Objectives: The purpose of this study is to identify unmet medical experience and to understand the impact on unmet medical care for the young-old (65 to 74 years old) and old-old (over 75 years old) who have experienced unmet medical care. Methods: In this study, an analysis was performed based on a logistic regression model using data from Community Health Surveys. Results: As for the sociodemographic characteristics in the young-old and old-old groups, those whose education level was lower, who had no spouse, whose total household income was lower, and who did economic activity were more likely to experience unmet medical. As for health-related behavior those who perceived stress, whose subjective health status was poorer were more likely to experience unmet medical in both the old groups. While the types of disease differed between the young-old and old-old groups, morbidity affected the experience of unmet medical. Conclusions: This study aimed to be useful as basic data for welfare policies such as programs that consider the difference in characteristics by subdividing age by breaking away from the policy due to the characteristics of the average elderly.