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Chapter 5
DEMOGRAPHIC PROFILE OF OFFENDERS
Published in Monograph No 55, May 2001
The Role of Firearms in Crime in South Africa
A Detailed Analysis of Police Dockets
Ettienne Hennop, Jakkie Potgieter and Clare Jefferson
The following section provides an overview of details about offenders involved in the various crimes. It considers the main demographic information, including gender, race, age, vocation and employment. Detailed information on offenders is lacking in this study, because it is largely absent from dockets. It is self-evident that, in many cases, either the victim or the police simply did not have access to this information.
Gender
In most firearm-related crimes, offenders were male. It is interesting that women committed two out of the 25 offences by discharging a firearm in a built-up place.
| Table 20: Gender profile of offenders (percentage) |
| Gender |
Armed robbery |
Common robbery |
Hijacking |
Murder |
Attempted murder |
Theft of firearm |
Point- ing a firearm |
Dis- charging a firearm in built-up place |
Pos- session of illegal firearm |
Assault |
Negligent loss of firearm |
Possession /use of firearm under influence of alcohol |
| Male |
98.9 |
97.7 |
98.4 |
97.1 |
98.9 |
95.2 |
97.2 |
92 |
95 |
100 |
100 |
100 |
| Female |
1.1 |
2.3 |
1.6 |
2.9 |
1.1 |
4.8 |
2.8 |
8 |
5 |
0 |
0 |
0 |
| Total |
100 |
100 |
100 |
100 |
100 |
100 |
100 |
100 |
100 |
100 |
100 |
100 |
| Offenders (n) |
443 |
173 |
183 |
70 |
87 |
21 |
106 |
25 |
20 |
17 |
6 |
6 |
| Table 21: Race profile of offenders (percentage) |
|
Race
|
Armed robbbery |
Common robbery |
Hi- jacking |
Murder |
Attempted murder |
Theft of firearm
|
Point- ing a firearm |
Dis- charging a firearm in built-up place |
Pos- session of illegal firearm |
Assault |
Negligent loss of firearm |
Possession /use of firearm under influence of alcohol |
|
|
|
|
|
|
|
|
|
|
|
|
|
| African |
78.7 |
88.9 |
77.5 |
8.8 |
12.7 |
72 |
18.7 |
21.7 |
50 |
33.3 |
0 |
0 |
| Asian |
4.3 |
1.8 |
0.5 |
0 |
8.9 |
4 |
29.9 |
13 |
0 |
22.2 |
50 |
0 |
| Coloured |
14.5 |
9.4 |
19.8 |
85.3 |
74.7 |
20 |
37.4 |
56.5 |
40 |
33.3 |
50 |
83.3 |
| White |
2.3 |
0 |
2.2 |
5.9 |
3.8 |
4 |
14 |
8.7 |
10 |
11.1 |
0 |
16.7 |
|
Total
|
100 |
100 |
100 |
100 |
100 |
100 |
100 |
100 |
100 |
100 |
100 |
100 |
| Offenders (n) |
441 |
171 |
182 |
68 |
79 |
25 |
107 |
23 |
20 |
18 |
6 |
5 |
| Table 22: Age profile of offenders (percentage) |
|
Race
|
Armed robbery |
Common robbery |
Hi- jacking |
Murder |
Attempted murder |
Theft of firearm |
Pointing a firearm |
Dis- charging a firearm in built-up place |
Pos- session of illegal firearm |
Assault |
Negligent loss of firearm |
Possession- /use of firearm under influence of alcohol |
| >16 years |
1.6 |
5.9 |
0 |
0 |
0 |
14.3 |
2.4 |
0 |
0 |
0 |
0 |
0 |
| 16-20 years |
15.6 |
29.4 |
20 |
20 |
21.9 |
14.3 |
9.5 |
5 |
19 |
0 |
0 |
0 |
| 21-30 years |
60.9 |
29.4 |
60 |
49.1 |
40.6 |
42.9 |
47.6 |
25 |
42.9 |
81.8 |
0 |
20 |
| 31-40 years |
20.3 |
35.3 |
10 |
27.3 |
18.8 |
28.6 |
26.2 |
35 |
38.1 |
18.2 |
50 |
40 |
| 41-50 years |
1.6 |
0 |
10 |
3.6 |
12.5 |
0 |
11.9 |
35 |
0 |
0 |
0 |
40 |
| 51-60 years |
0 |
0 |
0 |
0 |
6.3 |
0 |
2.4 |
0 |
0 |
0 |
50 |
0 |
| Total |
100 |
100 |
100 |
100 |
100 |
100 |
100 |
100 |
100 |
100 |
100 |
100 |
| Offenders (n) |
64 |
17 |
10 |
55 |
32 |
7 |
42 |
20 |
21 |
11 |
6 |
5 |
Race
The information on the race of the offender provides little insight into the nature of firearm-related crime.
