Wittgenstein Projection: Population age 25-29 in thousands by highest in Iran
Iran: Wittgenstein Projection: Population age 25-29 in thousands by highest was 1.09 in 2100. ◆ Volatile
Wittgenstein Projection: Population age 25-29 in thousands by highest 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 age 25-29 in thousands by highest in Iran stood at 1.09. That is the lowest value across all 19 years on record.
That represents a change of down 6.0% over ten years.
Over the whole period, wittgenstein projection: population age 25-29 in thousands by highest in Iran peaked at 277.2 in 2010 and was at its lowest, 1.09, in 2100.
That places Iran 39th out of 166 countries with data for 2100, putting it 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 | 221.24 | 165.28 | 277.2 | 2 |
| 2020s | 51.01 | 29.78 | 72.24 | 2 |
| 2030s | 11.86 | 8.61 | 15.12 | 2 |
| 2040s | 3.49 | 2.19 | 4.78 | 2 |
| 2050s | 1.7 | 1.59 | 1.8 | 2 |
| 2060s | 1.54 | 1.53 | 1.55 | 2 |
| 2070s | 1.48 | 1.42 | 1.53 | 2 |
| 2080s | 1.25 | 1.2 | 1.29 | 2 |
| 2090s | 1.15 | 1.13 | 1.16 | 2 |
| 2100s | 1.09 | 1.09 | 1.09 | 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 age 25-29 in thousands by highest in Iran?
- Wittgenstein projection: population age 25-29 in thousands by highest in Iran was 1.09 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 25-29 in thousands by highest recorded in Iran?
- The highest recorded value was 277.2 in 2010.
- What is the lowest wittgenstein projection: population age 25-29 in thousands by highest recorded in Iran?
- The lowest recorded value was 1.09 in 2100.
- How does Iran rank for wittgenstein projection: population age 25-29 in thousands by highest?
- Iran ranks 39th out of 166 countries with data for 2100.
- Is wittgenstein projection: population age 25-29 in thousands by highest rising or falling in Iran?
- Over the last ten years it is down 6.0%. The long-run trend across the full record is volatile.
- 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 age 25-29 in thousands by highest level of educational attainment. No Education. 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 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/