Wittgenstein Projection: Population in thousands by highest level of e in Saint Lucia
Saint Lucia: Wittgenstein Projection: Population in thousands by highest level of e was 38.63 in 2100. β² Rising
Wittgenstein Projection: Population in thousands by highest level of e in Saint Lucia, 2010β2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
Saint Lucia recorded 38.63 for wittgenstein projection: population in thousands by highest level of e in 2100.
That represents a change of down 4.8% over ten years.
Over the whole period, wittgenstein projection: population in thousands by highest level of e in Saint Lucia peaked at 41.85 in 2075 and was at its lowest, 15.29, in 2010.
That places Saint Lucia 160th out of 166 countries with data for 2100, putting it in the bottom quarter.
The long-run direction has been consistently rising across the 19 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 16.8 | 15.29 | 18.31 | 2 |
| 2020s | 22.58 | 21.12 | 24.03 | 2 |
| 2030s | 28.41 | 27 | 29.82 | 2 |
| 2040s | 33.58 | 32.42 | 34.74 | 2 |
| 2050s | 37.65 | 36.77 | 38.52 | 2 |
| 2060s | 40.45 | 39.95 | 40.96 | 2 |
| 2070s | 41.73 | 41.6 | 41.85 | 2 |
| 2080s | 41.52 | 41.3 | 41.73 | 2 |
| 2090s | 40.14 | 39.69 | 40.59 | 2 |
| 2100s | 38.63 | 38.63 | 38.63 | 1 |
Countries ranked near Saint Lucia
More reference data data for Saint Lucia
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.0062 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.0081 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 0.0143 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0 (1979)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.0143 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 0.0208 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.0131 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 0.0405 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 0.0745 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0 (1979)
Frequently asked questions
- What is wittgenstein projection: population in thousands by highest level of e in Saint Lucia?
- Wittgenstein projection: population in thousands by highest level of e in Saint Lucia was 38.63 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 Saint Lucia?
- The highest recorded value was 41.85 in 2075.
- What is the lowest wittgenstein projection: population in thousands by highest level of e recorded in Saint Lucia?
- The lowest recorded value was 15.29 in 2010.
- How does Saint Lucia rank for wittgenstein projection: population in thousands by highest level of e?
- Saint Lucia ranks 160th out of 166 countries with data for 2100.
- Is wittgenstein projection: population in thousands by highest level of e rising or falling in Saint Lucia?
- Over the last ten years it is down 4.8%. The long-run trend across the full record is rising.
- Where does this Saint Lucia 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. Upper Secondary. Female. 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
Total population in thousands that has completed upper secondary or incomplete post-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/