Wittgenstein Projection: Population in thousands by highest level of e in China
China: Wittgenstein Projection: Population in thousands by highest level of e was 661.69 in 2100. ◆ Volatile
Wittgenstein Projection: Population in thousands by highest level of e in China, 2010–2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
In 2100, wittgenstein projection: population in thousands by highest level of e in China stood at 661.69. That is the lowest value across all 19 years on record.
The figure is down 18.2% over ten years.
Over the whole period, wittgenstein projection: population in thousands by highest level of e in China peaked at 88,331 in 2010 and was at its lowest, 661.69, in 2100.
China ranks 19th of 166 countries on this measure, in the top quarter.
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 | 81,132 | 73,933 | 88,331 | 2 |
| 2020s | 52,981 | 46,816 | 59,146 | 2 |
| 2030s | 32,141 | 27,868 | 36,414 | 2 |
| 2040s | 18,012 | 15,204 | 20,820 | 2 |
| 2050s | 9,248 | 7,621 | 10,876 | 2 |
| 2060s | 4,352 | 3,491 | 5,214 | 2 |
| 2070s | 1,981 | 1,623 | 2,339 | 2 |
| 2080s | 1,076 | 952.91 | 1,199 | 2 |
| 2090s | 764.92 | 720.94 | 808.9 | 2 |
| 2100s | 661.69 | 661.69 | 661.69 | 1 |
Countries ranked near China
More reference data data for China
- Emission Totals - Emissions (N2O) - Manure left on Pasture 350.74 (2050)
- Emission Totals - Emissions (CH4) - Manure Management 1,546 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure left on Pa 92,945 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 1,480 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure Management 54,644 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 303.29 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 18.8 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 303.29 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - IPCC Agriculture 392,076 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure applied to 43,889 (2050)
Frequently asked questions
- What is wittgenstein projection: population in thousands by highest level of e in China?
- Wittgenstein projection: population in thousands by highest level of e in China was 661.69 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 in thousands by highest level of e recorded in China?
- The highest recorded value was 88,331 in 2010.
- What is the lowest wittgenstein projection: population in thousands by highest level of e recorded in China?
- The lowest recorded value was 661.69 in 2100.
- How does China rank for wittgenstein projection: population in thousands by highest level of e?
- China ranks 19th out of 166 countries with data for 2100.
- Is wittgenstein projection: population in thousands by highest level of e rising or falling in China?
- Over the last ten years it is down 18.2%. 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 in thousands by highest level of educational attainment. No Education. Total. 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
Total population in thousands 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/