Cuba vs Lithuania: Per capita daily coal consumption
Cuba
0 short tons per capita per day
in 2019
Lithuania
0 short tons per capita per day
in 2019
Cuba rank
61st
Lithuania rank
61st
Per capita daily coal consumption over time
- Cuba
- Lithuania
How they compare
Cuba currently reports 0 short tons per capita per day against 0 short tons per capita per day in Lithuania, a difference of 0 short tons per capita per day.
Across all 28 years both countries report, Lithuania has been ahead every year.
Cuba ranks 61st and Lithuania ranks 61st of 194 countries.
Head to head by decade
| Decade | Cuba | Lithuania | 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, Cuba or Lithuania?
- Cuba, at 0 short tons per capita per day against 0 short tons per capita per day in Lithuania as of 2019.
- What is the difference in per capita daily coal consumption between Cuba and Lithuania?
- 0 short tons per capita per day, with Cuba ahead.
- How many years of comparable data are there for Cuba and Lithuania?
- 28 years are reported by both, from 1992 to 2019.
- How do Cuba and Lithuania rank globally for per capita daily coal consumption?
- Cuba ranks 61st and Lithuania ranks 61st of 194 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.