Central African Republic vs Congo: Carbon stocks in living biomass (in forests), Millions of Metric
Central African Republic
2,810
in 2023
Congo
2,922
in 2023
Central African Republic rank
21st
Congo rank
20th
Carbon stocks in living biomass (in forests), Millions of Metric over time
- Central African Republic
- Congo
How they compare
Congo currently reports 2,922 against 2,810 in Central African Republic, a difference of 112.
Across all 32 years both countries report, Congo has been ahead every year.
Central African Republic ranks 21st and Congo ranks 20th of 198 countries.
Congo has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Central African Republic | Congo | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 2,915 | 2,968 | 53.25 | Congo |
| 2000s | 2,881 | 2,954 | 73 | Congo |
| 2010s | 2,843 | 2,937 | 94.83 | Congo |
| 2020s | 2,816 | 2,925 | 108.51 | Congo |
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, Central African Republic or Congo?
- Congo, at 2,922 against 2,810 in Central African Republic as of 2023.
- What is the difference in carbon stocks in living biomass (in forests), millions of metric between Central African Republic and Congo?
- 112, with Congo ahead.
- How many years of comparable data are there for Central African Republic and Congo?
- 32 years are reported by both, from 1992 to 2023.
- How do Central African Republic and Congo rank globally for carbon stocks in living biomass (in forests), millions of metric?
- Central African Republic ranks 21st and Congo ranks 20th 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.