Forest area, 1000 Hectares in Myanmar

Myanmar: Forest area, 1000 Hectares was 27,675 in 2023. ▼ Falling

Latest (2023)
27,675
Change on year
down 1.0%
World rank
22nd
of 224 countries
All-time high
38,348
in 1992
All-time low
27,675
in 2023
Years of data
32
1992–2023

Forest area, 1000 Hectares in Myanmar, 1992–2023

010.0k20.0k30.0k40.0k1992200720231992: 38.3k1993: 37.9k1994: 37.5k1995: 37.0k1996: 36.6k1997: 36.2k1998: 35.7k1999: 35.3k2000: 34.9k2001: 34.5k2002: 34.2k2003: 33.8k2004: 33.5k2005: 33.2k2006: 32.8k2007: 32.5k2008: 32.1k2009: 31.8k2010: 31.4k2011: 31.2k2012: 30.9k2013: 30.6k2014: 30.3k2015: 30.0k2016: 29.7k2017: 29.4k2018: 29.1k2019: 28.8k2020: 28.5k2021: 28.3k2022: 28.0k2023: 27.7k

Source: International Monetary Fund.

Analysis

Myanmar recorded 27,675 for forest area, 1000 hectares in 2023. That is the lowest value across all 32 years on record.

The figure is down 1.0% on the previous year and down 9.5% over ten years.

Over the whole period, forest area, 1000 hectares in Myanmar peaked at 38,348 in 1992 and was at its lowest, 27,675, in 2023.

Myanmar ranks 22nd of 224 countries on this measure, in the top 10%.

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

Forest area, 1000 Hectares in Myanmar, year by year

Annual values for Forest area, 1000 Hectares (Not Applicable) in Myanmar, 1992 to 2023.
Year Value Change
1992 38,348 —
1993 37,913 -1.1%
1994 37,478 -1.1%
1995 37,043 -1.2%
1996 36,608 -1.2%
1997 36,173 -1.2%
1998 35,738 -1.2%
1999 35,303 -1.2%
2000 34,868 -1.2%
2001 34,525 -1.0%
2002 34,183 -1.0%
2003 33,840 -1.0%
2004 33,497 -1.0%
2005 33,155 -1.0%
2006 32,812 -1.0%
2007 32,469 -1.0%
2008 32,126 -1.1%
2009 31,784 -1.1%
2010 31,441 -1.1%
2011 31,151 -0.9%
2012 30,862 -0.9%
2013 30,572 -0.9%
2014 30,282 -0.9%
2015 29,992 -1.0%
2016 29,703 -1.0%
2017 29,413 -1.0%
2018 29,123 -1.0%
2019 28,834 -1.0%
2020 28,544 -1.0%
2021 28,254 -1.0%
2022 27,964 -1.0%
2023 27,675 -1.0%

Myanmar compared with similar countries

  • Myanmar's 27,675 is above the median for lower middle income countries, which is 3,606, 7.7× the median. (46 countries reporting)
  • Myanmar's 27,675 is above the median for East Asia & Pacific, which is 1,840, 15.0× the median. (34 countries reporting)

Averages by decade

DecadeAverage LowestHighest Years
1990s 36,826 35,303 38,348 8
2000s 33,326 31,784 34,868 10
2010s 30,137 28,834 31,441 10
2020s 28,109 27,675 28,544 4

Countries ranked near Myanmar

  1. 19 Papua New Guinea 35,755 compare
  2. 20 Argentina 28,246 compare
  3. 21 Sweden 27,980 compare
  4. 23 Japan 24,935 compare
  5. 24 Gabon 23,495 compare
  6. 25 Turkey 22,688 compare

See the full ranking of 236 places →

More climate change data for Myanmar

All data for Myanmar →

Frequently asked questions

What is forest area, 1000 hectares in Myanmar?
Forest area, 1000 hectares in Myanmar was 27,675 in 2023, according to International Monetary Fund.
What is the highest forest area, 1000 hectares recorded in Myanmar?
The highest recorded value was 38,348 in 1992.
What is the lowest forest area, 1000 hectares recorded in Myanmar?
The lowest recorded value was 27,675 in 2023.
How does Myanmar rank for forest area, 1000 hectares?
Myanmar ranks 22nd out of 224 countries with data for 2023.
Is forest area, 1000 hectares 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 Forest area, 1000 Hectares (Not Applicable). Statizoid updates them automatically from the source API.

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Forest area, 1000 Hectares in Myanmar. Statizoid, drawing on International Monetary Fund. Retrieved 03 October 2026, from https://climate.statizoid.com/stat/forest-area-1000-hectares-not-applicable/myanmar/

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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.