Sample

(n = 576)

Online gamblers (n = 176)

Pathological gamblers

(n = 142)

Education level

Literate

50 (8.7%)

7 (4.0%)

5 (3.5%)

No

26 (4.5%)

4 (2.3%)

1 (0.7%)

Primary

69 (12.0%)

7 (4.0%)

7 (4.9%)

Secondary

251 (43.6%)

76 (42.2%)

66 (46.5%)

Higher

180 (31.3%)

82 (46.6%)

63 (44.4%)

Religion

Endogenous

25 (4.3%)

8 (4.5%)

6 (4.2%)

Christian

254 (44.1%)

90 (51.1%)

71 (50.0%)

Muslim

297 (51.6%)

78 (44.3%)

65 (45.8%)

Profession/trade

Farmer

14 (2.4%)

4 (2.3%)

3 (2.1%)

Craftsman

120 (20.8%)

25 (14.2%)

23 (16.2%)

Pupil/student

205 (35.6%)

93 (52.8%)

73 (51.4%)

Teacher

13 (2.3%)

4 (2.3%)

3 (2.1%)

Housewife

18 (3.1%)

0 (0.0%)

0 (0.0%)

Military/paramilitary

2 (0.3%)

0 (0.0%)

0 (0.0%)

Worker

24 (4.2%)

8 (4.5%)

9 (6.3%)

Retailer/Dealer

68 (11.8%)

10 (5.7%)

9 (6.3%)

Unemployed

60 (10.4%)

24 (13.6%)

17 (12.0%)

Other

52 (9.0%)

8 (4.5%)

5 (3.5%)

Marital status

Single

379 (65.8%)

150 (85.2%)

122 (85.9%)

Cohabitation/Common-law union

38 (6.6%)

7 (4.0%)

6 (4.2%)

Divorced/Separated/Widowed

4 (0.7%)

0 (0.0%)

0 (0.0%)

Married

155 (26.9%)

19 (10.8%)

14 (9.9%)

Numbers of dependants

No

334 (58.0%)

124 (70.5%)

100 (70.4%)

[1 to 2]

110 (19.1%)

32 (18.2%)

27 (19.0%)

[3 to 6]

111 (19.3%)

14 (8.0%)

12 (8.5%)

≥7

21 (3.6%)

6 (3.4%)

3 (2.1%)