Wittgenstein Projection: Percentage of the population age 25-29 by in Philippines
Philippines: Wittgenstein Projection: Percentage of the population age 25-29 by was 0.0% in 2100. ◆ Volatile
Wittgenstein Projection: Percentage of the population age 25-29 by in Philippines, 2010–2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
Philippines recorded 0.0% for wittgenstein projection: percentage of the population age 25-29 by in 2100. That is the lowest value across all 19 years on record.
Over the whole period, wittgenstein projection: percentage of the population age 25-29 by in Philippines peaked at 0.2% in 2010 and was at its lowest, 0.0%, in 2080.
That places Philippines 78th out of 166 countries with data for 2100, putting it 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 25-29 by in Philippines, year by year
| Year | Value | Change |
|---|---|---|
| 2010 | 0.2% | — |
| 2015 | 0.1% | -12.5% |
| 2020 | 0.1% | -21.4% |
| 2025 | 0.1% | -18.2% |
| 2030 | 0.1% | -22.2% |
| 2035 | 0.1% | -14.3% |
| 2040 | 0.1% | -16.7% |
| 2045 | 0.0% | -20.0% |
| 2050 | 0.0% | -25.0% |
| 2055 | 0.0% | -33.3% |
| 2060 | 0.0% | +0.0% |
| 2065 | 0.0% | -50.0% |
| 2070 | 0.0% | +0.0% |
| 2075 | 0.0% | +0.0% |
| 2080 | 0.0% | -100.0% |
| 2085 | 0.0% | — |
| 2090 | 0.0% | — |
| 2095 | 0.0% | — |
| 2100 | 0.0% | — |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 0.2% | 0.1% | 0.2% | 2 |
| 2020s | 0.1% | 0.1% | 0.1% | 2 |
| 2030s | 0.1% | 0.1% | 0.1% | 2 |
| 2040s | 0.0% | 0.0% | 0.1% | 2 |
| 2050s | 0.0% | 0.0% | 0.0% | 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 Philippines
- 78 Albania 0.0%
- 78 Algeria 0.0% compare
- 78 Armenia 0.0% compare
- 78 Australia 0.0% compare
- 78 Austria 0.0% compare
- 78 Azerbaijan 0.0% compare
- 78 Belarus 0.0%
- 78 Belgium 0.0% compare
- 78 Bolivia 0.0% compare
- 78 Bosnia and Herzegovina 0.0% compare
- 78 Bulgaria 0.0% compare
- 78 Canada 0.0% compare
- 78 Chile 0.0% compare
- 78 China 0.0% compare
- 78 Colombia 0.0% compare
- 78 Croatia 0.0%
- 78 Cuba 0.0% compare
- 78 Cyprus 0.0% compare
- 78 Czechia 0.0%
- 78 Denmark 0.0%
- 78 Dominican Republic 0.0% compare
- 78 Ecuador 0.0% compare
- 78 Egypt 0.0% compare
- 78 Estonia 0.0%
- 78 Eswatini 0.0% compare
- 78 Finland 0.0% compare
- 78 France 0.0% compare
- 78 French Polynesia 0.0% compare
- 78 Georgia 0.0% compare
- 78 Germany 0.0% compare
- 78 Greece 0.0% compare
- 78 Haiti 0.0% compare
- 78 Hong Kong 0.0% compare
- 78 Hungary 0.0% compare
- 78 Indonesia 0.0% compare
- 78 Iran 0.0% compare
- 78 Iraq 0.0% compare
- 78 Ireland 0.0% compare
- 78 Italy 0.0% compare
- 78 Japan 0.0% compare
- 78 Jordan 0.0% compare
- 78 Kazakhstan 0.0%
- 78 Kenya 0.0% compare
- 78 South Korea 0.0%
- 78 Kyrgyzstan 0.0%
- 78 Latvia 0.0%
- 78 Lebanon 0.0% compare
- 78 Lithuania 0.0%
- 78 Luxembourg 0.0% compare
- 78 Macao 0.0% compare
- 78 Malaysia 0.0% compare
- 78 Malta 0.0% compare
- 78 Moldova 0.0% compare
- 78 Mongolia 0.0% compare
- 78 Montenegro 0.0% compare
- 78 Namibia 0.0% compare
- 78 Nepal 0.0% compare
- 78 Netherlands 0.0% compare
- 78 New Caledonia 0.0% compare
- 78 New Zealand 0.0% compare
- 78 Nigeria 0.0% compare
- 78 North Macedonia 0.0% compare
- 78 Norway 0.0% compare
- 78 Panama 0.0% compare
- 78 Peru 0.0% compare
- 78 Poland 0.0%
- 78 Puerto Rico 0.0% compare
- 78 Romania 0.0% compare
- 78 Russia 0.0%
- 78 Saudi Arabia 0.0% compare
- 78 Serbia 0.0% compare
- 78 Singapore 0.0% compare
- 78 Slovakia 0.0%
- 78 Slovenia 0.0%
- 78 South Africa 0.0% compare
- 78 Spain 0.0% compare
- 78 Sweden 0.0% compare
- 78 Switzerland 0.0% compare
- 78 Tajikistan 0.0% compare
- 78 East Timor 0.0% compare
- 78 Tunisia 0.0% compare
- 78 Turkey 0.0% compare
- 78 Turkmenistan 0.0%
- 78 Ukraine 0.0%
- 78 United Kingdom 0.0% compare
- 78 United States 0.0% compare
- 78 Palestine 0.0% compare
- 78 Zimbabwe 0.0% compare
More reference data data for Philippines
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 2.21 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 2.95 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 12.86 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 1.43 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 12.86 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 7.4 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 10.7 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 15.23 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 67.05 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 7.76 (2050)
Frequently asked questions
- What is wittgenstein projection: percentage of the population age 25-29 by in Philippines?
- Wittgenstein projection: percentage of the population age 25-29 by in Philippines 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 25-29 by recorded in Philippines?
- The highest recorded value was 0.2% in 2010.
- What is the lowest wittgenstein projection: percentage of the population age 25-29 by recorded in Philippines?
- The lowest recorded value was 0.0% in 2080.
- How does Philippines rank for wittgenstein projection: percentage of the population age 25-29 by?
- Philippines ranks 78th out of 166 countries with data for 2100.
- Where does this Philippines 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 25-29 by highest level of educational attainment. Primary. Female. Statizoid updates them automatically from the source API.
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About this data
Share of the population of the stated age group 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/