimbabwe ranks 161st of 223 countries.

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

Head to head by decade

Decade Malaysia Zimbabwe Difference Ahead
1990s 98.41 99.14 0.7274 Zimbabwe
2000s 94.73 96.93 2.19 Zimbabwe
2010s 94.06 94.47 0.4071 Zimbabwe
2020s 93.18 92.75 0.4308 Malaysia

Averages of every year both report within each decade.

Frequently asked questions

Which has higher index of forest extent, index, Malaysia or Zimbabwe?
Malaysia, at 92.81 against 92.38 in Zimbabwe as of 2023.
What is the difference in index of forest extent, index between Malaysia and Zimbabwe?
0.43, with Malaysia ahead.
How many years of comparable data are there for Malaysia and Zimbabwe?
32 years are reported by both, from 1992 to 2023.
How do Malaysia and Zimbabwe rank globally for index of forest extent, index?
Malaysia ranks 159th and Zimbabwe ranks 161st of 223 countries.
Where does this data come from?
International Monetary Fund, published as Index of forest extent, Index (Not Applicable). Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Malaysia vs Zimbabwe: Index of forest extent, Index. Statizoid, drawing on International Monetary Fund. Retrieved 03 October 2026, from https://climate.statizoid.com/compare/index-of-forest-extent-index-not-applicable/malaysia/zimbabwe/

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About this data

Indicator
Index of forest extent, Index (Not Applicable)
Source
International Monetary Fund
Licence
IMF Terms and Conditions (attribution required)
Coverage
235 places, 7,488 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.