This research aims to explore the key features influencing the number of respiratory disease cases in Thailand. We analyzed various features to identify their correlation with respiratory disease rates per 100,000 people. By utilizing clustering techniques, we grouped provinces with similar characteristics to better visualize the relationships between these features and respiratory health outcomes. This method provides insights into the types of urban and environmental characteristics that contribute to the incidence of respiratory diseases. Our findings reveal that air quality, influenced by urban expansion and agricultural activities, is the most significant feature associated with high respiratory disease rates. Following this are severe environmental conditions, while local environmental features and employment practices shaped by provincial development policies also play a crucial role.