Kenya Demographic and Health Survey 2003
Kenya, 2003
Kenya National Bureau of Statistics (KNBS)
Created on
September 20, 2022
Last modified
September 20, 2022
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Respondent's occupation (V716)
Data file: KEBR41FL
Overview
Valid:
22050
Invalid:
24
Minimum:
0
Maximum:
96
Type:
Continuous
Decimal:
0
Width:
3
Range:
0 - 98
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | Not working | 6801 |
30.8%
|
| 11 | Professional Technical & Related workers | 1 |
0%
|
| 12 | Medical, paramedical and nursing workers | 145 |
0.7%
|
| 13 | Physical & life scientist | 0 |
0%
|
| 14 | Human related resources workers | 7 |
0%
|
| 15 | Statisticians, mathematicians & Economist | 24 |
0.1%
|
| 16 | Teacher, lecturer, instructors | 606 |
2.7%
|
| 17 | Jurist & legal practisioners | 0 |
0%
|
| 18 | Cultural workers | 1 |
0%
|
| 19 | Other professional & related workers | 11 |
0%
|
| 20 | 0 |
0%
|
|
| 21 | Public administrators | 32 |
0.1%
|
| 22 | Private/Parastatal mamagers/Administrators | 22 |
0.1%
|
| 23 | Accountants | 31 |
0.1%
|
| 24 | Office clerks & office machine operators | 223 |
1%
|
| 25 | Transport supervisor & clerks | 0 |
0%
|
| 26 | Radio & telecom supervisor & clercks | 32 |
0.1%
|
| 29 | Other admin managerial & clerical | 0 |
0%
|
| 30 | Sales workers | 3958 |
18%
|
| 41 | Service workers | 22 |
0.1%
|
| 42 | Lodging catering & cleaning service | 413 |
1.9%
|
| 43 | Personnal service workers | 513 |
2.3%
|
| 49 | Other service workers | 32 |
0.1%
|
| 50 | 0 |
0%
|
|
| 51 | Agricultural workers | 8069 |
36.6%
|
| 52 | Forestry workers | 157 |
0.7%
|
| 53 | Fishermen | 120 |
0.5%
|
| 54 | Wildlife workers | 0 |
0%
|
| 59 | Other Agricultural, forestry & related workers | 0 |
0%
|
| 60 | 0 |
0%
|
|
| 61 | Production supervisor & controllers | 2 |
0%
|
| 62 | Mine quary & related workers | 39 |
0.2%
|
| 63 | Chemical & mineral processing workers | 0 |
0%
|
| 64 | Metal fabrication workers | 0 |
0%
|
| 65 | Wood and paper preparers | 0 |
0%
|
| 66 | Textile preparers | 0 |
0%
|
| 67 | Textile & leather good makers | 315 |
1.4%
|
| 68 | Food beverage & tobacco processors | 15 |
0.1%
|
| 69 | Wood workers & woodworking machine operators | 1 |
0%
|
| 70 | Smiths, welders & sheet-metal workers | 6 |
0%
|
| 71 | Metal work machine operators | 0 |
0%
|
| 72 | Engine maintenace workers | 0 |
0%
|
| 73 | Electrical & electronic workers | 5 |
0%
|
| 74 | Printing & production workers | 10 |
0%
|
| 75 | Other manufacturing workers | 84 |
0.4%
|
| 76 | Painters | 3 |
0%
|
| 77 | Construction workers | 19 |
0.1%
|
| 78 | Stationery engine operators | 3 |
0%
|
| 79 | Other production & maintenance workers | 0 |
0%
|
| 80 | 0 |
0%
|
|
| 81 | Packers & packing machine operators | 0 |
0%
|
| 82 | Loading & storage workers | 0 |
0%
|
| 83 | Transport workers | 4 |
0%
|
| 91 | Other labourers | 313 |
1.4%
|
| 95 | Military personnel | 0 |
0%
|
| 96 | Other | 11 |
0%
|
| 97 | 0 |
0%
|
|
| 98 | Don't know | 0 |
0%
|
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.