Wittgenstein Projection: Population age 25-29 in thousands by highest in Congo
Congo: Wittgenstein Projection: Population age 25-29 in thousands by highest was 24.89 in 2100. βΌ Falling
Wittgenstein Projection: Population age 25-29 in thousands by highest in Congo, 2010β2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
In 2100, wittgenstein projection: population age 25-29 in thousands by highest in Congo stood at 24.89. That is the lowest value across all 19 years on record.
Compared with earlier readings it is down 42.5% over ten years.
Over the whole period, wittgenstein projection: population age 25-29 in thousands by highest in Congo peaked at 219.55 in 2035 and was at its lowest, 24.89, in 2100.
Congo ranks 41st of 166 countries on this measure, in the top quarter.
The long-run direction has been consistently falling across the 19 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 158.31 | 149.27 | 167.35 | 2 |
| 2020s | 191.62 | 183.56 | 199.67 | 2 |
| 2030s | 215.72 | 211.88 | 219.55 | 2 |
| 2040s | 200.25 | 192.69 | 207.81 | 2 |
| 2050s | 167.86 | 160.43 | 175.28 | 2 |
| 2060s | 134.47 | 124.65 | 144.29 | 2 |
| 2070s | 94.9 | 86.15 | 103.64 | 2 |
| 2080s | 63.12 | 55.78 | 70.46 | 2 |
| 2090s | 38.27 | 33.21 | 43.32 | 2 |
| 2100s | 24.89 | 24.89 | 24.89 | 1 |
Countries ranked near Congo
More reference data data for Congo
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.0199 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.1866 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 0.2108 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.0031 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.2108 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 0.0668 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.0724 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 0.9126 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 1.08 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.017 (2050)
Frequently asked questions
- What is wittgenstein projection: population age 25-29 in thousands by highest in Congo?
- Wittgenstein projection: population age 25-29 in thousands by highest in Congo was 24.89 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 Congo?
- The highest recorded value was 219.55 in 2035.
- What is the lowest wittgenstein projection: population age 25-29 in thousands by highest recorded in Congo?
- The lowest recorded value was 24.89 in 2100.
- How does Congo rank for wittgenstein projection: population age 25-29 in thousands by highest?
- Congo ranks 41st out of 166 countries with data for 2100.
- Is wittgenstein projection: population age 25-29 in thousands by highest rising or falling in Congo?
- Over the last ten years it is down 42.5%. The long-run trend across the full record is falling.
- Where does this Congo 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. Primary. Total. 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 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/