Index of carbon stocks in forests, Index in Nepal

Nepal: Index of carbon stocks in forests, Index was 104.71 in 2023. ▲ Rising

Latest (2023)
104.71
Change on year
unchanged
World rank
77th
of 196 countries
All-time high
104.71
in 2010
All-time low
100
in 1992
Years of data
32
1992–2023

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

02550751001992200720231992: 1001993: 100.21994: 100.41995: 100.61996: 100.81997: 1011998: 101.11999: 101.32000: 101.52001: 101.82002: 102.22003: 102.52004: 102.82005: 103.12006: 103.42007: 103.82008: 104.12009: 104.42010: 104.72011: 104.72012: 104.72013: 104.72014: 104.72015: 104.72016: 104.72017: 104.72018: 104.72019: 104.72020: 104.72021: 104.72022: 104.72023: 104.7

Source: International Monetary Fund.

Analysis

The most recent figure for index of carbon stocks in forests, index in Nepal is 104.71, measured in 2023. That is the highest value across all 32 years on record.

That represents a change of unchanged over ten years.

Over the whole period, index of carbon stocks in forests, index in Nepal peaked at 104.71 in 2010 and was at its lowest, 100, in 1992.

That places Nepal 77th 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 Nepal, year by year

Annual values for Index of carbon stocks in forests, Index (Not Applicable) in Nepal, 1992 to 2023.
Year Value Change
1992 100
1993 100.19 +0.2%
1994 100.38 +0.2%
1995 100.57 +0.2%
1996 100.76 +0.2%
1997 100.95 +0.2%
1998 101.15 +0.2%
1999 101.34 +0.2%
2000 101.53 +0.2%
2001 101.85 +0.3%
2002 102.17 +0.3%
2003 102.48 +0.3%
2004 102.8 +0.3%
2005 103.12 +0.3%
2006 103.44 +0.3%
2007 103.76 +0.3%
2008 104.08 +0.3%
2009 104.39 +0.3%
2010 104.71 +0.3%
2011 104.71 +0.0%
2012 104.71 +0.0%
2013 104.71 +0.0%
2014 104.71 +0.0%
2015 104.71 +0.0%
2016 104.71 +0.0%
2017 104.71 +0.0%
2018 104.71 +0.0%
2019 104.71 +0.0%
2020 104.71 +0.0%
2021 104.71 +0.0%
2022 104.71 +0.0%
2023 104.71 +0.0%

Averages by decade

DecadeAverage LowestHighest Years
1990s 100.67 100 101.34 8
2000s 102.96 101.53 104.39 10
2010s 104.71 104.71 104.71 10
2020s 104.71 104.71 104.71 4

Countries ranked near Nepal

  1. 74 Bhutan 108.19 compare
  2. 75 Costa Rica 106.44 compare
  3. 76 Eswatini 105.05 compare
  4. 78 Lebanon 104.63 compare
  5. 79 Mexico 104.29 compare
  6. 80 Turkmenistan 104.03 compare

See the full ranking of 207 places →

More climate change data for Nepal

All data for Nepal →

Frequently asked questions

What is index of carbon stocks in forests, index in Nepal?
Index of carbon stocks in forests, index in Nepal was 104.71 in 2023, according to International Monetary Fund.
What is the highest index of carbon stocks in forests, index recorded in Nepal?
The highest recorded value was 104.71 in 2010.
What is the lowest index of carbon stocks in forests, index recorded in Nepal?
The lowest recorded value was 100 in 1992.
How does Nepal rank for index of carbon stocks in forests, index?
Nepal ranks 77th out of 196 countries with data for 2023.
Is index of carbon stocks in forests, index rising or falling in Nepal?
Over the last ten years it is unchanged. The long-run trend across the full record is rising.
Where does this Nepal 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 Nepal. Statizoid, drawing on International Monetary Fund. Retrieved 27 August 2026, from https://climate.statizoid.com/stat/index-of-carbon-stocks-in-forests-index-not-applicable/nepal/

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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.