Angola vs Oman: Index of carbon stocks in forests, Index (Not Applicable)

Angola
82.26
in 2023
Oman
82.23
in 2023
Angola rank
167th
Oman rank
168th

Index of carbon stocks in forests, Index (Not Applicable) over time

  • Angola
  • Oman
020406080100199220072023

How they compare

Angola currently reports 82.26 against 82.23 in Oman, a difference of 0.03.

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

Angola ranks 167th and Oman ranks 168th of 196 countries.

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

Head to head by decade

Decade Angola Oman Difference Ahead
1990s 99.31 100 0.689 Oman
2000s 95.26 100 4.74 Oman
2010s 88.23 96.11 7.88 Oman
2020s 83.31 84.08 0.7725 Oman

Averages of every year both report within each decade.

Frequently asked questions

Which has higher index of carbon stocks in forests, index, Angola or Oman?
Angola, at 82.26 against 82.23 in Oman as of 2023.
What is the difference in index of carbon stocks in forests, index between Angola and Oman?
0.03, with Angola ahead.
How many years of comparable data are there for Angola and Oman?
32 years are reported by both, from 1992 to 2023.
How do Angola and Oman rank globally for index of carbon stocks in forests, index?
Angola ranks 167th and Oman ranks 168th of 196 countries.
Where does this data come from?
International Monetary Fund, published as Index of carbon stocks in forests, Index (Not Applicable). Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Angola vs Oman: Index of carbon stocks in forests, Index. Statizoid, drawing on International Monetary Fund. Retrieved 07 November 2026, from https://climate.statizoid.com/compare/index-of-carbon-stocks-in-forests-index-not-applicable/angola/oman/

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About this data

Indicator
Index of carbon stocks in forests, Index (Not Applicable)
Source
International Monetary Fund
Licence
IMF Terms and Conditions (attribution required)
Coverage
207 places, 6,590 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.