Schooling, Income, and Health Risk Impact Evaluation Household Survey 2008-2009, Round 2 (Midline)
Malawi, 2008 - 2009
Get Microdata
Reference ID
MWI_2008_SIHRIE-R2_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
101647
Downloads
3126
- 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:
0 - 999999
Format:
Numeric
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 | Cases | |
|---|---|---|---|
| 0 | 1508 |
42.3%
|
|
| 20 | 1 |
0%
|
|
| 30 | 3 |
0.1%
|
|
| 50 | 10 |
0.3%
|
|
| 60 | 1 |
0%
|
|
| 70 | 1 |
0%
|
|
| 80 | 4 |
0.1%
|
|
| 85 | 1 |
0%
|
|
| 90 | 1 |
0%
|
|
| 100 | 48 |
1.3%
|
|
| 110 | 1 |
0%
|
|
| 120 | 3 |
0.1%
|
|
| 130 | 1 |
0%
|
|
| 140 | 2 |
0.1%
|
|
| 145 | 1 |
0%
|
|
| 150 | 31 |
0.9%
|
|
| 155 | 1 |
0%
|
|
| 160 | 1 |
0%
|
|
| 165 | 1 |
0%
|
|
| 170 | 2 |
0.1%
|
|
| 180 | 1 |
0%
|
|
| 200 | 91 |
2.6%
|
|
| 210 | 1 |
0%
|
|
| 215 | 1 |
0%
|
|
| 225 | 1 |
0%
|
|
| 230 | 1 |
0%
|
|
| 240 | 2 |
0.1%
|
|
| 250 | 50 |
1.4%
|
|
| 260 | 2 |
0.1%
|
|
| 265 | 1 |
0%
|
|
| 270 | 1 |
0%
|
|
| 280 | 1 |
0%
|
|
| 290 | 1 |
0%
|
|
| 300 | 77 |
2.2%
|
|
| 320 | 1 |
0%
|
|
| 340 | 1 |
0%
|
|
| 350 | 20 |
0.6%
|
|
| 360 | 1 |
0%
|
|
| 370 | 1 |
0%
|
|
| 375 | 1 |
0%
|
|
| 380 | 1 |
0%
|
|
| 390 | 1 |
0%
|
|
| 400 | 45 |
1.3%
|
|
| 410 | 1 |
0%
|
|
| 420 | 2 |
0.1%
|
|
| 450 | 19 |
0.5%
|
|
| 475 | 1 |
0%
|
|
| 500 | 266 |
7.5%
|
|
| 510 | 2 |
0.1%
|
|
| 520 | 1 |
0%
|
|
| 535 | 1 |
0%
|
|
| 540 | 4 |
0.1%
|
|
| 550 | 19 |
0.5%
|
|
| 552 | 1 |
0%
|
|
| 555 | 1 |
0%
|
|
| 570 | 2 |
0.1%
|
|
| 580 | 2 |
0.1%
|
|
| 600 | 49 |
1.4%
|
|
| 620 | 1 |
0%
|
|
| 630 | 2 |
0.1%
|
|
| 650 | 17 |
0.5%
|
|
| 675 | 1 |
0%
|
|
| 680 | 2 |
0.1%
|
|
| 700 | 69 |
1.9%
|
|
| 720 | 1 |
0%
|
|
| 740 | 1 |
0%
|
|
| 750 | 25 |
0.7%
|
|
| 765 | 1 |
0%
|
|
| 770 | 1 |
0%
|
|
| 780 | 1 |
0%
|
|
| 800 | 82 |
2.3%
|
|
| 820 | 1 |
0%
|
|
| 830 | 1 |
0%
|
|
| 850 | 16 |
0.4%
|
|
| 900 | 8 |
0.2%
|
|
| 920 | 1 |
0%
|
|
| 950 | 7 |
0.2%
|
|
| 965 | 1 |
0%
|
|
| 1000 | 175 |
4.9%
|
|
| 1020 | 2 |
0.1%
|
|
| 1040 | 1 |
0%
|
|
| 1050 | 3 |
0.1%
|
|
| 1070 | 1 |
0%
|
|
| 1080 | 1 |
0%
|
|
| 1100 | 5 |
0.1%
|
|
| 1150 | 3 |
0.1%
|
|
| 1200 | 37 |
1%
|
|
| 1250 | 11 |
0.3%
|
|
| 1300 | 9 |
0.3%
|
|
| 1350 | 2 |
0.1%
|
|
| 1400 | 6 |
0.2%
|
|
| 1450 | 1 |
0%
|
|
