Wittgenstein Projection: Population age 15-19 in thousands by highest in Mali
Mali: Wittgenstein Projection: Population age 15-19 in thousands by highest was 10.86 in 2100. β Volatile
Wittgenstein Projection: Population age 15-19 in thousands by highest in Mali, 2010β2100
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 age 15-19 in thousands by highest in Mali is 10.86, measured in 2100. That is the lowest value across all 19 years on record.
Compared with earlier readings it is down 63.7% over ten years.
Over the whole period, wittgenstein projection: population age 15-19 in thousands by highest in Mali peaked at 765.37 in 2025 and was at its lowest, 10.86, in 2100.
Mali ranks 13th of 166 countries on this measure, in the top 10%.
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 | 640.92 | 605.32 | 676.53 | 2 |
| 2020s | 750.36 | 735.34 | 765.37 | 2 |
| 2030s | 729.51 | 705.75 | 753.27 | 2 |
| 2040s | 596.08 | 553.14 | 639.01 | 2 |
| 2050s | 411.55 | 365.08 | 458.02 | 2 |
| 2060s | 245.5 | 210.08 | 280.92 | 2 |
| 2070s | 129.44 | 106.33 | 152.54 | 2 |
| 2080s | 60.06 | 47.8 | 72.32 | 2 |
| 2090s | 24.04 | 18.15 | 29.92 | 2 |
| 2100s | 10.86 | 10.86 | 10.86 | 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 15-19 in thousands by highest in Mali?
- Wittgenstein projection: population age 15-19 in thousands by highest in Mali was 10.86 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 15-19 in thousands by highest recorded in Mali?
- The highest recorded value was 765.37 in 2025.
- What is the lowest wittgenstein projection: population age 15-19 in thousands by highest recorded in Mali?
- The lowest recorded value was 10.86 in 2100.
- How does Mali rank for wittgenstein projection: population age 15-19 in thousands by highest?
- Mali ranks 13th out of 166 countries with data for 2100.
- Is wittgenstein projection: population age 15-19 in thousands by highest rising or falling in Mali?
- Over the last ten years it is down 63.7%. The long-run trend across the full record is volatile.
- 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 15-19 in thousands by highest level of educational attainment. No Education. 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 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/