Index of carbon stocks in forests, Index in Thailand

Thailand: Index of carbon stocks in forests, Index was 103.03 in 2023. ▲ Rising

Latest (2023)
103.03
Change on year
down 0.2%
World rank
82nd
of 196 countries
All-time high
104.61
in 2015
All-time low
98.57
in 2000
Years of data
32
1992–2023

Index of carbon stocks in forests, Index in Thailand, 1992–2023

02550751001992200720231992: 1001993: 99.81994: 99.61995: 99.51996: 99.31997: 99.11998: 98.91999: 98.72000: 98.62001: 99.22002: 99.82003: 100.42004: 1012005: 101.52006: 102.12007: 102.72008: 103.32009: 103.92010: 104.52011: 104.52012: 104.62013: 104.62014: 104.62015: 104.62016: 104.42017: 104.22018: 1042019: 103.82020: 103.62021: 103.42022: 103.22023: 103

Source: International Monetary Fund.

Analysis

Thailand recorded 103.03 for index of carbon stocks in forests, index in 2023.

That represents a change of down 0.2% on the previous year and down 1.5% over ten years.

Over the whole period, index of carbon stocks in forests, index in Thailand peaked at 104.61 in 2015 and was at its lowest, 98.57, in 2000.

Thailand ranks 82nd of 196 countries on this measure, in the middle of the range.

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

Index of carbon stocks in forests, Index in Thailand, year by year

Annual values for Index of carbon stocks in forests, Index (Not Applicable) in Thailand, 1992 to 2023.
Year Value Change
1992 100
1993 99.82 -0.2%
1994 99.64 -0.2%
1995 99.46 -0.2%
1996 99.29 -0.2%
1997 99.11 -0.2%
1998 98.93 -0.2%
1999 98.75 -0.2%
2000 98.57 -0.2%
2001 99.17 +0.6%
2002 99.76 +0.6%
2003 100.36 +0.6%
2004 100.95 +0.6%
2005 101.55 +0.6%
2006 102.14 +0.6%
2007 102.74 +0.6%
2008 103.33 +0.6%
2009 103.93 +0.6%
2010 104.53 +0.6%
2011 104.54 +0.0%
2012 104.56 +0.0%
2013 104.58 +0.0%
2014 104.6 +0.0%
2015 104.61 +0.0%
2016 104.39 -0.2%
2017 104.19 -0.2%
2018 104 -0.2%
2019 103.8 -0.2%
2020 103.61 -0.2%
2021 103.41 -0.2%
2022 103.22 -0.2%
2023 103.03 -0.2%

Averages by decade

DecadeAverage LowestHighest Years
1990s 99.37 98.75 100 8
2000s 101.25 98.57 103.93 10
2010s 104.38 103.8 104.61 10
2020s 103.32 103.03 103.61 4

Countries ranked near Thailand

  1. 79 Mexico 104.29 compare
  2. 80 Turkmenistan 104.03 compare
  3. 81 Israel 103.74 compare
  4. 83 Saint Vincent and the Grenadines 102.88 compare
  5. 84 French Polynesia 102.61 compare
  6. 85 Micronesia (country) 101.29 compare

See the full ranking of 207 places →

More climate change data for Thailand

All data for Thailand →

Frequently asked questions

What is index of carbon stocks in forests, index in Thailand?
Index of carbon stocks in forests, index in Thailand was 103.03 in 2023, according to International Monetary Fund.
What is the highest index of carbon stocks in forests, index recorded in Thailand?
The highest recorded value was 104.61 in 2015.
What is the lowest index of carbon stocks in forests, index recorded in Thailand?
The lowest recorded value was 98.57 in 2000.
How does Thailand rank for index of carbon stocks in forests, index?
Thailand ranks 82nd out of 196 countries with data for 2023.
Is index of carbon stocks in forests, index rising or falling in Thailand?
Over the last ten years it is down 1.5%. The long-run trend across the full record is rising.
Where does this Thailand data come from?
The figures come from International Monetary Fund, published as part of Index of carbon stocks in forests, Index (Not Applicable). Statizoid updates them automatically from the source API.

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Index of carbon stocks in forests, Index in Thailand. Statizoid, drawing on International Monetary Fund. Retrieved 30 August 2026, from https://climate.statizoid.com/stat/index-of-carbon-stocks-in-forests-index-not-applicable/thailand/

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About this data

Indicator
Index of carbon stocks in forests, Index (Not Applicable)
Source
International Monetary Fund
Licence
IMF Terms and Conditions (attribution required)
Coverage
207 places, 6,590 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.