Inter State Variations in Education Enrolment Patterns in India
Authors
R.Karthikeyan
Associate Professor of Economics, AVC College (Autonomous), (Affiliated to Bharathidasan University, Tiruchirappalli), Mayiladuthurai- 609 305 (IN)
V.Nalini
Ph.D. Scholar in Economics, AVC College (Autonomous), (Affiliated to Bharathidasan University, Tiruchirappalli), Mayiladuthurai- 609 305 (IN)
Article Information
DOI: 10.51583/IJLTEMAS.2026.15020000048
Subject Category: Management
Volume/Issue: 15/2 | Page No: 553-567
Publication Timeline
Submitted: 2026-03-09
Published: 2026-03-09
Abstract
Education plays an important role in building self-confidence among women it also enables to change she/her status in the society. Education enables and builds confidence to take decisions in a better way. A quality education is the foundation of sustainable development. Education for sustainable development ensuring equal access for all women and men to affordable and quality technical, vocational and tertiary education, including university; and eliminating gender disparities in education and ensure equal access to all levels of education and vocational training for the vulnerable, including persons with disabilities, indigenous peoples and children in vulnerable situations. The present paper mainly aims to study on the regional inequalities in the enrolment on education at macro level; to have a descriptive analysis on the State wise and Level wise enrolment Patterns, Disparity in Education Enrolment; to analyse the extent of inequalities in education in India; and to offer possible strategies for strengthening the education and bridging the interstate variations in India. The study is a descriptive study based on secondary data mainly gathered from Various Issues of Educational Statistics – At a Glance, published by Government of India, Ministry of Human Resource Development, New Delhi and The Unified District Information System for Education Plus (UDISE Plus) published by the Department of School Education & Literacy, Ministry of Education, Govt of India. Based on the UDISE Plus report it is observed that the GPI for primary education in India stands at 1.03, indicating a slight favorability towards girls. Several states and union territories show encouraging numbers, such as Andaman and Nicobar Islands (1.05), Arunachal Pradesh (1.01), Bihar (1.03), and Delhi (1.07). These regions demonstrate a relatively higher enrollment ratio for girls at the primary level, contributing to gender parity in early education. At the Upper Primary level, the Gender Parity Index for India is 1, indicating equal participation of girls and boys. Achieving universal school education by 2030 demands a multi-faceted approach, to achieve the goal; India must address systemic challenges through targeted policy interventions to bridge gaps in access, quality, and equity, ensuring every child receives a meaningful education. India’s policy ecosystem for strengthening the education sector as a whole with the introduction of the NEP, updated guidelines, regulations for academic collaboration and mutual recognition of qualifications, building more world class infrastructures, providing welfare facilities and permissions for foreign branch campuses. Further, India's education sectors require unwavering focus to unlock the nation's true potential through integrated, accountable, and adaptive policy frameworks to build a future ready workforce.
