Skip to main content

Table 1 Distribution of study subjects

From: Can the impact of gender equality on health be measured? a cross-sectional study comparing measures based on register data with individual survey-based data

Variables

Men

Women

Working in gender-equal companies (n = 303)

Working in gender-unequal companies (n = 572)

Working in gender-equal companies (n = 316)

Working in gender-unequal companies (n = 216)

Age group (%)

 <30

27 (8.9)

102 (17.8)

27 (8.5)

51 (23.6)

 31-50

212 (70.0)

328 (57.4)

201 (63.6)

120 (55.6)

 >50

64 (21.1)

142 (24.8)

88 (27.9)

45 (20.8)

X 2 (p-value)

16.96 (p < 0.001)

23.77 (p < 0.001)

Education (%)

 Secondary

31 (10.4)

77 (13.7)

68 (21.9)

27 (12.6)

 Further

117 (39.4)

229 (40.6)

132 (42.4)

87 (40.7)

 Higher

149 (50.2)

258 (45.7)

111 (35.7)

100 (46.7)

X 2 (p-value)

2.48 (p = 0.290)

9.93 (p = 0.007)

Income, monthly (%)

 < 20,000

18 (6.0)

54 (9.6)

114 (36.3)

57 (26.8)

 20,000 – 30,000

89 (29.7)

222 (39.4)

107 (34.1)

82 (38.5)

 > = 30,000

193 (64.3)

287 (51.0)

93 (29.6)

74 (34.7)

X 2 (p-value)

14.48 (p = 0.001)

5.31 (p = 0.07)

Employment (%)

 Full time

291 (96.7)

516 (91.5)

239 (76.8)

149 (70.3)

 Part time

10 (3.3)

48 (8.5)

72 (23.2)

63 (29.7)

X 2 (p-value)

8.45 (p = 0.004)

2.84 (p = 0.092)

Self-rated equality at company

 Completely equal

103 (34.4)

215 (38.5)

50 (16.0)

57 (27.3)

 Quite equal

161 (53.9)

259 (46.4)

191 (61.2)

120 (57.4)

 Not equal

35 (11.7)

84 (15.1)

71 (22.8)

32 (15.3)

X 2 (p-value)

4.64 (p = 0.098)

11.52 (p = 0.003)