Upper secondary attainment is often seen as a minimum qualification for successful labour market participation. Although the general increase in educational attainment has seen a parallel decline in the share of 25-34 year-olds without upper secondary attainment, 14% of young adults across the OECD still left school without an upper secondary qualification. In India, the share is 66%, which is higher than the OECD average.
Higher educational attainment is often associated with better employment prospects and India is no exception. In 2020 the employment rate among 25-34 year-olds with tertiary education in India was 4 percentage points higher than among those with below upper secondary attainment and 5 percentage points higher than among those with upper secondary or post-secondary non-tertiary attainment. On average across OECD countries, the employment rate among 25-34 year-olds with a tertiary qualification was 26 percentage points higher than among those with below upper secondary attainment and 8 percentage points higher than among those with upper secondary or post-secondary non-tertiary attainment. While the positive link between educational attainment and employment rates holds for both men and for women across the OECD, it is particularly strong for women. In India, 28% of women with below upper secondary attainment were employed in 2020, compared to 29% of those with tertiary attainment. In contrast, the figures were 95% and 76% for men.
Across the OECD, the labour market benefits of tertiary attainment have proved especially strong during economic crises. However, this was not the case during the COVID-19 pandemic in India. Between 2019 and 2020, unemployment for 25-34 year-old workers with below upper secondary attainment fell by 1 percentage point, by 0.6 percentage points for workers with upper secondary attainment and increased by 1.1 percentage points for workers with tertiary attainment.
Education at a Glance 2022
India
The output of educational institutions and the impact of learning
Financial resources invested in education
Public spending on primary to tertiary education was 14.5% of total government expenditure in India (Figure 1), higher than the OECD average (10.6%). Also, relative to GDP, public spending on primary to tertiary education (4.5%) is higher than the OECD average (4.4%).
Figure 1. Composition of total public expenditure on education as a percentage of total government expenditure (2019)
Primary to tertiary education (including R&D), in per cent
1. Year of reference differs from 2019. Refer to the source table for more details.
2. Primary education includes pre-primary programmes.
Countries are ranked in descending order of total public expenditure on education as a percentage of total government expenditure.
Source: OECD/UIS/Eurostat (2022), Table C4.1. See Source section for more information and Annex 3 for notes (https://www.oecd.org/education/education-at-a-glance/EAG2022_X3-C.pdf).
References
OECD (2022), Education at a Glance 2022: OECD Indicators, OECD Publishing, Paris, https://dx.doi.org/10.1787/69096873-en.
OECD (2022), “Regional education”, OECD Regional Statistics (database), https://dx.doi.org/10.1787/213e806c-en.
More information
For more information on Education at a Glance 2022 and to access the full set of Indicators, see: https://doi.org/10.1787/3197152b-en
For more information on the methodology used during the data collection for each indicator, the references to the sources and the specific notes for each country, See Annex 3 (https://www.oecd.org/education/education-at-a-glance/EAG2022_X3.pdf).
For general information on the methodology, please refer to the OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications (https://doi.org/10.1787/9789264304444-en).
Updated data can be found on line at http://dx.doi.org/10.1787/eag-data-en and by following the StatLinks under the tables and charts in the publication.
Data on subnational regions for selected indicators are available in the OECD Regional Statistics (database) (OECD, 2022). When interpreting the results on subnational entities, readers should take into account that the population size of subnational entities can vary widely within countries. For example, regional variation in enrolment may be influenced by students attending school in a different region from their area of residence, particularly at higher levels of education. Also, regional disparities tend to be higher when more subnational entities are used in the analysis.
Explore, compare and visualise more data and analysis using the Education GPS:
https://gpseducation.oecd.org/
The data on educational responses during COVID-19 were collected and processed by the OECD based on the Joint Survey on National Responses to COVID-19 School Closures, a collaborative effort conducted by the United Nations Educational, Scientific and Cultural Organization (UNESCO); the UNESCO Institute for Statistics (UIS); the United Nations Children's Fund (UNICEF); the World Bank; and the OECD.