Wittgenstein Projection: Population in thousands by highest level of e in Ghana
Ghana: Wittgenstein Projection: Population in thousands by highest level of e was 386.14 in 2100. ◆ Volatile
Wittgenstein Projection: Population in thousands by highest level of e in Ghana, 2010–2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
The most recent figure for wittgenstein projection: population in thousands by highest level of e in Ghana is 386.14, measured in 2100. That is the lowest value across all 19 years on record.
That represents a change of down 38.0% over ten years.
Over the whole period, wittgenstein projection: population in thousands by highest level of e in Ghana peaked at 3,183 in 2020 and was at its lowest, 386.14, in 2100.
That places Ghana 18th 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 | 3,129 | 3,077 | 3,180 | 2 |
| 2020s | 3,163 | 3,143 | 3,183 | 2 |
| 2030s | 2,987 | 2,918 | 3,056 | 2 |
| 2040s | 2,641 | 2,536 | 2,745 | 2 |
| 2050s | 2,182 | 2,059 | 2,304 | 2 |
| 2060s | 1,693 | 1,573 | 1,813 | 2 |
| 2070s | 1,239 | 1,134 | 1,344 | 2 |
| 2080s | 857.58 | 772.5 | 942.66 | 2 |
| 2090s | 558.43 | 494.12 | 622.74 | 2 |
| 2100s | 386.14 | 386.14 | 386.14 | 1 |
Countries ranked near Ghana
More reference data data for Ghana
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.2805 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 1.89 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 2.69 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.1989 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 2.69 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 0.9405 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.9478 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 8.22 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 12.64 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 1.08 (2050)
Frequently asked questions
- What is wittgenstein projection: population in thousands by highest level of e in Ghana?
- Wittgenstein projection: population in thousands by highest level of e in Ghana was 386.14 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 Ghana?
- The highest recorded value was 3,183 in 2020.
- What is the lowest wittgenstein projection: population in thousands by highest level of e recorded in Ghana?
- The lowest recorded value was 386.14 in 2100.
- How does Ghana rank for wittgenstein projection: population in thousands by highest level of e?
- Ghana ranks 18th out of 166 countries with data for 2100.
- Is wittgenstein projection: population in thousands by highest level of e rising or falling in Ghana?
- Over the last ten years it is down 38.0%. The long-run trend across the full record is volatile.
- Where does this Ghana 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. 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 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/