Indicator D2. What is the student-teacher ratio and how big are classes?

The ratio of students to teaching staff compares the number of students (full-time equivalents) to the number of teachers (full-time equivalents) at a given level of education and in similar types of institutions. This ratio does not take into account the amount of instruction time students have relative to the length of teachers’ working days, nor how much time teachers spend teaching. Therefore, it cannot be interpreted in terms of class sizes (Box D2.1).

On average across OECD countries, there are 15 students for every teacher at primary level but the ratio ranges from 9 to 1 in Greece and Luxembourg to 26 to 1 in Mexico. On average, there are fewer students per teacher at secondary level (13 students per teacher) than at primary level. This reduction in the student-teacher ratio between primary and secondary level may result from differences in annual instruction time (as instruction hours tend to increase with the education level, so does the number of teachers) or from differences in teaching hours (teaching time decreases with the level of education as teacher specialisation increases). Only Chile, Colombia, Costa Rica, Hungary, Mexico, and the Netherlands, have a larger student to teacher ratio at secondary level than at primary level (Table D2.1).

On average, the student-teacher ratio is about the same in lower and upper secondary education (13 students per teacher). In some countries, however, it varies widely between these two levels. This is the case in Finland, where there are over twice as many students per teacher at the upper secondary level than at the lower secondary level. In Mexico, it is the opposite case, with 33 students per teacher at lower secondary level compared to 22 at upper secondary level (Table D2.1).

At the upper secondary level, the programme orientation can strongly influence the student-teacher ratio although on average the ratios of students to teaching staff in upper secondary vocational and general programmes are similar (13 to 1). In about 40% of OECD countries with data, the ratio is greater in vocational programmes than in general ones. In Latvia, New Zealand and the United Kingdom, there are about 9 students more per teacher in vocational programmes than in general ones. In other countries such as Brazil and Mexico, the difference is reversed: there are over ten students more per teacher in general programmes (Figure D2.1).

A combination of several factors may influence the variation in student-teacher ratios between vocational and general upper secondary programmes. In some countries, vocational programmes are significantly work-based, so vocational students spend considerable time outside the school resulting in fewer teachers (OECD, 2017[5]). Countries where more than half of upper secondary vocational students are enrolled in combined school- and work-based programmes tend to have an equal or higher number of students per teacher in vocational than in general programmes. In contrast, in most countries where all upper secondary vocational students are enrolled in school-based programmes, the student-teacher ratio in general programmes tends to be the same or higher than in vocational ones.

However, programme type alone does not explain all differences between student-teacher ratio in vocational and general upper secondary education. Other factors, such as field of study, also influence the student-teacher ratio in vocational programmes. Some fields require greater instructor attention and supervision, particularly those where students have access to more sophisticated equipment (Hoeckel, 2008[6]). This may be particularly the case in technical fields such as engineering, manufacturing and construction, or some specialties in health and welfare. For example, Latvia and the United Kingdom have among the lowest shares of upper secondary vocational students graduating from the combined fields of engineering, manufacturing and construction and health and welfare across OECD countries (see Box B7.1). In both countries, there are nine more students per teacher in vocational than in general programmes, the highest difference across OECD countries. In contrast, the fields of study of upper secondary vocational graduates in Austria, Germany and Switzerland are more diversified, which may explain the similar student-teacher ratios across programme orientations in these countries. These differences have important implications for the cost of vocational instruction, as advanced vocational training in specialised fields of study requires both complex machinery and a greater level of human resources (Klein, 2001[7]). In most countries with available data, the cost per student in upper secondary vocational programmes is higher than in general ones (see Box C1.1).

At tertiary level, there are on average 15 students per teaching staff member. The student-teacher ratio ranges from 4 to 1 in Luxembourg to over 25 to 1 in Colombia and Indonesia. The difference in student-teaching staff ratios across short-cycle tertiary and bachelor’s, masters and doctoral or equivalent level varies across countries with available data. These results should be interpreted with caution, however, as the student-teacher ratio remains a limited measure of the level of teaching resources at tertiary level, where research staff may make up a significant share of academic personnel. Moreover, the relatively low enrolment in short-cycle tertiary in some countries limits comparability across tertiary levels (see Indicator B1).

