Schooling, Income, and Health Risk Impact Evaluation Household Survey 2010
Malawi, 2010
Get MicrodataCreated on
Sep 16, 2015
Last modified
Mar 29, 2019
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- 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
Estimated earnings over past year (s11q09)
Data file: SIHR3_PII_S11A_public
Overview
Valid:
3583
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
42
End:
47
Width:
6
Range:
-
Format:
Questions and instructions
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 | |
| 30 | |
| 50 | |
| 60 | |
| 90 | |
| 100 | |
| 120 | |
| 150 | |
| 200 | |
| 235 | |
| 240 | |
| 250 | |
| 270 | |
| 300 | |
| 320 | |
| 330 | |
| 340 | |
| 350 | |
| 370 | |
| 400 | |
| 420 | |
| 440 | |
| 450 | |
| 490 | |
| 500 | |
| 530 | |
| 550 | |
| 570 | |
| 600 | |
| 630 | |
| 650 | |
| 670 | |
| 700 | |
| 720 | |
| 750 | |
| 780 | |
| 800 | |
| 850 | |
| 890 | |
| 900 | |
| 950 | |
| 980 | |
| 1000 | |
| 1020 | |
| 1050 | |
| 1100 | |
| 1150 | |
| 1200 | |
| 1250 | |
| 1265 | |
| 1300 | |
| 1350 | |
| 1400 | |
| 1480 | |
| 1490 | |
| 1500 | |
| 1550 | |
| 1570 | |
| 1600 | |
| 1650 | |
| 1700 | |
| 1750 | |
| 1800 | |
| 1850 | |
| 1900 | |
| 1950 | |
| 2000 | |
| 2050 | |
| 2100 | |
| 2150 | |
| 2200 | |
| 2250 | |
| 2300 | |
| 2350 | |
| 2400 | |
| 2500 | |
| 2550 | |
| 2600 | |
| 2700 | |
| 2750 | |
| 2800 | |
| 2900 | |
| 3000 | |
| 3050 | |
| 3150 | |
| 3200 | |
| 3400 | |
| 3450 | |
| 3500 | |
| 3600 | |
| 3680 | |
| 3700 | |
| 3800 | |
| 3950 | |
| 4000 | |
| 4200 | |
| 4250 | |
| 4300 | |
| 4400 | |
| 4500 | |
| 4600 | |
| 4800 | |
| 5000 | |
| 5040 | |
| 5300 | |
| 5400 | |
| 5500 | |
| 5600 | |
| 5750 | |
| 5800 | |
| 6000 | |
| 6150 | |
| 6300 | |
| 6500 | |
| 6700 | |
| 6800 | |
| 6840 | |
| 7000 | |
| 7020 | |
| 7100 | |
| 7190 | |
| 7300 | |
| 7500 | |
| 7900 | |
| 8000 | |
| 8400 | |
| 8500 | |
| 8800 | |
| 9000 | |
| 9300 | |
| 9400 | |
| 9500 | |
| 9600 | |
| 9800 | |
| 10000 | |
| 10500 | |
| 10600 | |
| 10800 | |
| 11000 | |
| 11250 | |
| 11500 | |
| 12000 | |
| 13500 | |
| 14000 | |
| 14400 | |
| 15000 | |
| 16000 | |
| 16200 | |
| 17000 | |
| 17500 | |
| 18000 | |
| 19000 | |
| 19200 | |
| 20000 | |
| 21000 | |
| 22000 | |
| 22500 | |
| 24000 | |
| 25000 | |
| 26000 | |
| 28000 | |
| 29000 | |
| 30000 | |
| 31500 | |
| 35000 | |
| 38000 | |
| 40000 | |
| 42000 | |
| 48000 | |
| 50000 | |
| 51000 | |
| 54000 | |
| 55000 | |
| 60900 | |
| 70000 | |
| 72000 | |
| 80000 | |
| 84000 | |
| 117600 | |
| 145000 | |
| 162000 | |
| 216000 | |
| 350000 | |
| 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.