Wittgenstein Projection: Population in thousands by highest level of e in Niger
Niger: Wittgenstein Projection: Population in thousands by highest level of e was 11,864 in 2100. ◆ Volatile
Wittgenstein Projection: Population in thousands by highest level of e 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 in thousands by highest level of e in Niger stood at 11,864. That is the highest value across all 19 years on record.
The figure is up 3.5% over ten years.
Over the whole period, wittgenstein projection: population in thousands by highest level of e in Niger peaked at 11,864 in 2100 and was at its lowest, 436.65, in 2010.
Niger ranks 5th 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 | 551.91 | 436.65 | 667.17 | 2 |
| 2020s | 1,162 | 966.75 | 1,357 | 2 |
| 2030s | 2,139 | 1,844 | 2,434 | 2 |
| 2040s | 3,519 | 3,125 | 3,913 | 2 |
| 2050s | 5,278 | 4,800 | 5,756 | 2 |
| 2060s | 7,264 | 6,734 | 7,794 | 2 |
| 2070s | 9,167 | 8,744 | 9,591 | 2 |
| 2080s | 10,669 | 10,351 | 10,987 | 2 |
| 2090s | 11,607 | 11,466 | 11,748 | 2 |
| 2100s | 11,864 | 11,864 | 11,864 | 1 |
Countries ranked near Niger
More reference data data for Niger
- Emission Totals - Emissions (N2O) - Crop Residues 3.1 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - IPCC Agriculture 11,350 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.2425 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.3983 (2050)
- Emission Totals - Emissions (N2O) - Agricultural Soils 42.42 (2050)
- Emission Totals - Emissions (N2O) - Burning - Crop residues 0.0079 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 0.8132 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 9.7 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 9.7 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.57 (2050)
Frequently asked questions
- What is wittgenstein projection: population in thousands by highest level of e in Niger?
- Wittgenstein projection: population in thousands by highest level of e in Niger was 11,864 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 in thousands by highest level of e recorded in Niger?
- The highest recorded value was 11,864 in 2100.
- What is the lowest wittgenstein projection: population in thousands by highest level of e recorded in Niger?
- The lowest recorded value was 436.65 in 2010.
- How does Niger rank for wittgenstein projection: population in thousands by highest level of e?
- Niger ranks 5th out of 166 countries with data for 2100.
- Is wittgenstein projection: population in thousands by highest level of e rising or falling in Niger?
- Over the last ten years it is up 3.5%. 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 in thousands by highest level of educational attainment. 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 that has completed primary education or incomplete lower 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/