Cambodia vs Saint Pierre and Miquelon: Index of carbon stocks in forests, Index
Cambodia
69.35
in 2023
Saint Pierre and Miquelon
62.54
in 2023
Cambodia rank
184th
Saint Pierre and Miquelon rank
187th
Index of carbon stocks in forests, Index over time
- Cambodia
- Saint Pierre and Miquelon
How they compare
Cambodia currently reports 69.35 against 62.54 in Saint Pierre and Miquelon, a difference of 6.81.
That makes Cambodia's figure about 1.1 times Saint Pierre and Miquelon's.
The two have swapped places 1 time across 32 shared years of data; in 1992 it was Saint Pierre and Miquelon ahead.
Cambodia ranks 184th and Saint Pierre and Miquelon ranks 187th of 196 countries.
Cambodia has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Cambodia | Saint Pierre and Miquelon | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 99.29 | 95.56 | 3.73 | Cambodia |
| 2000s | 97.58 | 84.38 | 13.2 | Cambodia |
| 2010s | 84.07 | 72.22 | 11.85 | Cambodia |
| 2020s | 71.49 | 64.13 | 7.36 | Cambodia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher index of carbon stocks in forests, index, Cambodia or Saint Pierre and Miquelon?
- Cambodia, at 69.35 against 62.54 in Saint Pierre and Miquelon as of 2023.
- What is the difference in index of carbon stocks in forests, index between Cambodia and Saint Pierre and Miquelon?
- 6.81, with Cambodia ahead.
- How many years of comparable data are there for Cambodia and Saint Pierre and Miquelon?
- 32 years are reported by both, from 1992 to 2023.
- How do Cambodia and Saint Pierre and Miquelon rank globally for index of carbon stocks in forests, index?
- Cambodia ranks 184th and Saint Pierre and Miquelon ranks 187th 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.