Sierra Leone vs Uganda: Carbon stocks in living biomass (in forests), Millions of Metric
Sierra Leone
114.5
in 2023
Uganda
123.77
in 2023
Sierra Leone rank
108th
Uganda rank
105th
Carbon stocks in living biomass (in forests), Millions of Metric over time
- Sierra Leone
- Uganda
How they compare
Uganda currently reports 123.77 against 114.5 in Sierra Leone, a difference of 9.27.
That makes Uganda's figure about 1.1 times Sierra Leone's.
Across all 32 years both countries report, Uganda has been ahead every year.
Sierra Leone ranks 108th and Uganda ranks 105th of 198 countries.
Uganda has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Sierra Leone | Uganda | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 139.59 | 187.19 | 47.59 | Uganda |
| 2000s | 131.38 | 166.43 | 35.05 | Uganda |
| 2010s | 122.26 | 143.37 | 21.12 | Uganda |
| 2020s | 115.87 | 127.23 | 11.36 | Uganda |
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, Sierra Leone or Uganda?
- Uganda, at 123.77 against 114.5 in Sierra Leone as of 2023.
- What is the difference in carbon stocks in living biomass (in forests), millions of metric between Sierra Leone and Uganda?
- 9.27, with Uganda ahead.
- How many years of comparable data are there for Sierra Leone and Uganda?
- 32 years are reported by both, from 1992 to 2023.
- How do Sierra Leone and Uganda rank globally for carbon stocks in living biomass (in forests), millions of metric?
- Sierra Leone ranks 108th and Uganda ranks 105th 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.