- 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
Sex (qh03)
Data file: hh_roster
Overview
Valid:
7416
Invalid:
2295
Type:
Discrete
Decimal:
0
Width:
1
Range:
1 - 2
Format:
Numeric
Questions and instructions
Literal question
Sex of [NAME]
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Male | 3717 |
50.1%
|
| 2 | Female | 3699 |
49.9%
|
| Sysmiss | 2295 |
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
Write the sex of each person using the codes given (1 for Male, 2 for Female).