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Table 2 Demographic characteristics of the surveyed children by migration status

From: Inequality in health service utilization among migrant and local children: a cross-sectional survey of children aged 0–14 years in Shenzhen, China

Investigated factor

Local child (n = 347)

Migrate child (n = 161)

χ2

P-Value

Gender

  

0.470

0.493

 Male

187 (53.89%)

92 (57.14%)

  

 Female

160 (46.11%)

69 (42.86%)

  

Annual family income

  

41.619

< 0.001

 Low (≤0.15 million yuan)

60 (17.29%)

63 (39.13%)

  

 Medium (0.15–0.5 million yuan)

211 (60.81%)

90 (55.90%)

  

 Medium to high (0.5–1 million yuan)

67 (19.31%)

6 (3.73%)

  

 High (1 million yuan or higher)

9 (2.59%)

2 (1.24%)

  

Child medical insurance participation

  

38.084

< 0.001

 Basic health insurance only

169 (48.70%)

80 (49.69%)

  

 Commercial insurance only

39 (11.24%)

8 (4.97%)

  

 Basic medical insurance + commercial insurance

101 (29.11%)

24 (14.91%)

  

 No insurance or others

38 (10.95%)

49 (30.43%)

  

Occupation of father

  

36.437

< 0.001

 White-collar workers

134 (38.62%)

28 (17.39%)

  

 Blue-collar workers

22 (6.34%)

6 (3.73%)

  

 Mixed white−/blue-collar workers

177 (51.01%)

104 (64.60%)

  

 Others

14 (4.03%)

23 (14.29%)

  

Occupation of mother

    

 White-collar workers

166 (47.84%)

70 (43.48%)

12.162

0.007

 Blue-collar workers

26 (7.49%)

6 (3.73%)

  

 Mixed white−/blue-collar workers

132 (38.04%)

60 (37.27%)

  

 Others

23 (6.63%)

25 (15.53%)

  

Education level of father

  

100.268

< 0.001

 Junior high school and below

40 (11.53%)

68 (42.24%)

  

 Senior high school/ technical secondary school/ junior college

102 (29.39%)

68 (42.24%)

  

 Bachelor’s degree or above

205 (59.08%)

25 (15.53%)

  

Education level of mother

  

80.931

< 0.001

 Junior high school and below

67 (19.31%)

83 (51.55%)

  

 Senior high school/ technical secondary school/ junior college

116 (33.43%)

61 (37.89%)

  

 Bachelor’s degree or above

164 (47.26%)

17 (10.56%)

  

Marital status of father

  

1.075

0.783

 Unmarried

13 (3.75%)

5 (3.11%)

  

 Married

330 (95.10%)

155 (96.27%)

  

 Divorced

2 (0.58%)

0 (0%)

  

 Widowed

2 (0.58%%)

1 (0.62%)

  

Marital status of mother

  

2.305

0.512

 Unmarried

4 (1.15%)

4 (2.48%)

  

 Married

332 (95.68%)

150 (43.23%)

  

 Divorced

5 (1.44%)

2 (1.24%)

  

 Widowed

6 (1.73%)

5 (3.11%)