Wittgenstein Projection: Population age 25-29 in thousands by highest in Niger
Niger: Wittgenstein Projection: Population age 25-29 in thousands by highest was 1,339 in 2100. β Volatile
Wittgenstein Projection: Population age 25-29 in thousands by highest in Niger, 2010β2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
The most recent figure for wittgenstein projection: population age 25-29 in thousands by highest in Niger is 1,339, measured in 2100. That is the highest value across all 19 years on record.
The figure is up 9.6% over ten years.
Over the whole period, wittgenstein projection: population age 25-29 in thousands by highest in Niger peaked at 1,339 in 2100 and was at its lowest, 17.83, in 2010.
Niger ranks 1st of 166 countries on this measure, in the top 10%.
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 | 17.85 | 17.83 | 17.87 | 2 |
| 2020s | 39.74 | 30.57 | 48.91 | 2 |
| 2030s | 89.28 | 72.45 | 106.11 | 2 |
| 2040s | 182.29 | 151.61 | 212.97 | 2 |
| 2050s | 346.24 | 293.87 | 398.61 | 2 |
| 2060s | 604.56 | 536.02 | 673.09 | 2 |
| 2070s | 887.57 | 817.69 | 957.44 | 2 |
| 2080s | 1,090 | 1,050 | 1,131 | 2 |
| 2090s | 1,258 | 1,221 | 1,296 | 2 |
| 2100s | 1,339 | 1,339 | 1,339 | 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 25-29 in thousands by highest in Niger?
- Wittgenstein projection: population age 25-29 in thousands by highest in Niger was 1,339 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 25-29 in thousands by highest recorded in Niger?
- The highest recorded value was 1,339 in 2100.
- What is the lowest wittgenstein projection: population age 25-29 in thousands by highest recorded in Niger?
- The lowest recorded value was 17.83 in 2010.
- How does Niger rank for wittgenstein projection: population age 25-29 in thousands by highest?
- Niger ranks 1st out of 166 countries with data for 2100.
- Is wittgenstein projection: population age 25-29 in thousands by highest rising or falling in Niger?
- Over the last ten years it is up 9.6%. The long-run trend across the full record is volatile.
- 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 25-29 in thousands by highest level of educational attainment. Lower Secondary. Male. 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 completed lower secondary or incomplete upper 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/