Wittgenstein Projection: Population in thousands by highest level of e in Peru
Peru: Wittgenstein Projection: Population in thousands by highest level of e was 30.1 in 2100. ◆ Volatile
Wittgenstein Projection: Population in thousands by highest level of e in Peru, 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 Peru stood at 30.1. That is the lowest value across all 19 years on record.
The figure is down 50.6% over ten years.
Over the whole period, wittgenstein projection: population in thousands by highest level of e in Peru peaked at 1,583 in 2010 and was at its lowest, 30.1, in 2100.
Peru ranks 51st of 166 countries on this measure, in the middle of the range.
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 | 1,536 | 1,490 | 1,583 | 2 |
| 2020s | 1,321 | 1,261 | 1,380 | 2 |
| 2030s | 1,070 | 1,004 | 1,135 | 2 |
| 2040s | 807.73 | 742.7 | 872.76 | 2 |
| 2050s | 559.5 | 501.27 | 617.73 | 2 |
| 2060s | 351.23 | 305.98 | 396.48 | 2 |
| 2070s | 200.17 | 169.77 | 230.56 | 2 |
| 2080s | 104.64 | 86.84 | 122.43 | 2 |
| 2090s | 51.78 | 42.63 | 60.92 | 2 |
| 2100s | 30.1 | 30.1 | 30.1 | 1 |
Countries ranked near Peru
More reference data data for Peru
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 1.15 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 4.39 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 7.94 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.3808 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 7.94 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 3.84 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 1.94 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 18.98 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 35.25 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 2.07 (2050)
Frequently asked questions
- What is wittgenstein projection: population in thousands by highest level of e in Peru?
- Wittgenstein projection: population in thousands by highest level of e in Peru was 30.1 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 Peru?
- The highest recorded value was 1,583 in 2010.
- What is the lowest wittgenstein projection: population in thousands by highest level of e recorded in Peru?
- The lowest recorded value was 30.1 in 2100.
- How does Peru rank for wittgenstein projection: population in thousands by highest level of e?
- Peru ranks 51st out of 166 countries with data for 2100.
- Is wittgenstein projection: population in thousands by highest level of e rising or falling in Peru?
- Over the last ten years it is down 50.6%. The long-run trend across the full record is volatile.
- Where does this Peru 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. Incomplete 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 pre-primary education or incomplete primary 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/