Infant mortality is one of the demographic variables that affect population trends and one of thernindicators of socio-economic development, especially in developing countries. This study seeks tornidentify the determinants of infant mortality in Ethiopia using the 2011 Ethiopian Demographic &rnHealth Survey. It also searches for the existence of regional disparity in infant mortality applyingrnmultilevel survival analysis. Standard models are not suitable for nested data because thernindependence assumption is not generally true. To overcome this problem, the present work wasrnidentify determinants of infant mortality in Ethiopia using Multilevel Survival analysis that is definedrnfor analysis of correlated nested time survival data. The statistical packages SPSS, and STATArnwere employed to analyze the data. The result indicates that some socioeconomic and demographicrnrelated variables have significant impact on an infant survival in Ethiopia whereas, health andrnenvironmental related variables are found to have insignificant impact. It has also been found thatrnthere is regional variation in survival time. The analysis identified motherâ€™s age, place of residence,rnwealth index, birth order, birth type, child sex and place of delivery as significant predictors ofrninfant mortality. For instance, multiple births had 3.468 times higher risk of death than singletonrnbirths and an infant born from rich family has 65.4% lower risk of death than an infant born fromrnpoor family