Index of forest extent, Index in Myanmar

Myanmar: Index of forest extent, Index was 72.17 in 2023. ▼ Falling

Latest (2023)
72.17
Change on year
down 1.0%
World rank
209th
of 223 countries
All-time high
100
in 1992
All-time low
72.17
in 2023
Years of data
32
1992–2023

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

0204060801001992200720231992: 1001993: 98.91994: 97.71995: 96.61996: 95.51997: 94.31998: 93.21999: 92.12000: 90.92001: 902002: 89.12003: 88.22004: 87.32005: 86.52006: 85.62007: 84.72008: 83.82009: 82.92010: 822011: 81.22012: 80.52013: 79.72014: 792015: 78.22016: 77.52017: 76.72018: 75.92019: 75.22020: 74.42021: 73.72022: 72.92023: 72.2

Source: International Monetary Fund.

Analysis

In 2023, index of forest extent, index in Myanmar stood at 72.17. That is the lowest value across all 32 years on record.

That represents a change of down 1.0% on the previous year and down 9.5% over ten years.

Over the whole period, index of forest extent, index in Myanmar peaked at 100 in 1992 and was at its lowest, 72.17, in 2023.

Myanmar ranks 209th of 223 countries on this measure, in the bottom quarter.

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

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

Annual values for Index of forest extent, Index (Not Applicable) in Myanmar, 1992 to 2023.
Year Value Change
1992 100 —
1993 98.87 -1.1%
1994 97.73 -1.1%
1995 96.6 -1.2%
1996 95.46 -1.2%
1997 94.33 -1.2%
1998 93.19 -1.2%
1999 92.06 -1.2%
2000 90.92 -1.2%
2001 90.03 -1.0%
2002 89.14 -1.0%
2003 88.24 -1.0%
2004 87.35 -1.0%
2005 86.46 -1.0%
2006 85.56 -1.0%
2007 84.67 -1.0%
2008 83.78 -1.1%
2009 82.88 -1.1%
2010 81.99 -1.1%
2011 81.23 -0.9%
2012 80.48 -0.9%
2013 79.72 -0.9%
2014 78.97 -0.9%
2015 78.21 -1.0%
2016 77.45 -1.0%
2017 76.7 -1.0%
2018 75.94 -1.0%
2019 75.19 -1.0%
2020 74.43 -1.0%
2021 73.68 -1.0%
2022 72.92 -1.0%
2023 72.17 -1.0%

Myanmar compared with similar countries

  • Myanmar's 72.17 is below the median for lower middle income countries, which is 92.62, 78% of the median. (46 countries reporting)
  • Myanmar's 72.17 is below the median for East Asia & Pacific, which is 99.55, 72% of the median. (34 countries reporting)

Averages by decade

DecadeAverage LowestHighest Years
1990s 96.03 92.06 100 8
2000s 86.9 82.88 90.92 10
2010s 78.59 75.19 81.99 10
2020s 73.3 72.17 74.43 4

Countries ranked near Myanmar

  1. 206 Namibia 74.48 compare
  2. 207 Pakistan 73.63 compare
  3. 208 Northern Mariana Islands 73.2 compare
  4. 210 Somalia 70.73 compare
  5. 211 Comoros 69.94 compare
  6. 212 Cambodia 69.35 compare

See the full ranking of 235 places →

More climate change data for Myanmar

All data for Myanmar →

Frequently asked questions

What is index of forest extent, index in Myanmar?
Index of forest extent, index in Myanmar was 72.17 in 2023, according to International Monetary Fund.
What is the highest index of forest extent, index recorded in Myanmar?
The highest recorded value was 100 in 1992.
What is the lowest index of forest extent, index recorded in Myanmar?
The lowest recorded value was 72.17 in 2023.
How does Myanmar rank for index of forest extent, index?
Myanmar ranks 209th out of 223 countries with data for 2023.
Is index of forest extent, index rising or falling in Myanmar?
Over the last ten years it is down 9.5%. The long-run trend across the full record is falling.
Where does this Myanmar 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 Myanmar. Statizoid, drawing on International Monetary Fund. Retrieved 03 October 2026, from https://climate.statizoid.com/stat/index-of-forest-extent-index-not-applicable/myanmar/

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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.