Age
The age of the offender was not always available for a number or reasons. Most notable was the fact that victims did not know their offenders, and often based their age on a broad estimate of what they saw, if they were present at the time of the incident, or in visual contact with the offenders. It is evident that most offenders were between the age of 16 to 30 years. The age of offenders contravening the Arms and Ammunition Act was usually higher than this average.
Vocational profile
Little information was available on the vocation of offenders in firearm-related crimes. Although the data does provide an indication of the offenders vocations (given the high degree of missing information on their vocations), this information should be used illustratively rather than factually. What the data illustrates is that there are a significant number of offenders involved in firearm-related crimes who are employed in the formal sector, and that conventional thinking that an offender is an unemployed person, must be challenged. More especially, the fact that scholars, housewives and retired people also commit crimes is a fact that should not be overlooked.
Employment status
Taking into account the limitations (as mentioned above) of the available information on the vocational profile of offenders, their employment status should be used for its descriptive value. Comparatively speaking, more offenders committing crimes in contravention of the Arms and Ammunition Act were employed than in other crime types.
Type of employment
Given the lack of information available in dockets on the offenders type of employment, very little can be deduced from the table below, which was intended to provide this information. What it clearly indicates, is that no group of offenders are involved in a distinct type of profession.
|
Table 23: Vocational profile of offenders (percentage)
|
| Vocation |
Armed robbery |
Common robbery |
Hi- jacking |
Murder |
Attempted murder |
Theft of firearm |
Point- ing a firearm |
Dis- charging a firearm in built-up place |
Pos- session of illegal firearm |
Assault |
Neg- ligent loss of firearm |
Possession /use of firearm under influence of alcohol |
| Attending school |
5.9 |
16.7 |
0 |
1.7 |
0 |
16.7 |
0 |
0 |
20 |
0 |
0 |
0 |
| School-going age, not attending |
0 |
0 |
0 |
1.7 |
3.3 |
0 |
2 |
0 |
0 |
0 |
0 |
0 |
| Full-time scholar/student |
0 |
0 |
0 |
1.7 |
0 |
0 |
4.1 |
0 |
0 |
0 |
0 |
0 |
| Housewife |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
5 |
4 |
0 |
0 |
0 |
| Retired/ pensioner |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
0 |
0 |
| Unemployed |
41.2 |
55.6 |
50 |
34.5 |
43.3 |
33.3 |
22.4 |
10 |
56 |
0 |
50 |
20 |
| Employed, formal sector |
35.3 |
22.2 |
41.7 |
34.5 |
33.3 |
50 |
59.2 |
80 |
8 |
100 |
50 |
80 |
| Employed, informal sector |
11.8 |
0 |
0 |
6.9 |
0 |
0 |
0 |
5 |
4 |
0 |
0 |
0 |
| Self-employed |
2.9 |
0 |
8.3 |
17.2 |
16.7 |
0 |
8.2 |
0 |
8 |
0 |
0 |
0 |
| Other |
2.9 |
5.6 |
0 |
1.7 |
3.3 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
| Total |
100 |
100 |
100 |
100 |
100 |
100 |
100 |
100 |
100 |
100 |
100 |
100 |
| Offenders (n) |
34 |
18 |
12 |
58 |
30 |
6 |
49 |
20 |
25 |
9 |
6 |
5 |
|
Table 24: Employment status of offenders (percentage)
|
| Status |
Armed robbery |
Common robbery |
