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    Home / Central Data Catalog / IMPACT_EVALUATION / KEN_2004_GEHDS_V01_M_V01_A_RUF / variable [F43]
impact_evaluation

Greater Eldoret Health and Development Survey (Round 1) 2004 - Research Use Files

Kenya, 2004
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Reference ID
KEN_2004_GEHDS_v01_M_v01_A_RUF
DOI
https://doi.org/10.48529/6x0c-5y08
Producer(s)
Markus Goldstein and Harsha Thirumurthy
Collection(s)
Impact Evaluation Surveys
Metadata
DDI/XML JSON
Created on
Jul 22, 2011
Last modified
Jul 07, 2016
Page views
451684
Downloads
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  • Study Description
  • Data Description
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  • 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 was secondary job in past 12 months (sj02b)

Data file: income

Overview

Valid: 3763
Invalid: 44
Type: Discrete
Decimal: 0
Width: 2
Range: 1 - 99
Format: Numeric

Questions and instructions

Literal question
What was [NAME’s] secondary job in the past 12 months, that is, the job or which he/she spent the most time at after his/her main job? What kind of trade, industry or business is this connected with? Occupation code.
Categories
Value Category Cases
1 Crop farmer 1871
49.7%
2 Animal farmer 982
26.1%
3 Housewife 258
6.9%
4 Trader/merchant/salesperson 124
3.3%
5 Transport worker 12
0.3%
6 Construction worker 10
0.3%
7 Teacher/education professional 1
0%
8 Health professional/TBA/trad. healer 0
0%
9 Secretary/clerical 2
0.1%
10 Factory worker 0
0%
11 Restaurant/bar/hotel 10
0.3%
12 Skilled trades (carpenter, tailor, etc.) 17
0.5%
13 Preacher/pastor 0
0%
14 Village elder 2
0.1%
15 Domestic worker 10
0.3%
16 Civil Servant/Government 0
0%
17 Other (specify) 93
2.5%
88 Student 369
9.8%
98 2
0.1%
99 Don’t Know 0
0%
Sysmiss 44
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 88 > Go to next person.

Description

Universe
All household members 8 years and older.
Source of information
Primary male respondent
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