The objective of the study is to estimate determinants of multi-dimensional urban poverty inrnEthiopia. The study used secondary data to answer the research questions, it was collected by thernCentral Statistical Agency of Ethiopia in all urban region and city administration of Ethiopia thatrnis Integrated Surveys on Agriculture Ethiopia Socioeconomic Survey (ESS2 (2013/2014) – ESS3rn(2015/2016).The study has used three types of analysis. These are descriptive analysis,rneconometric analysis using the Tobit regression models and multi-dimensional povertyrnestimation.rnThe study found variable that is types of school education positively correlated with thernprobability of being multi-dimensionally poor people and variables these are age, marital status,rnhousehold head education, number of rooms, access for own house and access to loan thatrnnegatively correlated to the probability of being multi-dimensionally poor.rnThe finding of the tobit model shows that, factors such as accessed for own house, number ofrnrooms, types of school educated, and access to loan positively and statistically significantly.rnFinally, the paper recommends that future studies should study multi-dimensional urban povertyrnother than the household level and in different points of view that is gender, organization and inrnrural to get a wider view of poverty profiles and policy implications.