El Salvador vs Tunisia: Carbon stocks in living biomass (in forests), Millions of Metric
El Salvador
37.37
in 2023
Tunisia
25.89
in 2023
El Salvador rank
129th
Tunisia rank
132nd
Carbon stocks in living biomass (in forests), Millions of Metric over time
- El Salvador
- Tunisia
How they compare
El Salvador currently reports 37.37 against 25.89 in Tunisia, a difference of 11.48.
That makes El Salvador's figure about 1.4 times Tunisia's.
Across all 32 years both countries report, El Salvador has been ahead every year.
El Salvador ranks 129th and Tunisia ranks 132nd of 198 countries.
El Salvador has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | El Salvador | Tunisia | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 45.48 | 21.37 | 24.11 | El Salvador |
| 2000s | 42.83 | 24.1 | 18.73 | El Salvador |
| 2010s | 39.88 | 24.43 | 15.44 | El Salvador |
| 2020s | 37.81 | 25.91 | 11.9 | El Salvador |
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, El Salvador or Tunisia?
- El Salvador, at 37.37 against 25.89 in Tunisia as of 2023.
- What is the difference in carbon stocks in living biomass (in forests), millions of metric between El Salvador and Tunisia?
- 11.48, with El Salvador ahead.
- How many years of comparable data are there for El Salvador and Tunisia?
- 32 years are reported by both, from 1992 to 2023.
- How do El Salvador and Tunisia rank globally for carbon stocks in living biomass (in forests), millions of metric?
- El Salvador ranks 129th and Tunisia ranks 132nd 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.