Index of carbon stocks in forests, Index in Montenegro

Montenegro: Index of carbon stocks in forests, Index was 156.38 in 2023. ▲ Rising

Latest (2023)
156.38
Change on year
unchanged
World rank
23rd
of 196 countries
All-time high
156.38
in 2010
All-time low
100
in 1992
Years of data
32
1992–2023

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

0501001501992200720231992: 1001993: 100.51994: 1011995: 101.51996: 1021997: 102.61998: 103.11999: 103.62000: 104.12001: 110.32002: 116.52003: 122.62004: 128.82005: 1352006: 141.22007: 1452008: 148.82009: 152.62010: 156.42011: 156.42012: 156.42013: 156.42014: 156.42015: 156.42016: 156.42017: 156.42018: 156.42019: 156.42020: 156.42021: 156.42022: 156.42023: 156.4

Source: International Monetary Fund.

Analysis

In 2023, index of carbon stocks in forests, index in Montenegro stood at 156.38. 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 Montenegro peaked at 156.38 in 2010 and was at its lowest, 100, in 1992.

Montenegro ranks 23rd of 196 countries on this measure, 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 Montenegro, year by year

Annual values for Index of carbon stocks in forests, Index (Not Applicable) in Montenegro, 1992 to 2023.
Year Value Change
1992 100
1993 100.51 +0.5%
1994 101.02 +0.5%
1995 101.53 +0.5%
1996 102.04 +0.5%
1997 102.55 +0.5%
1998 103.06 +0.5%
1999 103.58 +0.5%
2000 104.09 +0.5%
2001 110.27 +5.9%
2002 116.45 +5.6%
2003 122.63 +5.3%
2004 128.82 +5.0%
2005 135 +4.8%
2006 141.18 +4.6%
2007 144.98 +2.7%
2008 148.78 +2.6%
2009 152.58 +2.6%
2010 156.38 +2.5%
2011 156.38 +0.0%
2012 156.38 +0.0%
2013 156.38 +0.0%
2014 156.38 +0.0%
2015 156.38 +0.0%
2016 156.38 +0.0%
2017 156.38 +0.0%
2018 156.38 +0.0%
2019 156.38 +0.0%
2020 156.38 +0.0%
2021 156.38 +0.0%
2022 156.38 +0.0%
2023 156.38 +0.0%

Averages by decade

DecadeAverage LowestHighest Years
1990s 101.79 100 103.58 8
2000s 130.48 104.09 152.58 10
2010s 156.38 156.38 156.38 10
2020s 156.38 156.38 156.38 4

Countries ranked near Montenegro

  1. 20 Ukraine 157.79 compare
  2. 21 Viet Nam 157.74 compare
  3. 22 Uzbekistan 157.03 compare
  4. 24 Cuba 151.62 compare
  5. 25 Norway 150.93 compare
  6. 26 France 150.77 compare

See the full ranking of 207 places →

More climate change data for Montenegro

All data for Montenegro →

Frequently asked questions

What is index of carbon stocks in forests, index in Montenegro?
Index of carbon stocks in forests, index in Montenegro was 156.38 in 2023, according to International Monetary Fund.
What is the highest index of carbon stocks in forests, index recorded in Montenegro?
The highest recorded value was 156.38 in 2010.
What is the lowest index of carbon stocks in forests, index recorded in Montenegro?
The lowest recorded value was 100 in 1992.
How does Montenegro rank for index of carbon stocks in forests, index?
Montenegro ranks 23rd out of 196 countries with data for 2023.
Is index of carbon stocks in forests, index rising or falling in Montenegro?
Over the last ten years it is unchanged. The long-run trend across the full record is rising.
Where does this Montenegro 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 Montenegro. 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/montenegro/

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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.