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
Estimated value of this benefit in MK (s6q05)
Data file: SIHR2_PI_S6a_public
Overview
Valid:
506
Invalid:
41822
Type:
Discrete
Decimal:
0
Start:
149
End:
154
Width:
6
Range:
-
Format:
Questions and instructions
Literal question
What was the estimated value of this benefit in MK?
Categories
| Value | Category |
|---|---|
| 75 | |
| 100 | |
| 121 | |
| 150 | |
| 165 | |
| 200 | |
| 250 | |
| 260 | |
| 264 | |
| 275 | |
| 290 | |
| 300 | |
| 320 | |
| 324 | |
| 350 | |
| 375 | |
| 400 | |
| 450 | |
| 486 | |
| 500 | |
| 600 | |
| 630 | |
| 700 | |
| 750 | |
| 800 | |
| 850 | |
| 860 | |
| 875 | |
| 900 | |
| 950 | |
| 1000 | |
| 1040 | |
| 1050 | |
| 1100 | |
| 1200 | |
| 1250 | |
| 1300 | |
| 1320 | |
| 1400 | |
| 1500 | |
| 1600 | |
| 1690 | |
| 1700 | |
| 1800 | |
| 1980 | |
| 2000 | |
| 2100 | |
| 2200 | |
| 2310 | |
| 2400 | |
| 2500 | |
| 2600 | |
| 2750 | |
| 2800 | |
| 3000 | |
| 3200 | |
| 3210 | |
| 3460 | |
| 3500 | |
| 3600 | |
| 3800 | |
| 3850 | |
| 3900 | |
| 4000 | |
| 4200 | |
| 4224 | |
| 4225 | |
| 4250 | |
| 4450 | |
| 4500 | |
| 4800 | |
| 5000 | |
| 5100 | |
| 5200 | |
| 5400 | |
| 5500 | |
| 5550 | |
| 5800 | |
| 6000 | |
| 6400 | |
| 6480 | |
| 6500 | |
| 6800 | |
| 7000 | |
| 7200 | |
| 7380 | |
| 7500 | |
| 7800 | |
| 7950 | |
| 8000 | |
| 8340 | |
| 8400 | |
| 8448 | |
| 8500 | |
| 8900 | |
| 9000 | |
| 9300 | |
| 9400 | |
| 9500 | |
| 9600 | |
| 9900 | |
| 10000 | |
| 10440 | |
| 10500 | |
| 11000 | |
| 12000 | |
| 13000 | |
| 13200 | |
| 14000 | |
| 14100 | |
| 14320 | |
| 14850 | |
| 15000 | |
| 15300 | |
| 15400 | |
| 15450 | |
| 15650 | |
| 16000 | |
| 16060 | |
| 16170 | |
| 16500 | |
| 16740 | |
| 17250 | |
| 17500 | |
| 17700 | |
| 18000 | |
| 19000 | |
| 20000 | |
| 20150 | |
| 20200 | |
| 21000 | |
| 21200 | |
| 21500 | |
| 22000 | |
| 22620 | |
| 24000 | |
| 25000 | |
| 30000 | |
| 32000 | |
| 38000 | |
| 40000 | |
| 66680 | |
| 80000 | |
| 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.