Skip to main content

Table 3 Descriptive statistics of categorical variables

From: How does air pollution affect urban settlement of the floating population in China? New evidence from a push-pull migration analysis

Variables Description Categories Freq. Percent
Migrate City location from origin to destination 1-East to East 26,451 22.75
2-Midwest to East 37,519 32.27
3-East to Midwest 5023 4.32
4-Midwest to Midwest 47,290 40.67
Education Individual education level 1-Less than Primary 17,966 15.45
2-Junior school 51,137 43.98
3-Senior school 25,501 21.93
4-College above 21,679 18.64
Marriage Individual marital status 0-Unmarried 21,545 18.53
1-Married 94,738 81.47
Hukou Hukou 0-Rural 25,919 22.29
1-Urban 90,364 77.71
Range The range of flow 0-Cross-provincial 71,177 61.21
1-Cross-city in the province 45,106 38.79
Status Employment status 1-Employee 59,592 51.25
2-Employer 5632 4.84
3-Self-employment 31,159 26.80
4-Others 19,900 17.11
Income Monthly household income 1-Less than 4200 28,854 24.81
2–4200-6000 21,214 18.24
3–6000-9000 35,934 30.90
4-Above 9000 30,281 26.04
House Family housing 1-Free housing 17,098 14.70
2-Tenement 69,883 60.10
3-Self-buying 29,302 25.20
Medical insurance Whether they have medical insurance 0-No 9981 8.58
1-Yes 106,302 91.42
Social security card Whether they have a social security card 0-No 56,136 48.28
1-Yes 60,147 51.72
Family Number of accompanied family members 1-Single 13,186 11.34
2-Spouse 94,738 81.47
3-Child 1488 1.28
4-Parents 6871 5.91