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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / KEN_2004_GEHDS-W1_V01_EN_M_V01_A_OCS / variable [V1264]
agricultural-surveys

Greater Eldoret Health and Development Survey, Wave 1, 2004

Kenya, 2004
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Reference ID
KEN_2004_GEHDS-W1_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
199609
Downloads
854
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • 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

Item code (item)

Data file: othexp

Overview

Valid: 11877
Invalid: 0
Type: Discrete
Decimal: 0
Width: 2
Range: 1 - 31
Format: Numeric

Questions and instructions

Question pretext
I would like to ask you about non-food items you (and only you) may have purchased for you or anyone in your household in the past four weeks. Don't include items that were purchased for school.
Literal question
Item name
Categories
Value Category Cases
1 Adult clothing 923
7.8%
2 Clothing for children under 12 (exclude school clothing) 796
6.7%
3 Fabric or Cloth & Tailored clothes 122
1%
4 Other clothing 162
1.4%
5 Footwear (not for school) 786
6.6%
6 Jewelry, watches, bracelets 40
0.3%
7 Toys 71
0.6%
8 Haircuts, hair dressing 727
6.1%
9 Umbrellas, handbags, wallets 129
1.1%
10 Food outside the home (at restaurants, bars, bought on street) 568
4.8%
11 Beverages outside home 355
3%
12 Tobacco, cigarettes 115
1%
13 Toilet soap, washing 1154
9.7%
14 powder, toothpaste, etc. 855
7.2%
15 Transportation 201
1.7%
16 Bedding 188
1.6%
17 Newspapers, books (not for school) 247
2.1%
18 Kitchen utensils, pots & pans 315
2.7%
19 Charcoal 1137
9.6%
20 Kerosene 34
0.3%
21 Gas 50
0.4%
22 Other fuel (specify) 2
0%
23 Weddings/engagements (excluding gifts) 713
6%
24 Funerals 356
3%
25 Naming ceremonies 22
0.2%
26 Circumcision ceremonies 150
1.3%
27 Other ceremonies (excluding gifts) 46
0.4%
28 Harambee (non-school) 304
2.6%
29 Church contributions 1037
8.7%
30 Vacations/Holidays 242
2%
31 Birthdays 30
0.3%
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

Source of information
Primary male and female respondent

Imputation and derivation

Coder instructions
Item code is created from an item list in the questionnaire.
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