Iraq vs Saint Martin (French part): Tree cover loss
Iraq
1.86 hectares
in 2024
Saint Martin (French part)
4.03 hectares
in 2024
Iraq rank
173rd
Saint Martin (French part) rank
170th
Tree cover loss over time
- Iraq
- Saint Martin (French part)
How they compare
Saint Martin (French part) currently reports 4.03 hectares against 1.86 hectares in Iraq, a difference of 2.17 hectares.
That makes Saint Martin (French part)'s figure about 2.2 times Iraq's.
The two have swapped places 11 times across 24 shared years of data; in 2001 it was Iraq ahead.
Iraq ranks 173rd and Saint Martin (French part) ranks 170th of 197 countries.
Across the 3 decades both report, Iraq averaged higher in 1 and Saint Martin (French part) in 2.
Head to head by decade
| Decade | Iraq | Saint Martin (French part) | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 6.69 hectares | 2.7 hectares | 3.99 hectares | Iraq |
| 2010s | 1.93 hectares | 1.99 hectares | 0.0637 hectares | Saint Martin (French part) |
| 2020s | 1.01 hectares | 1.58 hectares | 0.5755 hectares | Saint Martin (French part) |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher tree cover loss, Iraq or Saint Martin (French part)?
- Saint Martin (French part), at 4.03 hectares against 1.86 hectares in Iraq as of 2024.
- What is the difference in tree cover loss between Iraq and Saint Martin (French part)?
- 2.17 hectares, with Saint Martin (French part) ahead.
- How many years of comparable data are there for Iraq and Saint Martin (French part)?
- 24 years are reported by both, from 2001 to 2024.
- How do Iraq and Saint Martin (French part) rank globally for tree cover loss?
- Iraq ranks 173rd and Saint Martin (French part) ranks 170th of 197 countries.
- Where does this data come from?
- Global Forest Watch (2025) – with major processing by Our World in Data, published as Tree cover loss. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Tree cover loss driven by all causes.