Lithuania vs Chinese Taipei: CO2 emissions multipliers, Metric tons of CO₂ emissions per $1
CO2 emissions multipliers, Metric tons of CO₂ emissions per $1 over time
- Lithuania
- Chinese Taipei
How they compare
Chinese Taipei currently reports 135.74 against 135.38 in Lithuania, a difference of 0.36.
The two have swapped places 3 times across 24 shared years of data; in 1995 it was Lithuania ahead.
Lithuania ranks 51st and Chinese Taipei ranks 50th of 66 countries.
Lithuania has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Lithuania | Chinese Taipei | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 515.35 | 207.14 | 308.2 | Lithuania |
| 2000s | 235.55 | 185.84 | 49.71 | Lithuania |
| 2010s | 159.58 | 138.54 | 21.04 | Lithuania |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher co2 emissions multipliers, metric tons of co₂ emissions per $1, Lithuania or Chinese Taipei?
- Chinese Taipei, at 135.74 against 135.38 in Lithuania as of 2018.
- What is the difference in co2 emissions multipliers, metric tons of co₂ emissions per $1 between Lithuania and Chinese Taipei?
- 0.36, with Chinese Taipei ahead.
- How many years of comparable data are there for Lithuania and Chinese Taipei?
- 24 years are reported by both, from 1995 to 2018.
- How do Lithuania and Chinese Taipei rank globally for co2 emissions multipliers, metric tons of co₂ emissions per $1?
- Lithuania ranks 51st and Chinese Taipei ranks 50th of 66 countries.
- Where does this data come from?
- International Monetary Fund, published as CO2 emissions multipliers, Metric tons of CO₂ emissions per $1 million USD of output (Agriculture, forestry and fishing). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
This dataset provides annual estimates of carbon dioxide (CO2) emissions for 66 countries across 45 industries from 1995 to 2018. It details both aggregate emissions and emissions intensity, specifically direct and indirect CO2 emissions per unit of output. The data is structured to allow for analysis of emission trends by country, industry, and a combination of both. CO2 emissions from fuel consumption are in millions of metric tons of CO2. CO2 emissions intensities are in metric tons of CO2 emissions per $1 million USD of output. CO2 emissions multipliers are in metric tons of CO2 emissions per $1 million USD of output.