Wittgenstein Projection: Mean years of schooling. Age 20-39. Total in Lithuania
Lithuania: Wittgenstein Projection: Mean years of schooling. Age 20-39. Total was 14.4 in 2100. β² Rising
Wittgenstein Projection: Mean years of schooling. Age 20-39. Total in Lithuania, 2010β2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
Lithuania recorded 14.4 for wittgenstein projection: mean years of schooling. age 20-39. total in 2100. That is the highest value across all 19 years on record.
That represents a change of unchanged over ten years.
Over the whole period, wittgenstein projection: mean years of schooling. age 20-39. total in Lithuania peaked at 14.4 in 2080 and was at its lowest, 13.3, in 2010.
That places Lithuania 36th out of 166 countries with data for 2100, putting it in the top quarter.
The long-run direction has been consistently rising across the 19 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 13.4 | 13.3 | 13.5 | 2 |
| 2020s | 13.85 | 13.8 | 13.9 | 2 |
| 2030s | 13.85 | 13.8 | 13.9 | 2 |
| 2040s | 13.95 | 13.9 | 14 | 2 |
| 2050s | 14.2 | 14.2 | 14.2 | 2 |
| 2060s | 14.25 | 14.2 | 14.3 | 2 |
| 2070s | 14.25 | 14.2 | 14.3 | 2 |
| 2080s | 14.4 | 14.4 | 14.4 | 2 |
| 2090s | 14.4 | 14.4 | 14.4 | 2 |
| 2100s | 14.4 | 14.4 | 14.4 | 1 |
Countries ranked near Lithuania
- 33 Ecuador 14.5 compare
- 33 Jordan 14.5 compare
- 33 Netherlands 14.5 compare
- 36 Algeria 14.4 compare
- 36 Bosnia and Herzegovina 14.4 compare
- 36 Chile 14.4 compare
- 36 Egypt, Arab Republic of 14.4 compare
- 36 Greece 14.4 compare
- 36 Iran, Islamic Republic of 14.4 compare
- 36 North Macedonia, Republic of 14.4 compare
- 36 United States 14.4 compare
More reference data data for Lithuania
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.2893 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.1106 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 1.14 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.1208 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 1.14 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 0.9699 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.6729 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 0.5859 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 5.41 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.6578 (2050)
Frequently asked questions
- What is wittgenstein projection: mean years of schooling. age 20-39. total in Lithuania?
- Wittgenstein projection: mean years of schooling. age 20-39. total in Lithuania was 14.4 in 2100, according to Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
- What is the highest wittgenstein projection: mean years of schooling. age 20-39. total recorded in Lithuania?
- The highest recorded value was 14.4 in 2080.
- What is the lowest wittgenstein projection: mean years of schooling. age 20-39. total recorded in Lithuania?
- The lowest recorded value was 13.3 in 2010.
- How does Lithuania rank for wittgenstein projection: mean years of schooling. age 20-39. total?
- Lithuania ranks 36th out of 166 countries with data for 2100.
- Is wittgenstein projection: mean years of schooling. age 20-39. total rising or falling in Lithuania?
- Over the last ten years it is unchanged. The long-run trend across the full record is rising.
- Where does this Lithuania data come from?
- The figures come from Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/, published as part of Wittgenstein Projection: Mean years of schooling. Age 20-39. Total. Statizoid updates them automatically from the source API.
Download this data
CSV Β· JSON β 19 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
About this data
Mean number of years spent in school by age group and gender. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/