Wittgenstein Projection: Population age 20-24 in thousands by highest in Macau, China
Macau, China: Wittgenstein Projection: Population age 20-24 in thousands by highest was 0.01 in 2100. ◆ Volatile
Wittgenstein Projection: Population age 20-24 in thousands by highest in Macau, China, 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: population age 20-24 in thousands by highest in Macau, China is 0.01, measured in 2100. That is the lowest value across all 19 years on record.
That represents a change of down 50.0% over ten years.
Over the whole period, wittgenstein projection: population age 20-24 in thousands by highest in Macau, China peaked at 1.47 in 2010 and was at its lowest, 0.01, in 2095.
Macau, China ranks 116th 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: Population age 20-24 in thousands by highest in Macau, China, year by year
| Year | Value | Change |
|---|---|---|
| 2010 | 1.47 | — |
| 2015 | 1.22 | -17.0% |
| 2020 | 0.75 | -38.5% |
| 2025 | 0.55 | -26.7% |
| 2030 | 0.54 | -1.8% |
| 2035 | 0.49 | -9.3% |
| 2040 | 0.42 | -14.3% |
| 2045 | 0.34 | -19.0% |
| 2050 | 0.26 | -23.5% |
| 2055 | 0.21 | -19.2% |
| 2060 | 0.17 | -19.0% |
| 2065 | 0.13 | -23.5% |
| 2070 | 0.1 | -23.1% |
| 2075 | 0.07 | -30.0% |
| 2080 | 0.05 | -28.6% |
| 2085 | 0.03 | -40.0% |
| 2090 | 0.02 | -33.3% |
| 2095 | 0.01 | -50.0% |
| 2100 | 0.01 | +0.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 1.34 | 1.22 | 1.47 | 2 |
| 2020s | 0.65 | 0.55 | 0.75 | 2 |
| 2030s | 0.515 | 0.49 | 0.54 | 2 |
| 2040s | 0.38 | 0.34 | 0.42 | 2 |
| 2050s | 0.235 | 0.21 | 0.26 | 2 |
| 2060s | 0.15 | 0.13 | 0.17 | 2 |
| 2070s | 0.085 | 0.07 | 0.1 | 2 |
| 2080s | 0.04 | 0.03 | 0.05 | 2 |
| 2090s | 0.015 | 0.01 | 0.02 | 2 |
| 2100s | 0.01 | 0.01 | 0.01 | 1 |
Countries ranked near Macau, China
- 113 Albania 0.03 compare
- 113 Saint Lucia 0.03 compare
- 115 Aruba 0.02 compare
- 116 Finland 0.01 compare
- 116 Tonga 0.01 compare
- 119 Armenia 0 compare
- 119 Australia 0 compare
- 119 Austria 0 compare
- 119 Belarus 0 compare
- 119 Belgium 0 compare
- 119 Bosnia and Herzegovina 0 compare
- 119 Bulgaria 0 compare
- 119 Canada 0 compare
- 119 Croatia 0 compare
- 119 Cyprus 0 compare
- 119 Czechia 0 compare
- 119 Denmark 0 compare
- 119 Egypt 0 compare
- 119 Estonia 0 compare
- 119 France 0 compare
- 119 French Polynesia 0 compare
- 119 Georgia 0 compare
- 119 Greece 0 compare
- 119 Hong Kong, China 0 compare
- 119 Hungary 0 compare
- 119 Ireland 0 compare
- 119 Japan 0 compare
- 119 Kazakhstan 0 compare
- 119 Korea 0 compare
- 119 Kyrgyzstan 0 compare
- 119 Latvia 0 compare
- 119 Malaysia 0 compare
- 119 Malta 0 compare
- 119 Republic of Moldova 0 compare
- 119 Montenegro 0 compare
- 119 New Caledonia 0 compare
- 119 New Zealand 0 compare
- 119 North Macedonia 0 compare
- 119 Norway 0 compare
- 119 Poland 0 compare
- 119 Puerto Rico 0 compare
- 119 Romania 0 compare
- 119 Russia 0 compare
- 119 Saudi Arabia 0 compare
- 119 Serbia 0 compare
- 119 Singapore 0 compare
- 119 Slovak Republic 0 compare
- 119 Slovenia 0 compare
- 119 Sweden 0 compare
- 119 Switzerland 0 compare
- 119 Tajikistan 0 compare
- 119 Turkmenistan 0 compare
- 119 Ukraine 0 compare
More reference data data for Macau, China
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 0.0073 (2050)
- Emission Totals - Emissions (N2O) - Agricultural Soils 0.0323 (2050)
- Emission Totals - Emissions (CO2eq) (AR5) - IPCC Agriculture 11.33 (2050)
- Emission Totals - Emissions (CO2eq) (AR5) - Manure left on Pasture 4.86 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.0032 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.0039 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Agricultural 8.57 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 0.0131 (2050)
- Emission Totals - Emissions (CO2eq) (AR5) - Manure Management 2.76 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.0047 (2050)
Frequently asked questions
- What is wittgenstein projection: population age 20-24 in thousands by highest in Macau, China?
- Wittgenstein projection: population age 20-24 in thousands by highest in Macau, China was 0.01 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 age 20-24 in thousands by highest recorded in Macau, China?
- The highest recorded value was 1.47 in 2010.
- What is the lowest wittgenstein projection: population age 20-24 in thousands by highest recorded in Macau, China?
- The lowest recorded value was 0.01 in 2095.
- How does Macau, China rank for wittgenstein projection: population age 20-24 in thousands by highest?
- Macau, China ranks 116th out of 166 countries with data for 2100.
- Is wittgenstein projection: population age 20-24 in thousands by highest rising or falling in Macau, China?
- Over the last ten years it is down 50.0%. The long-run trend across the full record is volatile.
- Where does this Macau, China 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 age 20-24 in thousands by highest level of educational attainment. Primary. Female. Statizoid updates them automatically from the source API.
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About this data
Total population in thousands in the specified 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/