Hungary vs San Marino: Index of carbon stocks in forests, Index (Not Applicable)

Hungary
130.45
in 2023
San Marino
133.17
in 2023
Hungary rank
42nd
San Marino rank
39th

Index of carbon stocks in forests, Index (Not Applicable) over time

  • Hungary
  • San Marino
050100150199220072023

How they compare

San Marino currently reports 133.17 against 130.45 in Hungary, a difference of 2.72.

Across all 32 years both countries report, San Marino has been ahead every year.

Hungary ranks 42nd and San Marino ranks 39th of 196 countries.

San Marino has averaged higher in every one of the 4 decades both report.

Head to head by decade

Decade Hungary San Marino Difference Ahead
1990s 103.76 105.39 1.63 San Marino
2000s 112.52 118.57 6.05 San Marino
2010s 122.24 131.14 8.9 San Marino
2020s 129.08 133.17 4.1 San Marino

Averages of every year both report within each decade.

Frequently asked questions

Which has higher index of carbon stocks in forests, index, Hungary or San Marino?
San Marino, at 133.17 against 130.45 in Hungary as of 2023.
What is the difference in index of carbon stocks in forests, index between Hungary and San Marino?
2.72, with San Marino ahead.
How many years of comparable data are there for Hungary and San Marino?
32 years are reported by both, from 1992 to 2023.
How do Hungary and San Marino rank globally for index of carbon stocks in forests, index?
Hungary ranks 42nd and San Marino ranks 39th of 196 countries.
Where does this data come from?
International Monetary Fund, published as Index of carbon stocks in forests, Index (Not Applicable). Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Hungary vs San Marino: Index of carbon stocks in forests, Index. Statizoid, drawing on International Monetary Fund. Retrieved 07 November 2026, from https://climate.statizoid.com/compare/index-of-carbon-stocks-in-forests-index-not-applicable/hungary/san-marino/

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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.