This study aims to identify depressive symptoms status and factors to affect depressive symptoms in the elderly. The research selected 1,429 adults aged over 65, who appeared with depressive symptoms, from the fifth Korea National Health and Nutrition Examination Survey 2012. We analyzed states of depressive symptoms using descriptive statistics. Logistic regression analysis was used to examine the main factors associated with depressive symptoms in the elderly. The result shows that depressive symptoms in the elderly is significantly associated with gender, age, income level, subjective health status, smoking and the number of chronic diseases. Females, higher age, lower income, lower subjective health status, smoking and the higher the number of chronic diseases were the significant factors of higher depressive symptoms. Therefore, it is necessary to develop effective social programs and individualized approach to improve the quality of life in the elderly. In the future, these findings can be used as important data for health care policy and assessment.