Greater Eldoret Health and Development Survey, Wave 3, 2006
Kenya, 2006
Get Microdata
Reference ID
KEN_2006_GEHDS-W3_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
62021
Downloads
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- Data files
- agriculture
- agriculture_a
- agriculture_b
- agriculture_c
- agriculture_d
- agriculture_e
- agriculture_f
- agriculture_g
- agriculture_h
- anthropo_a
- anthropo_b
- anthropo_c
- assets_1
- assets_1_8
- assets_1_17
- assets_2
- assets_2_1
- assets_2_5
- assets_2_11
- assets_3
- assets_4
- assets_4_7
- assets_4_13
- assets_5
- assets_6
- assets_6_6
- assets_6_12
- assets_7
- consump
- consump_item
- education
- educexp
- educexp_2
- health_abd
- health_c
- health_c_I
- health_c_II
- health_c_III
- health_c_IV
- hhattrition
- hhroster_3
- hhroster_4a
- hhroster_4b
- housing
- housing_2
- identification
- income
- iroster
- kb
- kb_4
- marriage
- marriage_a
- marriage_b
- mortality
- mortality_a
- mortality_b
- mortality_c
- mortality_d
- shocks_a
- shocks_a_3
- shocks_a_7
- shocks_a_11
- shocks_a_15
- shocks_a_19
- shocks_a_24
- shocks_b
- shocks_b_30
- shocks_b_33
- shocks_b_40
- shocks_c
- shocks_c_45
- shocks_c_49
- shocks_c_53
- timealloc
- timerisk
- transfers
- transfers_a_2
- transfers_a_10
- transfers_b
- transfers_d_2
- transfers_d_8
- transfers_d_15
- transfers_d_21
- youth
What did do for this work (inb02)
Data file: income
Overview
Valid:
2191
Invalid:
2187
Minimum:
1
Maximum:
99
Mean:
22.776
Standard deviation:
26.388
Type:
Continuous
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?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Crop farmer | 9 |
0.5%
|
| 2 | Animal farmer | 9 |
0.5%
|
| 3 | Housewife | 0 |
0%
|
| 4 | Trader/merchant/salesperson | 9 |
0.5%
|
| 5 | Transport worker | 209 |
11.3%
|
| 6 | Construction worker | 115 |
6.2%
|
| 7 | Teacher/education professional | 349 |
18.8%
|
| 8 | Health professional/TBA/trad. Healer | 45 |
2.4%
|
| 9 | Secretary/clerical | 104 |
5.6%
|
| 10 | Factory worker | 29 |
1.6%
|
| 11 | Restaurant/bar/hotel | 108 |
5.8%
|
| 12 | Skilled trades (carpenter, tailor, etc.) | 54 |
2.9%
|
| 13 | Preacher/pastor | 37 |
2%
|
| 14 | Village elder | 1 |
0.1%
|
| 15 | Domestic worker | 150 |
8.1%
|
| 16 | Civil Servant/Government | 200 |
10.8%
|
| 17 | Other (specify) | 387 |
20.9%
|
| 41 | Operating Kiosk/Duka | 17 |
0.9%
|
| 42 | Trading (buying & selling) vegetables | 0 |
0%
|
| 43 | Trading chickens, eggs, etc. | 0 |
0%
|
| 44 | Trading clothes (mtumba) | 0 |
0%
|
| 45 | Trading milk | 15 |
0.8%
|
| 46 | Making local brew / beer | 0 |
0%
|
| 47 | Boda-boda operator | 0 |
0%
|
| 88 | No activity/unemployed | 0 |
0%
|
| 99 | Don’t Know | 8 |
0.4%
|
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.
Question post text
If more than one job of this type, choose the one that they spent the most time on in the past 6 months.
Description
Universe
All hosuehold members who worked as an employee in the past 7 days.
Source of information
The primary male respondent.