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    Home / Central Data Catalog / KEN_2005_GEHDS_V01_M_V01_A_RUF / variable [F40]
central

Greater Eldoret Health and Development Survey (Round 2) 2005 - Research Use Files

Kenya, 2005
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Reference ID
KEN_2005_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
76015
Downloads
425
  • Study Description
  • Data Dictionary
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  • Data files
  • ag_a
  • ag_b
  • ag_c
  • ag_d
  • anthrop_a
  • anthrop_b
  • anthrop_c
  • assets
  • assets_I8
  • assets_I17
  • assets_II5
  • assets_II11
  • assets_IV7
  • assets_IV13
  • assets_V
  • assets_VI5
  • assets_VI12
  • behavior
  • behavior_c4
  • education
  • educexp
  • famback
  • famback_II
  • famback_III
  • famback_IV
  • famback_V
  • food
  • health
  • health_c
  • health_c_I
  • health_c_II
  • health_c_III
  • health_c_IV
  • hhr_correction
  • hhroster_1
  • hhroster_2
  • housing
  • housing_2
  • identification
  • income
  • iroster
  • marriage
  • marriage_b
  • marriage_c
  • mortality
  • mortality_b
  • networks
  • networks_a
  • networks_b
  • networks_c
  • networks_c9
  • networks_c10
  • networks_d
  • networks_e
  • othexp
  • shocks
  • shocks_a3
  • shocks_a7
  • shocks_a11
  • shocks_a15
  • shocks_a19
  • shocks_a24
  • shocks_b30
  • shocks_b33
  • shocks_b40
  • shocks_c45
  • shocks_c49
  • shocks_c53
  • timerisk
  • transfers
  • transfers_a2
  • transfers_a10
  • transfers_b2
  • transfers_d2
  • transfers_d7
  • transfers_d14
  • transfers_d19
  • youth

What did do for this work (inb02)

Data file: income

Overview

Valid: 838
Invalid: 4412
Type: Discrete
Decimal: 0
Width: 2
Range: -
Format:

Questions and instructions

Literal question
What did [NAME] do in this work? What kind of trade, industry or business is it connected with?
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.
Question post text
If more than one job of this type, choose the one that they spent the most time on in the past 6 months.
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