Assessing and evaluating the resilience of villages against natural hazards such as floods is one of the most important requirements and necessities that are of special importance in the sustainability of these communities. Accordingly, in the city of Torbat-e Jam, due to the existence of numerous rivers and topographic conditions of the villages, we witness the occurrence of numerous floods every year, which poses dangers. The purpose of this study is to investigate the role of social capital of the people of this region on the resilience of rural settlements against flood risk. The research method is descriptive-analytical and the statistical population includes the villages that are most at risk of flooding. Through local research and consultation with regional managers and experts, 10 villages were selected with a total of 1948 households. Based on Cochran\\\\\\\\\\\\\\\'s formula with an error of less than 0.06, 240 sample volumes were obtained, which was completed by simple random sampling questionnaire from the head of the household. SPSS software and one-sample t-test were used for data analysis. Confirmatory factor analysis was used to fit the measurement models and structural equation modeling was used to fit the research model. Findings showed that in the dimension of social capital, the components of participation with an average (4), social cohesion with an average (4.4) were very high and social awareness with an average (1.3) was significantly significant (Significance level is less than 0.05). But the component of social trust with an average of 2.7 is lower than the average and significant. In terms of resilience, only the average physical component of the environment (3.6) is higher than the average and significant, but the average of economic components (1.9), social (4.4) and institutional (2.7) is above average. They became less and more significant. Findings also showed that the variable of social capital had a significant positive effect on resilience at the level of 99% confidence (critical ratio equal to 7.72 which is more than 2.56), i.e. with increasing the variable of social capital, the resilience of settlements Rural area increases against flood risk (standard coefficient of correlation is equal to 47.0 and is significant). Finally, the results of analysis of variance test showed that the mean of resilience variable is different among the villages of the region (F=6.25 & P<0.01), so that the results of Benfroni post hoc test showed that Qom Nomirza village (41. 2) It had the lowest rate of resilience among the sample villages.

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