| Value | Category | Cases | |
|---|---|---|---|
| -99 | Illegal activities | 0 |
0%
|
| -5 | Other | 11 |
1.6%
|
| -4 | Missing data | 0 |
0%
|
| -3 | Refused to answer | 0 |
0%
|
| -2 | Not applicable | 0 |
0%
|
| -1 | Don't know | 37 |
5.3%
|
| 1 | Traditional leaders or government officials | 10 |
1.4%
|
| 2 | Professionals e.g. lawyers, doctors, teachers, nurses, businesspersons, religious leaders | 54 |
7.8%
|
| 3 | Technicians and associate professionals e.g. traditional healers, midwifes, computers technicians, engineers, social workers, police officers | 40 |
5.8%
|
| 4 | Clerks e.g. secretarial, office admin clerks, tellers, and cashiers | 98 |
14.1%
|
| 5 | Service workers and shop and market sales workers, waiters, models | 75 |
10.8%
|
| 6 | Skilled agricultrual and fishery workers, e.g. farming and fishing | 21 |
3%
|
| 7 | Craft and related trades workers, e.g. builders, painters, electrical, sewing, craftsperson (with wood, metal, textile, food) | 84 |
12.1%
|
| 8 | Plant and machine operators and assemblers, machine operators, drivers, factory workers | 71 |
10.2%
|
| 9 | Elementary occupations, e.g. street vendors, hawkers, domestic workers, farm labourers, unskilled labourers | 143 |
20.6%
|
| 10 | Armed forces | 24 |
3.5%
|
| 11 | 5 |
0.7%
|
|
| 12 | 6 |
0.9%
|
|
| 13 | 1 |
0.1%
|
|
| 14 | 1 |
0.1%
|
|
| 15 | 13 |
1.9%
|
|
| 69 | 1 |
0.1%
|
|
| Sysmiss | 5074 |