French Guiana vs Tanzania: Carbon stocks in living biomass (in forests), Millions of Metric
French Guiana
1,700
in 2023
Tanzania
1,525
in 2023
French Guiana rank
29th
Tanzania rank
32nd
Carbon stocks in living biomass (in forests), Millions of Metric over time
- French Guiana
- Tanzania
How they compare
French Guiana currently reports 1,700 against 1,525 in Tanzania, a difference of 175.
That makes French Guiana'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.
French Guiana ranks 29th and Tanzania ranks 32nd of 198 countries.
Across the 4 decades both report, French Guiana averaged higher in 2 and Tanzania in 2.
Head to head by decade
| Decade | French Guiana | Tanzania | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 1,723 | 1,904 | 180.57 | Tanzania |
| 2000s | 1,715 | 1,789 | 73.87 | Tanzania |
| 2010s | 1,707 | 1,657 | 49.22 | French Guiana |
| 2020s | 1,702 | 1,549 | 152.09 | French Guiana |
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, French Guiana or Tanzania?
- French Guiana, at 1,700 against 1,525 in Tanzania as of 2023.
- What is the difference in carbon stocks in living biomass (in forests), millions of metric between French Guiana and Tanzania?
- 175, with French Guiana ahead.
- How many years of comparable data are there for French Guiana and Tanzania?
- 32 years are reported by both, from 1992 to 2023.
- How do French Guiana and Tanzania rank globally for carbon stocks in living biomass (in forests), millions of metric?
- French Guiana ranks 29th and Tanzania ranks 32nd 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.