Wittgenstein Projection: Population age 25-29 … 25-29 Primary. age in Moldova
Moldova: Wittgenstein Projection: Population age 25-29 … 25-29 Primary. age was 0 in 2100. ◆ Volatile
Wittgenstein Projection: Population age 25-29 in thousands by highest in Moldova, 2010–2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
Moldova recorded 0 for wittgenstein projection: population age 25-29 in thousands by highest in 2100. That is the lowest value across all 19 years on record.
The figure is down 100.0% over ten years.
Over the whole period, wittgenstein projection: population age 25-29 in thousands by highest in Moldova peaked at 5.76 in 2010 and was at its lowest, 0, in 2100.
That places Moldova 120th 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.
Wittgenstein Projection: Population age 25-29 … 25-29 Primary. age in Moldova, year by year
| Year | Value | Change |
|---|---|---|
| 2010 | 5.76 | — |
| 2015 | 4.91 | -14.8% |
| 2020 | 2.97 | -39.5% |
| 2025 | 1.62 | -45.5% |
| 2030 | 1.08 | -33.3% |
| 2035 | 0.97 | -10.2% |
| 2040 | 0.63 | -35.1% |
| 2045 | 0.44 | -30.2% |
| 2050 | 0.29 | -34.1% |
| 2055 | 0.19 | -34.5% |
| 2060 | 0.13 | -31.6% |
| 2065 | 0.09 | -30.8% |
| 2070 | 0.06 | -33.3% |
| 2075 | 0.04 | -33.3% |
| 2080 | 0.03 | -25.0% |
| 2085 | 0.02 | -33.3% |
| 2090 | 0.01 | -50.0% |
| 2095 | 0.01 | +0.0% |
| 2100 | 0 | -100.0% |
Moldova compared with similar countries
- Moldova's 0 is below the median for upper middle income countries, which is 1.72. (49 countries reporting)
Biggest year-on-year movements
Years where Wittgenstein Projection: Population age 25-29 … 25-29 Primary. age in Moldova changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.
| Year | Change | From | To |
|---|---|---|---|
| 2100 | -100.0% | 0.01 | 0 |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 5.33 | 4.91 | 5.76 | 2 |
| 2020s | 2.29 | 1.62 | 2.97 | 2 |
| 2030s | 1.02 | 0.97 | 1.08 | 2 |
| 2040s | 0.535 | 0.44 | 0.63 | 2 |
| 2050s | 0.24 | 0.19 | 0.29 | 2 |
| 2060s | 0.11 | 0.09 | 0.13 | 2 |
| 2070s | 0.05 | 0.04 | 0.06 | 2 |
| 2080s | 0.025 | 0.02 | 0.03 | 2 |
| 2090s | 0.01 | 0.01 | 0.01 | 2 |
| 2100s | 0 | 0 | 0 | 1 |
Countries ranked near Moldova
- 118 French Polynesia 0.01 compare
- 118 Norway 0.01 compare
- 120 Armenia 0 compare
- 120 Australia 0 compare
- 120 Austria 0 compare
- 120 Belarus 0 compare
- 120 Belgium 0 compare
- 120 Bosnia and Herzegovina 0 compare
- 120 Bulgaria 0 compare
- 120 Canada 0 compare
- 120 Croatia 0 compare
- 120 Cyprus 0 compare
- 120 Czechia 0 compare
- 120 Denmark 0 compare
- 120 Egypt 0 compare
- 120 Estonia 0 compare
- 120 France 0 compare
- 120 Georgia 0 compare
- 120 Greece 0 compare
- 120 Hong Kong 0 compare
- 120 Hungary 0 compare
- 120 Ireland 0 compare
- 120 Japan 0 compare
- 120 Kazakhstan 0 compare
- 120 South Korea 0 compare
- 120 Kyrgyzstan 0 compare
- 120 Latvia 0 compare
- 120 Lithuania 0 compare
- 120 Malaysia 0 compare
- 120 Malta 0 compare
- 120 Montenegro 0 compare
- 120 New Caledonia 0 compare
- 120 New Zealand 0 compare
- 120 North Macedonia 0 compare
- 120 Poland 0 compare
- 120 Puerto Rico 0 compare
- 120 Romania 0 compare
- 120 Russia 0 compare
- 120 Saudi Arabia 0 compare
- 120 Serbia 0 compare
- 120 Singapore 0 compare
- 120 Slovakia 0 compare
- 120 Slovenia 0 compare
- 120 Sweden 0 compare
- 120 Tajikistan 0 compare
- 120 Turkmenistan 0 compare
- 120 Ukraine 0 compare
- 120 Zimbabwe 0 compare
More reference data data for Moldova
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.2466 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.1366 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 0.6117 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.118 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.6117 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 0.8268 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.4303 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 0.5193 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 2.92 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.6426 (2050)
Frequently asked questions
- What is wittgenstein projection: population age 25-29 in thousands by highest in Moldova?
- Wittgenstein projection: population age 25-29 in thousands by highest in Moldova was 0 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 Moldova?
- The highest recorded value was 5.76 in 2010.
- What is the lowest wittgenstein projection: population age 25-29 in thousands by highest recorded in Moldova?
- The lowest recorded value was 0 in 2100.
- How does Moldova rank for wittgenstein projection: population age 25-29 in thousands by highest?
- Moldova ranks 120th out of 166 countries with data for 2100.
- Is wittgenstein projection: population age 25-29 in thousands by highest rising or falling in Moldova?
- Over the last ten years it is down 100.0%. The long-run trend across the full record is volatile.
- Where does this Moldova 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. Total. 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 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/