Value |
Category |
0 |
Unemployed /Applicant |
1 |
Farmer/fisherman |
2 |
Informal marketeer |
3 |
Businessperson |
4 |
Clerical worker / Sales girl |
5 |
Artisan / Apprentice / Carpenter |
6 |
Domestic worker |
7 |
Miner |
8 |
Technical worker / Company worker |
9 |
Teacher |
10 |
Government worker |
11 |
NGO worker |
12 |
Professional / Nurse / Accountant |
13 |
Retired |
14 |
Housewife |
15 |
Student / Under graduate |
17 |
Politician |
18 |
Religious Leader |
19 |
Transporter |
20 |
Security Worker |
21 |
Sportman |
22 |
Taxi Driver |
23 |
Traditional doctor / healer |
24 |
Laborer |
25 |
Sand dealer |
26 |
Youth corper |
27 |
Gadama |
28 |
Medical worker |
29 |
Soldier |
30 |
Shop keeper |
31 |
Services Worker |
32 |
Fisherman |
33 |
Industrial Worker |
41 |
Employer,>10 employees |
42 |
Employer, <10 employees |
44 |
Supervisor |
45 |
Non-manual office worker |
46 |
Foreman/supervisor |
47 |
Skilled manual worker (formal sector) |
48 |
Skilled manual worker (informal sector) |
49 |
Unskilled manual worker (formal sector) |
50 |
Unskilled manual worker (informal sector) |
51 |
Miner |
52 |
Commercial farmer |
53 |
Subsistance farmer |
54 |
Farmworker |
55 |
Domestic/maid |
56 |
Armed services/police |
59 |
Disabled |
60 |
Never had a job |
61 |
Don't know |
95 |
Other |
98 |
Refused to answer |
99 |
Missing data |
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.