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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
405101
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  • Study 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 did in main job in past 12 months - Code (mj02b)

Data file: income

Overview

Valid: 3795
Invalid: 12
Type: Discrete
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 in the past 12 months? What did [NAME] do in this work? What kind of occupation or trade is it connected with? Occupation code.
Categories
Value Category Cases
1 Crop farmer 808
21.3%
2 Animal farmer 151
4%
3 Housewife 454
12%
4 Trader/merchant/salesperson 198
5.2%
5 Transport worker 44
1.2%
6 Construction worker 25
0.7%
7 Teacher/education professional 70
1.8%
8 Health professional/TBA/trad. healer 5
0.1%
9 Secretary/clerical 16
0.4%
10 Factory worker 10
0.3%
11 Restaurant/bar/hotel 16
0.4%
12 Skilled trades (carpenter, tailor, etc.) 40
1.1%
13 Preacher/pastor 5
0.1%
14 Village elder 1
0%
15 Domestic worker 35
0.9%
16 Civil Servant/Government 58
1.5%
17 Other (specify) 157
4.1%
88 Student 1700
44.8%
98 2
0.1%
99 Don’t Know 0
0%
Sysmiss 12
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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