Greater Eldoret Health and Development Survey (Round 1) 2004 - Research Use Files
Kenya, 2004
Get Microdata
Reference ID
KEN_2004_GEHDS_v01_M_v01_A_RUF
Producer(s)
Markus Goldstein and Harsha Thirumurthy
Collection(s)
Created on
Jul 22, 2011
Last modified
Jul 07, 2016
Page views
451555
Downloads
3449
- 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
Where this person lives (irid10)
Data file: iroster
Overview
Valid:
2193
Invalid:
0
Type:
Discrete
Decimal:
0
Width:
2
Range:
1 - 99
Format:
Numeric
Questions and instructions
Literal question
Where does this person live?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | This village | 1214 |
55.4%
|
| 2 | This location | 226 |
10.3%
|
| 3 | Kosirai Division | 165 |
7.5%
|
| 4 | Nandi District (inc. Kapsabet) | 219 |
10%
|
| 5 | Uasin-Gishu District (exc. Eldoret) | 144 |
6.6%
|
| 6 | Eldoret | 63 |
2.9%
|
| 7 | Kakamega | 12 |
0.5%
|
| 8 | Kitale | 35 |
1.6%
|
| 9 | Kisumu | 14 |
0.6%
|
| 10 | Nakuru | 10 |
0.5%
|
| 11 | Nairobi | 35 |
1.6%
|
| 12 | Other urban area | 23 |
1%
|
| 13 | Other rural area | 21 |
1%
|
| 14 | Outside Kenya | 7 |
0.3%
|
| 23 | 1 |
0%
|
|
| 98 | 1 |
0%
|
|
| 99 | 3 |
0.1%
|
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 the respondent where the person lives, and write the residence code that best matches the answer. If the person is a neighbor, use the code for “same village”.