American Samoa vs Dominican Republic: Index of carbon stocks in forests, Index (Not Applicable)
American Samoa
130.03
in 2023
Dominican Republic
129.81
in 2023
American Samoa rank
44th
Dominican Republic rank
45th
Index of carbon stocks in forests, Index (Not Applicable) over time
- American Samoa
- Dominican Republic
How they compare
American Samoa currently reports 130.03 against 129.81 in Dominican Republic, a difference of 0.22.
The two have swapped places 1 time across 32 shared years of data; in 1992 it was Dominican Republic ahead.
American Samoa ranks 44th and Dominican Republic ranks 45th of 196 countries.
Dominican Republic has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | American Samoa | Dominican Republic | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 104.12 | 107.91 | 3.79 | Dominican Republic |
| 2000s | 113.5 | 120.79 | 7.29 | Dominican Republic |
| 2010s | 122.38 | 125.87 | 3.5 | Dominican Republic |
| 2020s | 128.7 | 129.08 | 0.38 | Dominican Republic |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher index of carbon stocks in forests, index, American Samoa or Dominican Republic?
- American Samoa, at 130.03 against 129.81 in Dominican Republic as of 2023.
- What is the difference in index of carbon stocks in forests, index between American Samoa and Dominican Republic?
- 0.22, with American Samoa ahead.
- How many years of comparable data are there for American Samoa and Dominican Republic?
- 32 years are reported by both, from 1992 to 2023.
- How do American Samoa and Dominican Republic rank globally for index of carbon stocks in forests, index?
- American Samoa ranks 44th and Dominican Republic ranks 45th 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.