Index of forest extent, Index in Malaysia

Malaysia: Index of forest extent, Index was 92.81 in 2023. ▼ Falling

Latest (2023)
92.81
Change on year
down 0.3%
World rank
159th
of 223 countries
All-time high
100
in 1992
All-time low
92.73
in 2010
Years of data
32
1992–2023

Index of forest extent, Index in Malaysia, 1992–2023

0204060801001992200720231992: 1001993: 99.51994: 99.11995: 98.61996: 98.21997: 97.71998: 97.31999: 96.82000: 96.42001: 962002: 95.62003: 95.32004: 94.92005: 94.62006: 94.22007: 93.82008: 93.52009: 93.12010: 92.72011: 93.22012: 93.72013: 94.22014: 94.82015: 95.32016: 94.52017: 94.32018: 942019: 93.82020: 93.52021: 93.32022: 93.12023: 92.8

Source: International Monetary Fund.

Analysis

In 2023, index of forest extent, index in Malaysia stood at 92.81.

The figure is down 0.3% on the previous year and down 1.5% over ten years.

Over the whole period, index of forest extent, index in Malaysia peaked at 100 in 1992 and was at its lowest, 92.73, in 2010.

That places Malaysia 159th out of 223 countries with data for 2023, putting it in the middle of the range.

The long-run direction has been consistently falling across the 32 years of available data.

Index of forest extent, Index in Malaysia, year by year

Annual values for Index of forest extent, Index (Not Applicable) in Malaysia, 1992 to 2023.
Year Value Change
1992 100 —
1993 99.55 -0.5%
1994 99.09 -0.5%
1995 98.64 -0.5%
1996 98.19 -0.5%
1997 97.73 -0.5%
1998 97.28 -0.5%
1999 96.82 -0.5%
2000 96.37 -0.5%
2001 96.01 -0.4%
2002 95.64 -0.4%
2003 95.28 -0.4%
2004 94.91 -0.4%
2005 94.55 -0.4%
2006 94.19 -0.4%
2007 93.82 -0.4%
2008 93.46 -0.4%
2009 93.09 -0.4%
2010 92.73 -0.4%
2011 93.24 +0.5%
2012 93.74 +0.5%
2013 94.25 +0.5%
2014 94.75 +0.5%
2015 95.26 +0.5%
2016 94.53 -0.8%
2017 94.28 -0.3%
2018 94.04 -0.3%
2019 93.79 -0.3%
2020 93.54 -0.3%
2021 93.3 -0.3%
2022 93.05 -0.3%
2023 92.81 -0.3%

Malaysia compared with similar countries

  • Malaysia's 92.81 is below the median for upper middle income countries, which is 100, 93% of the median. (58 countries reporting)
  • Malaysia's 92.81 is below the median for East Asia & Pacific, which is 99.55, 93% of the median. (34 countries reporting)

Averages by decade

DecadeAverage LowestHighest Years
1990s 98.41 96.82 100 8
2000s 94.73 93.09 96.37 10
2010s 94.06 92.73 95.26 10
2020s 93.18 92.81 93.54 4

Countries ranked near Malaysia

  1. 156 Mexico 93.1 compare
  2. 157 Kenya 93.09 compare
  3. 158 Laos 92.86 compare
  4. 160 Brunei 92.73 compare
  5. 161 Zimbabwe 92.38 compare
  6. 162 Samoa 91.47 compare

See the full ranking of 235 places →

More climate change data for Malaysia

All data for Malaysia →

Frequently asked questions

What is index of forest extent, index in Malaysia?
Index of forest extent, index in Malaysia was 92.81 in 2023, according to International Monetary Fund.
What is the highest index of forest extent, index recorded in Malaysia?
The highest recorded value was 100 in 1992.
What is the lowest index of forest extent, index recorded in Malaysia?
The lowest recorded value was 92.73 in 2010.
How does Malaysia rank for index of forest extent, index?
Malaysia ranks 159th out of 223 countries with data for 2023.
Is index of forest extent, index rising or falling in Malaysia?
Over the last ten years it is down 1.5%. The long-run trend across the full record is falling.
Where does this Malaysia data come from?
The figures come from International Monetary Fund, published as part of Index of forest extent, Index (Not Applicable). Statizoid updates them automatically from the source API.

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

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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.