- 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
- assets
- 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
Had any illness during past 4 weeks (h01)
Data file: health
Overview
Valid:
6457
Invalid:
0
Type:
Discrete
Decimal:
0
Width:
1
Range:
1 - 9
Format:
Numeric
Questions and instructions
Literal question
During the past 4 weeks has [NAME] had any illness or injury, for example, have you had a cough, cold, diarrhea, an injury due to an accident or any other illness?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Yes, illness | 1436 |
22.2%
|
| 2 | Yes, injury | 66 |
1%
|
| 3 | Yes, illness and injury | 1 |
0%
|
| 4 | No | 4829 |
74.8%
|
| 8 | 1 |
0%
|
|
| 9 | 124 |
1.9%
|
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.
Question post text
If answer is 4 > Go to section B (dataset health_b).
Description
Universe
All household members.
Source of information
Primary female respondent