Wittgenstein Projection: Population in thousands by highest level of e in Guatemala
Guatemala: Wittgenstein Projection: Population in thousands by highest level of e was 230.41 in 2100. ▼ Falling
Wittgenstein Projection: Population in thousands by highest level of e in Guatemala, 2010–2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
The most recent figure for wittgenstein projection: population in thousands by highest level of e in Guatemala is 230.41, measured in 2100. That is the lowest value across all 19 years on record.
The figure is down 35.3% over ten years.
Over the whole period, wittgenstein projection: population in thousands by highest level of e in Guatemala peaked at 1,326 in 2020 and was at its lowest, 230.41, in 2100.
Guatemala ranks 26th of 166 countries on this measure, in the top quarter.
The long-run direction has been consistently falling across the 19 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 1,287 | 1,259 | 1,314 | 2 |
| 2020s | 1,322 | 1,319 | 1,326 | 2 |
| 2030s | 1,264 | 1,240 | 1,289 | 2 |
| 2040s | 1,142 | 1,106 | 1,178 | 2 |
| 2050s | 984.09 | 941.71 | 1,026 | 2 |
| 2060s | 810.52 | 766.82 | 854.22 | 2 |
| 2070s | 636.07 | 592.93 | 679.21 | 2 |
| 2080s | 469.5 | 429.75 | 509.26 | 2 |
| 2090s | 322.52 | 289.15 | 355.9 | 2 |
| 2100s | 230.41 | 230.41 | 230.41 | 1 |
Countries ranked near Guatemala
More reference data data for Guatemala
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.9286 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 1.39 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 3.72 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.1246 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 3.72 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 3.11 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 1.9 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 7.68 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 18.61 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.6786 (2050)
Frequently asked questions
- What is wittgenstein projection: population in thousands by highest level of e in Guatemala?
- Wittgenstein projection: population in thousands by highest level of e in Guatemala was 230.41 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 Guatemala?
- The highest recorded value was 1,326 in 2020.
- What is the lowest wittgenstein projection: population in thousands by highest level of e recorded in Guatemala?
- The lowest recorded value was 230.41 in 2100.
- How does Guatemala rank for wittgenstein projection: population in thousands by highest level of e?
- Guatemala ranks 26th out of 166 countries with data for 2100.
- Is wittgenstein projection: population in thousands by highest level of e rising or falling in Guatemala?
- Over the last ten years it is down 35.3%. The long-run trend across the full record is falling.
- Where does this Guatemala 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/