Wittgenstein Projection: Percentage of the population age 20-64 by in France
France: Wittgenstein Projection: Percentage of the population age 20-64 by was 0.0% in 2100. ◆ Volatile
Wittgenstein Projection: Percentage of the population age 20-64 by in France, 2010–2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
In 2100, wittgenstein projection: percentage of the population age 20-64 by in France stood at 0.0%. That is the lowest value across all 19 years on record.
Over the whole period, wittgenstein projection: percentage of the population age 20-64 by in France peaked at 0.2% in 2010 and was at its lowest, 0.0%, in 2065.
France ranks 98th 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 20-64 by in France, year by year
| Year | Value | Change |
|---|---|---|
| 2010 | 0.2% | — |
| 2015 | 0.1% | -25.0% |
| 2020 | 0.1% | -25.0% |
| 2025 | 0.1% | -33.3% |
| 2030 | 0.1% | -16.7% |
| 2035 | 0.0% | -40.0% |
| 2040 | 0.0% | -33.3% |
| 2045 | 0.0% | +0.0% |
| 2050 | 0.0% | -50.0% |
| 2055 | 0.0% | +0.0% |
| 2060 | 0.0% | +0.0% |
| 2065 | 0.0% | -100.0% |
| 2070 | 0.0% | — |
| 2075 | 0.0% | — |
| 2080 | 0.0% | — |
| 2085 | 0.0% | — |
| 2090 | 0.0% | — |
| 2095 | 0.0% | — |
| 2100 | 0.0% | — |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 0.1% | 0.1% | 0.2% | 2 |
| 2020s | 0.1% | 0.1% | 0.1% | 2 |
| 2030s | 0.0% | 0.0% | 0.1% | 2 |
| 2040s | 0.0% | 0.0% | 0.0% | 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 France
- 98 Albania 0.0% compare
- 98 Algeria 0.0% compare
- 98 Armenia 0.0% compare
- 98 Australia 0.0% compare
- 98 Austria 0.0% compare
- 98 Azerbaijan 0.0% compare
- 98 Belarus 0.0% compare
- 98 Belgium 0.0% compare
- 98 Bosnia and Herzegovina 0.0% compare
- 98 Bulgaria 0.0% compare
- 98 Canada 0.0% compare
- 98 Chile 0.0% compare
- 98 Croatia 0.0% compare
- 98 Cuba 0.0% compare
- 98 Cyprus 0.0% compare
- 98 Czechia 0.0%
- 98 Denmark 0.0%
- 98 Egypt 0.0% compare
- 98 Estonia 0.0% compare
- 98 Finland 0.0%
- 98 French Polynesia 0.0% compare
- 98 Georgia 0.0% compare
- 98 Germany 0.0% compare
- 98 Greece 0.0% compare
- 98 Hong Kong 0.0% compare
- 98 Hungary 0.0% compare
- 98 Ireland 0.0% compare
- 98 Italy 0.0% compare
- 98 Japan 0.0% compare
- 98 Jordan 0.0% compare
- 98 Kazakhstan 0.0% compare
- 98 Kenya 0.0% compare
- 98 Republic of Korea 0.0% compare
- 98 Kyrgyzstan 0.0% compare
- 98 Latvia 0.0% compare
- 98 Lithuania 0.0% compare
- 98 Luxembourg 0.0% compare
- 98 Macao 0.0% compare
- 98 Malaysia 0.0% compare
- 98 Malta 0.0% compare
- 98 Republic of Moldova 0.0% compare
- 98 Montenegro 0.0% compare
- 98 Netherlands 0.0% compare
- 98 New Caledonia 0.0% compare
- 98 New Zealand 0.0% compare
- 98 North Macedonia 0.0% compare
- 98 Norway 0.0%
- 98 Peru 0.0% compare
- 98 Poland 0.0%
- 98 Puerto Rico 0.0% compare
- 98 Romania 0.0% compare
- 98 Russian Federation 0.0% compare
- 98 Saudi Arabia 0.0% compare
- 98 Serbia 0.0% compare
- 98 Singapore 0.0% compare
- 98 Slovakia 0.0%
- 98 Slovenia 0.0%
- 98 Spain 0.0% compare
- 98 Sweden 0.0% compare
- 98 Switzerland 0.0% compare
- 98 Tajikistan 0.0% compare
- 98 Timor-Leste 0.0% compare
- 98 Tunisia 0.0% compare
- 98 Turkmenistan 0.0% compare
- 98 Ukraine 0.0%
- 98 United States of America 0.0% compare
- 98 Palestine, State of 0.0% compare
- 98 Zimbabwe 0.0% compare
More reference data data for France
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 5.48 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 2.93 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 22.63 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 2.81 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 22.63 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 18.36 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 11.75 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 14.49 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 106.68 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 15.3 (2050)
Frequently asked questions
- What is wittgenstein projection: percentage of the population age 20-64 by in France?
- Wittgenstein projection: percentage of the population age 20-64 by in France 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 20-64 by recorded in France?
- The highest recorded value was 0.2% in 2010.
- What is the lowest wittgenstein projection: percentage of the population age 20-64 by recorded in France?
- The lowest recorded value was 0.0% in 2065.
- How does France rank for wittgenstein projection: percentage of the population age 20-64 by?
- France ranks 98th out of 166 countries with data for 2100.
- Where does this France 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 20-64 by highest level of educational attainment. Primary. Female. Statizoid updates them automatically from the source API.
Download this data
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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/