Creating employment and increasing retention power can contribute to the socio-economic sustainability of rural areas. Considering the importance of revitalization and revitalization of rural areas in general and socio-economic revitalization of settlements in particular, before any planning for revitalization, it is necessary to determine the factors affecting the socio-economic revitalization of rural areas. This research has been conducted with the aim of investigating the factors affecting economic-social revitalization in the rural areas of Khodabande. The current research is applied in terms of purpose and descriptive-analytical and correlational in terms of nature and method. The statistical population of the research is residents of rural settlements in Khodabande city. A sufficient number of sample population for modeling and hypothesis testing using Cochran's formula (371 people) were randomly selected from the residents of the studied villages. The research tool for data collection is a researcher-made questionnaire based on theoretical foundations and interviews with experts and professors. Validity (content), reliability (Cronbach's alpha) and factorial validity (model fit) were confirmed by using the opinions of experts and professors. The methods of structural equation modeling and one-sample t-test were used to analyze the findings. The results showed that all the investigated indicators have a significant role in explaining socio-economic revival; So that investment factors, agricultural requirements and job skills, with coefficients of 0.836, 0.810 and 0.724 have the greatest role in explaining the socio-economic revival of rural settlements in Khodabande city. Also, the results showed that the factor of investment (36%), the factor of agricultural requirements (24%) and the factor of mediation and brokering (16%) explain the variable changes of socio-economic revitalization of rural settlements. Also, the results showed that economic, social, physical, environmental and political-institutional capacities with an average of 3.6 and an average difference of 0.605 of rural settlements are in a stable state.