Infant mortality is a factor that can be correlated with the well being of population. In most of the developing countries, high death rates are responsible for enormous pressure on economy and development programs. Death of infants is responsible for poorer health conditions of mothers. Infant deaths in any community depend on factors including social and economic values to child death, traditional customs and beliefs, religious bindings, awareness availability and utilization of various health services, etc.

One out of every four children in the world, who die under the age of one, is an Indian. Infant and child mortality rates in India declined during the last two decades. The latest infant mortality rate in the country is 57 per thousand live births. When compared to the provisional data of the census 2001, it is clear that there has been no improvement in the last 10 years. Nevertheless, mortality rates are still high. Infant mortality is always linked to literacy rate and health care systems among women. The objective of the present paper is to estimate and interpret the effect of some important variables (females’ associated) with infant mortality rate. The regression analysis has been employed to find out the positive and negative amounts of impact on infants deaths. Infant mortality rate is considered as a dependent variable and birth rate, female literacy, mean age at marriage, percentage of married girls below 18 years age, percentage of female medical officer, percentage of female health assistant, and percentage of female MPW as independent variables. The need for analyzing the factors which affect the progress of the development programme becomes more relevant especially when the performance, inputs, and health infrastructures are not equal in all the states. The stochastic regression model explains the 83% variation in the infant mortality.