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 |