Life Satisfaction Of The Floating Population In Zhejiang Province And Its Influencing Factors

In this paper, the sixth census data and a third of women in the social status of the survey data about Zhejiang Province is used to do Binary Logistic Regression, with the SPSS.20statistical software. Analyze the basic characteristics of the floating population in Zhejiang Province and living situation, and life satisfaction of the floating population and its influencing factors. Statistical tools used in the paper are descriptive analysis, bivariate cross analysis and binary logistic regression model. And divided into the overall liquidity population, men floating population and among female migrants to construct three binary logistic regression model, to explore the differences between mobile groups and related factors of life satisfaction and homogeneity.The innovation of this study lies in the combination of the floating population and life satisfaction. According to the regression results, there are three factors affecting the floating population life satisfaction, they are income levels, labor intensity, and family status,where there are differences between men and women, and the men and women respectively in the overall differences.