Keywords
Gross Enrolment Ratio, NER, ANER, ASER, Gender Parity Index, New Education Policy
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References
1. Desai S, Adams CD, Dubey A (2006), “In the Margins: Social Inequalities in Children’s Educational Outcomes in India” Paper presented at the annual meeting of the Population Association of America; Los Angeles [Google Scholar] [Crossref]
2. Dreze J, Sen A. (1995) India: Economic Development and Social Opportunity Oxford University Press; New Delhi. [Google Scholar] [Crossref]
3. Drèze, J. and G. Kingdon. (2001),” School Participation in Rural India”, Review of Development Economics, Vol. 5, No. 1, pP 1–33. [Google Scholar] [Crossref]
4. Government of India, Educational Statistics – At a Glance, Ministry of Human Resource Development, Bureau of Planning, Monitoring & Statistics, New Delhi [Google Scholar] [Crossref]
5. Government of India, the Unified District Information System for Education Plus (UDISE Plus), Department of School Education & Literacy, Ministry of Education, New Delhi [Google Scholar] [Crossref]
6. Government of India, Economic Survey 2026, Ministry of Finance, Department of Economic Affairs, Economic Division, Kartavya Bhavan-1 New Delhi. [Google Scholar] [Crossref]
7. Hannum E. (2002) “Educational Stratification by Ethnicity in China: Enrollment and Achievement in the Early Reform Years” Demography. 39:95–117. [Google Scholar] [Crossref]
8. Hasan M. (2001) Legacy of a Divided Nation: India’s Muslims since Independence, Oxford University Press; New Delhi [Google Scholar] [Crossref]
9. Holstein, B. E., Madsen, K. R., Pedersen, T. P., Toftager, M., & Rasmussen, M.(2026),“Trends in Low School Satisfaction among Adolescents in Denmark according to Sex, Grade, and Socioeconomic Background, 1994–2022”Scandinavian Journal of Educational Research, Vol. 70, No.1, pP.222–235. [Google Scholar] [Crossref]
10. Karthikeyan, R. and S.Ramasamy (2017), “Economic Reforms Perception of Educational Developments in India: A Composite Analysis”, International Journal of Multidisciplinary Research Review, Vol. 1, No. 31, September, PP.60-68 [Google Scholar] [Crossref]
11. Karthikeyan, R., S.Dharmaraj and B.Kumutha (2025), “Paradigm Shift in Economic Structure in India: Economic Perspectives”, International Journal of Financial Management and Economics, Vol.8, No.1, Pp-148-153. [Google Scholar] [Crossref]
12. Karthikeyan, R., M.Sulthana Barvin and V.Nalini (2025), “Economic Implications of Changes in Demographic Dividend in India: An Analysis”, International Journal for Multidisciplinary Research Vol. 7, No..2, March, Pp.1- 13. [Google Scholar] [Crossref]
13. Karthikeyan, R., V.Nalini and B.Sumathi (2025), “Economic Implications of Changes in Demographic Structure in India”, International Journal of Scientific Development and Research Vol. 10, No.3, March, Pp- b 293- b 302 [Google Scholar] [Crossref]
14. Karthikeyan, R. and V. Nalini (2025), “The Social Implications of Education Inequalities in Tamilnadu”, The South Eastern European Journal of Public Health Vol. XXVI, S2, Feb. Pp 352- 361. [Google Scholar] [Crossref]
15. Kulkarni PM.(2002), Interstate Variations in Human Development Differentials Among Social Groups in India. Working Paper No. 80, National Council for Applied Economic Research; New Delhi. [Google Scholar] [Crossref]
16. Meyer JW, Ramirez FO, Soysal YN.(1992) “World Expansion of Mass Education, 1870–1980” Sociology of Education.;65:128–49. [Google Scholar] [Crossref]
17. Paul Samuel et.al, (2006). Who Benefits from India’s Public Services: A People’s Audit of Five Basic Services, Academic Foundation and Public Affairs Centre, Bangalore. [Google Scholar] [Crossref]
18. Ranjan Kumar Muduli (2021), “An Overview of Rural Education in India - The Way Forward”, International Journal of Advanced Research in Management and Social Sciences , Vol. 10, No..8, Pp.30- 41. [Google Scholar] [Crossref]
19. Schultz, T. Paul (1993). “Investment in the Schooling and Health of Women and Men; Quantities and Returns,” Economic Growth Centre, Discussion Paper (702), Yale University [Google Scholar] [Crossref]
20. Smyth, E., Barg, K., & Perinetti Casoni, V. (2026),“Socioeconomic Inequalities in Teacher-Student Relationships at age 5”, Research Papers in Education, pP. 1–24. [Google Scholar] [Crossref]
21. Sujatha K. (2002) “Education among Scheduled Tribes” In: Govinda R, Editor. India Education Report. Oxford University Press, New Delhi. [Google Scholar] [Crossref]
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