Wittgenstein Projection: Population age 20-24 in thousands by highest in China
China: Wittgenstein Projection: Population age 20-24 in thousands by highest was 17.35 in 2100. β Volatile
Wittgenstein Projection: Population age 20-24 in thousands by highest in China, 2010β2100
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 China is 17.35, measured in 2100. That is the lowest value across all 19 years on record.
That represents a change of down 22.4% over ten years.
Over the whole period, wittgenstein projection: population age 20-24 in thousands by highest in China peaked at 599.29 in 2010 and was at its lowest, 17.35, in 2100.
That places China 11th out of 166 countries with data for 2100, putting it in the top 10%.
The series is highly variable year to year, so single readings are best treated with caution.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 534.43 | 469.58 | 599.29 | 2 |
| 2020s | 285.23 | 246.72 | 323.74 | 2 |
| 2030s | 192.42 | 170.61 | 214.22 | 2 |
| 2040s | 129.28 | 116 | 142.57 | 2 |
| 2050s | 85.99 | 77.47 | 94.51 | 2 |
| 2060s | 58 | 52.25 | 63.75 | 2 |
| 2070s | 39.55 | 35.97 | 43.14 | 2 |
| 2080s | 28.18 | 25.96 | 30.39 | 2 |
| 2090s | 20.95 | 19.55 | 22.36 | 2 |
| 2100s | 17.35 | 17.35 | 17.35 | 1 |
Countries ranked near China
More reference data data for China
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 49.4 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 75.5 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 303.29 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 18.8 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 303.29 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 165.62 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 206.2 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 350.74 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 1,480 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 102.37 (2050)
Frequently asked questions
- What is wittgenstein projection: population age 20-24 in thousands by highest in China?
- Wittgenstein projection: population age 20-24 in thousands by highest in China was 17.35 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 China?
- The highest recorded value was 599.29 in 2010.
- What is the lowest wittgenstein projection: population age 20-24 in thousands by highest recorded in China?
- The lowest recorded value was 17.35 in 2100.
- How does China rank for wittgenstein projection: population age 20-24 in thousands by highest?
- China ranks 11th out of 166 countries with data for 2100.
- Is wittgenstein projection: population age 20-24 in thousands by highest rising or falling in China?
- Over the last ten years it is down 22.4%. The long-run trend across the full record is volatile.
- Where does this 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. No Education. Female. Statizoid updates them automatically from the source API.
Download this data
CSV Β· JSON β 19 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
About this data
Total population in thousands in the specified age group that has never attended school. 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/