1989 Population and Housing census - IPUMS Subset
Kenya, 1989
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Reference ID
KEN_1989_PHC_v01_M_v7.5_A_IPUMS
Producer(s)
Central Bureau of Statistics Ministry of Finance and Planning, IPUMS
Collection(s)
Metadata
Created on
Apr 22, 2011
Last modified
Aug 01, 2025
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- Data files
- KEN1989_PHC-H-H
- KEN1989_PHC-P-H
Occupation, 2 digits (KE1989A_OCC2)
Data file: KEN1989_PHC-P-H
Overview
Type:
Discrete
Start:
209
End:
210
Width:
2
Range:
-
Format:
Numeric
Questions and instructions
Literal question
<svar v="KE89A413 KE89A414 KE89A415 KE89A416"><span class="h2">C. Persons aged 10 years and over</span><br /></svar></p>
<p><svar a="all" v="KE89A414 KE89A415">P31. Occupation:<br /><br />What was [the respondent's] main occupation? Write detailed description of type of work: e.g., clerical, motor mechanic, primary school teacher, etc. ____<br /></svar>
<p><svar a="all" v="KE89A414 KE89A415">P31. Occupation:<br /><br />What was [the respondent's] main occupation? Write detailed description of type of work: e.g., clerical, motor mechanic, primary school teacher, etc. ____<br /></svar>
Categories
| Value | Category |
|---|---|
| 11 | Professional technical and related workers |
| 12 | Medical, paramedical and nursing workers |
| 13 | Physical and life scientists |
| 14 | Human related resource workers |
| 15 | Statisticians, mathematicians and economists |
| 16 | Teachers, lecturers, instructors |
| 17 | Jurists and legal practitioners |
| 18 | Cultural worker |
| 19 | Other professional and related workers |
| 21 | Public administrators |
| 22 | Private or Parastatal Managers Administrators |
| 23 | Accountant bookkeeper cashiers |
| 24 | Office clerks and office machine operators |
| 25 | Transport supervisors and clerks |
| 26 | Radio and telecom supervisors and clerks |
| 29 | Other admin managerial andclerical |
| 30 | Sales workers |
| 41 | Service workers |
| 42 | Lodging catering and cleaning service |
| 43 | Personal service workers |
| 49 | Other service workers |
| 51 | Agricultural workers |
| 52 | Forestry workers |
| 53 | Fishermen |
| 54 | Wildlife workers |
| 59 | Other agricultural, forestry and related |
| 61 | Production supervisor and controllers |
| 62 | Mine quarry and related workers |
| 63 | Chemical andmineral processing workers |
| 64 | Metal fabrication workers |
| 66 | Textile prepares |
| 67 | Textile andleather goods makers |
| 68 | Food beverage and tobacco processors |
| 69 | Wood workers and wood working machine operators |
| 70 | Smiths, welders and sheet metal workers |
| 71 | Metal work machine operators, machine fitters |
| 72 | Engine maintenance workers |
| 73 | Electrical and electronic workers |
| 74 | Printing and reproduction workers |
| 75 | Other manufacturing workers |
| 76 | Painters |
| 77 | Construction workers |
| 78 | Stationery operators |
| 79 | Other production and maintenance workers |
| 81 | Packer andpacking machine operators |
| 82 | Loading and storage workers |
| 83 | Transport workers |
| 98 | Unknown |
| 99 | NIU (not in universe) |
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.
Description
Definition
This variable indicates the main occupation (2 digits) during the last 7 days preceding the census night.
Universe
Kenya 1989: Persons age 10+ who worked for pay, worked on family holding or were on leave 7 days before the census night [discrepancies: type I 0.6%; type II none]
concept
Concept