Wittgenstein Projection: Population age 20-24 in thousands by highest in Congo
Congo: Wittgenstein Projection: Population age 20-24 in thousands by highest was 18.1 in 2100. ◆ Volatile
Wittgenstein Projection: Population age 20-24 in thousands by highest in Congo, 2010–2100
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 20-24 in thousands by highest in Congo is 18.1, measured in 2100. That is the lowest value across all 19 years on record.
The figure is down 45.8% over ten years.
Over the whole period, wittgenstein projection: population age 20-24 in thousands by highest in Congo peaked at 220.21 in 2030 and was at its lowest, 18.1, in 2100.
Congo ranks 42nd of 166 countries on this measure, in the top quarter.
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 | 174.77 | 166.18 | 183.36 | 2 |
| 2020s | 206.16 | 199.9 | 212.41 | 2 |
| 2030s | 214.26 | 208.31 | 220.21 | 2 |
| 2040s | 184.19 | 175.39 | 192.99 | 2 |
| 2050s | 152.31 | 144.19 | 160.44 | 2 |
| 2060s | 114.21 | 103.75 | 124.67 | 2 |
| 2070s | 78.48 | 70.65 | 86.31 | 2 |
| 2080s | 49.76 | 43.53 | 55.99 | 2 |
| 2090s | 29.23 | 25.06 | 33.4 | 2 |
| 2100s | 18.1 | 18.1 | 18.1 | 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 20-24 in thousands by highest in Congo?
- Wittgenstein projection: population age 20-24 in thousands by highest in Congo was 18.1 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 Congo?
- The highest recorded value was 220.21 in 2030.
- What is the lowest wittgenstein projection: population age 20-24 in thousands by highest recorded in Congo?
- The lowest recorded value was 18.1 in 2100.
- How does Congo rank for wittgenstein projection: population age 20-24 in thousands by highest?
- Congo ranks 42nd out of 166 countries with data for 2100.
- Is wittgenstein projection: population age 20-24 in thousands by highest rising or falling in Congo?
- Over the last ten years it is down 45.8%. The long-run trend across the full record is volatile.
- 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 20-24 in thousands by highest level of educational attainment. Primary. Total. 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 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/