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 [F58]
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 1178543 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

How related to you (irid06_new)

Data file: iroster

Overview

Valid: 2193
Invalid: 0
Type: Discrete
Decimal: 0
Width: 4
Range: 1 - 1201
Format: Numeric

Questions and instructions

Literal question
How is this person related to you?
Categories
Value Category Cases
1 Self 0
0%
2 Spouse 12
0.5%
3 Son 4
0.2%
4 Daughter 1
0%
5 Father 54
2.5%
6 Mother 113
5.2%
7 Grandson 10
0.5%
8 Granddaughter 10
0.5%
9 Grandfather 2
0.1%
10 Grandmother 2
0.1%
11 Brother 192
8.8%
12 Sister 155
7.1%
13 Uncle 51
2.3%
14 Aunt 47
2.1%
15 Co-wife 23
1%
16 Cousin 90
4.1%
17 Niece 29
1.3%
18 Nephew 35
1.6%
19 Stepchild 3
0.1%
20 Foster child 0
0%
30 Local Friend/Neighbor 835
38.1%
31 Non-resident Friend 43
2%
32 Village head 9
0.4%
33 Lineage head 4
0.2%
34 Househelper 2
0.1%
35 Employee 4
0.2%
36 Employer 5
0.2%
37 Landlord 0
0%
38 Tenant/Renter 0
0%
39 Priest 7
0.3%
40 Trader 1
0%
41 Other (specify) 166
7.6%
45 1
0%
98 2
0.1%
99 Don’t Know 1
0%
301 Son-in-law 7
0.3%
401 Daughter-in-law 25
1.1%
501 Father-in-law 12
0.5%
601 Mother-in-law 55
2.5%
901 Grandfather-in-law 1
0%
1001 Grandmother-in-law 1
0%
1101 Brother-in-law 95
4.3%
1201 Sister-in-law 84
3.8%
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
Ask how the person is related to the respondent (not to some other household member). Use the relationship codes.

Imputation and derivation

Derivation
This variable is obtained by destringing irid06. For in-laws, "A" is recoded as "01"-- e.g. son in-law is 301, where it is 3A in irid06.
Kenya National Data Archive (KeNADA)

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