Kazakhstan vs Lithuania: Carbon stocks in living biomass (in forests), Millions of Metric
Kazakhstan
172.74
in 2023
Lithuania
184.67
in 2023
Kazakhstan rank
94th
Lithuania rank
91st
Carbon stocks in living biomass (in forests), Millions of Metric over time
- Kazakhstan
- Lithuania
How they compare
Lithuania currently reports 184.67 against 172.74 in Kazakhstan, a difference of 11.93.
That makes Lithuania's figure about 1.1 times Kazakhstan's.
The two have swapped places 1 time across 32 shared years of data; in 1992 it was Kazakhstan ahead.
Kazakhstan ranks 94th and Lithuania ranks 91st of 198 countries.
Across the 4 decades both report, Kazakhstan averaged higher in 2 and Lithuania in 2.
Head to head by decade
| Decade | Kazakhstan | Lithuania | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 150.08 | 140.41 | 9.67 | Kazakhstan |
| 2000s | 152.95 | 151.49 | 1.46 | Kazakhstan |
| 2010s | 165.44 | 170.59 | 5.15 | Lithuania |
| 2020s | 172.74 | 182.7 | 9.96 | Lithuania |
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, Kazakhstan or Lithuania?
- Lithuania, at 184.67 against 172.74 in Kazakhstan as of 2023.
- What is the difference in carbon stocks in living biomass (in forests), millions of metric between Kazakhstan and Lithuania?
- 11.93, with Lithuania ahead.
- How many years of comparable data are there for Kazakhstan and Lithuania?
- 32 years are reported by both, from 1992 to 2023.
- How do Kazakhstan and Lithuania rank globally for carbon stocks in living biomass (in forests), millions of metric?
- Kazakhstan ranks 94th and Lithuania ranks 91st 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.