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Table 1 Socio-demographic characteristics of questionnaire participant

From: Sharing genomic data from clinical testing with researchers: public survey of expectations of clinical genomic data management in Queensland, Australia

Demographic variables (N = 1494)

All participants N (%)

Australian population %

Gender (N = 1489, 99.7%)a

Male

487 (32.7)

49

Female

994 (66.8)

50.7

Other

8 (0.5)

ND

Age (years) (N = 1493, 99.9%)

18–34

58 (3.9)

31

35–54

369 (24.7)

36

55+

1066 (71.4)

37

Education (N = 1492, 99.9%)

University

918 (61.5)

23

Non-university

574 (38.5)

77

 Didn't complete year 10

21 (1.4)

11

 Year 10 or equivalent

107 (7.2)

13

 Year 12 or equivalent

155 (10.4)

19

 TAFE/Apprenticeship or equivalent

291 (19.5)

30

State of residence (N = 1475, 98.7%)

Queensland

820 (55.6)

20.1

Non-Queensland

655 (44.4)

79.9

 New South Wales

249 (16.9)

32.0

 Victoria

174 (11.8)

25.3

 Western Australia

79 (5.4)

10.6

 South Australia

61 (4.1)

7.2

 Tasmania

35 (2.4)

2.2

 Australia Capital Territory

49 (3.3)

1.7

 Northern Territory

8 (0.5)

0.9

Worked in life science (N = 1487, 99.5%)

 

ND

No

1384 (93.1)

 

Yes

103 (6.9)

 

Worked in healthcare (N = 1487, 99.5%)

No

1014 (68.2)

 

Yes

473 (31.8)

12.6 b

Had genetic or genomic testing (N = 1492, 99.9%)

ND

No

920 (61.7)

 

Yes

435 (29.2)

 

Unsure

137 (9.2)

 

SEIFA (ISRAD) (N = 1474, 98.7%)

1 (most disadvantages)

136 (9.2)

20

2

195 (13.2)

20

3

244 (16.6)

20

4

405 (27.5)

20

5 (most advantaged)

494 (33.5)

20

Location (N = 1474, 98.7%)

Metropolitan

916 (62.1)

67

Regional

558 (37.9)

33

  1. ND no data available from 2016 Census
  2. aTotal number of participants who responded to question and percentage of total questionnaire respondents
  3. bPercentage of workforce age population working in health and social services sector at time of 2016 Census