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It is widely known that informal sector lacks labor rights. In this sense, the welfare of the population is violated. Therefore, the study of this sector is of interest. Thus, the present research has a double objective: knowing the characteristics of people working in the informal sector and knowing if there is wage discrimination. Both objectives were fulfilled with information from the National Occupation and Employment Survey (ENOE, for its acronym in Spanish) of the National Institute of Statistics and Geography (INEGI). The space and time of the study are Mexico City (CDMX), in the third quarter of 2020, in the context of the COVID-19 pandemic. For the first objective, a Probit model was used, taking as dependent variable whether the person works in the informal sector or not. The following characteristics were considered as independent variables: gender, age, schooling, whether the person is studying, whether he/she is married, hours worked per week and monthly income received. It was found that age and hours worked per week did not influence the probability of working informally. As for the second objective, an Analysis of Variance (ANOVA) model was used, whose dependent variable was monthly income as a function of four dummy variables: gender, whether the person is studying, whether he/she is married and whether he/she works in the informal sector. It was concluded that there was wage discrimination, with women who studied and worked in the informal sector receiving, on average, a lower wage during the coronavirus epidemic. [ABSTRACT FROM AUTHOR]