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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
451078
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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 kind of trade, industry, occupation is it connected with (seb09)

Data file: income

Overview

Valid: 23
Invalid: 3784
Type: Discrete
Decimal: 0
Width: 2
Range: 1 - 99
Format: Numeric

Questions and instructions

Literal question
What kind of trade, industry or occupation is it connected with?
Categories
Value Category Cases
1 Crop farmer 0
0%
2 Animal farmer 0
0%
3 Housewife 0
0%
4 Trader/merchant/salesperson 15
65.2%
5 Transport worker 0
0%
6 Construction worker 1
4.3%
7 Teacher/education professional 0
0%
8 Health professional/TBA/trad. Healer 0
0%
9 Secretary/clerical 0
0%
10 Factory worker 0
0%
11 Restaurant/bar/hotel 2
8.7%
12 Skilled trades (carpenter, tailor, etc.) 0
0%
13 Preacher/pastor 0
0%
14 Village elder 0
0%
15 Domestic worker 0
0%
16 Civil Servant/Government 0
0%
17 Other (specify) 5
21.7%
88 No activity/unemployed 0
0%
99 Don’t Know 0
0%
Sysmiss 3784
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 household members 8 years and older who did non-farm work in a business belonging to the household in the past 7 days.
Source of information
Primary male respondent
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