Index of carbon stocks in forests, Index in Argentina

Argentina: Index of carbon stocks in forests, Index was 86.67 in 2023. ▼ Falling

Latest (2023)
86.67
Change on year
down 0.2%
World rank
157th
of 196 countries
All-time high
100
in 1992
All-time low
86.67
in 2023
Years of data
32
1992–2023

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

0204060801001992200720231992: 1001993: 99.71994: 99.41995: 99.11996: 98.81997: 98.41998: 98.11999: 97.82000: 97.52001: 96.82002: 96.12003: 95.52004: 94.82005: 94.12006: 93.42007: 92.72008: 922009: 91.32010: 90.62011: 90.22012: 89.72013: 89.22014: 88.82015: 88.32016: 88.12017: 87.92018: 87.72019: 87.52020: 87.32021: 87.12022: 86.92023: 86.7

Source: International Monetary Fund.

Analysis

In 2023, index of carbon stocks in forests, index in Argentina stood at 86.67. That is the lowest value across all 32 years on record.

Compared with earlier readings it is down 0.2% on the previous year and down 2.9% over ten years.

Over the whole period, index of carbon stocks in forests, index in Argentina peaked at 100 in 1992 and was at its lowest, 86.67, in 2023.

Argentina ranks 157th of 196 countries on this measure, in the bottom quarter.

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

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

Annual values for Index of carbon stocks in forests, Index (Not Applicable) in Argentina, 1992 to 2023.
Year Value Change
1992 100
1993 99.69 -0.3%
1994 99.38 -0.3%
1995 99.07 -0.3%
1996 98.76 -0.3%
1997 98.45 -0.3%
1998 98.14 -0.3%
1999 97.83 -0.3%
2000 97.52 -0.3%
2001 96.83 -0.7%
2002 96.14 -0.7%
2003 95.45 -0.7%
2004 94.77 -0.7%
2005 94.08 -0.7%
2006 93.39 -0.7%
2007 92.7 -0.7%
2008 92.01 -0.7%
2009 91.33 -0.7%
2010 90.64 -0.8%
2011 90.17 -0.5%
2012 89.7 -0.5%
2013 89.23 -0.5%
2014 88.76 -0.5%
2015 88.29 -0.5%
2016 88.13 -0.2%
2017 87.92 -0.2%
2018 87.7 -0.2%
2019 87.51 -0.2%
2020 87.29 -0.3%
2021 87.07 -0.3%
2022 86.88 -0.2%
2023 86.67 -0.2%

Averages by decade

DecadeAverage LowestHighest Years
1990s 98.91 97.83 100 8
2000s 94.42 91.33 97.52 10
2010s 88.81 87.51 90.64 10
2020s 86.98 86.67 87.29 4

Countries ranked near Argentina

  1. 154 Haiti 87.63 compare
  2. 155 Liechtenstein 87.56 compare
  3. 156 Mauritania 87.52 compare
  4. 158 Ethiopia 85.84 compare
  5. 159 Sao Tome and Principe 85.44 compare
  6. 160 Indonesia 85.3 compare

See the full ranking of 207 places →

More climate change data for Argentina

All data for Argentina →

Frequently asked questions

What is index of carbon stocks in forests, index in Argentina?
Index of carbon stocks in forests, index in Argentina was 86.67 in 2023, according to International Monetary Fund.
What is the highest index of carbon stocks in forests, index recorded in Argentina?
The highest recorded value was 100 in 1992.
What is the lowest index of carbon stocks in forests, index recorded in Argentina?
The lowest recorded value was 86.67 in 2023.
How does Argentina rank for index of carbon stocks in forests, index?
Argentina ranks 157th out of 196 countries with data for 2023.
Is index of carbon stocks in forests, index rising or falling in Argentina?
Over the last ten years it is down 2.9%. The long-run trend across the full record is falling.
Where does this Argentina 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 Argentina. Statizoid, drawing on International Monetary Fund. Retrieved 29 August 2026, from https://climate.statizoid.com/stat/index-of-carbon-stocks-in-forests-index-not-applicable/argentina/

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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.