Index of carbon stocks in forests, Index in Lithuania

Lithuania: Index of carbon stocks in forests, Index was 135.45 in 2023. ▲ Rising

Latest (2023)
135.45
Change on year
up 0.7%
World rank
35th
of 196 countries
All-time high
135.45
in 2023
All-time low
100
in 1992
Years of data
32
1992–2023

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

0501001501992200720231992: 1001993: 100.91994: 101.71995: 102.61996: 103.41997: 104.31998: 105.11999: 1062000: 106.82001: 107.82002: 108.72003: 109.72004: 110.62005: 111.62006: 112.52007: 113.52008: 114.42009: 115.42010: 116.32011: 118.52012: 120.72013: 122.92014: 1252015: 127.22016: 128.72017: 129.72018: 130.62019: 131.72020: 132.52021: 133.62022: 134.52023: 135.5

Source: International Monetary Fund.

Analysis

The most recent figure for index of carbon stocks in forests, index in Lithuania is 135.45, measured in 2023. That is the highest value across all 32 years on record.

That represents a change of up 0.7% on the previous year and up 10.2% over ten years.

Over the whole period, index of carbon stocks in forests, index in Lithuania peaked at 135.45 in 2023 and was at its lowest, 100, in 1992.

That places Lithuania 35th out of 196 countries with data for 2023, putting it in the top quarter.

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

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

Annual values for Index of carbon stocks in forests, Index (Not Applicable) in Lithuania, 1992 to 2023.
Year Value Change
1992 100
1993 100.85 +0.9%
1994 101.71 +0.8%
1995 102.56 +0.8%
1996 103.41 +0.8%
1997 104.27 +0.8%
1998 105.12 +0.8%
1999 105.97 +0.8%
2000 106.83 +0.8%
2001 107.78 +0.9%
2002 108.73 +0.9%
2003 109.68 +0.9%
2004 110.64 +0.9%
2005 111.59 +0.9%
2006 112.54 +0.9%
2007 113.49 +0.8%
2008 114.44 +0.8%
2009 115.4 +0.8%
2010 116.35 +0.8%
2011 118.52 +1.9%
2012 120.69 +1.8%
2013 122.86 +1.8%
2014 125.03 +1.8%
2015 127.21 +1.7%
2016 128.67 +1.1%
2017 129.66 +0.8%
2018 130.59 +0.7%
2019 131.67 +0.8%
2020 132.54 +0.7%
2021 133.56 +0.8%
2022 134.47 +0.7%
2023 135.45 +0.7%

Averages by decade

DecadeAverage LowestHighest Years
1990s 102.99 100 105.97 8
2000s 111.11 106.83 115.4 10
2010s 125.13 116.35 131.67 10
2020s 134 132.54 135.45 4

Countries ranked near Lithuania

  1. 32 Slovakia 139.4 compare
  2. 33 Germany 138.58 compare
  3. 34 Syrian Arab Republic 136.49 compare
  4. 36 Serbia and Montenegro 135 compare
  5. 37 Finland 134.43 compare
  6. 38 Spain 133.43 compare

See the full ranking of 207 places →

More climate change data for Lithuania

All data for Lithuania →

Frequently asked questions

What is index of carbon stocks in forests, index in Lithuania?
Index of carbon stocks in forests, index in Lithuania was 135.45 in 2023, according to International Monetary Fund.
What is the highest index of carbon stocks in forests, index recorded in Lithuania?
The highest recorded value was 135.45 in 2023.
What is the lowest index of carbon stocks in forests, index recorded in Lithuania?
The lowest recorded value was 100 in 1992.
How does Lithuania rank for index of carbon stocks in forests, index?
Lithuania ranks 35th out of 196 countries with data for 2023.
Is index of carbon stocks in forests, index rising or falling in Lithuania?
Over the last ten years it is up 10.2%. The long-run trend across the full record is rising.
Where does this Lithuania 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 Lithuania. Statizoid, drawing on International Monetary Fund. Retrieved 25 August 2026, from https://climate.statizoid.com/stat/index-of-carbon-stocks-in-forests-index-not-applicable/lithuania/

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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.