Lithuania vs Tonga: Per capita daily coal consumption
Lithuania
0 short tons per capita per day
in 2019
Tonga
0 short tons per capita per day
in 2019
Lithuania rank
61st
Tonga rank
61st
Per capita daily coal consumption over time
- Lithuania
- Tonga
How they compare
Lithuania currently reports 0 short tons per capita per day against 0 short tons per capita per day in Tonga, a difference of 0 short tons per capita per day.
Across all 28 years both countries report, Tonga has been ahead every year.
Lithuania ranks 61st and Tonga ranks 61st of 193 countries.
Head to head by decade
| Decade | Lithuania | Tonga | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 0 short tons per capita per day | 0 short tons per capita per day | 0 short tons per capita per day | β |
| 2000s | 0 short tons per capita per day | 0 short tons per capita per day | 0 short tons per capita per day | β |
| 2010s | 0 short tons per capita per day | 0 short tons per capita per day | 0 short tons per capita per day | β |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher per capita daily coal consumption, Lithuania or Tonga?
- Lithuania, at 0 short tons per capita per day against 0 short tons per capita per day in Tonga as of 2019.
- What is the difference in per capita daily coal consumption between Lithuania and Tonga?
- 0 short tons per capita per day, with Lithuania ahead.
- How many years of comparable data are there for Lithuania and Tonga?
- 28 years are reported by both, from 1992 to 2019.
- How do Lithuania and Tonga rank globally for per capita daily coal consumption?
- Lithuania ranks 61st and Tonga ranks 61st of 193 countries.
- Where does this data come from?
- U.S Energy Information Administration. Available at: https://www.eia.gov/opendata/, published as Per capita daily coal consumption (short tons per capita per day). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Per capita data has been generated by World Bank staff by taking Energy consumption data [U.S EIA] and applying country population data from the World Bank Group - World Development Indicators.