Schooling, Income, and Health Risk Impact Evaluation Household Survey 2010, Round 3 (Midline)
Malawi, 2010
Get Microdata
Reference ID
MWI_2010_SIHRIE-R3_v01_M
Producer(s)
Berk Ozler, Sarah Baird, Craig McIntosh, Ephraim Chirwa
Metadata
Created on
Sep 16, 2015
Last modified
Sep 16, 2015
Page views
49861
Downloads
2043
- Data files
- baseline_controls_public
- SIHR3_PI_S1_public
- SIHR3_PI_S2_public
- SIHR3_PI_S3_public
- SIHR3_PI_S4_public
- SIHR3_PI_S5_public
- SIHR3_PI_S6a_public
- SIHR3_PI_S6b_public
- SIHR3_PI_S6c_public
- SIHR3_PI_S7_public
- SIHR3_PI_S8_public
- SIHR3_PII_S9A_public
- SIHR3_PII_S9B_public
- SIHR3_PII_S10A_public
- SIHR3_PII_S10B_public
- SIHR3_PII_S11A_public
- SIHR3_PII_S11B_public
- SIHR3_PII_S12_public
- SIHR3_PII_S13A_public
- SIHR3_PII_S13B_public
- SIHR3_PII_S14_public
- SIHR3_PII_S15A_public
- SIHR3_PII_S15B_public
- SIHR3_PII_S16_public
- SIHR3_PII_S17A_public
- SIHR3_PII_S17B_public
- SIHR3_PII_S18_public
- SIHR3_PII_S19_public
- SIHR3_PII_S20A_public
- SIHR3_PII_S20B_public
- SIHR3_PII_S20C_public
- SIHR3_PII_S21_public
- SIHR_identifiers
What would you say your PTM/Chitomelo does for work? (s14q43)
Data file: SIHR3_PII_S14_public
Overview
Valid:
139
Invalid:
3448
Type:
Discrete
Decimal:
0
Start:
156
End:
158
Width:
3
Range:
10 - 999
Format:
Numeric
Questions and instructions
Question pretext
READ: As you know, many Malawians, as they get older, decide to get married and have children. So next, I would like to ask you some questions about marriage.
Literal question
What would you say the MAIN thing your PTM/chitomelo does for work?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 10 | Own field/agricultural work | 4 |
0.1%
|
| 30 | Agricultural wage labor (in cash) | 0 |
0%
|
| 31 | Agricultural wage labor (in kind) | 0 |
0%
|
| 32 | Group field labor | 0 |
0%
|
| 33 | Salaried employment | 10 |
0.3%
|
| 34 | Farm ganyu | 4 |
0.1%
|
| 38 | Housekeeper/housegirl | 0 |
0%
|
| 39 | Non-farm ganyu (day labor) | 1 |
0%
|
| 40 | Marketing / sales | 11 |
0.3%
|
| 41 | Handicraft | 0 |
0%
|
| 42 | Alcohol production | 0 |
0%
|
| 43 | Transporting goods | 2 |
0.1%
|
| 44 | Metal work | 5 |
0.1%
|
| 45 | Basket weaving | 0 |
0%
|
| 46 | Carpentry | 1 |
0%
|
| 47 | Charcoal preparation | 0 |
0%
|
| 48 | Water collection for sale | 0 |
0%
|
| 49 | Other cash activity | 38 |
1.1%
|
| 50 | Making food/cooking | 0 |
0%
|
| 51 | Fetching water | 0 |
0%
|
| 52 | Fetching firewood | 0 |
0%
|
| 53 | Child care | 0 |
0%
|
| 54 | Washing clothes | 0 |
0%
|
| 55 | Repairing/building house/farm | 0 |
0%
|
| 56 | Cleaning house | 0 |
0%
|
| 57 | Caring for an ill hh/family member | 0 |
0%
|
| 85 | Religious activities | 0 |
0%
|
| 86 | Attending a funeral | 0 |
0%
|
| 87 | Village help/community work | 0 |
0%
|
| 88 | School | 60 |
1.7%
|
| 89 | School work outside of school | 0 |
0%
|
| 90 | Transportation to school/work | 0 |
0%
|
| 91 | Preparation for the work | 0 |
0%
|
| 92 | Political meeting | 0 |
0%
|
| 93 | Resting/leisure | 3 |
0.1%
|
| 94 | Sleeping | 0 |
0%
|
| 95 | Media/entertainment | 0 |
0%
|
| 96 | Attending meetings | 0 |
0%
|
| 97 | Visiting friends | 0 |
0%
|
| 98 | Time with boyfriend/husband | 0 |
0%
|
| 99 | Eating | 0 |
0%
|
| 888 | Don't know | 0 |
0%
|
| 999 | Missing | 0 |
0%
|
| Sysmiss | 3448 |
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
Respondent is unmarried but has PTM/chitomelo