Index of carbon stocks in forests, Index in Burundi

Burundi: Index of carbon stocks in forests, Index was 112.39 in 2023. ▲ Rising

Latest (2023)
112.39
Change on year
unchanged
World rank
67th
of 196 countries
All-time high
112.39
in 2015
All-time low
74.62
in 2000
Years of data
32
1992–2023

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

02550751001992200720231992: 1001993: 96.81994: 93.71995: 90.51996: 87.31997: 84.11998: 811999: 77.82000: 74.62001: 74.62002: 74.62003: 74.62004: 74.62005: 74.62006: 74.62007: 74.62008: 74.62009: 74.62010: 74.62011: 82.22012: 89.72013: 97.32014: 104.82015: 112.42016: 112.42017: 112.42018: 112.42019: 112.42020: 112.42021: 112.42022: 112.42023: 112.4

Source: International Monetary Fund.

Analysis

The most recent figure for index of carbon stocks in forests, index in Burundi is 112.39, measured in 2023. That is the highest value across all 32 years on record.

That represents a change of up 15.5% over ten years.

Over the whole period, index of carbon stocks in forests, index in Burundi peaked at 112.39 in 2015 and was at its lowest, 74.62, in 2000.

That places Burundi 67th out of 196 countries with data for 2023, putting it 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 Burundi, year by year

Annual values for Index of carbon stocks in forests, Index (Not Applicable) in Burundi, 1992 to 2023.
Year Value Change
1992 100
1993 96.83 -3.2%
1994 93.65 -3.3%
1995 90.48 -3.4%
1996 87.31 -3.5%
1997 84.14 -3.6%
1998 80.96 -3.8%
1999 77.79 -3.9%
2000 74.62 -4.1%
2001 74.62 +0.0%
2002 74.62 +0.0%
2003 74.62 +0.0%
2004 74.62 +0.0%
2005 74.62 +0.0%
2006 74.62 +0.0%
2007 74.62 +0.0%
2008 74.62 +0.0%
2009 74.62 +0.0%
2010 74.62 +0.0%
2011 82.17 +10.1%
2012 89.73 +9.2%
2013 97.28 +8.4%
2014 104.83 +7.8%
2015 112.39 +7.2%
2016 112.39 +0.0%
2017 112.39 +0.0%
2018 112.39 +0.0%
2019 112.39 +0.0%
2020 112.39 +0.0%
2021 112.39 +0.0%
2022 112.39 +0.0%
2023 112.39 +0.0%

Averages by decade

DecadeAverage LowestHighest Years
1990s 88.9 77.79 100 8
2000s 74.62 74.62 74.62 10
2010s 101.06 74.62 112.39 10
2020s 112.39 112.39 112.39 4

Countries ranked near Burundi

  1. 64 Switzerland 114.79 compare
  2. 65 Russian Federation 114.75 compare
  3. 66 Reunion 112.79 compare
  4. 68 Guam 112 compare
  5. 69 New Zealand 110.4 compare
  6. 70 Sweden 110.26 compare

See the full ranking of 207 places →

More climate change data for Burundi

All data for Burundi →

Frequently asked questions

What is index of carbon stocks in forests, index in Burundi?
Index of carbon stocks in forests, index in Burundi was 112.39 in 2023, according to International Monetary Fund.
What is the highest index of carbon stocks in forests, index recorded in Burundi?
The highest recorded value was 112.39 in 2015.
What is the lowest index of carbon stocks in forests, index recorded in Burundi?
The lowest recorded value was 74.62 in 2000.
How does Burundi rank for index of carbon stocks in forests, index?
Burundi ranks 67th out of 196 countries with data for 2023.
Is index of carbon stocks in forests, index rising or falling in Burundi?
Over the last ten years it is up 15.5%. The long-run trend across the full record is rising.
Where does this Burundi 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 Burundi. 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/burundi/

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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.