Micronesia (country) vs Rwanda: Carbon stocks in living biomass (in forests), Millions of Metric
Micronesia (country)
20.49
in 2023
Rwanda
24.08
in 2023
Micronesia (country) rank
138th
Rwanda rank
135th
Carbon stocks in living biomass (in forests), Millions of Metric over time
- Micronesia (country)
- Rwanda
How they compare
Rwanda currently reports 24.08 against 20.49 in Micronesia (country), a difference of 3.59.
That makes Rwanda's figure about 1.2 times Micronesia (country)'s.
Across all 32 years both countries report, Rwanda has been ahead every year.
Micronesia (country) ranks 138th and Rwanda ranks 135th of 198 countries.
Rwanda has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Micronesia (country) | Rwanda | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 20.25 | 25.14 | 4.89 | Rwanda |
| 2000s | 20.33 | 23.55 | 3.23 | Rwanda |
| 2010s | 20.41 | 23.22 | 2.81 | Rwanda |
| 2020s | 20.47 | 23.94 | 3.47 | Rwanda |
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, Micronesia (country) or Rwanda?
- Rwanda, at 24.08 against 20.49 in Micronesia (country) as of 2023.
- What is the difference in carbon stocks in living biomass (in forests), millions of metric between Micronesia (country) and Rwanda?
- 3.59, with Rwanda ahead.
- How many years of comparable data are there for Micronesia (country) and Rwanda?
- 32 years are reported by both, from 1992 to 2023.
- How do Micronesia (country) and Rwanda rank globally for carbon stocks in living biomass (in forests), millions of metric?
- Micronesia (country) ranks 138th and Rwanda ranks 135th 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.