Kyrgyzstan vs North Macedonia: Carbon stocks in living biomass (in forests), Millions of Metric
Kyrgyzstan
43.82
in 2023
North Macedonia
42.81
in 2023
Kyrgyzstan rank
126th
North Macedonia rank
127th
Carbon stocks in living biomass (in forests), Millions of Metric over time
- Kyrgyzstan
- North Macedonia
How they compare
Kyrgyzstan currently reports 43.82 against 42.81 in North Macedonia, a difference of 1.01.
The two have swapped places 1 time across 32 shared years of data; in 1992 it was North Macedonia ahead.
Kyrgyzstan ranks 126th 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 | Kyrgyzstan | North Macedonia | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 33.89 | 43.19 | 9.3 | North Macedonia |
| 2000s | 35.15 | 43.35 | 8.2 | North Macedonia |
| 2010s | 36.66 | 42.74 | 6.08 | North Macedonia |
| 2020s | 42.23 | 42.81 | 0.5882 | 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, Kyrgyzstan or North Macedonia?
- Kyrgyzstan, at 43.82 against 42.81 in North Macedonia as of 2023.
- What is the difference in carbon stocks in living biomass (in forests), millions of metric between Kyrgyzstan and North Macedonia?
- 1.01, with Kyrgyzstan ahead.
- How many years of comparable data are there for Kyrgyzstan and North Macedonia?
- 32 years are reported by both, from 1992 to 2023.
- How do Kyrgyzstan and North Macedonia rank globally for carbon stocks in living biomass (in forests), millions of metric?
- Kyrgyzstan ranks 126th 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.