| 1500 | 128 |
3.6%
|
|
| 1505 | 1 |
0%
|
|
| 1550 | 2 |
0.1%
|
|
| 1600 | 9 |
0.3%
|
|
| 1620 | 1 |
0%
|
|
| 1660 | 1 |
0%
|
|
| 1700 | 7 |
0.2%
|
|
| 1750 | 2 |
0.1%
|
|
| 1800 | 23 |
0.6%
|
|
| 1850 | 3 |
0.1%
|
|
| 1900 | 5 |
0.1%
|
|
| 2000 | 123 |
3.4%
|
|
| 2100 | 5 |
0.1%
|
|
| 2200 | 4 |
0.1%
|
|
| 2250 | 1 |
0%
|
|
| 2300 | 8 |
0.2%
|
|
| 2350 | 1 |
0%
|
|
| 2400 | 9 |
0.3%
|
|
| 2425 | 1 |
0%
|
|
| 2475 | 1 |
0%
|
|
| 2500 | 57 |
1.6%
|
|
| 2600 | 3 |
0.1%
|
|
| 2700 | 3 |
0.1%
|
|
| 2780 | 1 |
0%
|
|
| 2800 | 5 |
0.1%
|
|
| 2900 | 2 |
0.1%
|
|
| 2975 | 1 |
0%
|
|
| 3000 | 82 |
2.3%
|
|
| 3150 | 2 |
0.1%
|
|
| 3200 | 3 |
0.1%
|
|
| 3220 | 1 |
0%
|
|
| 3250 | 1 |
0%
|
|
| 3300 | 2 |
0.1%
|
|
| 3350 | 1 |
0%
|
|
| 3400 | 1 |
0%
|
|
| 3500 | 24 |
0.7%
|
|
| 3550 | 1 |
0%
|
|
| 3600 | 3 |
0.1%
|
|
| 3700 | 1 |
0%
|
|
| 3800 | 6 |
0.2%
|
|
| 4000 | 29 |
0.8%
|
|
| 4100 | 1 |
0%
|
|
| 4200 | 1 |
0%
|
|
| 4300 | 1 |
0%
|
|
| 4500 | 10 |
0.3%
|
|
| 4600 | 1 |
0%
|
|
| 4800 | 2 |
0.1%
|
|
| 4950 | 1 |
0%
|
|
| 5000 | 42 |
1.2%
|
|
| 5100 | 1 |
0%
|
|
| 5400 | 1 |
0%
|
|
| 5500 | 4 |
0.1%
|
|
| 5600 | 1 |
0%
|
|
| 5800 | 4 |
0.1%
|
|
| 5850 | 1 |
0%
|
|
| 6000 | 26 |
0.7%
|
|
| 6500 | 1 |
0%
|
|
| 6600 | 1 |
0%
|
|
| 7000 | 9 |
0.3%
|
|
| 7200 | 1 |
0%
|
|
| 7500 | 3 |
0.1%
|
|
| 8000 | 9 |
0.3%
|
|
| 8100 | 1 |
0%
|
|
| 8400 | 1 |
0%
|
|
| 8500 | 2 |
0.1%
|
|
| 9000 | 3 |
0.1%
|
|
| 9600 | 1 |
0%
|
|
| 10000 | 19 |
0.5%
|
|
| 10500 | 3 |
0.1%
|
|
| 11000 | 3 |
0.1%
|
|
| 11450 | 1 |
0%
|
|
| 12000 | 3 |
0.1%
|
|
| 13000 | 3 |
0.1%
|
|
| 13200 | 1 |
0%
|
|
| 13500 | 1 |
0%
|
|
| 14000 | 1 |
0%
|
|
| 14400 | 1 |
0%
|
|
| 15000 | 9 |
0.3%
|
|
| 15600 | 1 |
0%
|
|
| 16000 | 2 |
0.1%
|
|
| 16500 | 1 |
0%
|
|
| 17500 | 1 |
0%
|
|
| 18000 | 3 |
0.1%
|
|
| 19500 | 1 |
0%
|
|
| 20000 | 5 |
0.1%
|
|
| 21000 | 1 |
0%
|
|
| 24000 | 4 |
0.1%
|
|
| 25000 | 1 |
0%
|
|
| 27000 | 1 |
0%
|
|
| 28500 | 1 |
0%
|
|
| 30000 | 2 |
0.1%
|
|
| 32000 | 1 |
0%
|
|
| 33000 | 1 |
0%
|
|
| 35000 | 1 |
0%
|
|
| 49500 | 1 |
0%
|
|
| 60000 | 1 |
0%
|
|
| 62000 | 1 |
0%
|
|
| 70000 | 1 |
0%
|
|
| 100000 | 1 |
0%
|
|
| 120000 | 1 |
0%
|
|
| 160000 | 1 |
0%
|
|
| 888888 | Don't know | 0 |
0%
|
| 999999 | Missing | 3 |
0.1%
|
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.