Wittgenstein Projection: Population age 15-19 in thousands by highest in Republic of Moldova
Republic of Moldova: Wittgenstein Projection: Population age 15-19 in thousands by highest was 24.03 in 2100. ▼ Falling
Wittgenstein Projection: Population age 15-19 in thousands by highest in Republic of Moldova, 2010–2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
In 2100, wittgenstein projection: population age 15-19 in thousands by highest in Republic of Moldova stood at 24.03. That is the lowest value across all 19 years on record.
The figure is down 6.5% over ten years.
Over the whole period, wittgenstein projection: population age 15-19 in thousands by highest in Republic of Moldova peaked at 86.87 in 2010 and was at its lowest, 24.03, in 2100.
Republic of Moldova ranks 131st of 166 countries on this measure, in the bottom quarter.
The long-run direction has been consistently falling across the 19 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 73.57 | 60.27 | 86.87 | 2 |
| 2020s | 58.49 | 53.12 | 63.87 | 2 |
| 2030s | 53.96 | 52.41 | 55.51 | 2 |
| 2040s | 44.29 | 41.96 | 46.62 | 2 |
| 2050s | 38.75 | 37.96 | 39.53 | 2 |
| 2060s | 34.41 | 33.01 | 35.81 | 2 |
| 2070s | 29.34 | 28.37 | 30.32 | 2 |
| 2080s | 26.8 | 26.44 | 27.16 | 2 |
| 2090s | 25.27 | 24.84 | 25.71 | 2 |
| 2100s | 24.03 | 24.03 | 24.03 | 1 |
Countries ranked near Republic of Moldova
More reference data data for Republic of Moldova
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.2466 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.1366 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 0.6117 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.118 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.6117 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 0.8268 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.4303 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 0.5193 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 2.92 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.6426 (2050)
Frequently asked questions
- What is wittgenstein projection: population age 15-19 in thousands by highest in Republic of Moldova?
- Wittgenstein projection: population age 15-19 in thousands by highest in Republic of Moldova was 24.03 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: population age 15-19 in thousands by highest recorded in Republic of Moldova?
- The highest recorded value was 86.87 in 2010.
- What is the lowest wittgenstein projection: population age 15-19 in thousands by highest recorded in Republic of Moldova?
- The lowest recorded value was 24.03 in 2100.
- How does Republic of Moldova rank for wittgenstein projection: population age 15-19 in thousands by highest?
- Republic of Moldova ranks 131st out of 166 countries with data for 2100.
- Is wittgenstein projection: population age 15-19 in thousands by highest rising or falling in Republic of Moldova?
- Over the last ten years it is down 6.5%. The long-run trend across the full record is falling.
- Where does this Republic of Moldova 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: Population age 15-19 in thousands by highest level of educational attainment. Upper Secondary. Total. 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
Total population in thousands in the specified age group that has completed upper secondary or incomplete post-secondary education as the highest level of educational attainment. 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/