Abstract: Guided by the ‘Good Houses, Good Communities, Good Neighborhoods, Good Urban Districts' philosophy, this study examines how county-level human settlement environments affect residents' well-being. Using 2025 county town examination survey data from nine counties in Cangzhou, Hebei, this study constructs a multiscale analytical framework and apply principal component analysis and multiple linear regression. Results indicate generally high well-being across sampled counties, with significant inter-county variations. Multi-scale environmental perceptions significantly correlate with well-being, with influence strength in the order: county, housing-unit, neighborhood, and community. Heterogeneity analysis reveals stronger effects on younger residents and those with lower housing pressure. This study elucidates the multi-scale mechanisms linking living environments to well-being from a county perspective, identifying key directions for spatial optimization and offering policy insights for enhancing county-level spatial quality and residents' well-being.