Wittgenstein Projection: Population age 20-24 in thousands by highest in Niger
Niger: Wittgenstein Projection: Population age 20-24 in thousands by highest was 239.16 in 2100. ▲ Rising
Wittgenstein Projection: Population age 20-24 in thousands by highest in Niger, 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 20-24 in thousands by highest in Niger stood at 239.16.
That represents a change of down 20.9% over ten years.
Over the whole period, wittgenstein projection: population age 20-24 in thousands by highest in Niger peaked at 397.28 in 2070 and was at its lowest, 96.31, in 2010.
Niger ranks 1st 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 | 113.76 | 96.31 | 131.21 | 2 |
| 2020s | 182.64 | 167.47 | 197.82 | 2 |
| 2030s | 246.58 | 230.79 | 262.37 | 2 |
| 2040s | 306.79 | 292.76 | 320.82 | 2 |
| 2050s | 357.59 | 345.6 | 369.58 | 2 |
| 2060s | 390.6 | 384.42 | 396.77 | 2 |
| 2070s | 385.94 | 374.6 | 397.28 | 2 |
| 2080s | 338.21 | 327.31 | 349.11 | 2 |
| 2090s | 287.9 | 273.27 | 302.53 | 2 |
| 2100s | 239.16 | 239.16 | 239.16 | 1 |
Countries ranked near Niger
More reference data data for Niger
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.2425 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 8.66 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 9.7 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.57 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 9.7 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 0.8132 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.3983 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 37.55 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 42.83 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 3.1 (2050)
Frequently asked questions
- What is wittgenstein projection: population age 20-24 in thousands by highest in Niger?
- Wittgenstein projection: population age 20-24 in thousands by highest in Niger was 239.16 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 Niger?
- The highest recorded value was 397.28 in 2070.
- What is the lowest wittgenstein projection: population age 20-24 in thousands by highest recorded in Niger?
- The lowest recorded value was 96.31 in 2010.
- How does Niger rank for wittgenstein projection: population age 20-24 in thousands by highest?
- Niger ranks 1st out of 166 countries with data for 2100.
- Is wittgenstein projection: population age 20-24 in thousands by highest rising or falling in Niger?
- Over the last ten years it is down 20.9%. The long-run trend across the full record is rising.
- Where does this Niger 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. Incomplete Primary. Male. Statizoid updates them automatically from the source API.
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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 pre-primary education or incomplete primary 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/