This study examines the determinants or correlates of poverty in México. The data used in the study come from the 1996 National Survey of Income and Expenditures of Households. A logistic regression model was estimated based on this data, with the probability of a household being extremely poor as the dependent variable and a set of economic and demographic variables as the explanatory variables. It was found that the variables that are positively correlated with the probability of being poor are: size of the household, living in a rural area, working in a rural occupation and being a domestic worker. Variables negatively correlated with the probability of being poor are: the education level of the household head, his/her age and whether he or she works in a professional or middle level occupation.