This study seeks to establish risk behavior profiles for those who use pedestrian walkways. Herein, the case of a city within a medium-low income country is studied, by way of a survey, in which sociodemographic factors associated with risky conduct, by pedestrian type, were emphasized. In this study, a Multiple Correspondence Analysis (MCA) model was employed for the generation of pedestrian risk behavior profiles. It was found that road safety education, socioeconomic condition, and gender were variables associated with pedestrian risk incidence profiles. The risks related to said profiles include deviations from, or interruptions in, pedestrian crossing, not checking traffic lights, and crossing in areas prohibited to pedestrians. The road safety education variable suggests that transit authority action should seek a reduction in these types of risk, via strategies designed with this type of profile information in mind, and oriented toward the identification of additional variables that influence risk.