An understanding the risk factors related to infant mortality is to guide the developmentrnof focused and evidence-based health interventions to reduce infant mortality. This studyrnaimed to see trend and identify detrminants of infant mortality in East African countriesrnby Demographic Health Surveys. To achieve these objectives, multilevel logistic regres-rnsion model has been used. The results show that, overall infant mortality was decreasingrnover-time in East Africa. The average percentage change of infant mortality is signi_-rncantly decrease by 49.3% in east Africa. Among the East African countries the lowestrnand highest percentage change of infant mortality observed in Rwanda and Mozambique,rnrespectively. Multilevel analyses shows that child related factors: birth type, birth size,rnbirth order, sex of child, anemia level, breastfed and factors related to mother: motherrneducation, age of mother at _rst birth, religion, contraceptive use, marital status andrn_nally, factors related to household: family size, residence were found to be statisticallyrnsigni_cant predictors of infant mortality in East Africa. Survey year's has also statis-rntically signi_cant e_ect on infant mortality in East African countries. Infant mortalityrnis high in all East African countries in which household members are four and more,rnalso birth type is statistically signi_cant predictor of infant mortality in all East Africanrncountries. In order to reduce infant mortality in East Africa, awareness creation e_ortsrnhave to increase family planning, contraception, improve the education level of parents,rnencourage breastfeeding, providing availability of toilet and safe water. To this e_ect, thernoutcome of reducing infant mortality is achieved by considering those signi_cant factorsrnrelated to infant birth.