Investigates the home purchasing behavior of return migrants in urban areas of Western China, with a focus on Sichuan Province. Utilizing spatial analysis and regression models, the chapter analyzes the distribution patterns of home purchases and the key factors influencing migrants’ decision to buy property in county-level cities. The findings show clear spatial clustering: return migrants prefer towns near their hometowns with better infrastructure, lower housing prices, and more accessible services. Factors such as income stability, family structure, educational level, and proximity to core urban areas significantly influence purchasing behavior. Additionally, hot spot and cold spot analyses reveal regional disparities in housing markets. The study highlights the dual influence of individual capacity (economic and social capital) and external environment (transportation, policy support) in shaping homeownership decisions. The chapter concludes that differentiated housing policies and improved urban planning are essential for supporting sustainable return migration.