Wittgenstein Projection: Population in thousands by highest level of e in Iran
Iran: Wittgenstein Projection: Population in thousands by highest level of e was 19,598 in 2100. β² Rising
Wittgenstein Projection: Population in thousands by highest level of e in Iran, 2010β2100
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 Iran stood at 19,598. That is the highest value across all 19 years on record.
That represents a change of up 4.5% over ten years.
Over the whole period, wittgenstein projection: population in thousands by highest level of e in Iran peaked at 19,598 in 2100 and was at its lowest, 3,559, in 2010.
That places Iran 17th out of 166 countries with data for 2100, putting it in the top 10%.
The long-run direction has been consistently rising across the 19 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 4,015 | 3,559 | 4,470 | 2 |
| 2020s | 5,807 | 5,359 | 6,256 | 2 |
| 2030s | 7,855 | 7,276 | 8,434 | 2 |
| 2040s | 10,312 | 9,690 | 10,934 | 2 |
| 2050s | 12,677 | 12,110 | 13,244 | 2 |
| 2060s | 14,866 | 14,364 | 15,368 | 2 |
| 2070s | 16,651 | 16,268 | 17,034 | 2 |
| 2080s | 17,952 | 17,671 | 18,233 | 2 |
| 2090s | 18,981 | 18,746 | 19,216 | 2 |
| 2100s | 19,598 | 19,598 | 19,598 | 1 |
Countries ranked near Iran
More reference data data for Iran
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 3.47 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 12.01 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 26.62 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 1.34 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 26.62 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 11.62 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 3.84 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 46.54 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 109.46 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 7.3 (2050)
Frequently asked questions
- What is wittgenstein projection: population in thousands by highest level of e in Iran?
- Wittgenstein projection: population in thousands by highest level of e in Iran was 19,598 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 Iran?
- The highest recorded value was 19,598 in 2100.
- What is the lowest wittgenstein projection: population in thousands by highest level of e recorded in Iran?
- The lowest recorded value was 3,559 in 2010.
- How does Iran rank for wittgenstein projection: population in thousands by highest level of e?
- Iran ranks 17th out of 166 countries with data for 2100.
- Is wittgenstein projection: population in thousands by highest level of e rising or falling in Iran?
- Over the last ten years it is up 4.5%. The long-run trend across the full record is rising.
- Where does this Iran 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. Post Secondary. Male. 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 that has completed post-secondary or tertiary 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/