In order to accurately and efficiently improve the living environment quality of old urban communities and improve their disaster prevention and mitigation capabilities, a resilience evaluation system of the old community based on cloud model was proposed. Based on the resilience theory, the selected old communities were grouped according to different ages. Through field research, 30 groups of representative old communities characteristic data in Xi′an, Shaanxi Province were obtained. With reference to relevant literature and relevant expert suggestions, the building resilience, facility resilience, environmental resilience, and personnel resilience were determined. A total of 4 first-level indicators, 9 second-level indicators, and 30 third-level indicators constituted the evaluation index system of old communities. Analytic hierarchy process (AHP) was used to determine the subjective weight of each index, entropy weight method (EWN) and method based on the removal effects of criteria (MEREC) were used to determine its objective weight, combined weighting method was used to determine its final weight, and MATLAB was used to construct the resilience evaluation system of the old community based on cloud model. Based on this evaluation system, an old community—Wanqingxiang community in Xi′an was selected for resilience evaluation. The results could accurately reflect the weak links of resilience in the community, and also showed that the evaluation system had certain applicability and effectiveness.