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
133204
Downloads
3232
- 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
Approximate monthly value (MK) of the gifts this partner gav (s13q36)
Data file: SIHR3_PII_S13B_public
Overview
Valid:
836
Invalid:
2779
Type:
Discrete
Decimal:
0
Start:
95
End:
100
Width:
6
Range:
30 - 999999
Format:
Numeric
Questions and instructions
Question pretext
READ NOTE 3: Next, we'd like to ask you some questions about sex. We know you may be shy, but we are asking these questions to better understand the health needs of young people like you. We want to remind you that all your answers will be kept strictly confidential and no one in this community will know the answers that you give, not your parents nor anyone else.
Literal question
During the past 12 months, try to estimate the approximate value in Kwacha of the gifts that this partner usually gave you during one month's time. IF SPOUSE OR EX-SPOUSE, ASK: "During the year before you were married, Did . . . ?"
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 30 | 1 |
0.1%
|
|
| 40 | 2 |
0.2%
|
|
| 50 | 3 |
0.4%
|
|
| 60 | 1 |
0.1%
|
|
| 71 | 1 |
0.1%
|
|
| 100 | 13 |
1.6%
|
|
| 120 | 1 |
0.1%
|
|
| 140 | 1 |
0.1%
|
|
| 150 | 19 |
2.3%
|
|
| 160 | 1 |
0.1%
|
|
| 170 | 1 |
0.1%
|
|
| 200 | 43 |
5.1%
|
|
| 250 | 26 |
3.1%
|
|
| 300 | 45 |
5.4%
|
|
| 350 | 8 |
1%
|
|
| 400 | 18 |
2.2%
|
|
| 416 | 1 |
0.1%
|
|
| 450 | 6 |
0.7%
|
|
| 500 | 132 |
15.8%
|
|
| 550 | 3 |
0.4%
|
|
| 600 | 14 |
1.7%
|
|
| 650 | 2 |
0.2%
|
|
| 700 | 24 |
2.9%
|
|
| 750 | 5 |
0.6%
|
|
| 800 | 22 |
2.6%
|
|
| 850 | 1 |
0.1%
|
|
| 900 | 7 |
0.8%
|
|
| 950 | 2 |
0.2%
|
|
| 1000 | 108 |
12.9%
|
|
| 1100 | 1 |
0.1%
|
|
| 1200 | 9 |
1.1%
|
|
| 1300 | 5 |
0.6%
|
|
| 1350 | 1 |
0.1%
|
|
| 1400 | 2 |
0.2%
|
|
| 1480 | 1 |
0.1%
|
|
| 1500 | 69 |
8.3%
|
|
| 1600 | 2 |
0.2%
|
|
| 1700 | 2 |
0.2%
|
|
| 1800 | 4 |
0.5%
|
|
| 1950 | 1 |
0.1%
|
|
| 2000 | 79 |
9.4%
|
|
| 2500 | 26 |
3.1%
|
|
| 2800 | 4 |
0.5%
|
|
| 3000 | 35 |
4.2%
|
|
| 3500 | 8 |
1%
|
|
| 3600 | 1 |
0.1%
|
|
| 4000 | 16 |
1.9%
|
|
| 4500 | 1 |
0.1%
|
|
| 4800 | 1 |
0.1%
|
|
| 5000 | 27 |
3.2%
|
|
| 6000 | 7 |
0.8%
|
|
| 6500 | 1 |
0.1%
|
|
| 7000 | 5 |
0.6%
|
|
| 8000 | 2 |
0.2%
|
|
| 10000 | 9 |
1.1%
|
|
| 11000 | 1 |
0.1%
|
|
| 18000 | 1 |
0.1%
|
|
| 20000 | 2 |
0.2%
|
|
| 30000 | 1 |
0.1%
|
|
| 888888 | Don't know | 0 |
0%
|
| 999999 | Missing | 1 |
0.1%
|
| Sysmiss | 2779 |
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.