Bangladesh vs Papua New Guinea: Index of carbon stocks in forests, Index (Not Applicable)
Bangladesh
98.08
in 2023
Papua New Guinea
98.3
in 2023
Bangladesh rank
117th
Papua New Guinea rank
115th
Index of carbon stocks in forests, Index (Not Applicable) over time
- Bangladesh
- Papua New Guinea
How they compare
Papua New Guinea currently reports 98.3 against 98.08 in Bangladesh, a difference of 0.22.
The two have swapped places 2 times across 32 shared years of data; in 1992 it was Papua New Guinea ahead.
Bangladesh ranks 117th and Papua New Guinea ranks 115th of 196 countries.
Across the 4 decades both report, Bangladesh averaged higher in 1 and Papua New Guinea in 3.
Head to head by decade
| Decade | Bangladesh | Papua New Guinea | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 100 | 99.88 | 0.1171 | Bangladesh |
| 2000s | 99.25 | 99.61 | 0.3593 | Papua New Guinea |
| 2010s | 98.15 | 99.07 | 0.9152 | Papua New Guinea |
| 2020s | 98.08 | 98.43 | 0.3564 | Papua New Guinea |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher index of carbon stocks in forests, index, Bangladesh or Papua New Guinea?
- Papua New Guinea, at 98.3 against 98.08 in Bangladesh as of 2023.
- What is the difference in index of carbon stocks in forests, index between Bangladesh and Papua New Guinea?
- 0.22, with Papua New Guinea ahead.
- How many years of comparable data are there for Bangladesh and Papua New Guinea?
- 32 years are reported by both, from 1992 to 2023.
- How do Bangladesh and Papua New Guinea rank globally for index of carbon stocks in forests, index?
- Bangladesh ranks 117th and Papua New Guinea ranks 115th 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.
Individual pages
About this data
This dataset provides information on global climate and weather patterns, providing insights into temperature variations, land cover accounts, and shifts in mean sea levels.