Hi- jacking |
Murder |
Attempted murder |
Theft of firearm |
Pointing a firearm |
Dis- charging a firearm in built-up place |
Pos- session of illegal firearm |
Assault |
Negligent loss of firearm |
Possession- /use of firearm under influence of alcohol |
| Not looking for employment (such as scholars, students, retired) |
5.9 |
16.7 |
0 |
5.2 |
3.3 |
16.7 |
10.2 |
5 |
24 |
0 |
0 |
0 |
| Unemployed |
41.2 |
55.6 |
50 |
34.5 |
43.3 |
33.3 |
22.4 |
10 |
56 |
0 |
50 |
20 |
| Employed |
5 |
22.2 |
50 |
58.6 |
50 |
50 |
67.3 |
85 |
20 |
100 |
50 |
80 |
| Other |
2.9 |
5.6 |
0 |
1.7 |
3.3 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
| Total |
100 |
100 |
100 |
100 |
100 |
100 |
100 |
100 |
100 |
100 |
100 |
100 |
| Offenders (n) |
34 |
18 |
12 |
58 |
30 |
6 |
49 |
20 |
25 |
9 |
6 |
5 |
|
Table 25: Occupational profile of offenders
|
| Occupation |
Armed robbery |
Common robbery |
Hi- jacking |
Murder |
Attempted murder |
Theft of firearm |
Point- ing a firearm |
Dis- charging a firearm in built-up place |
Pos- session of illegal firearm |
Assault |
Negligent loss of firearm |
Possession /use of firearm under influence of alcohol |
| Academic, Researcher, teacher |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
| Bar/club owner |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
| Builder, contractor, foreman |
0 |
0 |
2 |
1 |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
| Business person |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
| Civil servant |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
| Clerk |
2 |
0 |
0 |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
| Factory worker |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
| Hawker, vendor |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
| Hotel industry worker |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
| Labourer |
0 |
0 |
0 |
2 |
0 |
0 |
1 |
0 |
1 |
0 |
0 |
0 |
| Manager, assistant, supervisor |
0 |
0 |
0 |
1 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
| Medical profession employee |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
| Messenger, office driver |
0 |
1 |
0 |
1 |
0 |
0 |
2 |
1 |
0 |
1 |
0 |
0 |
| Pilot, radar operator |
0 |
0 |
0 |
1 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
| Prison warder |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
| Private security guard |
1 |
0 |
0 |
3 |
1 |
0 |
4 |
2 |
0 |
1 |
0 |
0 |
| Sales rep mobile |
1 |
0 |
0 |
0 |
0 |
1 |
1 |
1 |
0 |
0 |
0 |
0 |
| SANDF |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
| SAPS |
1 |
1 |
0 |
4 |
1 |
0 |
5 |
3 |
2 |
2 |
3 |
0 |
| Secretary |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
| Shop assistant, cashier |
0 |
0 |
0 |
0 |
1 |
0 |
2 |
0 |
0 |
1 |
0 |
0 |
| Smuggler, drug dealer |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
| Taxi driver owner |
0 |
0 |
2 |
4 |
3 |
0 |
2 |
0 |
1 |
0 |
0 |
0 |
| Technician, mechanic |
1 |
0 |
1 |
4 |
0 |
1 |
2 |
0 |
0 |
0 |
0 |
0 |
| Trade, craft person |
0 |
0 |
0 |
0 |
1 |
0 |
1 |
1 |
0 |
0 |
0 |
0 |
| Truck driver |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
| Waiter/waitress |
0 |
0 |
0 |
1 |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
| Total |
6 |
2 |
5 |
30 |
9 |
3 |
25 |
11 |
4 |
5 |
3 |
1 |

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