Martinique vs Mauritania: Carbon stocks in living biomass (in forests), Millions of Metric
Martinique
9.52
in 2023
Mauritania
10.45
in 2023
Martinique rank
154th
Mauritania rank
153rd
Carbon stocks in living biomass (in forests), Millions of Metric over time
- Martinique
- Mauritania
How they compare
Mauritania currently reports 10.45 against 9.52 in Martinique, a difference of 0.93.
That makes Mauritania's figure about 1.1 times Martinique's.
Across all 32 years both countries report, Mauritania has been ahead every year.
Martinique ranks 154th and Mauritania ranks 153rd of 198 countries.
Mauritania has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Martinique | Mauritania | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 8.7 | 11.56 | 2.86 | Mauritania |
| 2000s | 8.9 | 10.59 | 1.69 | Mauritania |
| 2010s | 9.21 | 10.36 | 1.15 | Mauritania |
| 2020s | 9.47 | 10.69 | 1.22 | Mauritania |
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, Martinique or Mauritania?
- Mauritania, at 10.45 against 9.52 in Martinique as of 2023.
- What is the difference in carbon stocks in living biomass (in forests), millions of metric between Martinique and Mauritania?
- 0.93, with Mauritania ahead.
- How many years of comparable data are there for Martinique and Mauritania?
- 32 years are reported by both, from 1992 to 2023.
- How do Martinique and Mauritania rank globally for carbon stocks in living biomass (in forests), millions of metric?
- Martinique ranks 154th and Mauritania ranks 153rd 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.