PISA: Female 15-year-olds by mathematics proficiency level (%). Level in Austria
Austria: PISA: Female 15-year-olds by mathematics proficiency level (%). Level was 21.6% in 2018. ▬ Flat
PISA: Female 15-year-olds by mathematics proficiency level (%). Level in Austria, 2003–2018
Source: OECD Programme for International Student Assessment (PISA).
Analysis
The most recent figure for pisa: female 15-year-olds by mathematics proficiency level (%). level in Austria is 21.6%, measured in 2018.
Compared with earlier readings it is down 7.4% on the previous year and down 3.8% over ten years.
Over the whole period, pisa: female 15-year-olds by mathematics proficiency level (%). level in Austria peaked at 23.5% in 2012 and was at its lowest, 20.6%, in 2006.
Austria ranks 39th of 53 countries on this measure, in the middle of the range.
PISA: Female 15-year-olds by mathematics proficiency level (%). Level in Austria, year by year
| Year | Value | Change |
|---|---|---|
| 2003 | 22.7% | — |
| 2006 | 20.6% | -9.3% |
| 2009 | 22.4% | +8.8% |
| 2012 | 23.5% | +4.9% |
| 2015 | 23.3% | -1.0% |
| 2018 | 21.6% | -7.4% |
Austria compared with similar countries
- Austria's 21.6% is below the median for high income countries, which is 22.4%, 96% of the median. (42 countries reporting)
- Austria's 21.6% is below the median for Europe & Central Asia, which is 22.6%, 96% of the median. (33 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 21.9% | 20.6% | 22.7% | 3 |
| 2010s | 22.8% | 21.6% | 23.5% | 3 |
Countries ranked near Austria
More reference data data for Austria
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.6222 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.2597 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 1.55 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.1986 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 1.55 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 2.09 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 1.37 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 1.36 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 7.84 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 1.08 (2050)
Frequently asked questions
- What is pisa: female 15-year-olds by mathematics proficiency level (%). level in Austria?
- Pisa: female 15-year-olds by mathematics proficiency level (%). level in Austria was 21.6% in 2018, according to OECD Programme for International Student Assessment (PISA).
- What is the highest pisa: female 15-year-olds by mathematics proficiency level (%). level recorded in Austria?
- The highest recorded value was 23.5% in 2012.
- What is the lowest pisa: female 15-year-olds by mathematics proficiency level (%). level recorded in Austria?
- The lowest recorded value was 20.6% in 2006.
- How does Austria rank for pisa: female 15-year-olds by mathematics proficiency level (%). level?
- Austria ranks 39th out of 53 countries with data for 2018.
- Is pisa: female 15-year-olds by mathematics proficiency level (%). level rising or falling in Austria?
- Over the last ten years it is down 3.8%. The long-run trend across the full record is flat.
- Where does this Austria data come from?
- The figures come from OECD Programme for International Student Assessment (PISA), published as part of PISA: Female 15-year-olds by mathematics proficiency level (%). Level 2. Statizoid updates them automatically from the source API.
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About this data
Percentage of 15-year-old female students scoring higher than 420 but lower than or equal to 482 points on the PISA mathematics scale. At Level 2, students can interpret and recognize situations in contexts that require no more than direct inference. They can extract relevant information from a single source and make use of a single representational mode. Students at this level can employ basic algorithms, formulae, procedures, or conventions to solve problems involving whole numbers. They are capable of making literal interpretations of the results. Data reflects country performance in the stated year according to PISA reports, but may not be comparable across years or countries. Consult the PISA website for more detailed information: http://www.oecd.org/pisa/