Indonesia vs United States: Carbon stocks in living biomass (in forests), Millions of Metric
Indonesia
9,420
in 2023
United States
17,705
in 2023
Indonesia rank
7th
United States rank
5th
Carbon stocks in living biomass (in forests), Millions of Metric over time
- Indonesia
- United States
How they compare
United States currently reports 17,705 against 9,420 in Indonesia, a difference of 8,285.
That makes United States's figure about 1.9 times Indonesia's.
Across all 32 years both countries report, United States has been ahead every year.
Indonesia ranks 7th and United States ranks 5th of 198 countries.
United States has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Indonesia | United States | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 10,818 | 14,938 | 4,120 | United States |
| 2000s | 10,469 | 16,044 | 5,576 | United States |
| 2010s | 10,007 | 17,260 | 7,253 | United States |
| 2020s | 9,515 | 17,705 | 8,190 | United States |
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, Indonesia or United States?
- United States, at 17,705 against 9,420 in Indonesia as of 2023.
- What is the difference in carbon stocks in living biomass (in forests), millions of metric between Indonesia and United States?
- 8,285, with United States ahead.
- How many years of comparable data are there for Indonesia and United States?
- 32 years are reported by both, from 1992 to 2023.
- How do Indonesia and United States rank globally for carbon stocks in living biomass (in forests), millions of metric?
- Indonesia ranks 7th and United States ranks 5th 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.