 This study examined the factors associated with depression in low-income seniors and developed a predictive model for depression. The results indicated that psychological factors such as leisure life satisfaction, social support, subjective health awareness, and family support were more important than demographic factors in predicting depression. Additionally, decision trees were found to be the most effective method for developing a predictive model. This suggests that providing psychological support to low-income seniors could help reduce their risk of depression. This article was offered by Q-Minute Kim, J-Hat Kim, Yin Silwi, and others.