On average across OECD countries with available data, the ratios of students to teaching staff are slightly higher in public institutions than in private institutions at lower and upper secondary level (Table D2.2). However, this can differ significantly across countries. At lower secondary level, about 40% of OECD and partner countries with available data have more students per teacher in private institutions than in public ones. Among those countries, the largest difference between private and public institutions is found in Chile, Portugal and Spain -where there are at least 5 more students per teacher in private institutions than in public ones- and particularly in Luxembourg with 17 more students. In contrast, in Mexico and the Russian Federation, the ratios of students to teaching staff is over two times higher in public institutions. At upper secondary level, the student-teacher ratio is larger in public institutions than in private institutions in 18 countries, smaller in public institutions in 13 countries, and similar for both sectors in 8 countries. Mexico displays the largest variation among OECD countries with 10 students more per teacher in public than in private institutions at this level. Among partner countries, the highest difference is observed in South Africa, with 14 more students per teacher in public than in private upper secondary institutions (Figure D2.2).

Although on average across OECD countries the difference between the student-teacher ratio in public and private institutions tends be the same at lower and upper secondary level, the range of variation differs across countries. In about 40% of OECD countries with data, there are larger variations in the student-teacher ratio between public and private institutions at upper secondary level than at lower secondary. For example, although the student-teacher ratio at lower secondary level is the same for public and private institutions in both Denmark and Italy, at upper secondary level, Denmark has seven more students per teacher in public institutions than in private ones and Italy has four more. In other countries, the difference narrows at upper secondary level: while Mexico has 22 more students per teacher in public institutions than in private ones at lower secondary level, the difference falls to 9 at upper secondary level. Finally, in some countries, the situation is reversed. In Japan, the student-teacher ratio is larger in public institutions than private ones at lower secondary level, but it is the other way around at upper secondary. This mixed pattern in upper secondary education may, in part, reflect differences in the types of programmes offered in public and private institutions. For instance, in Norway, few private schools offer vocational programmes, which have a slightly lower student-teacher ratio than general programmes. In addition, in a number of countries, the provision of private education increases in upper secondary education, which may also influence the student-teacher ratio at this level (Table D2.2and Figure D2.2).

The indicator on class size is limited to primary and lower secondary education. Class sizes are difficult to define and compare at higher levels, as students are often split into several different classes at these levels, depending on the subject area.

At the primary level, the average class in OECD countries has 21 pupils. There are fewer than 25 pupils per class in all the countries with available data, with the exception of Chile, Israel, Japan, and the United Kingdom. At the lower secondary level, the average class in OECD countries has 23 students. Among all countries with available data, the number varies from fewer than 20 students per class in Estonia, Finland, Latvia, Lithuania, the Russian Federation and the Slovak Republic to 30 students or more per class in Chile, Colombia, Costa Rica and Japan (Table D2.3).

The number of students per class tends to increase between primary and lower secondary education, although to a varying extent across countries. In Costa Rica, this increase corresponds to 18 students, the highest difference across OECD countries. On the other hand, in the United Kingdom and, to a lesser extent, Australia, Chile, Finland, Hungary, Latvia and the Russian Federation, the number of students per class falls between these two levels of education (Table D2.3).

Class size is one factor that parents may consider when deciding on a school for their children, particularly at lower levels of education. Hence, the difference in average class size between public and private schools (and between different types of private institutions) could influence enrolment in different types of institutions.

Differences in class sizes between public and private institutions are similar to those observed for student-teacher ratios. On average across OECD countries, class sizes do not differ between public and private institutions by more than one student per class in both primary and lower secondary education. However, in some countries (including Brazil, Colombia, the Czech Republic, Latvia, Poland, and the Russian Federation), the average class in public primary schools has more than six additional students compared to the average class in private schools (Table D2.3). However, with the exception of Brazil and Colombia, the private sector is relatively small in all of these countries, representing at most 6% of students at the primary level (OECD, 2019[13]). In contrast, in Chile, Greece and Korea, the average primary class in private institutions is larger than in public institutions by at least four students (Figure D2.3).

