![]() Health-related factors such as physical health, sleeping time and density of neighborhood medical facilities, have a significant impact on manual workers’ subjective well-being. The results of the regression analysis show that the subjective well-being of all social classes could be improved by active participation in fitness exercises, harmonious neighborhood relationships and a central residential location. The subjective well-being of white-collar workers outside the system is below the average value, and retirees have poor subjective well-being. The subjective well-being of white-collar workers inside the system and manual workers is high. The clustering results divided Guangzhou urban residents into four classes: retirees, white-collar workers outside the system, manual workers and white-collar workers inside the system. Taking Guangzhou as an example, based on the data of a household survey conducted in 2016, this paper obtains the social hierarchical structure through two-step clustering, and explores the differences between influencing factors for subjective well-being using multiple linear regression models. The socio-economic resources and living needs of different social classes are different, resulting in differences in the level of subjective well-being and the influencing factors for this. Against the background of institutional transformation, China has a special social stratification structure. ![]() With the great pressure of modern social life, the problem of residents’ subjective well-being has attracted scholars’ attention.
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