Index of carbon stocks in forests, Index in Syria

Syria: Index of carbon stocks in forests, Index was 136.49 in 2023. ▲ Rising

Latest (2023)
136.49
Change on year
up 0.1%
World rank
34th
of 196 countries
All-time high
136.49
in 2023
All-time low
100
in 1992
Years of data
32
1992–2023

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

0501001501992200720231992: 1001993: 101.61994: 103.11995: 104.71996: 106.21997: 107.81998: 109.41999: 110.92000: 112.52001: 114.12002: 115.62003: 117.22004: 118.72005: 120.32006: 121.92007: 123.42008: 1252009: 126.62010: 128.12011: 129.72012: 131.32013: 132.82014: 134.42015: 1362016: 1362017: 135.92018: 1362019: 135.92020: 135.92021: 135.92022: 136.42023: 136.5

Source: International Monetary Fund.

Analysis

The most recent figure for index of carbon stocks in forests, index in Syria is 136.49, measured in 2023. That is the highest value across all 32 years on record.

That represents a change of up 0.1% on the previous year and up 2.8% over ten years.

Over the whole period, index of carbon stocks in forests, index in Syria peaked at 136.49 in 2023 and was at its lowest, 100, in 1992.

Syria ranks 34th of 196 countries on this measure, in the top quarter.

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

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

Annual values for Index of carbon stocks in forests, Index (Not Applicable) in Syria, 1992 to 2023.
Year Value Change
1992 100
1993 101.56 +1.6%
1994 103.12 +1.5%
1995 104.69 +1.5%
1996 106.25 +1.5%
1997 107.81 +1.5%
1998 109.37 +1.4%
1999 110.94 +1.4%
2000 112.5 +1.4%
2001 114.06 +1.4%
2002 115.62 +1.4%
2003 117.18 +1.4%
2004 118.75 +1.3%
2005 120.31 +1.3%
2006 121.87 +1.3%
2007 123.43 +1.3%
2008 125 +1.3%
2009 126.56 +1.2%
2010 128.12 +1.2%
2011 129.69 +1.2%
2012 131.26 +1.2%
2013 132.83 +1.2%
2014 134.4 +1.2%
2015 135.97 +1.2%
2016 135.97 +0.0%
2017 135.93 -0.0%
2018 135.97 +0.0%
2019 135.93 -0.0%
2020 135.93 +0.0%
2021 135.9 -0.0%
2022 136.36 +0.3%
2023 136.49 +0.1%

Averages by decade

DecadeAverage LowestHighest Years
1990s 105.47 100 110.94 8
2000s 119.53 112.5 126.56 10
2010s 133.61 128.12 135.97 10
2020s 136.17 135.9 136.49 4

Countries ranked near Syria

  1. 31 Belgium 142.31 compare
  2. 32 Slovakia 139.4 compare
  3. 33 Germany 138.58 compare
  4. 35 Lithuania 135.45 compare
  5. 36 Serbia and Montenegro 135 compare
  6. 37 Finland 134.43 compare

See the full ranking of 207 places →

More climate change data for Syria

All data for Syria →

Frequently asked questions

What is index of carbon stocks in forests, index in Syria?
Index of carbon stocks in forests, index in Syria was 136.49 in 2023, according to International Monetary Fund.
What is the highest index of carbon stocks in forests, index recorded in Syria?
The highest recorded value was 136.49 in 2023.
What is the lowest index of carbon stocks in forests, index recorded in Syria?
The lowest recorded value was 100 in 1992.
How does Syria rank for index of carbon stocks in forests, index?
Syria ranks 34th out of 196 countries with data for 2023.
Is index of carbon stocks in forests, index rising or falling in Syria?
Over the last ten years it is up 2.8%. The long-run trend across the full record is rising.
Where does this Syria 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 Syria. Statizoid, drawing on International Monetary Fund. Retrieved 02 September 2026, from https://climate.statizoid.com/stat/index-of-carbon-stocks-in-forests-index-not-applicable/syrian-arab-republic/

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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.