India vs Singapore: Index of carbon stocks in forests, Index (Not Applicable)

India
129.25
in 2023
Singapore
126.22
in 2023
India rank
46th
Singapore rank
49th

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

  • India
  • Singapore
050100150199220072023

How they compare

India currently reports 129.25 against 126.22 in Singapore, a difference of 3.03.

The two have swapped places 3 times across 32 shared years of data; in 1992 it was Singapore ahead.

India ranks 46th and Singapore ranks 49th of 196 countries.

Across the 4 decades both report, India averaged higher in 3 and Singapore in 1.

Head to head by decade

Decade India Singapore Difference Ahead
1990s 109.27 105.22 4.04 India
2000s 121.25 119.24 2.01 India
2010s 124.7 132.95 8.25 Singapore
2020s 128.55 128.49 0.0545 India

Averages of every year both report within each decade.

Frequently asked questions

Which has higher index of carbon stocks in forests, index, India or Singapore?
India, at 129.25 against 126.22 in Singapore as of 2023.
What is the difference in index of carbon stocks in forests, index between India and Singapore?
3.03, with India ahead.
How many years of comparable data are there for India and Singapore?
32 years are reported by both, from 1992 to 2023.
How do India and Singapore rank globally for index of carbon stocks in forests, index?
India ranks 46th and Singapore ranks 49th 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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India vs Singapore: 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/india/singapore/

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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.