Liechtenstein vs Singapore: Carbon stocks in living biomass (in forests), Millions of Metric
Liechtenstein
0.9072
in 2023
Singapore
1.15
in 2023
Liechtenstein rank
182nd
Singapore rank
179th
Carbon stocks in living biomass (in forests), Millions of Metric over time
- Liechtenstein
- Singapore
How they compare
Singapore currently reports 1.15 against 0.9072 in Liechtenstein, a difference of 0.2428.
That makes Singapore's figure about 1.3 times Liechtenstein's.
The two have swapped places 1 time across 32 shared years of data; in 1992 it was Liechtenstein ahead.
Liechtenstein ranks 182nd and Singapore ranks 179th of 198 countries.
Across the 4 decades both report, Liechtenstein averaged higher in 1 and Singapore in 3.
Head to head by decade
| Decade | Liechtenstein | Singapore | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 1.01 | 0.9597 | 0.0548 | Liechtenstein |
| 2000s | 0.951 | 1.09 | 0.1366 | Singapore |
| 2010s | 0.9072 | 1.21 | 0.3055 | Singapore |
| 2020s | 0.9072 | 1.17 | 0.2648 | Singapore |
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, Liechtenstein or Singapore?
- Singapore, at 1.15 against 0.9072 in Liechtenstein as of 2023.
- What is the difference in carbon stocks in living biomass (in forests), millions of metric between Liechtenstein and Singapore?
- 0.2428, with Singapore ahead.
- How many years of comparable data are there for Liechtenstein and Singapore?
- 32 years are reported by both, from 1992 to 2023.
- How do Liechtenstein and Singapore rank globally for carbon stocks in living biomass (in forests), millions of metric?
- Liechtenstein ranks 182nd and Singapore ranks 179th 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.
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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.