Algeria vs North Macedonia: Carbon stocks in living biomass (in forests), Millions of Metric
Algeria
37
in 2023
North Macedonia
42.81
in 2023
Algeria rank
130th
North Macedonia rank
127th
Carbon stocks in living biomass (in forests), Millions of Metric over time
- Algeria
- North Macedonia
How they compare
North Macedonia currently reports 42.81 against 37 in Algeria, a difference of 5.81.
That makes North Macedonia's figure about 1.2 times Algeria's.
Across all 32 years both countries report, North Macedonia has been ahead every year.
Algeria ranks 130th and North Macedonia ranks 127th of 198 countries.
North Macedonia has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Algeria | North Macedonia | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 30.28 | 43.19 | 12.91 | North Macedonia |
| 2000s | 32.53 | 43.35 | 10.82 | North Macedonia |
| 2010s | 36.6 | 42.74 | 6.14 | North Macedonia |
| 2020s | 37 | 42.81 | 5.81 | North Macedonia |
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, Algeria or North Macedonia?
- North Macedonia, at 42.81 against 37 in Algeria as of 2023.
- What is the difference in carbon stocks in living biomass (in forests), millions of metric between Algeria and North Macedonia?
- 5.81, with North Macedonia ahead.
- How many years of comparable data are there for Algeria and North Macedonia?
- 32 years are reported by both, from 1992 to 2023.
- How do Algeria and North Macedonia rank globally for carbon stocks in living biomass (in forests), millions of metric?
- Algeria ranks 130th and North Macedonia ranks 127th 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.