Republic of Moldova vs Tunisia: Carbon stocks in living biomass (in forests), Millions of Metric
Republic of Moldova
24.74
in 2023
Tunisia
25.89
in 2023
Republic of Moldova rank
134th
Tunisia rank
132nd
Carbon stocks in living biomass (in forests), Millions of Metric over time
- Republic of Moldova
- Tunisia
How they compare
Tunisia currently reports 25.89 against 24.74 in Republic of Moldova, a difference of 1.15.
The two have swapped places 2 times across 32 shared years of data; in 1992 it was Tunisia ahead.
Republic of Moldova ranks 134th and Tunisia ranks 132nd of 198 countries.
Across the 4 decades both report, Republic of Moldova averaged higher in 1 and Tunisia in 3.
Head to head by decade
| Decade | Republic of Moldova | Tunisia | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 20.4 | 21.37 | 0.9634 | Tunisia |
| 2000s | 22.29 | 24.1 | 1.8 | Tunisia |
| 2010s | 24.51 | 24.43 | 0.0745 | Republic of Moldova |
| 2020s | 24.74 | 25.91 | 1.17 | Tunisia |
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, Republic of Moldova or Tunisia?
- Tunisia, at 25.89 against 24.74 in Republic of Moldova as of 2023.
- What is the difference in carbon stocks in living biomass (in forests), millions of metric between Republic of Moldova and Tunisia?
- 1.15, with Tunisia ahead.
- How many years of comparable data are there for Republic of Moldova and Tunisia?
- 32 years are reported by both, from 1992 to 2023.
- How do Republic of Moldova and Tunisia rank globally for carbon stocks in living biomass (in forests), millions of metric?
- Republic of Moldova ranks 134th and Tunisia ranks 132nd 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.