Guam vs Sweden: Index of carbon stocks in forests, Index (Not Applicable)

Guam
112
in 2023
Sweden
110.26
in 2023
Guam rank
68th
Sweden rank
70th

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

  • Guam
  • Sweden
0255075100199220072023

How they compare

Guam currently reports 112 against 110.26 in Sweden, a difference of 1.74.

The two have swapped places 1 time across 32 shared years of data; in 1992 it was Sweden ahead.

Guam ranks 68th and Sweden ranks 70th of 196 countries.

Across the 4 decades both report, Guam averaged higher in 1 and Sweden in 3.

Head to head by decade

Decade Guam Sweden Difference Ahead
1990s 100 100.12 0.1246 Sweden
2000s 100 101.78 1.78 Sweden
2010s 104.8 106.12 1.32 Sweden
2020s 112 109.56 2.44 Guam

Averages of every year both report within each decade.

Frequently asked questions

Which has higher index of carbon stocks in forests, index, Guam or Sweden?
Guam, at 112 against 110.26 in Sweden as of 2023.
What is the difference in index of carbon stocks in forests, index between Guam and Sweden?
1.74, with Guam ahead.
How many years of comparable data are there for Guam and Sweden?
32 years are reported by both, from 1992 to 2023.
How do Guam and Sweden rank globally for index of carbon stocks in forests, index?
Guam ranks 68th and Sweden ranks 70th 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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Guam vs Sweden: 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/guam/sweden/

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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.