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Table 1 Participant socio-demographic and gambling characteristics (n = 363)

From: Gamblers’ perceptions of responsibility for gambling harm: a critical qualitative inquiry

 

Frequency

Percentagea

Gender

  Male

185

51.0%

  Female

178

49.0%

Geographic location

  New South Wales

217

59.8%

  Victoria

146

40.2%

Age

  18–29

99

27.3%

  30–45

89

24.5%

  46–60

90

24.8%

  60 + 

85

23.4%

Country of birth

  Australia

290

79.9%

  United Kingdom

16

4.4%

  India

14

3.9%

  China

10

2.8%

  Other

33

9.1%

Education

  Secondary school education

114

31.4%

  Trades-based education

105

28.9%

  Tertiary education

144

39.7%

Employment status

  Working full-time

165

45.5%

  Working part-time / casually

67

18.5%

  Retired

60

16.5%

  Homemaker

22

6.1%

  Unemployed but looking for work

20

5.5%

  Full-time student

14

3.9%

  Other

15

4.1%

Income per week

  Over $3000

39

10.7%

  $2500—$2999

39

10.7%

  $2000—$2499

51

14.0%

  $1500—$1999

65

17.9%

  $1000—$1499

82

22.6%

  $500—$999

59

16.3%

  $499 or less

27

7.4%

  No income

1

0.3%

Gambling products used in a typical monthb

  Electronic gambling machines

268

73.8%

  Lotteries

231

63.6%

  Sports betting

185

51.0%

  Scratch cards / scratchies

166

45.6%

  Horse betting

128

35.2%

  Casino games

70

19.2%

Number of gambling products used in a typical month

  1

54

14.9%

  2

91

25.1%

  3

120

33.1%

  4 + 

98

27.0%

  1. aTotals may not add up to 100% due to rounding
  2. bParticipants could select multiple responses