Wittgenstein Projection: Population in thousands by highest level of e in Iran
Iran: Wittgenstein Projection: Population in thousands by highest level of e was 14,360 in 2100. ▲ Rising
Wittgenstein Projection: Population in thousands by highest level of e in Iran, 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 Iran stood at 14,360.
The figure is down 8.0% over ten years.
Over the whole period, wittgenstein projection: population in thousands by highest level of e in Iran peaked at 17,453 in 2065 and was at its lowest, 6,577, in 2010.
Iran ranks 24th of 166 countries on this measure, in the top quarter.
The long-run direction has been consistently rising across the 19 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 7,174 | 6,577 | 7,771 | 2 |
| 2020s | 9,465 | 8,837 | 10,092 | 2 |
| 2030s | 12,343 | 11,596 | 13,091 | 2 |
| 2040s | 14,713 | 14,265 | 15,160 | 2 |
| 2050s | 16,247 | 15,906 | 16,587 | 2 |
| 2060s | 17,304 | 17,155 | 17,453 | 2 |
| 2070s | 17,300 | 17,164 | 17,435 | 2 |
| 2080s | 16,457 | 16,192 | 16,721 | 2 |
| 2090s | 15,308 | 15,005 | 15,611 | 2 |
| 2100s | 14,360 | 14,360 | 14,360 | 1 |
Countries ranked near Iran
More reference data data for Iran
- Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Manure Management 2,676 (2050)
- Emission Totals - Emissions (CH4) - Enteric Fermentation 1,272 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - IPCC Agriculture 29,008 (2050)
- Emission Totals - Emissions (CH4) - Burning - Crop residues 8.06 (2050)
- Emission Totals - Emissions (N2O) - Agricultural Soils 105.41 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 11.62 (2050)
- Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Enteric Fermentat 35,629 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 7.3 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure applied to 3,079 (2050)
- Emission Totals - Emissions (CO2eq) from CH4 (AR5) - IPCC Agriculture 42,936 (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 14,360 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 17,453 in 2065.
- What is the lowest wittgenstein projection: population in thousands by highest level of e recorded in Iran?
- The lowest recorded value was 6,577 in 2010.
- How does Iran rank for wittgenstein projection: population in thousands by highest level of e?
- Iran ranks 24th 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 down 8.0%. 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. Upper Secondary. Female. 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 completed upper secondary or incomplete post-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/