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    Home / Central Data Catalog / KEN_2004_GEHDS_V01_M_V01_A_RUF / variable [F43]
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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
Producer(s)
Markus Goldstein and Harsha Thirumurthy
Metadata
DDI/XML JSON
Created on
Oct 13, 2011
Last modified
Mar 29, 2019
Page views
108097
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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 type of business - Code (seb02b)

Data file: income

Overview

Valid: 352
Invalid: 3455
Type: Discrete
Decimal: 0
Width: 2
Range: -
Format:

Questions and instructions

Literal question
What type of business or self-employment did [NAME] work at in the past 7 days? What kind of trade, industry or business is it connected with? Occupation Code.
Categories
Value Category
1 Crop farmer
2 Animal farmer
3 Housewife
4 Trader/merchant/salesperson
5 Transport worker
6 Construction worker
7 Teacher/education professional
8 Health professional/TBA/trad. Healer
9 Secretary/clerical
10 Factory worker
11 Restaurant/bar/hotel
12 Skilled trades (carpenter, tailor, etc.)
13 Preacher/pastor
14 Village elder
15 Domestic worker
16 Civil Servant/Government
17 Other (specify)
88 No activity/unemployed
99 Don’t Know
Sysmiss
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.
Interviewer instructions
As discussed earlier, please write an exact description of the respondent's job. Then select the occupation code that is closest to that job. Do not copy the name of the code in the description column.
Question post text
If more than 1, begin with the one in which the most time is spent.

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.
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