Wittgenstein Projection: Population in thousands by highest level of e in Myanmar
Myanmar: Wittgenstein Projection: Population in thousands by highest level of e was 35.81 in 2100. ◆ Volatile
Wittgenstein Projection: Population in thousands by highest level of e in Myanmar, 2010–2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
In 2100, wittgenstein projection: population in thousands by highest level of e in Myanmar stood at 35.81. That is the lowest value across all 19 years on record.
The figure is down 39.1% over ten years.
Over the whole period, wittgenstein projection: population in thousands by highest level of e in Myanmar peaked at 2,522 in 2010 and was at its lowest, 35.81, in 2100.
That places Myanmar 58th out of 166 countries with data for 2100, putting it 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 | 2,421 | 2,319 | 2,522 | 2 |
| 2020s | 1,963 | 1,845 | 2,082 | 2 |
| 2030s | 1,479 | 1,360 | 1,597 | 2 |
| 2040s | 1,021 | 914.75 | 1,127 | 2 |
| 2050s | 633.37 | 547.65 | 719.08 | 2 |
| 2060s | 350 | 294.19 | 405.82 | 2 |
| 2070s | 181.1 | 151.13 | 211.07 | 2 |
| 2080s | 93.92 | 79.13 | 108.72 | 2 |
| 2090s | 51.94 | 45.05 | 58.83 | 2 |
| 2100s | 35.81 | 35.81 | 35.81 | 1 |
Countries ranked near Myanmar
More reference data data for Myanmar
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure left on Pa 6,661 (2050)
- Emission Totals - Emissions (CH4) - Burning - Crop residues 17.57 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - IPCC Agriculture 19,409 (2050)
- Emission Totals - Emissions (CH4) - Enteric Fermentation 1,449 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure applied to 2,918 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 4.58 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 19.7 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure Management 5,221 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 25.14 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 73.24 (2050)
Frequently asked questions
- What is wittgenstein projection: population in thousands by highest level of e in Myanmar?
- Wittgenstein projection: population in thousands by highest level of e in Myanmar was 35.81 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 Myanmar?
- The highest recorded value was 2,522 in 2010.
- What is the lowest wittgenstein projection: population in thousands by highest level of e recorded in Myanmar?
- The lowest recorded value was 35.81 in 2100.
- How does Myanmar rank for wittgenstein projection: population in thousands by highest level of e?
- Myanmar ranks 58th out of 166 countries with data for 2100.
- Is wittgenstein projection: population in thousands by highest level of e rising or falling in Myanmar?
- Over the last ten years it is down 39.1%. The long-run trend across the full record is volatile.
- Where does this Myanmar 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. Incomplete Primary. Total. Statizoid updates them automatically from the source API.
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About this data
Total population in thousands that has pre-primary education or incomplete primary 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/