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
Page views
35249
Downloads
3100
- 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 do you estimate that you have earned in the past year (s10q29)
Data file: SIHR2_PII_S10_public
Overview
Valid:
3567
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
286
End:
291
Width:
6
Range:
-
Format:
Questions and instructions
Question pretext
Now I am going to ask you a few questions about work that you might do
Literal question
Think about all of the work that you have done over the past 12 months in which you have been paid cash or kind. How much do you estimate that you have earned in the past year?
Categories
| Value | Category |
|---|---|
| 0 | |
| 20 | |
| 30 | |
| 50 | |
| 60 | |
| 70 | |
| 80 | |
| 85 | |
| 90 | |
| 100 | |
| 110 | |
| 120 | |
| 130 | |
| 140 | |
| 145 | |
| 150 | |
| 155 | |
| 160 | |
| 165 | |
| 170 | |
| 180 | |
| 200 | |
| 210 | |
| 215 | |
| 225 | |
| 230 | |
| 240 | |
| 250 | |
| 260 | |
| 265 | |
| 270 | |
| 280 | |
| 290 | |
| 300 | |
| 320 | |
| 340 | |
| 350 | |
| 360 | |
| 370 | |
| 375 | |
| 380 | |
| 390 | |
| 400 | |
| 410 | |
| 420 | |
| 450 | |
| 475 | |
| 500 | |
| 510 | |
| 520 | |
| 535 | |
| 540 | |
| 550 | |
| 552 | |
| 555 | |
| 570 | |
| 580 | |
| 600 | |
| 620 | |
| 630 | |
| 650 | |
| 675 | |
| 680 | |
| 700 | |
| 720 | |
| 740 | |
| 750 | |
| 765 | |
| 770 | |
| 780 | |
| 800 | |
| 820 | |
| 830 | |
| 850 | |
| 900 | |
| 920 | |
| 950 | |
| 965 | |
| 1000 | |
| 1020 | |
| 1040 | |
| 1050 | |
| 1070 | |
| 1080 | |
| 1100 | |
| 1150 | |
| 1200 | |
| 1250 | |
| 1300 | |
| 1350 | |
| 1400 | |
| 1450 | |
| 1500 | |
| 1505 | |
| 1550 | |
| 1600 | |
| 1620 | |
| 1660 | |
| 1700 | |
| 1750 | |
| 1800 | |
| 1850 | |
| 1900 | |
| 2000 | |
| 2100 | |
| 2200 | |
| 2250 | |
| 2300 | |
| 2350 | |
| 2400 | |
| 2425 | |
| 2475 | |
| 2500 | |
| 2600 | |
| 2700 | |
| 2780 | |
| 2800 | |
| 2900 | |
| 2975 | |
| 3000 | |
| 3150 | |
| 3200 | |
| 3220 | |
| 3250 | |
| 3300 | |
| 3350 | |
| 3400 | |
| 3500 | |
| 3550 | |
| 3600 | |
| 3700 | |
| 3800 | |
| 4000 | |
| 4100 | |
| 4200 | |
| 4300 | |
| 4500 | |
| 4600 | |
| 4800 | |
| 4950 | |
| 5000 | |
| 5100 | |
| 5400 | |
| 5500 | |
| 5600 | |
| 5800 | |
| 5850 | |
| 6000 | |
| 6500 | |
| 6600 | |
| 7000 | |
| 7200 | |
| 7500 | |
| 8000 | |
| 8100 | |
| 8400 | |
| 8500 | |
| 9000 | |
| 9600 | |
| 10000 | |
| 10500 | |
| 11000 | |
| 11450 | |
| 12000 | |
| 13000 | |
| 13200 | |
| 13500 | |
| 14000 | |
| 14400 | |
| 15000 | |
| 15600 | |
| 16000 | |
| 16500 | |
| 17500 | |
| 18000 | |
| 19500 | |
| 20000 | |
| 21000 | |
| 24000 | |
| 25000 | |
| 27000 | |
| 28500 | |
| 30000 | |
| 32000 | |
| 33000 | |
| 35000 | |
| 49500 | |
| 60000 | |
| 62000 | |
| 70000 | |
| 100000 | |
| 120000 | |
| 160000 | |
| 888888 | Don't know |
| 999999 | Missing |
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.