The study assessed dete rminants o/urban poverty in six Kebeles: Kebele 01, 03, 04, 05, 08, andrn12 of Debre Markos 1011'11. The source used in the study comesFom primmy data. A total o(2MIrnhousehold heads were selected to undertake the research and a systematic random sampling I'asrnemployed to selecl households.A Logistic regression model was employed and estimoted based on the primary data, with thernprobability of a household being poor as a dependent variable and a set of demographic andrnsocioeconomic variables as the explanatOlY parameters. By making use of Food Energ)' Intake ,rn(FEI) approach the surveyed households are identified as {he poor and non-poor. Based on {his,rnout of the 260 surveyed household heads, 172(66%) of them were found poor, the head count,rnpoverty gap, and severity index of the survey obtained as 0.66,0.21 and 0.09 respectively.rnThe variables that are positivel)' correlated with the probahility of being poor ore. Sf.'.rnhousehold size, and disease incidence of the household Variables negC/lively correlated ,,.ilhrnprobability of being poor are: incol~1e, educational level, marital status, emploYll1el1t. age.rnhousil1g tenure, and water source. Variables, which affected significantly the incidence o{povertyrnin the tOll'n, are: average monthly income, family size, educatianallevel, and disease incidence o{rnthe households,. Religiol1, ethnic group, dependency, productive .IcII1Iily memhers, main sOIll'ce orrnwOler and SlUt us of eleCiric conl1eClion were found statistically insignificunt il/dim{or.lÂ· IIIrnpoverty.