Dominican Republic vs Tunisia: Index of carbon stocks in forests, Index (Not Applicable)
Dominican Republic
129.81
in 2023
Tunisia
126.34
in 2023
Dominican Republic rank
45th
Tunisia rank
48th
Index of carbon stocks in forests, Index (Not Applicable) over time
- Dominican Republic
- Tunisia
How they compare
Dominican Republic currently reports 129.81 against 126.34 in Tunisia, a difference of 3.47.
The two have swapped places 5 times across 32 shared years of data; in 1992 it was Tunisia ahead.
Dominican Republic ranks 45th and Tunisia ranks 48th of 196 countries.
Dominican Republic has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Dominican Republic | Tunisia | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 107.91 | 104.28 | 3.63 | Dominican Republic |
| 2000s | 120.79 | 117.61 | 3.18 | Dominican Republic |
| 2010s | 125.87 | 119.24 | 6.63 | Dominican Republic |
| 2020s | 129.08 | 126.45 | 2.63 | Dominican Republic |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher index of carbon stocks in forests, index, Dominican Republic or Tunisia?
- Dominican Republic, at 129.81 against 126.34 in Tunisia as of 2023.
- What is the difference in index of carbon stocks in forests, index between Dominican Republic and Tunisia?
- 3.47, with Dominican Republic ahead.
- How many years of comparable data are there for Dominican Republic and Tunisia?
- 32 years are reported by both, from 1992 to 2023.
- How do Dominican Republic and Tunisia rank globally for index of carbon stocks in forests, index?
- Dominican Republic ranks 45th and Tunisia ranks 48th of 196 countries.
- Where does this data come from?
- International Monetary Fund, published as Index of carbon stocks in forests, Index (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.