An Analysis of Communication Initiatives to Combat Mule Account Problems in Malaysia
Table 3: Mule Respondents (n = 89)
|
Demography |
Frequency |
Percentage |
| Gender |
Male |
50 |
56.2 |
|
Female |
39 |
43.8 |
|
|
|
|
| Marital Status |
Married |
42 |
47.2 |
|
Single |
45 |
50.6 |
|
Others |
2 |
2.2 |
|
|
|
|
| Age (years) |
25 and below |
7 |
7.9 |
|
26-35 |
44 |
49.4 |
|
36-45 |
25 |
28.1 |
|
46-55 |
12 |
13.5 |
|
56 and above |
1 |
1.1 |
|
|
|
|
| Academic Qualification |
SPM and below |
36 |
40.4 |
|
Diploma |
30 |
33.7 |
|
Degree |
21 |
23.6 |
|
Master |
2 |
2.2 |
|
PhD |
0 |
0.0 |
|
|
|
|
| Race |
Malay |
66 |
74.2 |
|
Chinese |
10 |
11.2 |
|
India |
11 |
12.4 |
|
Others |
2 |
2.2 |
|
|
|
|
| Employment Status |
Self-Employed |
31 |
34.8 |
|
Student |
2 |
2.2 |
|
Public Sector/GLC |
7 |
7.9 |
|
Private Sector |
31 |
34.8 |
|
Non-Employed |
18 |
20.2 |
|
|
|
|
| State |
Johor |
6 |
6.7 |
|
Kedah |
4 |
4.5 |
|
Kuala Lumpur |
17 |
19.1 |
|
Melaka |
6 |
6.7 |
|
Negeri Sembilan |
5 |
5.6 |
|
Pahang |
2 |
2.2 |
|
Perak |
3 |
3.4 |
|
Pulau Pinang |
2 |
2.2 |
|
Sabah |
2 |
2.2 |
|
Sarawak |
1 |
1.1 |
|
Selangor |
41 |
46.1 |
|
Terengganu |
0 |
0.0 |
|
|
|
|
| Monthly Income |
Less than RM2,000 |
32 |
36.0 |
|
RM2,001 – RM4,000 |
33 |
37.1 |
|
RM4,001 – RM6,000 |
18 |
20.2 |
|
RM6,001 – RM8,000 |
6 |
6.7 |
|
RM8,001- RM 10,000 |
0 |
0.0 |
|
More than RM10,000N=89 |
0 |
0.0 |
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