Cote d'Ivoire vs Morocco: Carbon stocks in living biomass (in forests), Millions of Metric
Cote d'Ivoire
142.76
in 2023
Morocco
151.36
in 2023
Cote d'Ivoire rank
102nd
Morocco rank
101st
Carbon stocks in living biomass (in forests), Millions of Metric over time
- Cote d'Ivoire
- Morocco
How they compare
Morocco currently reports 151.36 against 142.76 in Cote d'Ivoire, a difference of 8.6.
That makes Morocco's figure about 1.1 times Cote d'Ivoire's.
The two have swapped places 1 time across 32 shared years of data; in 1992 it was Cote d'Ivoire ahead.
Cote d'Ivoire ranks 102nd and Morocco ranks 101st of 198 countries.
Cote d'Ivoire has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Cote d'Ivoire | Morocco | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 362.04 | 126.81 | 235.22 | Cote d'Ivoire |
| 2000s | 262.12 | 138.37 | 123.75 | Cote d'Ivoire |
| 2010s | 197.6 | 147.05 | 50.55 | Cote d'Ivoire |
| 2020s | 152.44 | 150.56 | 1.88 | Cote d'Ivoire |
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, Cote d'Ivoire or Morocco?
- Morocco, at 151.36 against 142.76 in Cote d'Ivoire as of 2023.
- What is the difference in carbon stocks in living biomass (in forests), millions of metric between Cote d'Ivoire and Morocco?
- 8.6, with Morocco ahead.
- How many years of comparable data are there for Cote d'Ivoire and Morocco?
- 32 years are reported by both, from 1992 to 2023.
- How do Cote d'Ivoire and Morocco rank globally for carbon stocks in living biomass (in forests), millions of metric?
- Cote d'Ivoire ranks 102nd and Morocco ranks 101st 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.