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The Tendency to be a Money Mule: At-Risk Behaviours and the Determinants

Table 1: Demography of the Respondents

Demography Frequency Percentage
Gender
Male 92 45.8
Female 109 54.2
Age (years)
25 and below 39 19.4
26-35 78 38.8
36-45 54 26.9
46-55 28 13.9
56 and above 2 1.0
Academic Qualification
SPM and below 60 29.9
Diploma 46 22.9
Degree 64 31.8
Master 30 14.9
PhD 1 0.5
Race
Malay 156 77.6
Chinese 25 12.4
India 13 6.5
Others 7 3.5
Employment Status
Self-Employed 39 19.4
Student 35 17.4
Public Sector/GLC 34 16.9
Private Sector 70 34.8
Non-Employed 23 11.4
State
Johor 11 5.5
Kedah 17 8.5
Kuala Lumpur 27 13.4
Melaka 9 4.5
Negeri Sembilan 9 4.5
Pahang 2 1.0
Perak 20 10.0
Pulau Pinang 13 6.5
Sabah 7 3.5
Sarawak 7 3.5
Selangor 74 36.8
Terengganu 5 2.5
Monthly Income
Less than RM2,000 82 40.8
RM2,001 – RM4,000 58 28.9
RM4,001 – RM6,000 28 13.9
RM6,001 – RM8,000 20 10.0
RM8,001- RM 10,000 8 4.0
More than RM10,000 5 2.5
Aware of Mule Account Issues
Yes 136 67.7
Not Sure 26 12.9
Never hear before 39 19.4
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