Wittgenstein Projection: Mean years of schooling. Age 25+. Total in Equatorial Guinea
Equatorial Guinea: Wittgenstein Projection: Mean years of schooling. Age 25+. Total was 13 in 2100. β² Rising
Wittgenstein Projection: Mean years of schooling. Age 25+. Total in Equatorial Guinea, 2010β2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
In 2100, wittgenstein projection: mean years of schooling. age 25+. total in Equatorial Guinea stood at 13. That is the highest value across all 19 years on record.
That represents a change of up 2.4% over ten years.
Over the whole period, wittgenstein projection: mean years of schooling. age 25+. total in Equatorial Guinea peaked at 13 in 2100 and was at its lowest, 7.8, in 2010.
That places Equatorial Guinea 89th out of 166 countries with data for 2100, putting it in the middle of the range.
The long-run direction has been consistently rising across the 19 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 8 | 7.8 | 8.2 | 2 |
| 2020s | 8.8 | 8.6 | 9 | 2 |
| 2030s | 9.7 | 9.5 | 9.9 | 2 |
| 2040s | 10.45 | 10.3 | 10.6 | 2 |
| 2050s | 11.05 | 10.9 | 11.2 | 2 |
| 2060s | 11.6 | 11.5 | 11.7 | 2 |
| 2070s | 12 | 11.9 | 12.1 | 2 |
| 2080s | 12.4 | 12.3 | 12.5 | 2 |
| 2090s | 12.75 | 12.7 | 12.8 | 2 |
| 2100s | 13 | 13 | 13 | 1 |
Countries ranked near Equatorial Guinea
More reference data data for Equatorial Guinea
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure applied 1.11 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.0044 (2050)
- Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Enteric 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: mean years of schooling. age 25+. total in Equatorial Guinea?
- Wittgenstein projection: mean years of schooling. age 25+. total in Equatorial Guinea was 13 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: mean years of schooling. age 25+. total recorded in Equatorial Guinea?
- The highest recorded value was 13 in 2100.
- What is the lowest wittgenstein projection: mean years of schooling. age 25+. total recorded in Equatorial Guinea?
- The lowest recorded value was 7.8 in 2010.
- How does Equatorial Guinea rank for wittgenstein projection: mean years of schooling. age 25+. total?
- Equatorial Guinea ranks 89th out of 166 countries with data for 2100.
- Is wittgenstein projection: mean years of schooling. age 25+. total rising or falling in Equatorial Guinea?
- Over the last ten years it is up 2.4%. The long-run trend across the full record is rising.
- 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: Mean years of schooling. Age 25+. 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
Mean number of years spent in school by age group and gender. 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/