Wittgenstein Projection: Mean years of schooling. Age 65+. Female in Comoros
Comoros: Wittgenstein Projection: Mean years of schooling. Age 65+. Female was 12 in 2100. ◆ Volatile
Wittgenstein Projection: Mean years of schooling. Age 65+. Female in Comoros, 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: mean years of schooling. age 65+. female in Comoros is 12, measured in 2100. That is the highest value across all 19 years on record.
That represents a change of up 7.1% over ten years.
Over the whole period, wittgenstein projection: mean years of schooling. age 65+. female in Comoros peaked at 12 in 2100 and was at its lowest, 0.2, in 2010.
That places Comoros 102nd out of 166 countries with data for 2100, putting it 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 | 0.2 | 0.2 | 0.2 | 2 |
| 2020s | 0.65 | 0.5 | 0.8 | 2 |
| 2030s | 2.4 | 1.8 | 3 | 2 |
| 2040s | 4.65 | 4.1 | 5.2 | 2 |
| 2050s | 6.6 | 6.2 | 7 | 2 |
| 2060s | 8.2 | 7.8 | 8.6 | 2 |
| 2070s | 9.6 | 9.3 | 9.9 | 2 |
| 2080s | 10.6 | 10.4 | 10.8 | 2 |
| 2090s | 11.4 | 11.2 | 11.6 | 2 |
| 2100s | 12 | 12 | 12 | 1 |
Countries ranked near Comoros
- 99 Equatorial Guinea 12.2 compare
- 100 Bhutan 12.1 compare
- 100 South Africa 12.1 compare
- 102 Kyrgyzstan 12 compare
- 102 Moldova 12 compare
- 102 Trinidad and Tobago 12 compare
More reference data data for Comoros
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.002 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.0385 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 0.0444 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.0039 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.0444 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 0.0068 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.0026 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 0.1837 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 0.2155 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.0211 (2050)
Frequently asked questions
- What is wittgenstein projection: mean years of schooling. age 65+. female in Comoros?
- Wittgenstein projection: mean years of schooling. age 65+. female in Comoros was 12 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 65+. female recorded in Comoros?
- The highest recorded value was 12 in 2100.
- What is the lowest wittgenstein projection: mean years of schooling. age 65+. female recorded in Comoros?
- The lowest recorded value was 0.2 in 2010.
- How does Comoros rank for wittgenstein projection: mean years of schooling. age 65+. female?
- Comoros ranks 102nd out of 166 countries with data for 2100.
- Is wittgenstein projection: mean years of schooling. age 65+. female rising or falling in Comoros?
- Over the last ten years it is up 7.1%. The long-run trend across the full record is volatile.
- Where does this Comoros 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 65+. 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
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/