At the lower secondary level, where private institutions are more prevalent, the comparison of class size between public and private institutions shows even larger variations. For example, in Costa Rica, there are on average 15 students less per class in private institutions than in public ones. The average class in private lower secondary institutions is larger than in public institutions in 8 countries, smaller in 17 countries and the same in 7 countries (Figure D2.3).

Between 2005 and 2018, class sizes have fallen at primary level and lower secondary level on average across OECD countries. At primary level, while class size decreased by 2% on average, there are strong differences among countries. About half of countries experienced an increase between 2005 and 2018, with Mexico and the Russian Federation displaying the most notable increases of 21% and 29% respectively. In contrast, primary class sizes in Korea decreased by almost 30% over the same period, the highest decline over the same period across countries with data. At the lower secondary level, the average class size fell by 7% between 2005 and 2018. This average masks considerably larger changes in individual countries. In Greece and Korea, for example, the average class size in lower secondary education has decreased by about 20-25% over the past decade whereas it increased by 3% or more in France, and Spain (Table D2.3).

Changes in class size may reflect efforts to balance the supply of teachers with changes in the student population. Countries with lower than average class sizes may see an increasing trend. For example, small class sizes in Lithuania results from both a high concentration of teachers in the active population and a declining student base (Shewbridge et al., 2016[14]). As a result, primary class size has increased by 17% between 2005 and 2018 as new recruits to the teaching profession are limited. In 2018, only 5% of primary teachers were under the age of 30, one of the lowest across OECD countries. In contrast, countries such as Chile and Korea with higher than average primary class sizes have both seen a notable decline between 2005 and 2018 (Table D2.3). In Chile, this is likely due to a rise in primary teacher numbers, which increased by more than 10% since 2014. In contrast, in Korea, declining student numbers has likely contributed to the fall in class size (OECD, 2019[13]).

Class size, along with instruction time and teaching time, determines the number of teachers an education system requires. It is therefore an important parameter in understanding the level of expenditure allocated to staff compensation in education. Countries make different choices when investing their resources which affect the salary cost of teachers per student (Box D2.3).

There are two categories of instructional personnel (teachers):

  • Teachers’ aides and teaching/research assistants include non-professional personnel or students who support teachers in providing instruction to students.

  • Teaching staff refers to professional personnel directly involved in teaching to students. The classification includes classroom teachers, special-education teachers and other teachers who work with a whole class of students in a classroom, in small groups in a resource room, or in one-to-one teaching situations inside or outside a regular class. Teaching staff also include departmental chairs whose duties include some teaching, but exclude non-professional personnel who support teachers in providing instruction to students, such as teachers’ aides and other paraprofessional personnel.

Class size is calculated by dividing the number of students enrolled by the number of classes. In order to ensure comparability among countries, special-needs programmes are excluded. Data include only regular programmes at primary and lower secondary levels of education, and exclude teaching in subgroups outside the regular classroom setting.

The ratio of students to teaching staff is obtained by dividing the number of full-time equivalent students at a given level of education by the number of full-time equivalent teachers at that level and in similar types of institutions. At tertiary level, the student-teacher ratio is calculated using data on academic staff instead of teachers.

For the ratio of students to teachers to be meaningful, consistent coverage of personnel and enrolment data are needed. For instance, if teachers in religious schools are not reported in the personnel data, then students in those schools must also be excluded.

For more information, please see the OECD Handbook for Internationally Comparative Education Statistics 2018 (OECD, 2018[15]) and Annex 3 for country-specific notes (https://doi.org/10.1787/69096873-en).

Data refer to the academic year 2017/18 and are based on the UNESCO-UIS/OECD/EUROSTAT data collection on education statistics administered by the OECD in 2019 (for details, see Annex 3 at https://doi.org/10.1787/69096873-en).

