Index of carbon stocks in forests, Index in Cameroon

Cameroon: Index of carbon stocks in forests, Index was 90.38 in 2023. ▼ Falling

Latest (2023)
90.38
Change on year
down 0.3%
World rank
145th
of 196 countries
All-time high
100
in 1992
All-time low
90.38
in 2023
Years of data
32
1992–2023

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

0204060801001992200720231992: 1001993: 99.61994: 99.21995: 98.81996: 98.41997: 981998: 97.61999: 97.22000: 96.82001: 96.52002: 96.12003: 95.82004: 95.52005: 95.22006: 94.92007: 94.62008: 94.32009: 942010: 93.62011: 93.42012: 93.12013: 92.92014: 92.62015: 92.42016: 92.12017: 91.92018: 91.62019: 91.42020: 91.12021: 90.92022: 90.62023: 90.4

Source: International Monetary Fund.

Analysis

Cameroon recorded 90.38 for index of carbon stocks in forests, index in 2023. That is the lowest value across all 32 years on record.

The figure is down 0.3% on the previous year and down 2.7% over ten years.

Over the whole period, index of carbon stocks in forests, index in Cameroon peaked at 100 in 1992 and was at its lowest, 90.38, in 2023.

That places Cameroon 145th out of 196 countries with data for 2023, putting it in the middle of the range.

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

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

Annual values for Index of carbon stocks in forests, Index (Not Applicable) in Cameroon, 1992 to 2023.
Year Value Change
1992 100
1993 99.6 -0.4%
1994 99.19 -0.4%
1995 98.79 -0.4%
1996 98.38 -0.4%
1997 97.98 -0.4%
1998 97.57 -0.4%
1999 97.17 -0.4%
2000 96.77 -0.4%
2001 96.45 -0.3%
2002 96.14 -0.3%
2003 95.83 -0.3%
2004 95.52 -0.3%
2005 95.2 -0.3%
2006 94.89 -0.3%
2007 94.58 -0.3%
2008 94.27 -0.3%
2009 93.95 -0.3%
2010 93.64 -0.3%
2011 93.39 -0.3%
2012 93.14 -0.3%
2013 92.89 -0.3%
2014 92.64 -0.3%
2015 92.39 -0.3%
2016 92.14 -0.3%
2017 91.89 -0.3%
2018 91.64 -0.3%
2019 91.38 -0.3%
2020 91.13 -0.3%
2021 90.88 -0.3%
2022 90.63 -0.3%
2023 90.38 -0.3%

Averages by decade

DecadeAverage LowestHighest Years
1990s 98.58 97.17 100 8
2000s 95.36 93.95 96.77 10
2010s 92.51 91.38 93.64 10
2020s 90.76 90.38 91.13 4

Countries ranked near Cameroon

  1. 142 Sri Lanka 90.81 compare
  2. 143 Colombia 90.75 compare
  3. 144 Honduras 90.65 compare
  4. 146 Equatorial Guinea 90.34 compare
  5. 147 Brazil 88.99 compare
  6. 148 Korea, Democratic People's Republic of 88.97 compare

See the full ranking of 207 places →

More climate change data for Cameroon

All data for Cameroon →

Frequently asked questions

What is index of carbon stocks in forests, index in Cameroon?
Index of carbon stocks in forests, index in Cameroon was 90.38 in 2023, according to International Monetary Fund.
What is the highest index of carbon stocks in forests, index recorded in Cameroon?
The highest recorded value was 100 in 1992.
What is the lowest index of carbon stocks in forests, index recorded in Cameroon?
The lowest recorded value was 90.38 in 2023.
How does Cameroon rank for index of carbon stocks in forests, index?
Cameroon ranks 145th out of 196 countries with data for 2023.
Is index of carbon stocks in forests, index rising or falling in Cameroon?
Over the last ten years it is down 2.7%. The long-run trend across the full record is falling.
Where does this Cameroon 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 Cameroon. Statizoid, drawing on International Monetary Fund. Retrieved 26 August 2026, from https://climate.statizoid.com/stat/index-of-carbon-stocks-in-forests-index-not-applicable/cameroon/

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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.