South Korea vs Mongolia: Carbon stocks in living biomass (in forests), Millions of Metric
South Korea
581.54
in 2023
Mongolia
534.19
in 2023
South Korea rank
59th
Mongolia rank
61st
Carbon stocks in living biomass (in forests), Millions of Metric over time
- South Korea
- Mongolia
How they compare
South Korea currently reports 581.54 against 534.19 in Mongolia, a difference of 47.35.
That makes South Korea's figure about 1.1 times Mongolia's.
The two have swapped places 1 time across 32 shared years of data; in 1992 it was Mongolia ahead.
South Korea ranks 59th and Mongolia ranks 61st of 198 countries.
Across the 4 decades both report, South Korea averaged higher in 1 and Mongolia in 3.
Head to head by decade
| Decade | South Korea | Mongolia | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 198.28 | 539.24 | 340.96 | Mongolia |
| 2000s | 324.15 | 536.39 | 212.25 | Mongolia |
| 2010s | 475.59 | 534.54 | 58.96 | Mongolia |
| 2020s | 563.58 | 534.25 | 29.33 | South Korea |
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, South Korea or Mongolia?
- South Korea, at 581.54 against 534.19 in Mongolia as of 2023.
- What is the difference in carbon stocks in living biomass (in forests), millions of metric between South Korea and Mongolia?
- 47.35, with South Korea ahead.
- How many years of comparable data are there for South Korea and Mongolia?
- 32 years are reported by both, from 1992 to 2023.
- How do South Korea and Mongolia rank globally for carbon stocks in living biomass (in forests), millions of metric?
- South Korea ranks 59th and Mongolia ranks 61st 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.