Login
Login
Kenya National Data Archive (KeNADA)
An Online Microdata Catalog
  • Home
  • Microdata Catalog
  • Citations
    Home / Central Data Catalog / KEN_2004_GEHDS_V01_M / variable [F90]
central

Greater Eldoret Health and Development Survey (Round 1) 2004

Kenya, 2004
Markus Goldstein and Harsha Thirumurthy
Created on June 01, 2022 Last modified June 01, 2022 Page views 1178011 Metadata DDI/XML JSON
  • Study description
  • Data Description
  • 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
  • food
  • health_c
  • health_c_I
  • health_c_II
  • health_c_III
  • health_c_IV
  • identification
  • 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
  • youth
  • hh_roster
  • education
  • educexp
  • health
  • income
  • transfers_d
  • enterprise
CSV JSON

Relationship to household head (qh04_new)

Data file: hh_roster

Overview

Valid: 7416
Invalid: 2295
Type: Discrete
Decimal: 0
Width: 4
Range: 1 - 1201
Format: Numeric

Questions and instructions

Literal question
Relationship of [NAME] to Head
Categories
Value Category Cases
1 Self 1219
16.4%
2 Spouse 961
13%
3 Son 2136
28.8%
4 Daughter 1920
25.9%
5 Father 6
0.1%
6 Mother 40
0.5%
7 Grandson 360
4.9%
8 Granddaughter 282
3.8%
9 Grandfather 0
0%
10 Grandmother 3
0%
11 Brother 33
0.4%
12 Sister 24
0.3%
13 Uncle 4
0.1%
14 Aunt 3
0%
15 Co-wife 0
0%
16 Cousin 24
0.3%
17 Niece 80
1.1%
18 Nephew 84
1.1%
19 Stepchild 52
0.7%
20 Foster child 22
0.3%
30 Local Friend/Neighbor 8
0.1%
31 Non-resident Friend 0
0%
32 Village head 0
0%
33 Lineage head 0
0%
34 Househelper 24
0.3%
35 Employee 34
0.5%
36 Employer 1
0%
37 Landlord 0
0%
38 Tenant/Renter 0
0%
39 Priest 0
0%
40 Trader 0
0%
41 Other (specify) 19
0.3%
98 2
0%
99 Don’t Know 0
0%
301 Son-in-law 0
0%
401 Daughter-in-law 21
0.3%
501 Father-in-law 0
0%
601 Mother-in-law 3
0%
901 Grandfather-in-law 0
0%
1001 Grandmother-in-law 1
0%
1101 Brother-in-law 8
0.1%
1201 Sister-in-law 42
0.6%
Sysmiss 2295
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.
var_qstn_ivuinstr
Write the relationship of each person to the head of household using the codes given at the bottom of the questionnaire. For in-laws, write the letter “A” in capital letters after the code number. Thus, while son will have the code 3, son in-law will have the code 3A.

Imputation and derivation

Derivation
This variable is obtained by destringing qh04. For in-laws, "A" is recoded as "01"-- e.g. son in-law is 301, where it is 3A in qh04.
Kenya National Data Archive (KeNADA)

© Kenya National Data Archive (KeNADA), All Rights Reserved.