María de Los Ángeles Martínez-Cosío

This paper presents a dataset developed to characterize the citizens’ perceptions of urban resilience applied to the Veracruz—Boca del Río Metropolitan Area (VBMA) in Mexico. The data were obtained by conducting online surveys, which were administered to a total of 147 subjects, including 89 from the municipality of Veracruz, 35 from Boca del Río, 15 from Medellín de Bravo, and 8 from Alvarado, with ages ranging from 16 years to over 61 years. The survey was designed to estimate the population’s perception of the Urban Resilience Index (URI) and the Urban Resilience Profile (URP). It was developed derived from a methodology based on IMPLAN and enriched with questionnaires from Villada and SEDATU, resulting in a final questionnaire comprising 10 axes, 33 indicators, and 156 variables. A novel contribution was implemented as a significant study case, which uses the dataset to estimate the URI and URP to the VBMA applying the Entropy Method, considering three criteria: age, gender, and municipality. Here, citizens’ perceptions about urban resilience have been estimated in an URI equal to 0.4571, resulting in a moderate level of resilience. Moreover, this perception could be improved by conducting a full-scale survey with substantial financial investment.

Coastal regions in Mexico face significant exposure to hydrometeorological hazards, often resulting in severe flooding and socioeconomic disruption. This study assesses the hydrometeorological resilience of the Veracruz–Boca del Río Conurbation (VBC), a region comprising two coastal municipalities with shared hazard exposure despite distinct governance structures. The hydrometeorological resilience evaluation employs the City Resilience Index (CRI), developed by Bahena which integrates the Technical Resilience Index (TRI) and the Technical Profile of Resilience (TPR) across nine hierarchical indicators. Results reveal moderate resilience levels—59.83% for Veracruz and 58.32% for Boca del Río—with Disaster Risk Reduction Plans and Vital Services indicators as the strongest contributors, while Risk Assessments and Budget Allocation for Emergency Response indicators scored lowest due to limited municipal data. These findings highlight the need for enhanced data transparency, institutional coordination, and resource allocation in disaster management. Beyond its local significance, this study advances the global understanding of resilience assessment frameworks in data-scarce contexts, offering insights applicable to similar regions worldwide. As the first hydrometeorological resilience assessment for the VBC, this research provides a methodological and empirical foundation for future studies and informs targeted resilience strategies for Mexico’s coastal urban areas.