Wittgenstein Projection: Population in thousands by highest level of e in Guyana
Guyana: Wittgenstein Projection: Population in thousands by highest level of e was 4.86 in 2100. ◆ Volatile
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 4.86. That is the lowest value across all 19 years on record.
That represents a change of down 25.5% over ten years.
Over the whole period, wittgenstein projection: population in thousands by highest level of e in Guyana peaked at 41.05 in 2010 and was at its lowest, 4.86, in 2100.
That places Guyana 133rd out of 166 countries with data for 2100, putting it 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 | 40.75 | 40.46 | 41.05 | 2 |
| 2020s | 34.31 | 31.69 | 36.94 | 2 |
| 2030s | 27.35 | 25.99 | 28.71 | 2 |
| 2040s | 22.16 | 20.84 | 23.47 | 2 |
| 2050s | 17.12 | 15.96 | 18.28 | 2 |
| 2060s | 13.14 | 12.34 | 13.95 | 2 |
| 2070s | 10.35 | 9.72 | 10.97 | 2 |
| 2080s | 8.03 | 7.49 | 8.56 | 2 |
| 2090s | 6.08 | 5.64 | 6.52 | 2 |
| 2100s | 4.86 | 4.86 | 4.86 | 1 |
Countries ranked near Guyana
More reference data data for Guyana
- Emission Totals - Emissions (N2O) - IPCC Agriculture 1.05 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.2193 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.0791 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.0396 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.0297 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 0.2193 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 0.4179 (2050)
- Temperature anomalies by month 0.373 °C (2026)
- Summer temperature anomalies 0.5186 °C (2026)
- Spring temperature anomalies 0.1147 °C (2026)
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 4.86 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 41.05 in 2010.
- What is the lowest wittgenstein projection: population in thousands by highest level of e recorded in Guyana?
- The lowest recorded value was 4.86 in 2100.
- How does Guyana rank for wittgenstein projection: population in thousands by highest level of e?
- Guyana ranks 133rd 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 25.5%. The long-run trend across the full record is volatile.
- 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. Primary. 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 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/