A Study on the Self Rated Health Status of Migrant Workers in Cities: A Linear Regression Analysis Based on CGSS2020

Abstract

With the gradual relaxation of the registered residence policy, the number of migrant workers in cities has increased rapidly in recent years, and the social health problems caused by the massive influx of this group of people into cities have become a problem that social development must face directly. This article is based on the 2020 CGSS data and uses SPSS statistical software to conduct linear regression analysis on the health level of this group evaluated by themselves. This study selects self-rated health as the indicator to measure the health level of this group, sourced from the question "How is your health condition?" in the questionnaire. Researchers have found that self-rated health status is significantly correlated with age, education level, and sense of life happiness. The research on the self-assessment of health status of this group is helpful to promote the progress and improvement of social welfare policies for this group, and has important reference value for future strategic planning such as the construction of the national medical and health service system, the improvement of the registered residence system, and the transformation of population policies.