Wittgenstein Projection: Population in thousands by highest level of e in Haiti
Haiti: Wittgenstein Projection: Population in thousands by highest level of e was 10.97 in 2100. ◆ Volatile
Wittgenstein Projection: Population in thousands by highest level of e in Haiti, 2010–2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
Haiti recorded 10.97 for wittgenstein projection: population in thousands by highest level of e in 2100. That is the lowest value across all 19 years on record.
The figure is down 54.4% over ten years.
Over the whole period, wittgenstein projection: population in thousands by highest level of e in Haiti peaked at 939.42 in 2010 and was at its lowest, 10.97, in 2100.
Haiti ranks 68th of 166 countries on this measure, in the middle of the range.
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 | 895.31 | 851.2 | 939.42 | 2 |
| 2020s | 720.09 | 673.21 | 766.97 | 2 |
| 2030s | 534.58 | 489.34 | 579.82 | 2 |
| 2040s | 364.39 | 324.98 | 403.8 | 2 |
| 2050s | 227.49 | 198.91 | 256.07 | 2 |
| 2060s | 135.29 | 117.35 | 153.23 | 2 |
| 2070s | 78.07 | 66.84 | 89.3 | 2 |
| 2080s | 41.8 | 34.73 | 48.86 | 2 |
| 2090s | 20.23 | 16.38 | 24.07 | 2 |
| 2100s | 10.97 | 10.97 | 10.97 | 1 |
Countries ranked near Haiti
More reference data data for Haiti
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.0485 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 1.35 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 1.01 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 1.35 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.2934 (2050)
- Emission Totals - Emissions (CH4) - Enteric Fermentation 152.48 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Agricultural Soil 1,584 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Burning - Crop re 6.24 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - IPCC Agriculture 1,764 (2050)
- Emission Totals - Direct emissions (N2O) - Manure left on Pasture 3.72 (2050)
Frequently asked questions
- What is wittgenstein projection: population in thousands by highest level of e in Haiti?
- Wittgenstein projection: population in thousands by highest level of e in Haiti was 10.97 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 Haiti?
- The highest recorded value was 939.42 in 2010.
- What is the lowest wittgenstein projection: population in thousands by highest level of e recorded in Haiti?
- The lowest recorded value was 10.97 in 2100.
- How does Haiti rank for wittgenstein projection: population in thousands by highest level of e?
- Haiti ranks 68th out of 166 countries with data for 2100.
- Is wittgenstein projection: population in thousands by highest level of e rising or falling in Haiti?
- Over the last ten years it is down 54.4%. The long-run trend across the full record is volatile.
- Where does this Haiti 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/