Wittgenstein Projection: Population in thousands by highest level of e in Congo
Congo: Wittgenstein Projection: Population in thousands by highest level of e was 12.96 in 2100. ◆ Volatile
Wittgenstein Projection: Population in thousands by highest level of e in Congo, 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 Congo stood at 12.96. That is the lowest value across all 19 years on record.
The figure is down 41.1% over ten years.
Over the whole period, wittgenstein projection: population in thousands by highest level of e in Congo peaked at 209.65 in 2010 and was at its lowest, 12.96, in 2100.
Congo ranks 64th of 166 countries on this measure, in the middle of the range.
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 | 209.37 | 209.09 | 209.65 | 2 |
| 2020s | 203.78 | 201.07 | 206.5 | 2 |
| 2030s | 181.74 | 173.95 | 189.53 | 2 |
| 2040s | 147.49 | 138.96 | 156.01 | 2 |
| 2050s | 113.97 | 105.63 | 122.32 | 2 |
| 2060s | 80.54 | 72.24 | 88.84 | 2 |
| 2070s | 52.11 | 46.21 | 58.01 | 2 |
| 2080s | 32.38 | 28.38 | 36.39 | 2 |
| 2090s | 19.48 | 16.95 | 22.02 | 2 |
| 2100s | 12.96 | 12.96 | 12.96 | 1 |
Countries ranked near Congo
More reference data data for Congo
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.2108 (2050)
- Spring temperature anomalies 0.3226 °C (2026)
- Temperature anomalies by month 0.8729 °C (2026)
- Summer temperature anomalies 0.6423 °C (2026)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure left on Pa 241.83 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.0199 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Burning - Crop re 0.8623 (2050)
- Emission Totals - Emissions (CO2eq) (AR5) - Manure Management 41.96 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Agricultural Soil 265.29 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Crop Residues 4.5 (2050)
Frequently asked questions
- What is wittgenstein projection: population in thousands by highest level of e in Congo?
- Wittgenstein projection: population in thousands by highest level of e in Congo was 12.96 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 Congo?
- The highest recorded value was 209.65 in 2010.
- What is the lowest wittgenstein projection: population in thousands by highest level of e recorded in Congo?
- The lowest recorded value was 12.96 in 2100.
- How does Congo rank for wittgenstein projection: population in thousands by highest level of e?
- Congo ranks 64th out of 166 countries with data for 2100.
- Is wittgenstein projection: population in thousands by highest level of e rising or falling in Congo?
- Over the last ten years it is down 41.1%. 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 in thousands by highest level of educational attainment. Incomplete Primary. Male. 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 that has pre-primary education or incomplete primary 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/