Understanding the Sustainable Development of Community (Social) Disaster Resilience in Serbia: Demographic and Socio-Economic Impacts by  Vladimir M. Cvetković  1,2,3,* and Vanja Šišović 2 1 Faculty of Security Studies, University of Belgrade, Gospodara Vucica 50, 11040 Belgrade, Serbia 2 Scientific-Professional Society for Disaster Risk Management, Dimitrija Tucovića 121, 11040 Belgrade, Serbia 3 International Institute for Disaster Research, Dimitrija Tucovića 121, 11040 Belgrade, Serbia * Author to whom correspondence should be addressed. Sustainability 2024, 16(7), 2620; https://doi.org/10.3390/su16072620 Submission received: 17 February 2024 / Revised: 4 March 2024 / Accepted: 15 March 2024 / Published: 22 March 2024 (This article belongs to the Special Issue Disaster Resilience and Sustainability of Structures and Infrastructures) Downloadkeyboard_arrow_down Browse Figures Versions Notes Cvetković, V. M., & Šišović, V. (2024). Understanding the Sustainable Development of Community (Social) Disaster Resilience in Serbia: Demographic and Socio-Economic Impacts. Sustainability, 16(7), 2620. https://doi.org/10.3390/su16072620 Abstract This paper presents the results of quantitative research examining the impacts of demographic and socioeconomic factors on the sustainable development of community disaster resilience. The survey was carried out utilizing a questionnaire distributed to, and subsequently collected online from, 321 participants during January 2024. The study employed an adapted version of the ‘5S’ social resilience framework (62 indicators), encompassing five sub-dimensions—social structure, social capital, social mechanisms, social equity and diversity, and social belief. To explore the relationship between predictors and the sustainable development of community disaster resilience in Serbia, various statistical methods, such as t-tests, one-way ANOVA, Pearson’s correlation, and multivariate linear regression, were used. The results of the multivariate regressions across various community disaster resilience subscales indicate that age emerged as the most significant predictor for the social structure subscale. At the same time, education stood out as the primary predictor for the social capital subscale. Additionally, employment status proved to be the most influential predictor for both social mechanisms and social equity-diversity subscales, with property ownership being the key predictor […]