Schooling, Income, and Health Risk Impact Evaluation Household Survey 2010, Round 3 (Midline)
Malawi, 2010
Berk Ozler, Sarah Baird, Craig McIntosh, Ephraim Chirwa
Created on
September 16, 2015
Last modified
September 16, 2015
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- 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
Width:
3
Range:
10 - 999
Format:
Numeric
Questions and instructions
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 |
2.9%
|
| 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 |
7.2%
|
| 34 | Farm ganyu | 4 |
2.9%
|
| 38 | Housekeeper/housegirl | 0 |
0%
|
| 39 | Non-farm ganyu (day labor) | 1 |
0.7%
|
| 40 | Marketing / sales | 11 |
7.9%
|
| 41 | Handicraft | 0 |
0%
|
| 42 | Alcohol production | 0 |
0%
|
| 43 | Transporting goods | 2 |
1.4%
|
| 44 | Metal work | 5 |
3.6%
|
| 45 | Basket weaving | 0 |
0%
|
| 46 | Carpentry | 1 |
0.7%
|
| 47 | Charcoal preparation | 0 |
0%
|
| 48 | Water collection for sale | 0 |
0%
|
| 49 | Other cash activity | 38 |
27.3%
|
| 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 |
43.2%
|
| 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 |
2.2%
|
| 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.
var_qstn_ivuinstr
Respondent is unmarried but has PTM/chitomelo
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.