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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / KEN_2005_GEHDS-W2_V01_EN_M_V01_A_OCS / variable [F40]
agricultural-surveys

Greater Eldoret Health and Development Survey, Wave 2, 2005

Kenya, 2005
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Reference ID
KEN_2005_GEHDS-W2_v01_EN_M_v01_A_OCS
Producer(s)
Markus Goldstein and Harsha Thirumurthy
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Oct 14, 2020
Last modified
Nov 08, 2022
Page views
71452
Downloads
96
  • Study Description
  • Data Dictionary
  • Downloads
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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: 1 - 17
Format: Numeric

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 Cases
1 Crop farmer 17
2%
2 Animal farmer 4
0.5%
3 Housewife 0
0%
4 Trader/merchant/salesperson 17
2%
5 Transport worker 57
6.8%
6 Construction worker 26
3.1%
7 Teacher/education professional 73
8.7%
8 Health professional/TBA/trad. Healer 5
0.6%
9 Secretary/clerical 28
3.3%
10 Factory worker 14
1.7%
11 Restaurant/bar/hotel 26
3.1%
12 Skilled trades (carpenter, tailor, etc.) 31
3.7%
13 Preacher/pastor 6
0.7%
14 Village elder 0
0%
15 Domestic worker 41
4.9%
16 Civil Servant/Government 73
8.7%
17 Other (specify) 420
50.1%
88 No activity/unemployed 0
0%
99 Don’t Know 0
0%
Sysmiss 4412
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.

Description

Source of information
The primary male respondent.
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