Purpose: Understanding how rural communities meet their needs and enhance their well-being while promoting social cohesion, equitable access to resources and services, and fostering community resilience is of utmost importance when investigating the social sustainability of those living in rural areas. Social dimensions often receive inadequate attention during the appraisal of rural development projects. Consequently, the main aim of this study is to create social sustainability indexes that can effectively support the evaluation of sustainable rural development. Methods: In order to achieve this aim, a proposed methodology is presented, which utilizes Confirmatory Factor Analysis (CFA) to estimate the coefficients of indexes pertaining to rural social sustainability (RSS). This approach constructs a Structural Equation Model (SEM), offering insights into the potential of these indexes for driving long-term improvements in social sustainability within rural areas. Results: The results of the CFA analysis show the variables of quality of life (QOL), social participation (SP), and social responsibility (SR) enhance the sustainability of rural, and the positive effect is more prominent among rural areas that had high solidarity social. Moreover, the construct validity of RSS-SEM model was (P = 0.166, Chisquare/df = 1.229IFI = 0.971, CFI = 0.969, NFI = 0.861, and RMSEA = 0.054). Conclusion: The application of the SEM (Social-Economic-Environmental) model is recommended for assessing rural projects as it provides a comprehensive framework that complements environmental and economic sustainability assessments. By incorporating social factors into project evaluations, the SEM model enables a more holistic understanding of the social, economic, and environmental dimensions of rural development, ultimately contributing to more effective and sustainable outcomes
