Dominican Republic vs Lithuania, Republic of: Forest area, 1000 Hectares
Dominican Republic
2,168
in 2023
Lithuania, Republic of
2,205
in 2023
Dominican Republic rank
106th
Lithuania, Republic of rank
104th
Forest area, 1000 Hectares over time
- Dominican Republic
- Lithuania, Republic of
How they compare
Lithuania, Republic of currently reports 2,205 against 2,168 in Dominican Republic, a difference of 37.
Across all 32 years both countries report, Lithuania, Republic of has been ahead every year.
Dominican Republic ranks 106th and Lithuania, Republic of ranks 104th of 225 countries.
Lithuania, Republic of has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Dominican Republic | Lithuania, Republic of | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 1,803 | 1,986 | 183.69 | Lithuania, Republic of |
| 2000s | 2,018 | 2,088 | 69.74 | Lithuania, Republic of |
| 2010s | 2,103 | 2,186 | 82.92 | Lithuania, Republic of |
| 2020s | 2,156 | 2,203 | 47.01 | Lithuania, Republic of |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher forest area, 1000 hectares, Dominican Republic or Lithuania, Republic of?
- Lithuania, Republic of, at 2,205 against 2,168 in Dominican Republic as of 2023.
- What is the difference in forest area, 1000 hectares between Dominican Republic and Lithuania, Republic of?
- 37, with Lithuania, Republic of ahead.
- How many years of comparable data are there for Dominican Republic and Lithuania, Republic of?
- 32 years are reported by both, from 1992 to 2023.
- How do Dominican Republic and Lithuania, Republic of rank globally for forest area, 1000 hectares?
- Dominican Republic ranks 106th and Lithuania, Republic of ranks 104th of 225 countries.
- Where does this data come from?
- International Monetary Fund, published as Forest area, 1000 Hectares (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.