Abstract:

Abstract. This paper appraised urban poverty determinants in Afghanistan consider-ing Mazar-e-Sharif as a case study. The data was collected from 326 households using a multi stage sampling approach. The logit model was applied to estimate the influencing factors on poverty status among targeted households. The findings reveal that age of household head, remittances, number of male employed and number of female employed are negatively correlated with poverty status. While, household size and number of illiterate households member have positive impact on poverty in the study area. Thus, current research suggests government to invest more on education sector in order to increase the literacy among different social segments to finally reduce poverty through supply of literate manpower to the market “Policy implication”.

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