Index of carbon stocks in forests, Index in Croatia

Croatia: Index of carbon stocks in forests, Index was 108.2 in 2023. ▲ Rising

Latest (2023)
108.2
Change on year
up 0.5%
World rank
73rd
of 196 countries
All-time high
108.2
in 2023
All-time low
100
in 1992
Years of data
32
1992–2023

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

02550751001992200720231992: 1001993: 100.11994: 100.31995: 100.41996: 100.51997: 100.61998: 100.81999: 100.92000: 1012001: 101.22002: 101.32003: 101.42004: 101.52005: 101.72006: 101.82007: 101.92008: 1022009: 102.22010: 102.32011: 102.52012: 102.72013: 102.92014: 103.22015: 103.42016: 104.52017: 105.12018: 105.62019: 106.12020: 106.62021: 107.22022: 107.72023: 108.2

Source: International Monetary Fund.

Analysis

The most recent figure for index of carbon stocks in forests, index in Croatia is 108.2, measured in 2023. That is the highest value across all 32 years on record.

The figure is up 0.5% on the previous year and up 5.1% over ten years.

Over the whole period, index of carbon stocks in forests, index in Croatia peaked at 108.2 in 2023 and was at its lowest, 100, in 1992.

Croatia ranks 73rd of 196 countries on this measure, 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 Croatia, year by year

Annual values for Index of carbon stocks in forests, Index (Not Applicable) in Croatia, 1992 to 2023.
Year Value Change
1992 100
1993 100.13 +0.1%
1994 100.26 +0.1%
1995 100.39 +0.1%
1996 100.51 +0.1%
1997 100.64 +0.1%
1998 100.77 +0.1%
1999 100.9 +0.1%
2000 101.03 +0.1%
2001 101.15 +0.1%
2002 101.28 +0.1%
2003 101.4 +0.1%
2004 101.53 +0.1%
2005 101.65 +0.1%
2006 101.78 +0.1%
2007 101.9 +0.1%
2008 102.03 +0.1%
2009 102.15 +0.1%
2010 102.28 +0.1%
2011 102.5 +0.2%
2012 102.72 +0.2%
2013 102.95 +0.2%
2014 103.17 +0.2%
2015 103.4 +0.2%
2016 104.47 +1.0%
2017 105.1 +0.6%
2018 105.57 +0.4%
2019 106.1 +0.5%
2020 106.62 +0.5%
2021 107.15 +0.5%
2022 107.68 +0.5%
2023 108.2 +0.5%

Averages by decade

DecadeAverage LowestHighest Years
1990s 100.45 100 100.9 8
2000s 101.59 101.03 102.15 10
2010s 103.83 102.28 106.1 10
2020s 107.41 106.62 108.2 4

Countries ranked near Croatia

  1. 70 Sweden 110.26 compare
  2. 71 Martinique 110.14 compare
  3. 72 Palau 108.36 compare
  4. 74 Bhutan 108.19 compare
  5. 75 Costa Rica 106.44 compare
  6. 76 Eswatini 105.05 compare

See the full ranking of 207 places →

More climate change data for Croatia

All data for Croatia →

Frequently asked questions

What is index of carbon stocks in forests, index in Croatia?
Index of carbon stocks in forests, index in Croatia was 108.2 in 2023, according to International Monetary Fund.
What is the highest index of carbon stocks in forests, index recorded in Croatia?
The highest recorded value was 108.2 in 2023.
What is the lowest index of carbon stocks in forests, index recorded in Croatia?
The lowest recorded value was 100 in 1992.
How does Croatia rank for index of carbon stocks in forests, index?
Croatia ranks 73rd out of 196 countries with data for 2023.
Is index of carbon stocks in forests, index rising or falling in Croatia?
Over the last ten years it is up 5.1%. The long-run trend across the full record is rising.
Where does this Croatia 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 Croatia. 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/croatia/

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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.