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Table 1 Sample Characteristics of Floating Population Covered by Different Medical Insurance

From: Gap analysis on hospitalized health service utilization in floating population covered by different medical insurances: case study from Jiangsu Province, China

Variables

MIUE(N = 6095)

Other Inurances(N = 3924)

No Insurance(N = 1981)

Overall(N = 12,000)

Mean (SD) or %

Mean (SD) or %

Mean (SD) or %

Mean (SD) or %

Age**, in years

33.82 (9.58)

32.02 (8.18)

32.09 (9.58)

32.95 (9.19)

Gender

 Male

57.29%

60.12%

55.83%

57.98%

 Female

42.71%

39.88%

44.17%

42.03%

Education level

 Primary school or less

17.51%

5.28%

17.01%

13.43%

 High school

76.19%

61.72%

74.56%

71.19%

 More than high school

6.30%

33.00%

8.43%

15.38%

Marriage

 Spinsterhood

17.10%

22.83%

26.86%

20.58%

 Married

82.90%

77.17%

73.14%

79.42%

Floating Area

 Interprovincial

70.75%

58.23%

73.35%

67.08%

 Inside province

29.25%

41.77%

26.65%

32.92%

Occupation

 Civil servant

0.36%

3.59%

0.30%

1.46%

 Manufacturing industry

52.67%

30.81%

56.60%

45.74%

 Business & Services

44.98%

64.70%

40.62%

51.11%

 Unemployed

1.99%

0.90%

2.48%

1.69%

Personal monthly income**, (1–3)

 lower than 600 dollars

50.66%

40.59%

54.78%

47.84%

 between 600 dollars and 1200 dollars

37.86%

45.86%

34.91%

40.15%

 over 1200 dollars

11.78%

13.55%

10.31%

12.01%

Family monthly income**, (1–3)

 lower than 800 dollars

35.64%

31.47%

44.78%

35.78%

 between 800 dollars and 1600 dollars,

51.50%

50.54%

43.97%

49.94%

 over 1600 dollars

12.86%

17.99%

11.25%

14.28%

  1. **: p < 0.001