Colombia vs Democratic Republic of Congo: Share of forest land, Percent
Colombia
52.77
in 2023
Democratic Republic of Congo
54.19
in 2023
Colombia rank
48th
Democratic Republic of Congo rank
46th
Share of forest land, Percent over time
- Colombia
- Democratic Republic of Congo
How they compare
Democratic Republic of Congo currently reports 54.19 against 52.77 in Colombia, a difference of 1.42.
Across all 32 years both countries report, Democratic Republic of Congo has been ahead every year.
Colombia ranks 48th and Democratic Republic of Congo ranks 46th of 224 countries.
Democratic Republic of Congo has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Colombia | Democratic Republic of Congo | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 57.45 | 64.81 | 7.36 | Democratic Republic of Congo |
| 2000s | 55.76 | 62.14 | 6.38 | Democratic Republic of Congo |
| 2010s | 54.21 | 58.32 | 4.11 | Democratic Republic of Congo |
| 2020s | 53.04 | 54.92 | 1.88 | Democratic Republic of Congo |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher share of forest land, percent, Colombia or Democratic Republic of Congo?
- Democratic Republic of Congo, at 54.19 against 52.77 in Colombia as of 2023.
- What is the difference in share of forest land, percent between Colombia and Democratic Republic of Congo?
- 1.42, with Democratic Republic of Congo ahead.
- How many years of comparable data are there for Colombia and Democratic Republic of Congo?
- 32 years are reported by both, from 1992 to 2023.
- How do Colombia and Democratic Republic of Congo rank globally for share of forest land, percent?
- Colombia ranks 48th and Democratic Republic of Congo ranks 46th 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.