Lithuania vs Slovakia: Carbon stocks in living biomass (in forests), Millions of Metric
Lithuania
184.67
in 2023
Slovakia
194.98
in 2023
Lithuania rank
91st
Slovakia rank
89th
Carbon stocks in living biomass (in forests), Millions of Metric over time
- Lithuania
- Slovakia
How they compare
Slovakia currently reports 194.98 against 184.67 in Lithuania, a difference of 10.31.
That makes Slovakia's figure about 1.1 times Lithuania's.
Across all 32 years both countries report, Slovakia has been ahead every year.
Lithuania ranks 91st and Slovakia ranks 89th of 198 countries.
Slovakia has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Lithuania | Slovakia | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 140.41 | 148.5 | 8.09 | Slovakia |
| 2000s | 151.49 | 170.41 | 18.93 | Slovakia |
| 2010s | 170.59 | 190.93 | 20.34 | Slovakia |
| 2020s | 182.7 | 194.98 | 12.28 | Slovakia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher carbon stocks in living biomass (in forests), millions of metric, Lithuania or Slovakia?
- Slovakia, at 194.98 against 184.67 in Lithuania as of 2023.
- What is the difference in carbon stocks in living biomass (in forests), millions of metric between Lithuania and Slovakia?
- 10.31, with Slovakia ahead.
- How many years of comparable data are there for Lithuania and Slovakia?
- 32 years are reported by both, from 1992 to 2023.
- How do Lithuania and Slovakia rank globally for carbon stocks in living biomass (in forests), millions of metric?
- Lithuania ranks 91st and Slovakia ranks 89th of 198 countries.
- Where does this data come from?
- International Monetary Fund, published as Carbon stocks in living biomass (in forests), Millions of Metric Tonnes (Not Applicable). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
This dataset provides information on global climate and weather patterns, providing insights into temperature variations, land cover accounts, and shifts in mean sea levels.