Greater Eldoret Health and Development Survey, Wave 1, 2004
Kenya, 2004
Get Microdata
Reference ID
KEN_2004_GEHDS-W1_v01_EN_M_v01_A_OCS
Producer(s)
Markus Goldstein and Harsha Thirumurthy
Collections
Metadata
Created on
Oct 14, 2020
Last modified
Nov 08, 2022
Page views
170613
Downloads
760
- Data files
- aghead_a
- aghead_b
- aghead_c
- aghead_d
- aghead_e
- aghead_e1_2
- agspouse_a
- agspouse_b
- agspouse_c
- agspouse_c_2
- anthrop_a
- anthrop_b
- anthrop_c
- assets
- assets_I8
- assets_I12
- assets_I17
- assets_II
- assets_II5
- assets_II11
- assets_III
- assets_III7
- assets_III13
- assets_IV
- assets_V
- assets_V6
- assets_V12
- assets_VI
- behavior
- behavior_c5
- education
- educexp
- enterprise
- food
- health
- health_c
- health_c_I
- health_c_II
- health_c_III
- health_c_IV
- hh_roster
- identification
- income
- iroster
- othexp
- polygamoushh
- shocks
- shocks_a3
- shocks_a7
- shocks_a11
- shocks_a15
- shocks_a19
- shocks_a24
- shocks_a27
- shocks_b30
- shocks_b33
- shocks_b36
- shocks_b40
- shocks_c44
- shocks_c49
- shocks_c53
- timealloc
- transfers
- transfers_a3
- transfers_a9
- transfers_a16
- transfers_b3
- transfers_d
- youth
What did do for this work (inb02b)
Data file: income
Overview
Valid:
460
Invalid:
3347
Type:
Discrete
Decimal:
0
Width:
2
Range:
1 - 99
Format:
Numeric
Questions and instructions
Literal question
What did [NAME] do in this work? What kind of trade, industry or business is it connected with? Occupation Code.
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Crop farmer | 36 |
7.8%
|
| 2 | Animal farmer | 8 |
1.7%
|
| 3 | Housewife | 0 |
0%
|
| 4 | Trader/merchant/salesperson | 16 |
3.5%
|
| 5 | Transport worker | 29 |
6.3%
|
| 6 | Construction worker | 24 |
5.2%
|
| 7 | Teacher/education professional | 67 |
14.6%
|
| 8 | Health professional/TBA/trad. Healer | 3 |
0.7%
|
| 9 | Secretary/clerical | 13 |
2.8%
|
| 10 | Factory worker | 8 |
1.7%
|
| 11 | Restaurant/bar/hotel | 10 |
2.2%
|
| 12 | Skilled trades (carpenter, tailor, etc.) | 11 |
2.4%
|
| 13 | Preacher/pastor | 3 |
0.7%
|
| 14 | Village elder | 1 |
0.2%
|
| 15 | Domestic worker | 26 |
5.7%
|
| 16 | Civil Servant/Government | 54 |
11.7%
|
| 17 | Other (specify) | 151 |
32.8%
|
| 88 | No activity/unemployed | 0 |
0%
|
| 99 | Don’t Know | 0 |
0%
|
| Sysmiss | 3347 |
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.
Interviewer instructions
Write down the exact description of the job of the individual in block letters. Then find the code for the type of job that most closely fits the description. Write the code number in the column 2b, which is labeled "Occupation Code." For example, suppose that the individual is employed as a truck driver for a company. This means the individual occupation is "Transport worker - code 5." You should write the following:
Descprition: TRUCK DRIVER Occupation Code: 5
** If the individual worked as a wage or salaried employee in more than one job in the past 7 days, then you should begin by asking about the job in which he/she spent the most amount of time in the past 7 days.
Descprition: TRUCK DRIVER Occupation Code: 5
** If the individual worked as a wage or salaried employee in more than one job in the past 7 days, then you should begin by asking about the job in which he/she spent the most amount of time in the past 7 days.
Question post text
If more than one job of this type, choose the one that they spent the most time on in the past 12 months.
Description
Universe
All household members 8 years and older who worked as an EMPLOYEE in the past 7 days.
Source of information
Primary male respondent