Djibouti vs Maldives: Carbon stocks in living biomass (in forests), Millions of Metric
Djibouti
0.3018
in 2023
Maldives
0.0645
in 2023
Djibouti rank
191st
Maldives rank
193rd
Carbon stocks in living biomass (in forests), Millions of Metric over time
- Djibouti
- Maldives
How they compare
Djibouti currently reports 0.3018 against 0.0645 in Maldives, a difference of 0.2373.
That makes Djibouti's figure about 4.7 times Maldives's.
Across all 32 years both countries report, Djibouti has been ahead every year.
Djibouti ranks 191st and Maldives ranks 193rd of 198 countries.
Djibouti has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Djibouti | Maldives | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 0.3018 | 0.0645 | 0.2373 | Djibouti |
| 2000s | 0.3018 | 0.0645 | 0.2373 | Djibouti |
| 2010s | 0.3018 | 0.0645 | 0.2373 | Djibouti |
| 2020s | 0.3018 | 0.0645 | 0.2373 | Djibouti |
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, Djibouti or Maldives?
- Djibouti, at 0.3018 against 0.0645 in Maldives as of 2023.
- What is the difference in carbon stocks in living biomass (in forests), millions of metric between Djibouti and Maldives?
- 0.2373, with Djibouti ahead.
- How many years of comparable data are there for Djibouti and Maldives?
- 32 years are reported by both, from 1992 to 2023.
- How do Djibouti and Maldives rank globally for carbon stocks in living biomass (in forests), millions of metric?
- Djibouti ranks 191st and Maldives ranks 193rd 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.