Wittgenstein Projection: Population in thousands by highest level of e in Equatorial Guinea
Equatorial Guinea: Wittgenstein Projection: Population in thousands by highest level of e was 1.32 in 2100. ◆ Volatile
Wittgenstein Projection: Population in thousands by highest level of e in Equatorial Guinea, 2010–2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
Equatorial Guinea recorded 1.32 for wittgenstein projection: population in thousands by highest level of e in 2100. That is the lowest value across all 19 years on record.
That represents a change of down 43.6% over ten years.
Over the whole period, wittgenstein projection: population in thousands by highest level of e in Equatorial Guinea peaked at 25.32 in 2010 and was at its lowest, 1.32, in 2100.
Equatorial Guinea ranks 113th 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 | 25.17 | 25.02 | 25.32 | 2 |
| 2020s | 24.1 | 23.67 | 24.53 | 2 |
| 2030s | 21.38 | 20.48 | 22.28 | 2 |
| 2040s | 17.07 | 15.88 | 18.25 | 2 |
| 2050s | 12.46 | 11.39 | 13.54 | 2 |
| 2060s | 8.69 | 7.86 | 9.51 | 2 |
| 2070s | 5.78 | 5.14 | 6.42 | 2 |
| 2080s | 3.55 | 3.09 | 4.02 | 2 |
| 2090s | 2.05 | 1.76 | 2.34 | 2 |
| 2100s | 1.32 | 1.32 | 1.32 | 1 |
Countries ranked near Equatorial Guinea
More reference data data for Equatorial Guinea
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure applied to 1.11 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.0044 (2050)
- Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Enteric Fermentat 13.67 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 0.0042 (2050)
- Emission Totals - Emissions (N2O) - Agricultural Soils 0.0358 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - IPCC Agriculture 10.65 (2050)
- Emission Totals - Emissions (CO2eq) from CH4 (AR5) - IPCC Agriculture 14.61 (2050)
- Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Manure Management 0.9434 (2050)
- Emission Totals - Emissions (CH4) - Manure Management 0.0337 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.0083 (2050)
Frequently asked questions
- What is wittgenstein projection: population in thousands by highest level of e in Equatorial Guinea?
- Wittgenstein projection: population in thousands by highest level of e in Equatorial Guinea was 1.32 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 Equatorial Guinea?
- The highest recorded value was 25.32 in 2010.
- What is the lowest wittgenstein projection: population in thousands by highest level of e recorded in Equatorial Guinea?
- The lowest recorded value was 1.32 in 2100.
- How does Equatorial Guinea rank for wittgenstein projection: population in thousands by highest level of e?
- Equatorial Guinea ranks 113th out of 166 countries with data for 2100.
- Is wittgenstein projection: population in thousands by highest level of e rising or falling in Equatorial Guinea?
- Over the last ten years it is down 43.6%. The long-run trend across the full record is volatile.
- Where does this Equatorial Guinea 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. 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 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/