Schooling, Income, and Health Risk Impact Evaluation Household Survey 2008-2009
Malawi, 2008 - 2009
Get MicrodataCreated on
Sep 16, 2015
Last modified
Mar 29, 2019
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- Data files
- baseline_controls_public
- sihr_identifiers
- SIHR2_P1_S1_public
- SIHR2_PI_S2_public
- SIHR2_PI_S3_public
- SIHR2_PI_S4_public
- SIHR2_PI_S5_public
- SIHR2_PI_S6a_public
- SIHR2_PI_S6b_public
- SIHR2_PI_S6c_public
- SIHR2_PI_S7_public
- SIHR2_PI_S8_public
- SIHR2_PII_S09_public
- SIHR2_PII_S10_public
- SIHR2_PII_S11_public
- SIHR2_PII_S12A_public
- SIHR2_PII_S12B_public
- SIHR2_PII_S13_public
- SIHR2_PII_S14_public
- SIHR2_PII_S15A_public
- SIHR2_PII_S15B_public
- SIHR2_PII_S16A_public
- SIHR2_PII_S16B_public
- SIHR2_PII_S16C_public
- SIHR2_PII_S17_public
How much (MK) has anyone who is not a member of your hh spent on [...] for you? (s16q05)
Data file: SIHR2_PII_S16A_public
Overview
Valid:
12776
Invalid:
30027
Type:
Discrete
Decimal:
0
Start:
33
End:
38
Width:
6
Range:
-
Format:
Questions and instructions
Question pretext
For each of the following goods and expenditure sources, please give the expenditure totals OVER THE PAST 30 DAYS: (in Malawian Kwachas)
Literal question
How much has anyone else who is not a member of your household spent purchasing _______ for you?
Categories
| Value | Category |
|---|---|
| 0 | |
| 2 | |
| 5 | |
| 10 | |
| 15 | |
| 20 | |
| 25 | |
| 30 | |
| 35 | |
| 40 | |
| 45 | |
| 50 | |
| 55 | |
| 60 | |
| 65 | |
| 68 | |
| 70 | |
| 75 | |
| 80 | |
| 85 | |
| 90 | |
| 95 | |
| 100 | |
| 105 | |
| 110 | |
| 120 | |
| 125 | |
| 130 | |
| 135 | |
| 140 | |
| 150 | |
| 160 | |
| 165 | |
| 170 | |
| 175 | |
| 180 | |
| 185 | |
| 190 | |
| 195 | |
| 198 | |
| 200 | |
| 210 | |
| 220 | |
| 225 | |
| 230 | |
| 240 | |
| 245 | |
| 246 | |
| 250 | |
| 251 | |
| 270 | |
| 275 | |
| 280 | |
| 300 | |
| 320 | |
| 330 | |
| 350 | |
| 360 | |
| 370 | |
| 380 | |
| 390 | |
| 400 | |
| 420 | |
| 430 | |
| 435 | |
| 440 | |
| 450 | |
| 485 | |
| 490 | |
| 500 | |
| 520 | |
| 550 | |
| 560 | |
| 570 | |
| 590 | |
| 600 | |
| 650 | |
| 680 | |
| 690 | |
| 700 | |
| 750 | |
| 770 | |
| 790 | |
| 800 | |
| 850 | |
| 880 | |
| 900 | |
| 940 | |
| 950 | |
| 1000 | |
| 1100 | |
| 1175 | |
| 1200 | |
| 1250 | |
| 1300 | |
| 1400 | |
| 1500 | |
| 1600 | |
| 1700 | |
| 1800 | |
| 1820 | |
| 1900 | |
| 2000 | |
| 2150 | |
| 2239 | |
| 2240 | |
| 2268 | |
| 2300 | |
| 2500 | |
| 2600 | |
| 2700 | |
| 2800 | |
| 2900 | |
| 3000 | |
| 3200 | |
| 3240 | |
| 3500 | |
| 3750 | |
| 4000 | |
| 4500 | |
| 5000 | |
| 5500 | |
| 6500 | |
| 7000 | |
| 8500 | |
| 9000 | |
| 9999 | |
| 888888 | Don't know |
| 999999 | Missing |
| Sysmiss |
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.