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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / KEN_2005_GEHDS-W2_V01_EN_M_V01_A_OCS / variable [F41]
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
74941
Downloads
101
  • 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

Occupation (irid04)

Data file: iroster

Overview

Valid: 9049
Invalid: 1
Minimum: 1
Maximum: 99
Mean: 7.229
Standard deviation: 16.428
Type: Continuous
Decimal: 0
Width: 2
Range: 1 - 99
Format: Numeric

Questions and instructions

Literal question
What is this person’s occupation?
Categories
Value Category Cases
1 Crop farmer 3951
43.7%
2 Animal farmer 702
7.8%
3 Housewife 868
9.6%
4 Trader/merchant/salesperson 971
10.7%
5 Transport worker 200
2.2%
6 Construction worker 50
0.6%
7 Teacher/education professional 526
5.8%
8 Health professional/TBA/trad. Healer 278
3.1%
9 Secretary/clerical 48
0.5%
10 Factory worker 29
0.3%
11 Restaurant/bar/hotel 64
0.7%
12 Skilled trades (carpenter, tailor, etc.) 146
1.6%
13 Preacher/pastor 62
0.7%
14 Village elder 30
0.3%
15 Domestic worker 27
0.3%
16 Civil Servant/Government 621
6.9%
17 Other (specify) 145
1.6%
88 No activity/unemployed 316
3.5%
99 Don’t Know 5
0.1%
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.
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