Wittgenstein Projection: Population age 20-24 in thousands by highest in Maldives
Maldives: Wittgenstein Projection: Population age 20-24 in thousands by highest was 0.24 in 2100. ◆ Volatile
Wittgenstein Projection: Population age 20-24 in thousands by highest in Maldives, 2010–2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
Maldives recorded 0.24 for wittgenstein projection: population age 20-24 in thousands by highest in 2100. That is the lowest value across all 19 years on record.
Compared with earlier readings it is down 40.0% over ten years.
Over the whole period, wittgenstein projection: population age 20-24 in thousands by highest in Maldives peaked at 5.53 in 2010 and was at its lowest, 0.24, in 2100.
That places Maldives 96th 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 | 5.25 | 4.96 | 5.53 | 2 |
| 2020s | 3.66 | 3.33 | 3.98 | 2 |
| 2030s | 3.04 | 3.01 | 3.06 | 2 |
| 2040s | 2.75 | 2.56 | 2.93 | 2 |
| 2050s | 1.9 | 1.7 | 2.1 | 2 |
| 2060s | 1.35 | 1.25 | 1.46 | 2 |
| 2070s | 0.94 | 0.84 | 1.04 | 2 |
| 2080s | 0.585 | 0.51 | 0.66 | 2 |
| 2090s | 0.355 | 0.31 | 0.4 | 2 |
| 2100s | 0.24 | 0.24 | 0.24 | 1 |
Countries ranked near Maldives
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: population age 20-24 in thousands by highest in Maldives?
- Wittgenstein projection: population age 20-24 in thousands by highest in Maldives was 0.24 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 age 20-24 in thousands by highest recorded in Maldives?
- The highest recorded value was 5.53 in 2010.
- What is the lowest wittgenstein projection: population age 20-24 in thousands by highest recorded in Maldives?
- The lowest recorded value was 0.24 in 2100.
- How does Maldives rank for wittgenstein projection: population age 20-24 in thousands by highest?
- Maldives ranks 96th out of 166 countries with data for 2100.
- Is wittgenstein projection: population age 20-24 in thousands by highest rising or falling in Maldives?
- Over the last ten years it is down 40.0%. 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: Population age 20-24 in thousands by highest level of educational attainment. Primary. Female. Statizoid updates them automatically from the source API.
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CSV · JSON — 19 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
About this data
Total population in thousands in the specified age group that has completed primary education or incomplete lower secondary 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/