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 0.04 in 2100. ◆ Volatile
Wittgenstein Projection: Population in thousands by highest level of e in Saint Lucia, 2010–2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
In 2100, wittgenstein projection: population in thousands by highest level of e in Saint Lucia stood at 0.04. That is the lowest value across all 19 years on record.
Compared with earlier readings it is down 20.0% over ten years.
Over the whole period, wittgenstein projection: population in thousands by highest level of e in Saint Lucia peaked at 1.4 in 2010 and was at its lowest, 0.04, in 2095.
Saint Lucia ranks 158th 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 | 1.38 | 1.35 | 1.4 | 2 |
| 2020s | 0.965 | 0.86 | 1.07 | 2 |
| 2030s | 0.605 | 0.53 | 0.68 | 2 |
| 2040s | 0.365 | 0.32 | 0.41 | 2 |
| 2050s | 0.22 | 0.19 | 0.25 | 2 |
| 2060s | 0.135 | 0.12 | 0.15 | 2 |
| 2070s | 0.08 | 0.07 | 0.09 | 2 |
| 2080s | 0.055 | 0.05 | 0.06 | 2 |
| 2090s | 0.045 | 0.04 | 0.05 | 2 |
| 2100s | 0.04 | 0.04 | 0.04 | 1 |
Countries ranked near Saint Lucia
More reference data data for Saint Lucia
- Emission Totals - Emissions (N2O) - Crop Residues 0 (1979)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 0.0143 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Agricultural Soil 16.27 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Burning - Crop re 0 (1980)
- Emission Totals - Emissions (CO2eq) from CH4 (AR5) - IPCC Agriculture 32.42 (2050)
- Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Manure Management 3.62 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.0143 (2050)
- Emission Totals - Emissions (N2O) - Burning - Crop residues 0 (1980)
- Emission Totals - Emissions (CH4) - Manure Management 0.1291 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 0.0745 (2050)
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 0.04 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 1.4 in 2010.
- What is the lowest wittgenstein projection: population in thousands by highest level of e recorded in Saint Lucia?
- The lowest recorded value was 0.04 in 2095.
- How does Saint Lucia rank for wittgenstein projection: population in thousands by highest level of e?
- Saint Lucia ranks 158th 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 20.0%. The long-run trend across the full record is volatile.
- 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. No Education. 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
Total population in thousands that has never attended school. 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/