El Salvador vs Kyrgyzstan: Carbon stocks in living biomass (in forests), Millions of Metric
El Salvador
37.37
in 2023
Kyrgyzstan
43.82
in 2023
El Salvador rank
129th
Kyrgyzstan rank
126th
Carbon stocks in living biomass (in forests), Millions of Metric over time
- El Salvador
- Kyrgyzstan
How they compare
Kyrgyzstan currently reports 43.82 against 37.37 in El Salvador, a difference of 6.45.
That makes Kyrgyzstan's figure about 1.2 times El Salvador's.
The two have swapped places 1 time across 32 shared years of data; in 1992 it was El Salvador ahead.
El Salvador ranks 129th and Kyrgyzstan ranks 126th of 198 countries.
Across the 4 decades both report, El Salvador averaged higher in 3 and Kyrgyzstan in 1.
Head to head by decade
| Decade | El Salvador | Kyrgyzstan | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 45.48 | 33.89 | 11.59 | El Salvador |
| 2000s | 42.83 | 35.15 | 7.67 | El Salvador |
| 2010s | 39.88 | 36.66 | 3.22 | El Salvador |
| 2020s | 37.81 | 42.23 | 4.41 | Kyrgyzstan |
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, El Salvador or Kyrgyzstan?
- Kyrgyzstan, at 43.82 against 37.37 in El Salvador as of 2023.
- What is the difference in carbon stocks in living biomass (in forests), millions of metric between El Salvador and Kyrgyzstan?
- 6.45, with Kyrgyzstan ahead.
- How many years of comparable data are there for El Salvador and Kyrgyzstan?
- 32 years are reported by both, from 1992 to 2023.
- How do El Salvador and Kyrgyzstan rank globally for carbon stocks in living biomass (in forests), millions of metric?
- El Salvador ranks 129th and Kyrgyzstan ranks 126th 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.