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
41483
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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
Main job 5 years ago (ind0a)
Data file: income
Overview
Valid:
4378
Invalid:
0
Minimum:
1
Maximum:
99
Mean:
41.831
Standard deviation:
37.519
Type:
Continuous
Decimal:
0
Width:
2
Range:
1 - 99
Format:
Numeric
Questions and instructions
Literal question
What did [NAME] do in his/her main job or activity five years ago? What did [NAME] do in this work?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Crop farmer | 783 |
18.6%
|
| 2 | Animal farmer | 163 |
3.9%
|
| 3 | Housewife | 499 |
11.9%
|
| 4 | Trader/merchant/salesperson | 40 |
1%
|
| 5 | Transport worker | 66 |
1.6%
|
| 6 | Construction worker | 18 |
0.4%
|
| 7 | Teacher/education professional | 118 |
2.8%
|
| 8 | Health professional/TBA/trad. Healer | 3 |
0.1%
|
| 9 | Secretary/clerical | 27 |
0.6%
|
| 10 | Factory worker | 19 |
0.5%
|
| 11 | Restaurant/bar/hotel | 39 |
0.9%
|
| 12 | Skilled trades (carpenter, tailor, etc.) | 61 |
1.5%
|
| 13 | Preacher/pastor | 6 |
0.1%
|
| 14 | Village elder | 2 |
0%
|
| 15 | Domestic worker | 54 |
1.3%
|
| 16 | Civil Servant/Government | 81 |
1.9%
|
| 17 | Other (specify) | 171 |
4.1%
|
| 41 | Operating Kiosk/Duka | 67 |
1.6%
|
| 42 | Trading (buying & selling) vegetables | 80 |
1.9%
|
| 43 | Trading chickens, eggs, etc. | 7 |
0.2%
|
| 44 | Trading clothes (mtumba) | 23 |
0.5%
|
| 45 | Trading milk | 25 |
0.6%
|
| 46 | Making local brew / beer | 58 |
1.4%
|
| 47 | Boda-boda operator | 5 |
0.1%
|
| 81 | Student | 1604 |
38.2%
|
| 88 | No activity/unemployed | 147 |
3.5%
|
| 99 | Don’t Know | 38 |
0.9%
|
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 answer is 81 > Go to next person.
Description
Universe
All individuals in the household that are 18 years or older.
Source of information
The primary male respondent.