Index of carbon stocks in forests, Index in Turkmenistan

Turkmenistan: Index of carbon stocks in forests, Index was 104.03 in 2023. ▲ Rising

Latest (2023)
104.03
Change on year
unchanged
World rank
80th
of 196 countries
All-time high
104.03
in 2010
All-time low
100
in 1992
Years of data
32
1992–2023

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

02550751001992200720231992: 1001993: 1001994: 1001995: 1001996: 1001997: 1001998: 1001999: 1002000: 1002001: 100.42002: 100.82003: 101.22004: 101.62005: 1022006: 102.42007: 102.82008: 103.22009: 103.62010: 1042011: 1042012: 1042013: 1042014: 1042015: 1042016: 1042017: 1042018: 1042019: 1042020: 1042021: 1042022: 1042023: 104

Source: International Monetary Fund.

Analysis

Turkmenistan recorded 104.03 for index of carbon stocks in forests, index in 2023. That is the highest value across all 32 years on record.

Compared with earlier readings it is unchanged over ten years.

Over the whole period, index of carbon stocks in forests, index in Turkmenistan peaked at 104.03 in 2010 and was at its lowest, 100, in 1992.

Turkmenistan ranks 80th 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 Turkmenistan, year by year

Annual values for Index of carbon stocks in forests, Index (Not Applicable) in Turkmenistan, 1992 to 2023.
Year Value Change
1992 100
1993 100 +0.0%
1994 100 +0.0%
1995 100 +0.0%
1996 100 +0.0%
1997 100 +0.0%
1998 100 +0.0%
1999 100 +0.0%
2000 100 +0.0%
2001 100.4 +0.4%
2002 100.81 +0.4%
2003 101.21 +0.4%
2004 101.61 +0.4%
2005 102.02 +0.4%
2006 102.42 +0.4%
2007 102.82 +0.4%
2008 103.22 +0.4%
2009 103.63 +0.4%
2010 104.03 +0.4%
2011 104.03 +0.0%
2012 104.03 +0.0%
2013 104.03 +0.0%
2014 104.03 +0.0%
2015 104.03 +0.0%
2016 104.03 +0.0%
2017 104.03 +0.0%
2018 104.03 +0.0%
2019 104.03 +0.0%
2020 104.03 +0.0%
2021 104.03 +0.0%
2022 104.03 +0.0%
2023 104.03 +0.0%

Averages by decade

DecadeAverage LowestHighest Years
1990s 100 100 100 8
2000s 101.81 100 103.63 10
2010s 104.03 104.03 104.03 10
2020s 104.03 104.03 104.03 4

Countries ranked near Turkmenistan

  1. 77 Nepal 104.71 compare
  2. 78 Lebanon 104.63 compare
  3. 79 Mexico 104.29 compare
  4. 81 Israel 103.74 compare
  5. 82 Thailand 103.03 compare
  6. 83 Saint Vincent and the Grenadines 102.88 compare

See the full ranking of 207 places →

More climate change data for Turkmenistan

All data for Turkmenistan →

Frequently asked questions

What is index of carbon stocks in forests, index in Turkmenistan?
Index of carbon stocks in forests, index in Turkmenistan was 104.03 in 2023, according to International Monetary Fund.
What is the highest index of carbon stocks in forests, index recorded in Turkmenistan?
The highest recorded value was 104.03 in 2010.
What is the lowest index of carbon stocks in forests, index recorded in Turkmenistan?
The lowest recorded value was 100 in 1992.
How does Turkmenistan rank for index of carbon stocks in forests, index?
Turkmenistan ranks 80th out of 196 countries with data for 2023.
Is index of carbon stocks in forests, index rising or falling in Turkmenistan?
Over the last ten years it is unchanged. The long-run trend across the full record is rising.
Where does this Turkmenistan 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 Turkmenistan. Statizoid, drawing on International Monetary Fund. Retrieved 02 September 2026, from https://climate.statizoid.com/stat/index-of-carbon-stocks-in-forests-index-not-applicable/turkmenistan/

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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.