Guatemala vs Latvia: Carbon stocks in living biomass (in forests), Millions of Metric
Guatemala
268.54
in 2023
Latvia
292.56
in 2023
Guatemala rank
77th
Latvia rank
76th
Carbon stocks in living biomass (in forests), Millions of Metric over time
- Guatemala
- Latvia
How they compare
Latvia currently reports 292.56 against 268.54 in Guatemala, a difference of 24.02.
That makes Latvia's figure about 1.1 times Guatemala's.
The two have swapped places 1 time across 32 shared years of data; in 1992 it was Guatemala ahead.
Guatemala ranks 77th and Latvia ranks 76th of 198 countries.
Across the 4 decades both report, Guatemala averaged higher in 2 and Latvia in 2.
Head to head by decade
| Decade | Guatemala | Latvia | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 343.39 | 211.99 | 131.4 | Guatemala |
| 2000s | 306.77 | 250.24 | 56.53 | Guatemala |
| 2010s | 277.94 | 280.77 | 2.83 | Latvia |
| 2020s | 269.88 | 290.49 | 20.61 | Latvia |
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, Guatemala or Latvia?
- Latvia, at 292.56 against 268.54 in Guatemala as of 2023.
- What is the difference in carbon stocks in living biomass (in forests), millions of metric between Guatemala and Latvia?
- 24.02, with Latvia ahead.
- How many years of comparable data are there for Guatemala and Latvia?
- 32 years are reported by both, from 1992 to 2023.
- How do Guatemala and Latvia rank globally for carbon stocks in living biomass (in forests), millions of metric?
- Guatemala ranks 77th and Latvia ranks 76th 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.