Indonesia vs Tanzania: Index of forest extent, Index

Indonesia
78.47
in 2023
Tanzania
78.27
in 2023
Indonesia rank
201st
Tanzania rank
202nd

Index of forest extent, Index over time

  • Indonesia
  • Tanzania
020406080100199220072023

How they compare

Indonesia currently reports 78.47 against 78.27 in Tanzania, a difference of 0.2.

The two have swapped places 1 time across 32 shared years of data; in 1992 it was Tanzania ahead.

Indonesia ranks 201st and Tanzania ranks 202nd of 223 countries.

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

Head to head by decade

Decade Indonesia Tanzania Difference Ahead
1990s 94.75 97.7 2.95 Tanzania
2000s 87.37 91.79 4.43 Tanzania
2010s 83.36 85.05 1.7 Tanzania
2020s 79.26 79.51 0.2514 Tanzania

Averages of every year both report within each decade.

Frequently asked questions

Which has higher index of forest extent, index, Indonesia or Tanzania?
Indonesia, at 78.47 against 78.27 in Tanzania as of 2023.
What is the difference in index of forest extent, index between Indonesia and Tanzania?
0.2, with Indonesia ahead.
How many years of comparable data are there for Indonesia and Tanzania?
32 years are reported by both, from 1992 to 2023.
How do Indonesia and Tanzania rank globally for index of forest extent, index?
Indonesia ranks 201st and Tanzania ranks 202nd 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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Indonesia vs Tanzania: 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/indonesia/tanzania/

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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.