Czechia vs Micronesia, Federated States of: Index of forest extent, Index
Czechia
101.94
in 2023
Micronesia, Federated States of
101.37
in 2023
Czechia rank
78th
Micronesia, Federated States of rank
80th
Index of forest extent, Index over time
- Czechia
- Micronesia, Federated States of
How they compare
Czechia currently reports 101.94 against 101.37 in Micronesia, Federated States of, a difference of 0.57.
The two have swapped places 1 time across 32 shared years of data; in 1992 it was Micronesia, Federated States of ahead.
Czechia ranks 78th and Micronesia, Federated States of ranks 80th of 223 countries.
Across the 4 decades both report, Czechia averaged higher in 3 and Micronesia, Federated States of in 1.
Head to head by decade
| Decade | Czechia | Micronesia, Federated States of | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 100.09 | 100.15 | 0.0622 | Micronesia, Federated States of |
| 2000s | 100.57 | 100.54 | 0.0249 | Czechia |
| 2010s | 101.34 | 100.98 | 0.367 | Czechia |
| 2020s | 101.84 | 101.3 | 0.5375 | Czechia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher index of forest extent, index, Czechia or Micronesia, Federated States of?
- Czechia, at 101.94 against 101.37 in Micronesia, Federated States of as of 2023.
- What is the difference in index of forest extent, index between Czechia and Micronesia, Federated States of?
- 0.57, with Czechia ahead.
- How many years of comparable data are there for Czechia and Micronesia, Federated States of?
- 32 years are reported by both, from 1992 to 2023.
- How do Czechia and Micronesia, Federated States of rank globally for index of forest extent, index?
- Czechia ranks 78th and Micronesia, Federated States of ranks 80th of 223 countries.
- Where does this data come from?
- International Monetary Fund, published as Index of forest extent, Index (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.