Schooling, Income, and Health Risk Impact Evaluation Household Survey 2007-2008, Round I (Baseline)
Malawi, 2007 - 2008
Get Microdata
Reference ID
MWI_2007_SIHR_v01_M_v01_A_PUF
Producer(s)
Sarah Baird, Craig McIntosh, Berk Özler
Collection(s)
Metadata
Created on
May 03, 2012
Last modified
Sep 26, 2013
Page views
153539
Downloads
16407
- Data files
- SIHR1_identifers
- SIHR1_PI_S1_public
- SIHR1_PI_S2_public
- SIHR1_PI_S3_public
- SIHR1_PI_S4_public
- SIHR1_PI_S5_public
- SIHR1_PI_S6_public
- SIHR1_PI_S7_public
- SIHR1_PII_S8_public
- SIHR1_PII_S9_public
- SIHR1_PII_S10_public
- SIHR1_PII_S11_public
- SIHR1_PII_S12_public
- SIHR1_PII_S12a_public
- SIHR1_PII_S13_public
- SIHR1_PII_S14_public
- SIHR1_PII_S15_public
- SIHR1_PII_S16_public
How much do you estimate to have earned in the past year? (s9q36)
Data file: SIHR1_PII_S9_public
Overview
Valid:
3810
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
244
End:
249
Width:
6
Range:
0 - 999999
Format:
Numeric
Questions and instructions
Literal question
Think about all of the work that you have done in the past year 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 | 1529 |
40.1%
|
|
| 15 | 1 |
0%
|
|
| 30 | 1 |
0%
|
|
| 40 | 4 |
0.1%
|
|
| 50 | 23 |
0.6%
|
|
| 55 | 1 |
0%
|
|
| 60 | 6 |
0.2%
|
|
| 61 | 1 |
0%
|
|
| 70 | 8 |
0.2%
|
|
| 75 | 2 |
0.1%
|
|
| 80 | 6 |
0.2%
|
|
| 90 | 5 |
0.1%
|
|
| 95 | 1 |
0%
|
|
| 100 | 73 |
1.9%
|
|
| 110 | 1 |
0%
|
|
| 120 | 8 |
0.2%
|
|
| 130 | 3 |
0.1%
|
|
| 140 | 3 |
0.1%
|
|
| 150 | 53 |
1.4%
|
|
| 154 | 1 |
0%
|
|
| 155 | 1 |
0%
|
|
| 160 | 8 |
0.2%
|
|
| 165 | 2 |
0.1%
|
|
| 170 | 3 |
0.1%
|
|
| 175 | 1 |
0%
|
|
| 180 | 4 |
0.1%
|
|
| 185 | 1 |
0%
|
|
| 190 | 1 |
0%
|
|
| 195 | 1 |
0%
|
|
| 200 | 148 |
3.9%
|
|
| 205 | 1 |
0%
|
|
| 215 | 1 |
0%
|
|
| 220 | 2 |
0.1%
|
|
| 225 | 1 |
0%
|
|
| 230 | 1 |
0%
|
|
| 235 | 1 |
0%
|
|
| 240 | 2 |
0.1%
|
|
| 250 | 80 |
2.1%
|
|
| 255 | 2 |
0.1%
|
|
| 260 | 2 |
0.1%
|
|
| 265 | 2 |
0.1%
|
|
| 270 | 6 |
0.2%
|
|
| 275 | 1 |
0%
|
|
| 290 | 1 |
0%
|
|
| 295 | 1 |
0%
|
|
| 300 | 111 |
2.9%
|
|
| 320 | 5 |
0.1%
|
|
| 330 | 1 |
0%
|
|
| 340 | 4 |
0.1%
|
|
| 350 | 43 |
1.1%
|
|
| 360 | 8 |
0.2%
|
|
| 365 | 3 |
0.1%
|
|
| 370 | 3 |
0.1%
|
|
| 380 | 2 |
0.1%
|
|
| 390 | 2 |
0.1%
|
|
| 400 | 66 |
1.7%
|
|
| 420 | 3 |
0.1%
|
|
| 430 | 2 |
0.1%
|
|
| 450 | 30 |
0.8%
|
|
| 460 | 1 |
0%
|
|
| 470 | 1 |
0%
|
|
| 480 | 4 |
0.1%
|
|
| 490 | 1 |
0%
|
|
| 500 | 247 |
6.5%
|
|
| 510 | 1 |
0%
|
|
| 520 | 1 |
0%
|
|
| 530 | 1 |
0%
|
|
| 550 | 22 |
0.6%
|
|
| 560 | 2 |
0.1%
|
|
| 570 | 3 |
0.1%
|
|
| 580 | 3 |
0.1%
|
|
| 585 | 1 |
0%
|
|
