Wittgenstein Projection: Population age 25-29 in thousands by highest in Mali
Mali: Wittgenstein Projection: Population age 25-29 in thousands by highest was 151.47 in 2100. β² Rising
Wittgenstein Projection: Population age 25-29 in thousands by highest in Mali, 2010β2100
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 Mali stood at 151.47.
Compared with earlier readings it is down 23.0% over ten years.
Over the whole period, wittgenstein projection: population age 25-29 in thousands by highest in Mali peaked at 268.45 in 2065 and was at its lowest, 31.48, in 2010.
That places Mali 9th 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 | 32.02 | 31.48 | 32.57 | 2 |
| 2020s | 54.7 | 45.17 | 64.23 | 2 |
| 2030s | 105.06 | 89.83 | 120.3 | 2 |
| 2040s | 168.47 | 152.49 | 184.45 | 2 |
| 2050s | 230.24 | 216.43 | 244.05 | 2 |
| 2060s | 266.74 | 265.02 | 268.45 | 2 |
| 2070s | 259.51 | 253.56 | 265.46 | 2 |
| 2080s | 227.68 | 217.37 | 237.98 | 2 |
| 2090s | 186.25 | 175.81 | 196.68 | 2 |
| 2100s | 151.47 | 151.47 | 151.47 | 1 |
Countries ranked near Mali
More reference data data for Mali
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.3081 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 9.25 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 11.03 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.4025 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 11.03 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 1.03 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.4728 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 39.47 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 47.61 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 2.19 (2050)
Frequently asked questions
- What is wittgenstein projection: population age 25-29 in thousands by highest in Mali?
- Wittgenstein projection: population age 25-29 in thousands by highest in Mali was 151.47 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 Mali?
- The highest recorded value was 268.45 in 2065.
- What is the lowest wittgenstein projection: population age 25-29 in thousands by highest recorded in Mali?
- The lowest recorded value was 31.48 in 2010.
- How does Mali rank for wittgenstein projection: population age 25-29 in thousands by highest?
- Mali ranks 9th out of 166 countries with data for 2100.
- Is wittgenstein projection: population age 25-29 in thousands by highest rising or falling in Mali?
- Over the last ten years it is down 23.0%. The long-run trend across the full record is rising.
- Where does this Mali 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. Primary. Female. 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 in the specified age group that has completed primary education or incomplete lower 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/