Abstract: Migrant workers play a crucial role in driving urbanization in China, and their desire to settle in cities reflects the quality of urbanization to some extent. Therefore, studying the level and changes in migrant workers' long-term residence intentions is highly significant. This paper utilizes CMDS data from 2012 to 2018 and employs Hierarchical APC-Cross-Classified Random Effects Models to analyze changing trends in the aspects of age, period and cohort. The results show that (1) There is an inverted U-shaped curve in migrant workers' intentions for long-term residence as their ages increase; (2) The overall willingness for long-term residence decreases in recent years; (3) The cohort effect curve demonstrates two high sides and two low sides; (4) Gender, education, and job identity are factors that exhibit different cohort changing trends. To enhance migrant workers' long-term residence intentions, the government should acknowledge the differences among groups, promote the integration of migrant workers into urban society, and facilitate their citizenship status to achieve high-quality urbanization.