Wittgenstein Projection: Population in thousands by highest level of e in Ukraine
Ukraine: Wittgenstein Projection: Population in thousands by highest level of e was 10.91 in 2100. ◆ Volatile
Wittgenstein Projection: Population in thousands by highest level of e in Ukraine, 2010–2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
Ukraine recorded 10.91 for wittgenstein projection: population in thousands by highest level of e in 2100. That is the lowest value across all 19 years on record.
That represents a change of down 4.0% over ten years.
Over the whole period, wittgenstein projection: population in thousands by highest level of e in Ukraine peaked at 276.07 in 2010 and was at its lowest, 10.91, in 2100.
Ukraine ranks 84th 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.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 216.1 | 156.13 | 276.07 | 2 |
| 2020s | 68.11 | 49.4 | 86.81 | 2 |
| 2030s | 27.11 | 23.03 | 31.19 | 2 |
| 2040s | 17.98 | 16.83 | 19.12 | 2 |
| 2050s | 14.73 | 14.19 | 15.27 | 2 |
| 2060s | 13.18 | 12.91 | 13.45 | 2 |
| 2070s | 12.32 | 12.14 | 12.49 | 2 |
| 2080s | 11.71 | 11.59 | 11.84 | 2 |
| 2090s | 11.25 | 11.15 | 11.36 | 2 |
| 2100s | 10.91 | 10.91 | 10.91 | 1 |
Countries ranked near Ukraine
- 81 Costa Rica 12.03 compare
- 82 Cape Verde 11.83 compare
- 83 Canada 11.82 compare
- 85 Kazakhstan 10.21 compare
- 86 Bhutan 9.48 compare
- 87 Mauritius 8.78 compare
More reference data data for Ukraine
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 2.72 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.8321 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 8.98 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 1.92 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 8.98 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 9.11 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 5.76 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 3.97 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 43.91 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 10.47 (2050)
Frequently asked questions
- What is wittgenstein projection: population in thousands by highest level of e in Ukraine?
- Wittgenstein projection: population in thousands by highest level of e in Ukraine was 10.91 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 Ukraine?
- The highest recorded value was 276.07 in 2010.
- What is the lowest wittgenstein projection: population in thousands by highest level of e recorded in Ukraine?
- The lowest recorded value was 10.91 in 2100.
- How does Ukraine rank for wittgenstein projection: population in thousands by highest level of e?
- Ukraine ranks 84th out of 166 countries with data for 2100.
- Is wittgenstein projection: population in thousands by highest level of e rising or falling in Ukraine?
- Over the last ten years it is down 4.0%. The long-run trend across the full record is volatile.
- Where does this Ukraine 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. Incomplete Primary. 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 pre-primary education or incomplete primary 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/