Oceania vs Uruguay: Index of forest extent, Index

Oceania
100.31
in 2023
Uruguay
229.56
in 2023
Oceania rank
4th
Uruguay rank
4th

Index of forest extent, Index over time

  • Oceania
  • Uruguay
050100150200250199220072023

How they compare

Uruguay currently reports 229.56 against 100.31 in Oceania, a difference of 129.25.

That makes Uruguay's figure about 2.3 times Oceania's.

Across all 32 years both countries report, Uruguay has been ahead every year.

Oceania ranks 4th and Uruguay ranks 4th of 9 groups.

Uruguay has averaged higher in every one of the 4 decades both report.

Head to head by decade

Decade Oceania Uruguay Difference Ahead
1990s 99.69 121.91 22.22 Uruguay
2000s 98.72 167.95 69.23 Uruguay
2010s 99.52 206.84 107.32 Uruguay
2020s 100.32 226.1 125.78 Uruguay

Averages of every year both report within each decade.

Frequently asked questions

Which has higher index of forest extent, index, Oceania or Uruguay?
Uruguay, at 229.56 against 100.31 in Oceania as of 2023.
What is the difference in index of forest extent, index between Oceania and Uruguay?
129.25, with Uruguay ahead.
How many years of comparable data are there for Oceania and Uruguay?
32 years are reported by both, from 1992 to 2023.
How do Oceania and Uruguay rank globally for index of forest extent, index?
Oceania ranks 4th and Uruguay ranks 4th of 9 groups.
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.

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Oceania vs Uruguay: Index of forest extent, Index. Statizoid, drawing on International Monetary Fund. Retrieved 03 October 2026, from https://climate.statizoid.com/compare/index-of-forest-extent-index-not-applicable/oceania/uruguay/

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About this data

Indicator
Index of forest extent, Index (Not Applicable)
Source
International Monetary Fund
Licence
IMF Terms and Conditions (attribution required)
Coverage
235 places, 7,488 data points, 1992–2023
Last refreshed

This dataset provides information on global climate and weather patterns, providing insights into temperature variations, land cover accounts, and shifts in mean sea levels.