Central African Republic vs Lithuania: Share of forest land, Percent
Central African Republic
35.66
in 2023
Lithuania
35.23
in 2023
Central African Republic rank
96th
Lithuania rank
97th
Share of forest land, Percent over time
- Central African Republic
- Lithuania
How they compare
Central African Republic currently reports 35.66 against 35.23 in Lithuania, a difference of 0.43.
Across all 32 years both countries report, Central African Republic has been ahead every year.
Central African Republic ranks 96th and Lithuania ranks 97th of 224 countries.
Central African Republic has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Central African Republic | Lithuania | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 36.98 | 31.69 | 5.29 | Central African Republic |
| 2000s | 36.55 | 33.3 | 3.24 | Central African Republic |
| 2010s | 36.07 | 34.88 | 1.18 | Central African Republic |
| 2020s | 35.73 | 35.19 | 0.5375 | Central African Republic |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher share of forest land, percent, Central African Republic or Lithuania?
- Central African Republic, at 35.66 against 35.23 in Lithuania as of 2023.
- What is the difference in share of forest land, percent between Central African Republic and Lithuania?
- 0.43, with Central African Republic ahead.
- How many years of comparable data are there for Central African Republic and Lithuania?
- 32 years are reported by both, from 1992 to 2023.
- How do Central African Republic and Lithuania rank globally for share of forest land, percent?
- Central African Republic ranks 96th and Lithuania ranks 97th of 224 countries.
- Where does this data come from?
- International Monetary Fund, published as Share of forest land, Percent (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.