Costa Rica vs Somalia: Carbon stocks in living biomass (in forests), Millions of Metric
Costa Rica
382.41
in 2023
Somalia
354.53
in 2023
Costa Rica rank
71st
Somalia rank
74th
Carbon stocks in living biomass (in forests), Millions of Metric over time
- Costa Rica
- Somalia
How they compare
Costa Rica currently reports 382.41 against 354.53 in Somalia, a difference of 27.88.
That makes Costa Rica's figure about 1.1 times Somalia's.
The two have swapped places 1 time across 32 shared years of data; in 1992 it was Somalia ahead.
Costa Rica ranks 71st and Somalia ranks 74th of 198 countries.
Across the 4 decades both report, Costa Rica averaged higher in 1 and Somalia in 3.
Head to head by decade
| Decade | Costa Rica | Somalia | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 357.1 | 484.67 | 127.58 | Somalia |
| 2000s | 355.08 | 442.08 | 87 | Somalia |
| 2010s | 365.16 | 394.75 | 29.59 | Somalia |
| 2020s | 379.37 | 361.63 | 17.74 | Costa Rica |
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, Costa Rica or Somalia?
- Costa Rica, at 382.41 against 354.53 in Somalia as of 2023.
- What is the difference in carbon stocks in living biomass (in forests), millions of metric between Costa Rica and Somalia?
- 27.88, with Costa Rica ahead.
- How many years of comparable data are there for Costa Rica and Somalia?
- 32 years are reported by both, from 1992 to 2023.
- How do Costa Rica and Somalia rank globally for carbon stocks in living biomass (in forests), millions of metric?
- Costa Rica ranks 71st and Somalia ranks 74th 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.