High infant mortality rates in India reflect systemic health and social inequalities, especially affecting marginalized groups like informal workers, particularly women. These workers lack recognition, protection, and access to adequate healthcare, exacerbating vulnerability. Primary data from 600 households and secondary data from a number of sources, including World Health Organization reports are used in this study. Logistic regression is employed to analyse determinants, with variables including maternal and environmental factors. The study found that global infant mortality rate has substantially declined from 53.80 to 26.05 deaths per thousand live births from 2000 to 2023. While developing nations show gradual declines, significant disparities persist. In India, Assam records higher infant mortality rates, particularly in rural areas. Logistic regression highlights maternal care, environmental factors, income, family structure, and distance to hospitals as significant determinants. Improving these factors could mitigate infant mortality among informal workers in Assam.
Kanchan Devi (Sat,) studied this question.