Wittgenstein Projection: Percentage of the population age 20-64 by in New Zealand
New Zealand: 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 New Zealand, 2010–2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
New Zealand recorded 0.0% for wittgenstein projection: percentage of the population age 20-64 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 20-64 by in New Zealand peaked at 0.1% in 2010 and was at its lowest, 0.0%, in 2060.
New Zealand 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 New Zealand, year by year
| Year | Value | Change |
|---|---|---|
| 2010 | 0.1% | — |
| 2015 | 0.0% | -20.0% |
| 2020 | 0.0% | -25.0% |
| 2025 | 0.0% | -33.3% |
| 2030 | 0.0% | +0.0% |
| 2035 | 0.0% | -50.0% |
| 2040 | 0.0% | +0.0% |
| 2045 | 0.0% | +0.0% |
| 2050 | 0.0% | +0.0% |
| 2055 | 0.0% | +0.0% |
| 2060 | 0.0% | -100.0% |
| 2065 | 0.0% | — |
| 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 | 0.0% | 0.0% | 0.1% | 2 |
| 2020s | 0.0% | 0.0% | 0.0% | 2 |
| 2030s | 0.0% | 0.0% | 0.0% | 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 New Zealand
- 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 France 0.0% compare
- 98 French Polynesia 0.0% compare
- 98 Georgia 0.0% compare
- 98 Germany 0.0% compare
- 98 Greece 0.0% compare
- 98 Hong Kong, China 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 Macau, China 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 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 New Zealand
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.4532 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 9.92 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 10.93 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.0459 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 10.93 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 1.52 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 1.53 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 42.17 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 47.53 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.2499 (2050)
Frequently asked questions
- What is wittgenstein projection: percentage of the population age 20-64 by in New Zealand?
- Wittgenstein projection: percentage of the population age 20-64 by in New Zealand 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 New Zealand?
- The highest recorded value was 0.1% in 2010.
- What is the lowest wittgenstein projection: percentage of the population age 20-64 by recorded in New Zealand?
- The lowest recorded value was 0.0% in 2060.
- How does New Zealand rank for wittgenstein projection: percentage of the population age 20-64 by?
- New Zealand ranks 98th out of 166 countries with data for 2100.
- Where does this New Zealand 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
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 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/