| Value | Category | Cases | |
|---|---|---|---|
| 0 | None stated | 0 |
0%
|
| 1 | Construction worker | 0 |
0%
|
| 2 | Skilled non construction labor | 4 |
3.6%
|
| 3 | Unskilled non construction labor | 2 |
1.8%
|
| 4 | Garment worker | 1 |
0.9%
|
| 5 | Other type of factory work | 0 |
0%
|
| 6 | Service or entertainment work like working in a restaurant | 0 |
0%
|
| 7 | Domestic worker | 2 |
1.8%
|
| 8 | Work in government (not armed forced) | 18 |
16.2%
|
| 9 | Driver (taxi, tuk-tuk, moto or other) | 0 |
0%
|
| 10 | Owner of small business like selling things from a stall, with few or no employees | 8 |
7.2%
|
| 11 | Owner of large business with employees | 0 |
0%
|
| 12 | Unskilled office work | 0 |
0%
|
| 13 | White collar/skilled office work / professional | 69 |
62.2%
|
| 14 | Agriculture, forestry, fishing | 0 |
0%
|
| 15 | Agricultural laborer | 0 |
0%
|
| 16 | Policy/ Army / Military police | 0 |
0%
|
| 17 | Other | 7 |
6.3%
|
| Sysmiss | 889 |