Proportion of students at the end of lower secondary education in Poland
Poland: Proportion of students at the end of lower secondary education was 73.8% in 2018. ▲ Rising
Proportion of students at the end of lower secondary education in Poland, 2000–2018
Source: UNESCO Institute for Statistics. Measured in %.
Analysis
Poland recorded 73.8% for proportion of students at the end of lower secondary education in 2018. That is the highest value across all 7 years on record.
Compared with earlier readings it is up 3.3% on the previous year and up 17.3% over ten years.
Over the whole period, proportion of students at the end of lower secondary education in Poland peaked at 73.8% in 2018 and was at its lowest, 51.6%, in 2000.
Poland ranks 6th of 41 countries on this measure, in the top quarter.
Proportion of students at the end of lower secondary education in Poland, year by year
| Year | % | Change |
|---|---|---|
| 2000 | 51.6% | — |
| 2003 | 58.9% | +14.3% |
| 2006 | 63.9% | +8.5% |
| 2009 | 63.0% | -1.5% |
| 2012 | 72.0% | +14.4% |
| 2015 | 71.5% | -0.8% |
| 2018 | 73.8% | +3.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 59.3% | 51.6% | 63.9% | 4 |
| 2010s | 72.5% | 71.5% | 73.8% | 3 |
Countries ranked near Poland
More reference data data for Poland
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 2.62 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.499 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 9.36 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.8896 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 9.36 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 8.77 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 5.77 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 2.57 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 43.86 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 4.84 (2050)
Frequently asked questions
- What is proportion of students at the end of lower secondary education in Poland?
- Proportion of students at the end of lower secondary education in Poland was 73.8% in 2018, according to UNESCO Institute for Statistics.
- What is the highest proportion of students at the end of lower secondary education recorded in Poland?
- The highest recorded value was 73.8% in 2018.
- What is the lowest proportion of students at the end of lower secondary education recorded in Poland?
- The lowest recorded value was 51.6% in 2000.
- How does Poland rank for proportion of students at the end of lower secondary education?
- Poland ranks 6th out of 41 countries with data for 2018.
- Is proportion of students at the end of lower secondary education rising or falling in Poland?
- Over the last ten years it is up 17.3%. The long-run trend across the full record is rising.
- Where does this Poland data come from?
- The figures come from UNESCO Institute for Statistics, published as part of Proportion of students at the end of lower secondary education achieving at least a minimum proficiency level in mathematics, very poor socioeconomic background, both sexes (%). Statizoid updates them automatically from the source API.
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About this data
Percentage of children at the end of lower secondary education reaching at least a minimum proficiency level in mathematics. A minimum proficiency level (MPL) is the benchmark of basic knowledge in a domain (mathematics, reading, etc.) measured through learning assessments. The indicator is calculated as the number of children and/or young people at the relevant stage of education n in a given year t achieving or exceeding the pre-defined proficiency level in a given subject s, expressed as a percentage of the total number of children and/or young people at stage of education n, in year t, in any proficiency level in subject s. The higher the value of the indicator, the higher the proportion of children or young adults who have acquired the minimum level of meaningful competencies. Data are calculated by the UNESCO Institute for Statistics from sources that include the Programme for International Student Assessment (PISA), Programme for International Student Assessment for Development (PISA-D), Trends in International Mathematics and Science Study (TIMSS), Progress in International Reading Literacy Study (PIRLS), El Laboratorio Latino americano de Evaluación de la Calidad de la Educación (LLECE), Programme d’analyse des systèmes éducatifs de la confemen (PASEC), Southern and Eastern Africa Consortium for Monitoring Education Quality (SACMEQ), Pacific Islands Literacy and Numeracy Assessment (PILNA), national assessments data collected through the Catalogue of Learning Assessments (CLA) and/or available in national reports, and population-based assessments (Early Grade Reading Assessment (EGRA) and Early Grade Mathematics Assessment (EGMA), UNICEF Multiple Indicator Cluster Surveys (MICS), People’s Action for Learning (PAL) NETWORK: e.g. Annual Status of Education Report (ASER), UWEZO, etc.)). For more information, consult the UNESCO Institute for Statistics: http://uis.unesco.org/