New Zealand vs Thailand: Carbon stocks in living biomass (in forests), Millions of Metric
New Zealand
1,822
in 2023
Thailand
1,642
in 2023
New Zealand rank
27th
Thailand rank
30th
Carbon stocks in living biomass (in forests), Millions of Metric over time
- New Zealand
- Thailand
How they compare
New Zealand currently reports 1,822 against 1,642 in Thailand, a difference of 180.
That makes New Zealand's figure about 1.1 times Thailand's.
Across all 32 years both countries report, New Zealand has been ahead every year.
New Zealand ranks 27th and Thailand ranks 30th of 198 countries.
New Zealand has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | New Zealand | Thailand | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 1,676 | 1,583 | 92.58 | New Zealand |
| 2000s | 1,739 | 1,613 | 125.31 | New Zealand |
| 2010s | 1,795 | 1,663 | 132.25 | New Zealand |
| 2020s | 1,818 | 1,646 | 172.19 | New Zealand |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher carbon stocks in living biomass (in forests), millions of metric, New Zealand or Thailand?
- New Zealand, at 1,822 against 1,642 in Thailand as of 2023.
- What is the difference in carbon stocks in living biomass (in forests), millions of metric between New Zealand and Thailand?
- 180, with New Zealand ahead.
- How many years of comparable data are there for New Zealand and Thailand?
- 32 years are reported by both, from 1992 to 2023.
- How do New Zealand and Thailand rank globally for carbon stocks in living biomass (in forests), millions of metric?
- New Zealand ranks 27th and Thailand ranks 30th of 198 countries.
- Where does this data come from?
- International Monetary Fund, published as Carbon stocks in living biomass (in forests), Millions of Metric Tonnes (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.