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
Amount to be repaid (MK) (s6q11)
Data file: SIHR3_PI_S6b_public
Overview
Valid:
1252
Invalid:
15488
Type:
Discrete
Decimal:
0
Start:
56
End:
62
Width:
7
Range:
-
Format:
Questions and instructions
Literal question
Amount to be repaid:
Categories
| Value | Category |
|---|---|
| 0 | |
| 400 | |
| 500 | |
| 550 | |
| 600 | |
| 650 | |
| 688 | |
| 700 | |
| 720 | |
| 750 | |
| 800 | |
| 900 | |
| 950 | |
| 1000 | |
| 1050 | |
| 1100 | |
| 1150 | |
| 1200 | |
| 1250 | |
| 1280 | |
| 1300 | |
| 1400 | |
| 1500 | |
| 1600 | |
| 1650 | |
| 1700 | |
| 1750 | |
| 1800 | |
| 1840 | |
| 1900 | |
| 1980 | |
| 2000 | |
| 2100 | |
| 2140 | |
| 2200 | |
| 2400 | |
| 2500 | |
| 2600 | |
| 2700 | |
| 2750 | |
| 2800 | |
| 2850 | |
| 3000 | |
| 3050 | |
| 3250 | |
| 3300 | |
| 3500 | |
| 3560 | |
| 3600 | |
| 3700 | |
| 3800 | |
| 3850 | |
| 4000 | |
| 4300 | |
| 4400 | |
| 4500 | |
| 4800 | |
| 5000 | |
| 5300 | |
| 5500 | |
| 5750 | |
| 6000 | |
| 6200 | |
| 6300 | |
| 6400 | |
| 6500 | |
| 6600 | |
| 7000 | |
| 7200 | |
| 7500 | |
| 7600 | |
| 7700 | |
| 7800 | |
| 7920 | |
| 8000 | |
| 8400 | |
| 8500 | |
| 8600 | |
| 8800 | |
| 9000 | |
| 9400 | |
| 9500 | |
| 9600 | |
| 9750 | |
| 10000 | |
| 10500 | |
| 10800 | |
| 11000 | |
| 11500 | |
| 11550 | |
| 11800 | |
| 12000 | |
| 12050 | |
| 12100 | |
| 12400 | |
| 12500 | |
| 12600 | |
| 13000 | |
| 14000 | |
| 14500 | |
| 14600 | |
| 15000 | |
| 16000 | |
| 16900 | |
| 17000 | |
| 17250 | |
| 17500 | |
| 17600 | |
| 18000 | |
| 18600 | |
| 18750 | |
| 19000 | |
| 20000 | |
| 21000 | |
| 21242 | |
| 21750 | |
| 22000 | |
| 22500 | |
| 23000 | |
| 23400 | |
| 24000 | |
| 24500 | |
| 25000 | |
| 25200 | |
| 26000 | |
| 28000 | |
| 28300 | |
| 28500 | |
| 29000 | |
| 30000 | |
| 30500 | |
| 30600 | |
| 31000 | |
| 31600 | |
| 32000 | |
| 33000 | |
| 35000 | |
| 36000 | |
| 37200 | |
| 37500 | |
| 38000 | |
| 39000 | |
| 39452 | |
| 40000 | |
| 42000 | |
| 43000 | |
| 44700 | |
| 45000 | |
| 48000 | |
| 49000 | |
| 50000 | |
| 51000 | |
| 54000 | |
| 55000 | |
| 56000 | |
| 58000 | |
| 60000 | |
| 60500 | |
| 62500 | |
| 64000 | |
| 65000 | |
| 68000 | |
| 69000 | |
| 70000 | |
| 72000 | |
| 75000 | |
| 78000 | |
| 80000 | |
| 81000 | |
| 85000 | |
| 95000 | |
| 96000 | |
| 96800 | |
| 100000 | |
| 112000 | |
| 115200 | |
| 116000 | |
| 120000 | |
| 125000 | |
| 126000 | |
| 133000 | |
| 135000 | |
| 140000 | |
| 150000 | |
| 160000 | |
| 167000 | |
| 172800 | |
| 180000 | |
| 187000 | |
| 200000 | |
| 216800 | |
| 225000 | |
| 240000 | |
| 250000 | |
| 280000 | |
| 400000 | |
| 500000 | |
| 888888 | Don't know |
| 999999 | Missing |
| 1000000 | |
| 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.