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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