Algeria vs Iran, Islamic Republic of: Index of carbon stocks in forests, Index
Algeria
120.03
in 2023
Iran, Islamic Republic of
122.9
in 2023
Algeria rank
57th
Iran, Islamic Republic of rank
54th
Index of carbon stocks in forests, Index over time
- Algeria
- Iran, Islamic Republic of
How they compare
Iran, Islamic Republic of currently reports 122.9 against 120.03 in Algeria, a difference of 2.87.
Across all 32 years both countries report, Iran, Islamic Republic of has been ahead every year.
Algeria ranks 57th and Iran, Islamic Republic of ranks 54th of 196 countries.
Iran, Islamic Republic of has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Algeria | Iran, Islamic Republic of | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 98.22 | 102.69 | 4.47 | Iran, Islamic Republic of |
| 2000s | 105.52 | 113.67 | 8.15 | Iran, Islamic Republic of |
| 2010s | 118.73 | 122.87 | 4.14 | Iran, Islamic Republic of |
| 2020s | 120.03 | 122.9 | 2.88 | Iran, Islamic Republic of |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher index of carbon stocks in forests, index, Algeria or Iran, Islamic Republic of?
- Iran, Islamic Republic of, at 122.9 against 120.03 in Algeria as of 2023.
- What is the difference in index of carbon stocks in forests, index between Algeria and Iran, Islamic Republic of?
- 2.87, with Iran, Islamic Republic of ahead.
- How many years of comparable data are there for Algeria and Iran, Islamic Republic of?
- 32 years are reported by both, from 1992 to 2023.
- How do Algeria and Iran, Islamic Republic of rank globally for index of carbon stocks in forests, index?
- Algeria ranks 57th and Iran, Islamic Republic of ranks 54th 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.