Anguilla vs Australia: Index of forest extent, Index

Anguilla
100
in 2023
Australia
100.4
in 2023
Anguilla rank
90th
Australia rank
89th

Index of forest extent, Index over time

  • Anguilla
  • Australia
0255075100199220072023

How they compare

Australia currently reports 100.4 against 100 in Anguilla, a difference of 0.4.

The two have swapped places 2 times across 32 shared years of data; in 1992 it was Australia ahead.

Anguilla ranks 90th and Australia ranks 89th of 223 countries.

Across the 4 decades both report, Anguilla averaged higher in 3 and Australia in 1.

Head to head by decade

Decade Anguilla Australia Difference Ahead
1990s 100 99.46 0.5423 Anguilla
2000s 100 98 2 Anguilla
2010s 100 99.2 0.8016 Anguilla
2020s 100 100.4 0.402 Australia

Averages of every year both report within each decade.

Frequently asked questions

Which has higher index of forest extent, index, Anguilla or Australia?
Australia, at 100.4 against 100 in Anguilla as of 2023.
What is the difference in index of forest extent, index between Anguilla and Australia?
0.4, with Australia ahead.
How many years of comparable data are there for Anguilla and Australia?
32 years are reported by both, from 1992 to 2023.
How do Anguilla and Australia rank globally for index of forest extent, index?
Anguilla ranks 90th and Australia ranks 89th 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.

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Anguilla vs Australia: 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/anguilla/australia/

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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.