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Table 2 Sociodemographic characteristics

From: Measurement and analysis of equity in health: a case study conducted in Zhejiang Province, China

Variables

I (n(%))

II (n(%))

III (n(%))

IV (n(%))

VI (n(%))

Total (n(%))

Gender

 Female

302(48.1)

268(49.9)

272(50.3)

254(49.9)

298(50.3)

1394(49.7)

 Male

326(51.9)

269(50.1)

269(49.7)

255(50.1)

294(49.7)

1413(50.3)

Age(years)

 0–10

49(7.8)

43(8.0)

33(6.1)

31(6.1)

43(7.3)

199(7.1)

 11–20

55(8.8)

55(10.2)

46(8.5)

44(8.6)

43(7.3)

243(8.7)

 21–30

65(10.4)

72(13.4)

68(12.6)

64(12.6)

60(10.1)

329(11.7)

 31–40

61(9.7)

70(13.0)

68(12.6)

84(16.5)

110(18.6)

393(14.0)

 41–50

118(18.8)

103(19.2)

105(19.4)

109(21.4)

112(18.9)

547(19.5)

 51–60

99(15.8)

64(11.9)

79(14.6)

88(17.3)

125(21.1)

455(16.2)

 Over 60

181(28.8)

130(24.2)

142(26.2)

89(17.5)

99(16.7)

641(22.8)

Education

 Illiteracy

77(12.3)

50(9.3)

48(8.9)

32(6.3)

41(6.9)

248(8.8)

 Primary school

258(41.1)

169(31.5)

171(31.6)

121(23.8)

83(14.0)

802(28.6)

 Secondary school

200(31.8)

184(34.3)

173(32.0)

167(32.8)

129(21.8)

853(30.4)

 High school

39(6.2)

62(11.5)

49(9.1)

48(9.4)

73(12.3)

271(9.7)

 Technical school

28(4.5)

27(5.0)

30(5.5)

35(6.9)

39(6.6)

159(5.7)

 University/college

26(4.1)

45(8.4)

70(12.9)

106(20.8)

227(38.3)

474(16.9)

Employment

 Employed

327(52.1)

308(57.4)

307(56.7)

319(62.7)

359(60.6)

1620(57.7)

 Retired

29(4.6)

70(13.0)

91(16.8)

78(15.3)

122(20.6)

390(13.9)

 Student

85(13.5)

76(14.2)

71(13.1)

64(12.6)

74(12.5)

370(13.2)

 Unemployed

187(29.8)

83(15.5)

72(13.3)

48(9.4)

37(6.3)

427(15.2)

Insurance

 None

11(1.8)

11(2.0)

13(2.4)

18(3.5)

20(3.4)

73(2.6)

 Employer-based

53(8.4)

119(22.2)

152(28.1)

189(37.1)

351(59.3)

864(30.8)

 Urban and rural

561(89.3)

404(75.2)

358(66.2)

298(58.5)

215(36.3)

1836(65.4)

 Commercial

3(0.5)

3(0.6)

11(2.0)

4(0.8)

5(0.8)

26(0.9)

 Other

0(0)

0(0)

7(1.3)

0(0)

1(0.2)

8(0.3)