| Value | Category | Cases | |
|---|---|---|---|
| 0 | Unemployed/Applicant | 213 |
5.9%
|
| 1 | Farmer/Fishing | 483 |
13.4%
|
| 2 | Informal Marketeer | 669 |
18.6%
|
| 3 | Businessperson | 224 |
6.2%
|
| 4 | Clerical Worker/Sales girl | 47 |
1.3%
|
| 5 | Artisan/Apprentice/Carpenter | 377 |
10.5%
|
| 6 | Domestic Worker | 24 |
0.7%
|
| 7 | Miner | 6 |
0.2%
|
| 8 | Technical Worker/Company worker | 71 |
2%
|
| 9 | Teacher | 96 |
2.7%
|
| 10 | Government Worker | 202 |
5.6%
|
| 11 | NGO Worker | 22 |
0.6%
|
| 12 | Professional/Nurse/Accountant | 71 |
2%
|
| 13 | Retired | 48 |
1.3%
|
| 14 | Housewife | 461 |
12.8%
|
| 15 | Student/Under graduate | 552 |
15.3%
|
| 17 | Politician | 1 |
0%
|
| 18 | Religious leader | 8 |
0.2%
|
| 19 | Transporter | 15 |
0.4%
|
| 20 | Security worker | 2 |
0.1%
|
| 21 | Sportman | 3 |
0.1%
|
| 22 | Manager/Adminisrator in the church | 0 |
0%
|
| 23 | Traditional doctor/healer | 2 |
0.1%
|
| 24 | Manual labourer | 1 |
0%
|
| 25 | Sand dealer | 0 |
0%
|
| 26 | Youth Corper | 1 |
0%
|
| 27 | Gadama | 1 |
0%
|
| 28 | Other | 0 |
0%
|
| 99 | Missing Data | 3 |
0.1%
|