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%
|