Guinea vs Mongolia: Carbon stocks in living biomass (in forests), Millions of Metric
Guinea
464.04
in 2023
Mongolia
534.19
in 2023
Guinea rank
64th
Mongolia rank
61st
Carbon stocks in living biomass (in forests), Millions of Metric over time
- Guinea
- Mongolia
How they compare
Mongolia currently reports 534.19 against 464.04 in Guinea, a difference of 70.15.
That makes Mongolia's figure about 1.2 times Guinea's.
The two have swapped places 1 time across 32 shared years of data; in 1992 it was Guinea ahead.
Guinea ranks 64th and Mongolia ranks 61st of 198 countries.
Across the 4 decades both report, Guinea averaged higher in 1 and Mongolia in 3.
Head to head by decade
| Decade | Guinea | Mongolia | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 542.15 | 539.24 | 2.91 | Guinea |
| 2000s | 517.68 | 536.39 | 18.71 | Mongolia |
| 2010s | 489.66 | 534.54 | 44.88 | Mongolia |
| 2020s | 468.62 | 534.25 | 65.63 | Mongolia |
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, Guinea or Mongolia?
- Mongolia, at 534.19 against 464.04 in Guinea as of 2023.
- What is the difference in carbon stocks in living biomass (in forests), millions of metric between Guinea and Mongolia?
- 70.15, with Mongolia ahead.
- How many years of comparable data are there for Guinea and Mongolia?
- 32 years are reported by both, from 1992 to 2023.
- How do Guinea and Mongolia rank globally for carbon stocks in living biomass (in forests), millions of metric?
- Guinea ranks 64th 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.