The elderly population is defined as individuals aged 65 and above, and due to declining birth rates and increasing life expectancy, South Korea is rapidly transitioning into an ultra-aged society. This demographic shift has brought forth the need for reintegration of the elderly into productive activities and self-development, highlighting the importance of lifelong education facilities and retraining programs. In this paper, we utilized population data at the regional level in Seoul to predict the number of elderly population in each region ten years into the future. Based on these predictions, we identified regions expected to have high demand for lifelong education facilities. To achieve this, we employed a linear regression model in Python to forecast the expected life expectancy ten years from now, using historical life expectancy data. Additionally, we utilized population statistics data from the Ministry of Interior and Safety to visualize the comparison between the elderly population in 2022 and projected elderly population in 2032 through graphs, providing a clear representation of the magnitude of increase. By applying the projected life expectancy, we predicted the number of elderly individuals in each district of Seoul in 2032, revealing that Gangseo-gu and Songpa-gu are expected to have a higher elderly population. Therefore, it can be inferred that expanding lifelong education facilities and retraining programs would be necessary in these areas. This study provides valuable insights into the aging population and lifelong education, serving as an important reference for policy-making and social adaptation.