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Table 1 Descriptive statistics for the original variables used in multilevel analysis. N = 49,873

From: Income inequality and privatisation: a multilevel analysis comparing prefectural size of private sectors in Western China

Variables

Mean

SD

Min

Max

Prefecture level

Privatisation

22.89

7.65

0

45.03

Gini

.55

.06

.31

.66

Log Gini

−.61

.12

−1.18

−.41

Average income

4292.56

1888.40

1559.69

21653.52

Average education

5.47

1.19

1.32

1.29

Avrg household size

4.48

.61

2.86

6.60

% Han Chinese

.69

.30

0

1

% Living in cities

.12

.14

0

1

Individual level

Income

4273.01

7155.84

0

400000

Log income

7.68

1.37

0

12.90

Gender

.48

.50

0

1

Age

41.64

10.84

16

65

Majority

.71

.45

0

1

Married

.96

.21

0

1

Urban hukou

.17

.38

0

1

Household size

4.33

1.55

1

19

Education

5.35

4.25

0

23

Has been sick

.32

.47

0

1

Normal BMI

22.14

2.97

9.28

75.46

Occupational class

    

 Working class

.08

.27

0

1

 Service class

.17

.37

0

1

 Agriculture

.75

.43

0

1

Sector

 Agriculture

.77

.42

0

1

 State

.11

.31

0

1

 Collective

.01

.09

0

1

 Private

.10

.30

0

1

 Organisations

.01

.08

0

1

 Other

.01

.09

0

1

Working hour

48.11

25.33

0

168