Wittgenstein Projection: Mean years of schooling. Age 65+. Female in Lithuania
Lithuania: Wittgenstein Projection: Mean years of schooling. Age 65+. Female was 15 in 2100. ▲ Rising
Wittgenstein Projection: Mean years of schooling. Age 65+. Female in Lithuania, 2010–2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
Lithuania recorded 15 for wittgenstein projection: mean years of schooling. age 65+. female in 2100. That is the highest value across all 19 years on record.
Compared with earlier readings it is up 0.7% over ten years.
Over the whole period, wittgenstein projection: mean years of schooling. age 65+. female in Lithuania peaked at 15 in 2095 and was at its lowest, 9.6, in 2010.
Lithuania ranks 13th of 166 countries on this measure, in the top 10%.
The long-run direction has been consistently rising across the 19 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 10.3 | 9.6 | 11 | 2 |
| 2020s | 12.7 | 12.2 | 13.2 | 2 |
| 2030s | 13.95 | 13.8 | 14.1 | 2 |
| 2040s | 14.25 | 14.2 | 14.3 | 2 |
| 2050s | 14.45 | 14.4 | 14.5 | 2 |
| 2060s | 14.65 | 14.6 | 14.7 | 2 |
| 2070s | 14.8 | 14.8 | 14.8 | 2 |
| 2080s | 14.9 | 14.9 | 14.9 | 2 |
| 2090s | 14.95 | 14.9 | 15 | 2 |
| 2100s | 15 | 15 | 15 | 1 |
Countries ranked near Lithuania
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 65+. female in Lithuania?
- Wittgenstein projection: mean years of schooling. age 65+. female in Lithuania was 15 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 65+. female recorded in Lithuania?
- The highest recorded value was 15 in 2095.
- What is the lowest wittgenstein projection: mean years of schooling. age 65+. female recorded in Lithuania?
- The lowest recorded value was 9.6 in 2010.
- How does Lithuania rank for wittgenstein projection: mean years of schooling. age 65+. female?
- Lithuania ranks 13th out of 166 countries with data for 2100.
- Is wittgenstein projection: mean years of schooling. age 65+. female rising or falling in Lithuania?
- Over the last ten years it is up 0.7%. 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 65+. Female. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 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/