Background: Globally, there were an estimated 289,000 maternal deaths in 2013, yielding Maternal Mortality Rate (MMR) of 210 maternal deaths per 100,000 live births. Still, now maternal mortality in Ethiopia is the highest in the world.Methods: This study is a secondary data analysis of the 2016 EDHS. A total of 7590 women who gave birth in the last 5 years preceding the survey were included in the analysis was carried out by using Geographic information system and clusters with high and low hotspots with institutional delivery were identified using Sat Scan spatial statistical analysis. A multilevel multivariable mixed-effect logistic regression was used to identify factors associated with institutional delivery.Result: In this study, 33.25% of women who gave birth in the last 5 years preceding the survey were delivered at the health institution. The finding also indicated that the spatial distribution of institutional delivery was non-random in the country. At the individual level, the riches (AOR=2.18,95%CI:1.39-3.41), higher education(AOR=3.89,95%CI:1.51-10.01), four and above the number of antenatal care visits (AOR=6.57,95%CI:4.83-8.94) and parity more than two children(AOR=0.48,95%CI:0.34-0.68), and at the community level, higher education (AOR=1.70,95%CI:1.22-2.36), urban residence (AOR=5.30, 95%CI:3.10-9.06), were variables that had achieved statically significant association for utilization of institutional deliveryConclusions: This study identified a spatial cluster of institutional delivery of Somali and Afar region have low utilization rates and Addis Ababa and Tigray regions have the highest utilization rate. The significant associated factors of institution delivery were Individual factor of woman antenatal care visit, Household wealth index, Maternal education, Parity, and Community factor of Region, Place of residence, and Educational status, Therefore, to maximize health facility delivery in Ethiopia, the predictors of institutional delivery identified in this study should be given more attention by governmental and non-governmental stakeholders