• Srinibasa Sahoo Research Scholar, Department of Statistics, Utkal University, Bhubaneswar
  • Ranjan Kumar Sahoo Professor, Department of Statistics, Central University of Haryana, Haryana


Under Five Mortality, Logistic Regression, NFHS -4 Data


This study uses Nfhs-4 data to identify the correlations of under-five child mortality in Odisha, a crucial indicator for community health and economic development. A logistic regression model was used to investigate the impact of selected socioeconomic, demographic, health, and environmental factors on Odisha's child mortality (U5CM). The age of the mother covariates preceding birth interval, place of delivery, breast feeding, mother's education level, toilet facility, number of household members, caste, and source of drinking water.  According to the results of data, which are the most important factors of children's death among numerous chosen socioeconomic levels of women. According to the Logit regression study, policymakers should encourage maternal education, late marriage, and increasing birth intervals through family planning to minimize child mortality.


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How to Cite

Srinibasa Sahoo, & Ranjan Kumar Sahoo. (2023). DETERMINANTS OF UNDER FIVE MORTALITY OF ODISHA: NFHS-4 DATA ANALYSIS. International Education and Research Journal (IERJ), 9(11). Retrieved from