Tanzania vs Thailand: Carbon stocks in living biomass (in forests), Millions of Metric
Tanzania
1,525
in 2023
Thailand
1,642
in 2023
Tanzania rank
32nd
Thailand rank
30th
Carbon stocks in living biomass (in forests), Millions of Metric over time
- Tanzania
- Thailand
How they compare
Thailand currently reports 1,642 against 1,525 in Tanzania, a difference of 117.
That makes Thailand's figure about 1.1 times Tanzania's.
The two have swapped places 1 time across 32 shared years of data; in 1992 it was Tanzania ahead.
Tanzania ranks 32nd and Thailand ranks 30th of 198 countries.
Across the 4 decades both report, Tanzania averaged higher in 2 and Thailand in 2.
Head to head by decade
| Decade | Tanzania | Thailand | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 1,904 | 1,583 | 320.46 | Tanzania |
| 2000s | 1,789 | 1,613 | 175.4 | Tanzania |
| 2010s | 1,657 | 1,663 | 5.75 | Thailand |
| 2020s | 1,549 | 1,646 | 96.79 | Thailand |
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, Tanzania or Thailand?
- Thailand, at 1,642 against 1,525 in Tanzania as of 2023.
- What is the difference in carbon stocks in living biomass (in forests), millions of metric between Tanzania and Thailand?
- 117, with Thailand ahead.
- How many years of comparable data are there for Tanzania and Thailand?
- 32 years are reported by both, from 1992 to 2023.
- How do Tanzania and Thailand rank globally for carbon stocks in living biomass (in forests), millions of metric?
- Tanzania ranks 32nd and Thailand ranks 30th 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.