Wittgenstein Projection: Mean years of schooling. Age 80+. Total in Maldives
Maldives: Wittgenstein Projection: Mean years of schooling. Age 80+. Total was 10.9 in 2100. ◆ Volatile
Wittgenstein Projection: Mean years of schooling. Age 80+. Total in Maldives, 2010–2100
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 80+. total in Maldives stood at 10.9. That is the highest value across all 19 years on record.
That represents a change of up 4.8% over ten years.
Over the whole period, wittgenstein projection: mean years of schooling. age 80+. total in Maldives peaked at 10.9 in 2100 and was at its lowest, 1.4, in 2010.
Maldives ranks 125th of 166 countries on this measure, 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 | 1.55 | 1.4 | 1.7 | 2 |
| 2020s | 2.2 | 2 | 2.4 | 2 |
| 2030s | 2.95 | 2.8 | 3.1 | 2 |
| 2040s | 3.45 | 3.3 | 3.6 | 2 |
| 2050s | 4.65 | 4.2 | 5.1 | 2 |
| 2060s | 7.1 | 6.5 | 7.7 | 2 |
| 2070s | 8.85 | 8.5 | 9.2 | 2 |
| 2080s | 9.9 | 9.7 | 10.1 | 2 |
| 2090s | 10.55 | 10.4 | 10.7 | 2 |
| 2100s | 10.9 | 10.9 | 10.9 | 1 |
Countries ranked near Maldives
- 123 Myanmar 11 compare
- 123 Zambia 11 compare
- 126 Democratic Republic of the Congo 10.8 compare
- 126 Turkmenistan 10.8 compare
- 128 Côte d’Ivoire 10.7 compare
- 128 Ghana 10.7 compare
More reference data data for Maldives
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 0.0011 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.0011 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 0.0044 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0 (2050)
- Emission Totals - Emissions (N2O) - Burning - Crop residues 0 (2050)
- Emission Totals - Emissions (N2O) - Agricultural Soils 0.0044 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - IPCC Agriculture 1.16 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Crop Residues 0.012 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Burning - Crop 0.0004 (2050)
Frequently asked questions
- What is wittgenstein projection: mean years of schooling. age 80+. total in Maldives?
- Wittgenstein projection: mean years of schooling. age 80+. total in Maldives was 10.9 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 80+. total recorded in Maldives?
- The highest recorded value was 10.9 in 2100.
- What is the lowest wittgenstein projection: mean years of schooling. age 80+. total recorded in Maldives?
- The lowest recorded value was 1.4 in 2010.
- How does Maldives rank for wittgenstein projection: mean years of schooling. age 80+. total?
- Maldives ranks 125th out of 166 countries with data for 2100.
- Is wittgenstein projection: mean years of schooling. age 80+. total rising or falling in Maldives?
- Over the last ten years it is up 4.8%. The long-run trend across the full record is volatile.
- Where does this Maldives 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 80+. Total. 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/