This paper aims to provide an empirical prediction of residential well-being (RWB) and sense of community (SoC) among Chinese rural-urban migrants (RUMs). Multiple linear regressions are used with survey data derived from a representative sample of 15 migrant villages located in three major urban regions of China in order to evaluate the contributions of socioeconomic factors, living conditions, and neighborhood conditions to the SoC score and RWB score. The majority of the sample consists of middle-aged, married men who live in shared housing, are registered in the agricultural Hukou (household registration) system, and have subpar housing. Empirical analyses show that, after adjusting for socioeconomic factors, living conditions, and community neighborhood conditions, Hukou status (urban or rural) significantly influences the RWB score rather than the SoC score. In the simultaneous equation models, the following factors can predict the SoC score and RWB score: age, gender, educational attainment, home ownership, number of housing facilities, monthly household income, number of living rooms, number of problem-solving channels, and converted residences. The SoC score and RWB score have a moderately strong correlation. Therefore, improving the living, institutional, socioeconomic, and neighborhood conditions will help to improve the SoC and RWB of RUMs.