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
40911
Downloads
118
- 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 (mortc9)
Data file: mortality_c
Overview
Valid:
103
Invalid:
3
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 | 40 |
38.8%
|
| 2 | Animal farmer | 2 |
1.9%
|
| 3 | Housewife | 8 |
7.8%
|
| 4 | Trader/merchant/salesperson | 1 |
1%
|
| 5 | Transport worker | 7 |
6.8%
|
| 6 | Construction worker | 0 |
0%
|
| 7 | Teacher/education professional | 3 |
2.9%
|
| 8 | Health professional/TBA/trad. Healer | 1 |
1%
|
| 9 | Secretary/clerical | 0 |
0%
|
| 10 | Factory worker | 0 |
0%
|
| 11 | Restaurant/bar/hotel | 1 |
1%
|
| 12 | Skilled trades (carpenter, tailor, etc.) | 4 |
3.9%
|
| 13 | Preacher/pastor | 0 |
0%
|
| 14 | Village elder | 0 |
0%
|
| 15 | Domestic worker | 0 |
0%
|
| 16 | Civil Servant/Government | 6 |
5.8%
|
| 17 | Other (specify) | 6 |
5.8%
|
| 41 | Operating Kiosk/Duka | 0 |
0%
|
| 42 | Trading (buying & selling) vegetables | 7 |
6.8%
|
| 43 | Trading chickens, eggs, etc. | 0 |
0%
|
| 44 | Trading clothes (mtumba) | 1 |
1%
|
| 45 | Trading milk | 2 |
1.9%
|
| 46 | Making local brew / beer | 0 |
0%
|
| 47 | Boda-boda operator | 0 |
0%
|
| 82 | 5 |
4.9%
|
|
| 88 | No activity/unemployed | 3 |
2.9%
|
| 98 | 1 |
1%
|
|
| 99 | Don’t Know | 5 |
4.9%
|
| Sysmiss | 3 |
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 orphans in household - unless the parent of the orphan died less than 5 years ago and was a household memeber when he/she died.
Source of information
The household head during the time of the interview.