This study aims to identify the relationships among social capital, resilience and quality of life for older people who experienced disaster. The autoregressive cross-lagged effect model which included social capital variables affecting resilience and quality of life in baseline was conducted with using the data from ‘long-term survey on the change of life of disaster victim(2016~2019)’. Among the total samples of 3,200, 557 individuals aged 65 and older were selected. Results showed that some variables of social capital were significantly associated with resilience and quality of life. In the case of changes in resilience and quality of life from 2017 to 2019, both variables had auto-regressive effects for their owns. However, cross-lagged effects were only significant when the quality of life predicted resilience over time. Based these results, the study suggests policies and services necessary for the elderly to overcome disasters.