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
Metadata
Created on
Oct 14, 2020
Last modified
Nov 08, 2022
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- 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
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.
Interviewer instructions
Ask how the person is related to the respondent (not to some other household member). Use the relationship codes.
Imputation and derivation
Coder instructions
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.