Wittgenstein Projection: Population in thousands by highest level of e in Guyana
Guyana: Wittgenstein Projection: Population in thousands by highest level of e was 125.14 in 2100. ▲ Rising
Wittgenstein Projection: Population in thousands by highest level of e in Guyana, 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 Guyana stood at 125.14.
The figure is down 6.4% over ten years.
Over the whole period, wittgenstein projection: population in thousands by highest level of e in Guyana peaked at 148.08 in 2060 and was at its lowest, 77.97, in 2010.
Guyana ranks 150th of 166 countries on this measure, 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 | 84.25 | 77.97 | 90.54 | 2 |
| 2020s | 110.91 | 105.42 | 116.39 | 2 |
| 2030s | 127 | 123.55 | 130.45 | 2 |
| 2040s | 139.64 | 136.89 | 142.4 | 2 |
| 2050s | 147.12 | 146.2 | 148.05 | 2 |
| 2060s | 147.81 | 147.53 | 148.08 | 2 |
| 2070s | 145.57 | 144.65 | 146.5 | 2 |
| 2080s | 139.9 | 138.02 | 141.78 | 2 |
| 2090s | 131.5 | 129.3 | 133.69 | 2 |
| 2100s | 125.14 | 125.14 | 125.14 | 1 |
Countries ranked near Guyana
More reference data data for Guyana
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.0396 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 0.4179 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 1.05 (2050)
- Emission Totals - Emissions (CH4) - Enteric Fermentation 10.37 (2050)
- Emission Totals - Emissions (CH4) - Burning - Crop residues 0.2885 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 0.2193 (2050)
- Emission Totals - Emissions (CO2eq) from CH4 (AR5) - IPCC Agriculture 1,202 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.0297 (2050)
- Emission Totals - Emissions (CO2eq) (AR5) - Manure applied to Soils 35.14 (2050)
- Emission Totals - Emissions (CO2eq) (AR5) - Manure left on Pasture 110.75 (2050)
Frequently asked questions
- What is wittgenstein projection: population in thousands by highest level of e in Guyana?
- Wittgenstein projection: population in thousands by highest level of e in Guyana was 125.14 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 Guyana?
- The highest recorded value was 148.08 in 2060.
- What is the lowest wittgenstein projection: population in thousands by highest level of e recorded in Guyana?
- The lowest recorded value was 77.97 in 2010.
- How does Guyana rank for wittgenstein projection: population in thousands by highest level of e?
- Guyana ranks 150th out of 166 countries with data for 2100.
- Is wittgenstein projection: population in thousands by highest level of e rising or falling in Guyana?
- Over the last ten years it is down 6.4%. The long-run trend across the full record is rising.
- Where does this Guyana 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. Male. 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 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/