Wittgenstein Projection: Population age 20-24 in thousands by highest in Moldova
Moldova: Wittgenstein Projection: Population age 20-24 in thousands by highest was 13.59 in 2100. ◆ Volatile
Wittgenstein Projection: Population age 20-24 in thousands by highest in Moldova, 2010–2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
Moldova recorded 13.59 for wittgenstein projection: population age 20-24 in thousands by highest in 2100. That is the lowest value across all 19 years on record.
The figure is down 11.0% over ten years.
Over the whole period, wittgenstein projection: population age 20-24 in thousands by highest in Moldova peaked at 102.08 in 2010 and was at its lowest, 13.59, in 2100.
Moldova ranks 143rd of 166 countries on this measure, in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 89.59 | 77.1 | 102.08 | 2 |
| 2020s | 49.28 | 45.67 | 52.9 | 2 |
| 2030s | 48.52 | 44.44 | 52.61 | 2 |
| 2040s | 37.84 | 35.01 | 40.67 | 2 |
| 2050s | 29.12 | 27.76 | 30.48 | 2 |
| 2060s | 24.71 | 23.66 | 25.76 | 2 |
| 2070s | 20.11 | 18.99 | 21.24 | 2 |
| 2080s | 16.71 | 16.12 | 17.3 | 2 |
| 2090s | 14.86 | 14.45 | 15.27 | 2 |
| 2100s | 13.59 | 13.59 | 13.59 | 1 |
Countries ranked near Moldova
More reference data data for 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 20-24 in thousands by highest in Moldova?
- Wittgenstein projection: population age 20-24 in thousands by highest in Moldova was 13.59 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 20-24 in thousands by highest recorded in Moldova?
- The highest recorded value was 102.08 in 2010.
- What is the lowest wittgenstein projection: population age 20-24 in thousands by highest recorded in Moldova?
- The lowest recorded value was 13.59 in 2100.
- How does Moldova rank for wittgenstein projection: population age 20-24 in thousands by highest?
- Moldova ranks 143rd out of 166 countries with data for 2100.
- Is wittgenstein projection: population age 20-24 in thousands by highest rising or falling in Moldova?
- Over the last ten years it is down 11.0%. The long-run trend across the full record is volatile.
- Where does this 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 20-24 in thousands by highest level of educational attainment. Upper Secondary. 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
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/