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
454710
Downloads
3457
- 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
3. Year of birth (y03y)
Data file: youth
Overview
Valid:
367
Invalid:
0
Type:
Discrete
Decimal:
0
Width:
4
Range:
99 - 1988
Format:
Numeric
Questions and instructions
Literal question
In what month and year were you born? Year.
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 99 | Don’t Know | 0 |
0%
|
| 1962 | 2 |
0.5%
|
|
| 1964 | 4 |
1.1%
|
|
| 1966 | 1 |
0.3%
|
|
| 1968 | 6 |
1.6%
|
|
| 1969 | 3 |
0.8%
|
|
| 1970 | 5 |
1.4%
|
|
| 1971 | 5 |
1.4%
|
|
| 1972 | 6 |
1.6%
|
|
| 1973 | 8 |
2.2%
|
|
| 1974 | 7 |
1.9%
|
|
| 1975 | 10 |
2.7%
|
|
| 1976 | 13 |
3.5%
|
|
| 1977 | 8 |
2.2%
|
|
| 1978 | 18 |
4.9%
|
|
| 1979 | 9 |
2.5%
|
|
| 1980 | 21 |
5.7%
|
|
| 1981 | 13 |
3.5%
|
|
| 1982 | 29 |
7.9%
|
|
| 1983 | 30 |
8.2%
|
|
| 1984 | 34 |
9.3%
|
|
| 1985 | 28 |
7.6%
|
|
| 1986 | 35 |
9.5%
|
|
| 1987 | 56 |
15.3%
|
|
| 1988 | 16 |
4.4%
|
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.