Metodología para calcular el indicador de vivienda urbana precaria de la Agenda 2030 en Fortín de las Flores, Veracruz
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Keywords

Research methodology
social indicators
urban housing
urban planning Metodología de investigación
indicadores sociales
Vivienda urbana precaria
planificación urbana

How to Cite

Benítez Malagón, E., Muñoz Madrid, M. A., Palacios Reyes, I. E., Castillo Barranco, M. O., & Morgado Bustos, J. R. (2025). Metodología para calcular el indicador de vivienda urbana precaria de la Agenda 2030 en Fortín de las Flores, Veracruz. UVserva, (19), 112–131. Retrieved from https://uvserva.uv.mx/index.php/Uvserva/article/view/3125

Abstract

Abstract: This study aims to calculate the proportion of the urban population living in inadequate housing at the block level in Fortín de las Flores, Veracruz, using data from the 2020 Population and Housing Census (INEGI). By integrating thematic maps and disaggregated analyses at the urban block and Basic Geo-Statistical Areas (AGEB) levels, the methodology identifies areas of housing vulnerability with an unprecedented level of detail. The approach combines the criteria of SDG Indicator 11.1.1 with geospatial tools, enabling a nuanced assessment of housing precariousness. The results reveal that 15% of the urban population in Fortín de las Flores lives in inadequate housing, with clear spatial patterns that prioritize certain areas for intervention. This methodology not only validates its application at a micro-territorial scale but also demonstrates its scalability to regional and national levels. Furthermore, it underscores the importance of geospatial analysis for urban planning and housing policy development, proposing a replicable model for other municipalities. The findings highlight the critical need for multi-level collaboration to effectively address housing precariousness, emphasizing the role of accessible data, geospatial technologies, and methodological rigor. This study contributes to achieving SDG Indicator 11.1.1 by providing a replicable and scalable framework that supports sustainable urbanization and equitable housing policies.

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References

CONAVI. (2022). Sistema Estadístico de la Comisión Nacional de Vivienda. Recuperado el 23 de diciembre de 2024, de Sistema Estadístico de la Comisión Nacional de Vivienda: https://siesco.conavi.gob.mx/doc/analisis/2024/Metodologia_deficit_cualitativo_ENIGH_2022.pdf

Gobierno de México. (2020). Indicador 11.1.1: Proporción de población urbana que vive en viviendas precarias [Archivo XLS]. Plataforma de Indicadores ODS México. Recuperado de https://agenda2030.mx/ODSind.html?ind=ODS011000050010&cveind=56&cveCob=99&lang=es#/Indicator

Instituto Nacional de Estadística y Geografía [INEGI]. (2020). Censo de Población y Vivienda 2020: Microdatos. INEGI. https://www.inegi.org.mx/programas/ccpv/2020/#microdatos

ONU-Hábitat. (2022). Metadata for SDG Indicator 11.1.1: Proportion of urban population living in slums, informal settlements or inadequate housing. United Nations Human Settlements Programme. https://unhabitat.org/sites/default/files/2022/08/sdg_indicator_metadata-11.1.1.pdf

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Copyright (c) 2025 Erika Benítez Malagón, Marco Antonio Muñoz Madrid, Irma Elisa Palacios Reyes, Missael Omar Castillo Barranco, José René Morgado Bustos