References

[12] Department for Education (2020), Coronavirus (COVID-19): Implementing protective measures in education and childcare settings, GOV.UK website, https://www.gov.uk/government/publications/coronavirus-covid-19-implementing-protective-measures-in-education-and-childcare-settings (accessed on 20 May 2020).

[2] Fredriksson, P., B. Öckert and H. Oosterbeek (2013), “Long-term effects of class size”, Quarterly Journal of Economics, Vol. 128/1, pp. 249-285, https://doi.org/10.1093/qje/qjs048.

[6] Hoeckel, K. (2008), Costs and Benefits in Vocational Education and Training, OECD, Paris, https://www.oecd.org/education/skills-beyond-school/41538706.pdf (accessed on 26 May 2020).

[7] Klein, S. (2001), Financing Vocational Education: A State Policymaker’s Guide, RTI International, http://www.rti.org/sites/default/files/resources/financing_vocational_education.pdf.

[10] MEXT (2020), Gakkou niokeru shingata coronavirus kansenshou nikansuru eiseikanri manual - Gakkou no atarashii seikatsu youshiki [COVID-19 hygiene management at schools - New lifestyle at schools], Ministry of Education, Culture, Sports, Science and Technology, Japan, https://www.mext.go.jp/content/20200522_mxt_kouhou02_mext_00029_01.pdf (accessed on 25 May 2020).

[11] Ministère de l’Education Nationale et de la Jeunesse (2020), Réouverture des écoles et des établissements scolaires [Reopening of schools and educational establishments], Ministère de l’Education Nationale et de la Jeunesse, France, https://www.education.gouv.fr/bo/20/Hebdo19/MENE2011220C.htm (accessed on 20 May 2020).

[9] OECD (2020), Key country policy responses, https://oecd.github.io/OECD-covid-action-map/data/CoronavirusUpdate_AllCountries_Public.xlsx (accessed on 30 June 2020).

[13] OECD (2019), Education at a Glance Database, https://stats.oecd.org/ (accessed on 6 July 2018).

[4] OECD (2019), Working and Learning Together: Rethinking Human Resource Policies for Schools, OECD Reviews of School Resources, OECD Publishing, Paris, https://dx.doi.org/10.1787/b7aaf050-en.

[15] OECD (2018), OECD Handbook for Internationally Comparative Education Statistics 2018: Concepts, Standards, Definitions and Classifications, OECD Publishing, Paris, https://doi.org/10.1787/9789264304444-en.

[5] OECD (2017), Education at a Glance 2017: OECD Indicators, OECD Publishing, Paris, https://doi.org/10.1787/eag-2017-en.

[3] OECD (2016), PISA 2015 Results (Volume II): Policies and Practices for Successful Schools, PISA, OECD Publishing, Paris, https://doi.org/10.1787/9789264267510-en.

[1] Piketty, T. and M. Valenaire (2006), “L’impact de la taille des classes sur la réussite scolaire dans les écoles, collèges et lycées français”, Les Dossiers: Enseignement scolaire, Vol. 173.

[8] Schleicher, A. and F. Remiers (2020), Schooling disrupted schooling rethought :How the Covid-19 pandemic is changing education, https://read.oecd-ilibrary.org/view/?ref=133_133390-1rtuknc0hi&title=Schooling-disrupted-schooling-rethought-How-the-Covid-19-pandemic-is-changing-education (accessed on 3 June 2020).

[14] Shewbridge, C. et al. (2016), OECD Reviews of School Resources: Lithuania 2016, OECD Reviews of School Resources, OECD Publishing, Paris, https://dx.doi.org/10.1787/9789264252547-en.

Table D2.1 Ratio of students to teaching staff in educational institutions, by level of education (2018)

Table D2.2 Ratio of students to teaching staff, by type of institution (2018)

Table D2.3 Average class size, by type of institution (2018) and index of change between 2005 and 2018

WEB Table D2.4 Contribution of various factors to salary cost of teachers per student in primary education (2018)

WEB Table D2.5 Factors used to compute the salary cost of teachers per student in public institutions, in primary education (2018)

StatLink: https://doi.org/10.1787/888934165320

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