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<p>Early marriage is widely recognised as a violation of human rights&#xa0;and cause of poor maternal and child health. The present article examines the socio-economic correlates of early marriages among girls in India. Additionally, it also helps in understanding the&#xa0;statewise prevalence of early marriages in&#xa0;India. The present article utilised recent nationally representative cross-sectional sample survey data from a fifth round of the National Family Health Survey (2019–2021). Bivariate analysis, multivariable logistic regressions, concentration index (CI), concentration curve (CC) and Fairlie decomposition analysis were used to meet the study's objective. Every fourth of females fell prey to early marriage in India as a whole<b>.</b> A special variation of early marriage has been seen in the state. The top five states are West Bengal (42%), Bihar (41%), Tripura (40%), Jharkhand, and Assam (32% respectively), where the prevalence of early marriage among girls is high. It was found that education, caste, wealth status, and place of residence explain nearly two-fourths of the inequality in the occurrence of early marriage among girls. The government should invest in girls&#xa0;higher education and offer financial support through scholarships. Community engagement and awareness campaigns should be conducted among disadvantaged groups to promote the programs and highlight their benefits.</p>

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Understanding the Role of Socio-Economic Factors in Early Marriages Among Indian Girls

  • 期刊论文

  • 发表日期：

    2025年8月23日

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  • Nutan Kumari,
  • Rajan Ram,
  • Jeetendra Yadav,
  • Anil S. Chandran

摘要

Early marriage is widely recognised as a violation of human rights and cause of poor maternal and child health. The present article examines the socio-economic correlates of early marriages among girls in India. Additionally, it also helps in understanding the statewise prevalence of early marriages in India. The present article utilised recent nationally representative cross-sectional sample survey data from a fifth round of the National Family Health Survey (2019–2021). Bivariate analysis, multivariable logistic regressions, concentration index (CI), concentration curve (CC) and Fairlie decomposition analysis were used to meet the study's objective. Every fourth of females fell prey to early marriage in India as a whole. A special variation of early marriage has been seen in the state. The top five states are West Bengal (42%), Bihar (41%), Tripura (40%), Jharkhand, and Assam (32% respectively), where the prevalence of early marriage among girls is high. It was found that education, caste, wealth status, and place of residence explain nearly two-fourths of the inequality in the occurrence of early marriage among girls. The government should invest in girls higher education and offer financial support through scholarships. Community engagement and awareness campaigns should be conducted among disadvantaged groups to promote the programs and highlight their benefits.