The purpose of this research is to determine the explanatory factors of monetary poverty in the Municipality of Cerete in the year 2015 through the estimation of a probabilistic Probit model, using information collected through a survey, similar to that of quality of life used by the DANE, applied to 250 households in that territory at the end of the year 2015. For the corresponding regression analysis, the dependent variable poor household is taken, which in the case of this work is a dichotomous one, and the socioeconomic and head of household characteristics are taken as independent variables. The results prove that the greatest probabilities of a household being in a condition of poverty are those with a high number of members and where the head of the household has a low level of education. Likewise, the risk of poverty increases for rural households in relation to those located in the municipal capital, as well as for heads of household who work on their own account and motorcycle taxi drivers. It is therefore recommended that policies be implemented to expand the coverage of higher education, encourage formal work and moderate the size of the household.