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
41664
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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 kind of work (mortd7)
Data file: mortality_d
Overview
Valid:
391
Invalid:
2
Type:
Discrete
Decimal:
0
Width:
2
Range:
1 - 99
Format:
Numeric
Questions and instructions
Literal question
What kind of work did [NAME's] parent do for most of his/her life?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Crop farmer | 140 |
35.8%
|
| 2 | Animal farmer | 28 |
7.2%
|
| 3 | Housewife | 38 |
9.7%
|
| 4 | Trader/merchant/salesperson | 8 |
2%
|
| 5 | Transport worker | 6 |
1.5%
|
| 6 | Construction worker | 2 |
0.5%
|
| 7 | Teacher/education professional | 13 |
3.3%
|
| 8 | Health professional/TBA/trad. Healer | 3 |
0.8%
|
| 9 | Secretary/clerical | 1 |
0.3%
|
| 10 | Factory worker | 0 |
0%
|
| 11 | Restaurant/bar/hotel | 5 |
1.3%
|
| 12 | Skilled trades (carpenter, tailor, etc.) | 20 |
5.1%
|
| 13 | Preacher/pastor | 0 |
0%
|
| 14 | Village elder | 0 |
0%
|
| 15 | Domestic worker | 4 |
1%
|
| 16 | Civil Servant/Government | 14 |
3.6%
|
| 17 | Other (specify) | 5 |
1.3%
|
| 41 | Operating Kiosk/Duka | 7 |
1.8%
|
| 42 | Trading (buying & selling) vegetables | 9 |
2.3%
|
| 43 | Trading chickens, eggs, etc. | 0 |
0%
|
| 44 | Trading clothes (mtumba) | 2 |
0.5%
|
| 45 | Trading milk | 2 |
0.5%
|
| 46 | Making local brew / beer | 1 |
0.3%
|
| 47 | Boda-boda operator | 0 |
0%
|
| 81 | 3 |
0.8%
|
|
| 82 | 17 |
4.3%
|
|
| 88 | No activity/unemployed | 14 |
3.6%
|
| 98 | 5 |
1.3%
|
|
| 99 | Don’t Know | 44 |
11.3%
|
| Sysmiss | 2 |
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
Universe
All foster children in household (children defined as individuals below 16 at time of round 1 interview).
Source of information
The household head during the time of the interview.