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    Home / Central Data Catalog / KEN-WB-GEHDS-2005-V01 / variable [F5]
central

Greater Eldoret Health and Development Survey (Round 2) 2005

Kenya, 2005
Markus Goldstein and Harsha Thirumurthy
Created on June 01, 2022 Last modified June 01, 2022 Page views 395962 Metadata DDI/XML JSON
  • Study description
  • Data Description
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  • Data files
  • hhr_correction
  • hhroster_1
  • hhroster_2
  • identification
  • iroster
  • educexp
  • health_c
  • health_c_I
  • health_c_II
  • health_c_III
  • health_c_IV
  • food
  • othexp
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  • assets_I8
  • assets_I17
  • assets_II5
  • assets_II11
  • assets_IV7
  • assets_IV13
  • assets_V
  • assets_VI5
  • assets_VI12
  • ag_a
  • ag_b
  • ag_c
  • ag_d
  • 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
  • transfers
  • transfers_a2
  • transfers_a10
  • transfers_b2
  • transfers_d2
  • transfers_d7
  • transfers_d14
  • transfers_d19
  • behavior
  • behavior_c4
  • anthrop_a
  • anthrop_b
  • anthrop_c
  • marriage
  • marriage_b
  • marriage_c
  • famback
  • famback_II
  • famback_III
  • famback_IV
  • famback_V
  • mortality
  • mortality_b
  • housing
  • housing_2
  • timerisk
  • networks
  • networks_a
  • networks_b
  • networks_c
  • networks_c9
  • networks_c10
  • networks_d
  • networks_e
  • youth
  • education
  • health
  • income
CSV JSON

How related to you (recoded) (irid06_new)

Data file: iroster

Overview

Valid: 9049
Invalid: 1
Minimum: 1
Maximum: 1701
Mean: 125.944
Standard deviation: 309.878
Type: Continuous
Decimal: 0
Width: 4
Range: 1 - 1701
Format: Numeric

Questions and instructions

Literal question
How is this person related to you?
Categories
Value Category Cases
1 Self 1
0%
2 Spouse 197
2.2%
3 Son 5
0.1%
4 Daughter 2
0%
5 Father 479
5.3%
6 Mother 404
4.5%
7 Grandson 16
0.2%
8 Granddaughter 26
0.3%
9 Grandfather 4
0%
10 Grandmother 17
0.2%
11 Brother 465
5.1%
12 Sister 396
4.4%
13 Uncle 105
1.2%
14 Aunt 103
1.1%
15 Co-wife 22
0.2%
16 Cousin 479
5.3%
17 Niece 86
1%
18 Nephew 106
1.2%
19 Stepchild 8
0.1%
20 Foster child 1
0%
30 Local Friend/Neighbor 4375
48.4%
31 Non-resident Friend 281
3.1%
32 Village head 6
0.1%
33 Lineage head 0
0%
34 Househelper 0
0%
35 Employee 4
0%
36 Employer 5
0.1%
37 Landlord 0
0%
38 Tenant/Renter 3
0%
39 Priest 18
0.2%
40 Trader 4
0%
41 Other (specify) 428
4.7%
99 Don’t Know 3
0%
301 Son-in-law 27
0.3%
401 Daughter-in-law 92
1%
501 Father-in-law 58
0.6%
601 Mother-in-law 152
1.7%
901 Grandfather-in-law 0
0%
1001 Grandmother-in-law 3
0%
1101 Brother-in-law 214
2.4%
1201 Sister-in-law 450
5%
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.

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.
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