A partir del Censo de hogares en zonas de muy alto rezago social de Baja California, 2014, del Colef, aplicado en zonas de muy alto rezago social de los municipios de Mexicali, Tecate, Tijuana y Playas de Rosarito, se obtuvo información sobre las condiciones de vida de 39,418 residentes en condiciones de muy alto rezago social. El artículo presenta los resultados del Censo en relación a las características de las viviendas y de los integrantes de los hogares, y clasifica a los encuestados según las categorías de la pobreza multidimensional. A partir de esta población se estimó un modelo logit ordinal para analizar la relación entre condiciones sociodemográficas y pobreza, y definir el perfil más propenso a padecer pobreza. Los resultados indican que el perfil más propenso radica ser mujer, tener cultura indígena, tener alguna discapacidad, nacida en el sur del país, y residente en un hogar numeroso en Playas de Rosarito. AbstractThe information of this paper comes from a census that we apply in areas of high social deprivation in the municipalities of Mexicali, Tecate, Tijuana and Playas de Rosarito, obtaining data on living conditions of 39,418 residents. The paper describes the results of the census in relation to the characteristics of dwellings and household members, and classifies the population according to the categories of multidimensional poverty. Later, an ordinal logit model was used to estimate the relationship between socio-demographic conditions and poverty, and to define the profile most likely to suffer from poverty. The results indicate that the most prone profile is to be a young unemployed woman, of indigenous culture, with disabilities, born in the southwest of the country, who has not lived in the United States, and resident in a large household, with few family members employed and female head of household with low level of education, in Playas de Rosarito.
The information of this paper comes from a census that we apply in areas of high social deprivation in the municipalities of Mexicali, Tecate, Tijuana and Playas de Rosarito, obtaining data on living conditions of 39,418 residents. The paper describes the results of the census in relation to the characteristics of dwellings and household members, and classifies the population according to the categories of multidimensional poverty. Later, an ordinal logit model was used to estimate the relationship between socio-demographic conditions and poverty, and to define the profile most likely to suffer from poverty. The results indicate that the most prone profile is to be a young unemployed woman, of indigenous culture, with disabilities, born in the southwest of the country, who has not lived in the United States, and resident in a large household, with few family members employed and female head of household with low level of education, in Playas de Rosarito.
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