Euro Area (EA) vs South Korea: Index of carbon stocks in forests, Index (Not Applicable)
Euro Area (EA)
120.66
in 2020
South Korea
368.6
in 2023
Euro Area (EA) rank
2nd
South Korea rank
2nd
Index of carbon stocks in forests, Index (Not Applicable) over time
- Euro Area (EA)
- South Korea
How they compare
South Korea currently reports 368.6 against 120.66 in Euro Area (EA), a difference of 247.94.
That makes South Korea's figure about 3.1 times Euro Area (EA)'s.
Across all 29 years both countries report, South Korea has been ahead every year.
Euro Area (EA) ranks 2nd and South Korea ranks 2nd of 9 groups.
South Korea has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Euro Area (EA) | South Korea | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 102.54 | 125.68 | 23.14 | South Korea |
| 2000s | 108.82 | 205.45 | 96.63 | South Korea |
| 2010s | 116.98 | 301.44 | 184.46 | South Korea |
| 2020s | 120.66 | 345.81 | 225.15 | South Korea |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher index of carbon stocks in forests, index, Euro Area (EA) or South Korea?
- South Korea, at 368.6 against 120.66 in Euro Area (EA) as of 2023.
- What is the difference in index of carbon stocks in forests, index between Euro Area (EA) and South Korea?
- 247.94, with South Korea ahead.
- How many years of comparable data are there for Euro Area (EA) and South Korea?
- 29 years are reported by both, from 1992 to 2020.
- How do Euro Area (EA) and South Korea rank globally for index of carbon stocks in forests, index?
- Euro Area (EA) ranks 2nd and South Korea ranks 2nd of 9 groups.
- 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.
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.