Wittgenstein Projection: Population age 20-24 in thousands by highest in Congo
Congo: Wittgenstein Projection: Population age 20-24 in thousands by highest was 0 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
Congo recorded 0 for wittgenstein projection: population age 20-24 in thousands by highest in 2100. That is the lowest value across all 19 years on record.
Over the whole period, wittgenstein projection: population age 20-24 in thousands by highest in Congo peaked at 6.34 in 2010 and was at its lowest, 0, in 2045.
That places Congo 150th out of 166 countries with data for 2100, putting it in the bottom 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 | 4.8 | 3.27 | 6.34 | 2 |
| 2020s | 1.29 | 0.86 | 1.73 | 2 |
| 2030s | 0.245 | 0.13 | 0.36 | 2 |
| 2040s | 0.01 | 0 | 0.02 | 2 |
| 2050s | 0 | 0 | 0 | 2 |
| 2060s | 0 | 0 | 0 | 2 |
| 2070s | 0 | 0 | 0 | 2 |
| 2080s | 0 | 0 | 0 | 2 |
| 2090s | 0 | 0 | 0 | 2 |
| 2100s | 0 | 0 | 0 | 1 |
Countries ranked near Congo
- 150 Aruba 0 compare
- 150 Austria 0 compare
- 150 Bahamas 0 compare
- 150 Cape Verde 0 compare
- 150 Denmark 0 compare
- 150 Finland 0 compare
- 150 Macao 0 compare
- 150 Mauritius 0 compare
- 150 Moldova 0 compare
- 150 Samoa 0 compare
- 150 Slovenia 0 compare
- 150 Saint Lucia 0 compare
- 150 Suriname 0 compare
- 150 Switzerland 0 compare
- 150 Tonga 0 compare
- 150 Uganda 0 compare
More reference data data for Congo
- Emission Totals - Emissions (N2O) - Manure Management 0.0724 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - IPCC Agriculture 285.33 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure applied to 17.7 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure Management 19.18 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure left on Pa 241.83 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.017 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 1.08 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Burning - Crop re 0.8623 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Agricultural Soil 265.29 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 0.2108 (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 0 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 6.34 in 2010.
- What is the lowest wittgenstein projection: population age 20-24 in thousands by highest recorded in Congo?
- The lowest recorded value was 0 in 2045.
- How does Congo rank for wittgenstein projection: population age 20-24 in thousands by highest?
- Congo ranks 150th out of 166 countries with data for 2100.
- 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. 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/