Wittgenstein Projection: Population age 20-24 in thousands by highest in Nigeria
Nigeria: Wittgenstein Projection: Population age 20-24 in thousands by highest was 19.33 in 2100. ◆ Volatile
Wittgenstein Projection: Population age 20-24 in thousands by highest in Nigeria, 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 Nigeria stood at 19.33. That is the lowest value across all 19 years on record.
The figure is down 3.8% over ten years.
Over the whole period, wittgenstein projection: population age 20-24 in thousands by highest in Nigeria peaked at 2,138 in 2010 and was at its lowest, 19.33, in 2100.
That places Nigeria 7th out of 166 countries with data for 2100, putting it 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 | 1,887 | 1,635 | 2,138 | 2 |
| 2020s | 1,244 | 1,121 | 1,367 | 2 |
| 2030s | 753.46 | 634.54 | 872.38 | 2 |
| 2040s | 375.75 | 303.73 | 447.76 | 2 |
| 2050s | 161.73 | 124.98 | 198.48 | 2 |
| 2060s | 60.28 | 44.86 | 75.7 | 2 |
| 2070s | 22.93 | 20.29 | 25.57 | 2 |
| 2080s | 20.18 | 20.15 | 20.22 | 2 |
| 2090s | 19.89 | 19.69 | 20.09 | 2 |
| 2100s | 19.33 | 19.33 | 19.33 | 1 |
Countries ranked near Nigeria
More reference data data for Nigeria
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 1.77 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 19.51 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 27 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 2.62 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 27 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 5.94 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 5.8 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 81.9 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 121.16 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 14.27 (2050)
Frequently asked questions
- What is wittgenstein projection: population age 20-24 in thousands by highest in Nigeria?
- Wittgenstein projection: population age 20-24 in thousands by highest in Nigeria was 19.33 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 Nigeria?
- The highest recorded value was 2,138 in 2010.
- What is the lowest wittgenstein projection: population age 20-24 in thousands by highest recorded in Nigeria?
- The lowest recorded value was 19.33 in 2100.
- How does Nigeria rank for wittgenstein projection: population age 20-24 in thousands by highest?
- Nigeria ranks 7th out of 166 countries with data for 2100.
- Is wittgenstein projection: population age 20-24 in thousands by highest rising or falling in Nigeria?
- Over the last ten years it is down 3.8%. The long-run trend across the full record is volatile.
- Where does this Nigeria 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 · 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 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/