| 590 | 1 |
0%
|
|
| 595 | 1 |
0%
|
|
| 596 | 1 |
0%
|
|
| 600 | 55 |
1.4%
|
|
| 625 | 1 |
0%
|
|
| 650 | 17 |
0.4%
|
|
| 670 | 2 |
0.1%
|
|
| 673 | 1 |
0%
|
|
| 675 | 1 |
0%
|
|
| 680 | 1 |
0%
|
|
| 695 | 1 |
0%
|
|
| 700 | 61 |
1.6%
|
|
| 710 | 1 |
0%
|
|
| 720 | 2 |
0.1%
|
|
| 750 | 20 |
0.5%
|
|
| 765 | 1 |
0%
|
|
| 780 | 1 |
0%
|
|
| 800 | 58 |
1.5%
|
|
| 825 | 1 |
0%
|
|
| 850 | 14 |
0.4%
|
|
| 870 | 1 |
0%
|
|
| 885 | 1 |
0%
|
|
| 900 | 17 |
0.4%
|
|
| 930 | 1 |
0%
|
|
| 950 | 2 |
0.1%
|
|
| 965 | 1 |
0%
|
|
| 1000 | 205 |
5.4%
|
|
| 1020 | 2 |
0.1%
|
|
| 1050 | 4 |
0.1%
|
|
| 1080 | 1 |
0%
|
|
| 1100 | 5 |
0.1%
|
|
| 1150 | 2 |
0.1%
|
|
| 1200 | 30 |
0.8%
|
|
| 1250 | 4 |
0.1%
|
|
| 1270 | 1 |
0%
|
|
| 1300 | 4 |
0.1%
|
|
| 1350 | 1 |
0%
|
|
| 1360 | 1 |
0%
|
|
| 1390 | 1 |
0%
|
|
| 1400 | 9 |
0.2%
|
|
| 1450 | 2 |
0.1%
|
|
| 1500 | 149 |
3.9%
|
|
| 1550 | 3 |
0.1%
|
|
| 1600 | 7 |
0.2%
|
|
| 1650 | 2 |
0.1%
|
|
| 1680 | 1 |
0%
|
|
| 1700 | 4 |
0.1%
|
|
| 1750 | 3 |
0.1%
|
|
| 1800 | 6 |
0.2%
|
|
| 1850 | 1 |
0%
|
|
| 1900 | 1 |
0%
|
|
| 1950 | 1 |
0%
|
|
| 2000 | 148 |
3.9%
|
|
| 2050 | 1 |
0%
|
|
| 2100 | 2 |
0.1%
|
|
| 2155 | 1 |
0%
|
|
| 2200 | 3 |
0.1%
|
|
| 2250 | 1 |
0%
|
|
| 2300 | 4 |
0.1%
|
|
| 2350 | 1 |
0%
|
|
| 2400 | 16 |
0.4%
|
|
| 2500 | 41 |
1.1%
|
|
| 2600 | 2 |
0.1%
|
|
| 2665 | 1 |
0%
|
|
| 2700 | 1 |
0%
|
|
| 2750 | 1 |
0%
|
|
| 2800 | 6 |
0.2%
|
|
| 2900 | 1 |
0%
|
|
| 2950 | 1 |
0%
|
|
| 3000 | 80 |
2.1%
|
|
| 3200 | 3 |
0.1%
|
|
| 3400 | 1 |
0%
|
|
| 3490 | 1 |
0%
|
|
| 3500 | 11 |
0.3%
|
|
| 3525 | 1 |
0%
|
|
| 3600 | 1 |
0%
|
|
| 3750 | 2 |
0.1%
|
|
| 3800 | 3 |
0.1%
|
|
| 4000 | 20 |
0.5%
|
|
| 4500 | 5 |
0.1%
|
|
| 4800 | 1 |
0%
|
|
| 4900 | 1 |
0%
|
|
| 5000 | 45 |
1.2%
|
|
| 5400 | 2 |
0.1%
|
|
| 5500 | 1 |
0%
|
|
| 5600 | 2 |
0.1%
|
|
| 5700 | 1 |
0%
|
|
| 5800 | 2 |
0.1%
|
|
| 6000 | 14 |
0.4%
|
|
| 6800 | 1 |
0%
|
|
| 7000 | 8 |
0.2%
|
|
| 7300 | 1 |
0%
|
|
| 7500 | 2 |
0.1%
|
|
| 7860 | 1 |
0%
|
|
| 8000 | 6 |
0.2%
|
|
| 9000 | 4 |
0.1%
|
|
| 9600 | 2 |
0.1%
|
|
| 10000 | 13 |
0.3%
|
|
| 10500 | 1 |
0%
|
|
| 11000 | 1 |
0%
|
|
| 11100 | 1 |
0%
|
|
| 12000 | 14 |
0.4%
|
|
| 15000 | 5 |
0.1%
|
|
| 16000 | 1 |
0%
|
|
| 16500 | 1 |
0%
|
|
| 18000 | 3 |
0.1%
|
|
| 18500 | 1 |
0%
|
|
| 20000 | 6 |
0.2%
|
|
| 24000 | 3 |
0.1%
|
|
| 26000 | 1 |
0%
|
|
| 29600 | 1 |
0%
|
|
| 30000 | 2 |
0.1%
|
|
| 35000 | 1 |
0%
|
|
| 40000 | 1 |
0%
|
|
| 50000 | 1 |
0%
|
|
| 54000 | 1 |
0%
|
|
| 58000 | 1 |
0%
|
|
| 888888 | Don't know | 0 |
0%
|
| 999999 | Missing | 9 |
0.2%
|
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.