Wittgenstein Projection: Population age 20-24 in thousands by highest in Republic of Moldova
Republic of Moldova: Wittgenstein Projection: Population age 20-24 in thousands by highest was 0 in 2100. β Volatile
Wittgenstein Projection: Population age 20-24 in thousands by highest in Republic of Moldova, 2010β2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
Republic of Moldova recorded 0 for wittgenstein projection: population age 20-24 in thousands by highest in 2100. That is the lowest value across all 19 years on record.
Over the whole period, wittgenstein projection: population age 20-24 in thousands by highest in Republic of Moldova peaked at 0.03 in 2010 and was at its lowest, 0, in 2080.
Republic of Moldova ranks 150th 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 | 0.025 | 0.02 | 0.03 | 2 |
| 2020s | 0.015 | 0.01 | 0.02 | 2 |
| 2030s | 0.015 | 0.01 | 0.02 | 2 |
| 2040s | 0.01 | 0.01 | 0.01 | 2 |
| 2050s | 0.01 | 0.01 | 0.01 | 2 |
| 2060s | 0.01 | 0.01 | 0.01 | 2 |
| 2070s | 0.01 | 0.01 | 0.01 | 2 |
| 2080s | 0 | 0 | 0 | 2 |
| 2090s | 0 | 0 | 0 | 2 |
| 2100s | 0 | 0 | 0 | 1 |
Countries ranked near Republic of Moldova
- 150 Aruba 0 compare
- 150 Austria 0 compare
- 150 Bahamas 0 compare
- 150 Cape Verde 0 compare
- 150 Congo 0 compare
- 150 Denmark 0 compare
- 150 Finland 0 compare
- 150 Macau (China) 0 compare
- 150 Mauritius 0 compare
- 150 Samoa 0 compare
- 150 Slovenia 0 compare
- 150 Saint Lucia 0 compare
- 150 Suriname 0 compare
- 150 Switzerland 0 compare
- 150 Tonga 0 compare
- 150 Uganda 0 compare
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 20-24 in thousands by highest in Republic of Moldova?
- Wittgenstein projection: population age 20-24 in thousands by highest in Republic of Moldova was 0 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 Republic of Moldova?
- The highest recorded value was 0.03 in 2010.
- What is the lowest wittgenstein projection: population age 20-24 in thousands by highest recorded in Republic of Moldova?
- The lowest recorded value was 0 in 2080.
- How does Republic of Moldova rank for wittgenstein projection: population age 20-24 in thousands by highest?
- Republic of Moldova ranks 150th out of 166 countries with data for 2100.
- 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 20-24 in thousands by highest level of educational attainment. No Education. Female. 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
Total population in thousands in the specified age group that has never attended school. 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/