Wittgenstein Projection: Percentage of the population age 40-64 by in Peru
Peru: Wittgenstein Projection: Percentage of the population age 40-64 by was 0.0% in 2100. ◆ Volatile
Wittgenstein Projection: Percentage of the population age 40-64 by in Peru, 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: percentage of the population age 40-64 by in Peru is 0.0%, measured in 2100. That is the lowest value across all 19 years on record.
Compared with earlier readings it is down 100.0% over ten years.
Over the whole period, wittgenstein projection: percentage of the population age 40-64 by in Peru peaked at 0.1% in 2020 and was at its lowest, 0.0%, in 2100.
Peru ranks 118th 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.
Wittgenstein Projection: Percentage of the population age 40-64 by in Peru, year by year
| Year | Value | Change |
|---|---|---|
| 2010 | 0.1% | — |
| 2015 | 0.1% | +0.0% |
| 2020 | 0.1% | +16.7% |
| 2025 | 0.1% | +0.0% |
| 2030 | 0.1% | +0.0% |
| 2035 | 0.1% | +0.0% |
| 2040 | 0.1% | +0.0% |
| 2045 | 0.1% | -14.3% |
| 2050 | 0.1% | -16.7% |
| 2055 | 0.0% | -20.0% |
| 2060 | 0.0% | +0.0% |
| 2065 | 0.0% | -25.0% |
| 2070 | 0.0% | -33.3% |
| 2075 | 0.0% | +0.0% |
| 2080 | 0.0% | -50.0% |
| 2085 | 0.0% | +0.0% |
| 2090 | 0.0% | +0.0% |
| 2095 | 0.0% | +0.0% |
| 2100 | 0.0% | -100.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 0.1% | 0.1% | 0.1% | 2 |
| 2020s | 0.1% | 0.1% | 0.1% | 2 |
| 2030s | 0.1% | 0.1% | 0.1% | 2 |
| 2040s | 0.1% | 0.1% | 0.1% | 2 |
| 2050s | 0.0% | 0.0% | 0.1% | 2 |
| 2060s | 0.0% | 0.0% | 0.0% | 2 |
| 2070s | 0.0% | 0.0% | 0.0% | 2 |
| 2080s | 0.0% | 0.0% | 0.0% | 2 |
| 2090s | 0.0% | 0.0% | 0.0% | 2 |
| 2100s | 0.0% | 0.0% | 0.0% | 1 |
Countries ranked near Peru
- 118 Armenia 0.0% compare
- 118 Australia 0.0% compare
- 118 Austria 0.0% compare
- 118 Azerbaijan 0.0% compare
- 118 Belarus 0.0% compare
- 118 Belgium 0.0% compare
- 118 Bosnia and Herzegovina 0.0% compare
- 118 Bulgaria 0.0% compare
- 118 Canada 0.0% compare
- 118 Croatia 0.0% compare
- 118 Cyprus 0.0% compare
- 118 Czechia 0.0% compare
- 118 Egypt 0.0% compare
- 118 Estonia 0.0% compare
- 118 France 0.0% compare
- 118 Georgia 0.0% compare
- 118 Greece 0.0% compare
- 118 Hong Kong, China 0.0% compare
- 118 Hungary 0.0% compare
- 118 Iceland 0.0% compare
- 118 Ireland 0.0% compare
- 118 Japan 0.0% compare
- 118 Kazakhstan 0.0% compare
- 118 Republic of Korea 0.0% compare
- 118 Kyrgyzstan 0.0% compare
- 118 Latvia 0.0% compare
- 118 Lithuania 0.0% compare
- 118 Malaysia 0.0% compare
- 118 Montenegro 0.0% compare
- 118 New Caledonia 0.0% compare
- 118 New Zealand 0.0% compare
- 118 Philippines 0.0% compare
- 118 Poland 0.0% compare
- 118 Puerto Rico 0.0% compare
- 118 Romania 0.0% compare
- 118 Russian Federation 0.0% compare
- 118 Saudi Arabia 0.0% compare
- 118 Serbia 0.0% compare
- 118 Singapore 0.0% compare
- 118 Slovakia 0.0% compare
- 118 Slovenia 0.0% compare
- 118 Sweden 0.0% compare
- 118 Switzerland 0.0% compare
- 118 Tajikistan 0.0% compare
- 118 Turkmenistan 0.0% compare
- 118 Ukraine 0.0% compare
- 118 United States of America 0.0% compare
- 118 Zimbabwe 0.0% compare
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: percentage of the population age 40-64 by in Peru?
- Wittgenstein projection: percentage of the population age 40-64 by in Peru was 0.0% 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: percentage of the population age 40-64 by recorded in Peru?
- The highest recorded value was 0.1% in 2020.
- What is the lowest wittgenstein projection: percentage of the population age 40-64 by recorded in Peru?
- The lowest recorded value was 0.0% in 2100.
- How does Peru rank for wittgenstein projection: percentage of the population age 40-64 by?
- Peru ranks 118th out of 166 countries with data for 2100.
- Is wittgenstein projection: percentage of the population age 40-64 by rising or falling in Peru?
- Over the last ten years it is down 100.0%. 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: Percentage of the population age 40-64 by highest level of educational attainment. Lower Secondary. 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
Share of the population of the stated age group that has completed lower secondary or incomplete upper 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/