Schooling, Income, and Health Risk Impact Evaluation Household Survey 2012, Round 4
Malawi, 2012
Get MicrodataCreated on
Jan 19, 2021
Last modified
Jan 19, 2021
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- Data files
- SIHR4__baseline_controls_public.dta
- SIHR4__CR_status_R1-R4_public.dta
- SIHR4_ECD_CS_public.dta
- SIHR4_ECD_MDAT_public.dta
- SIHR4_ECD_SDQ_public.dta
- SIHR4_PI_CS1_public.dta
- SIHR4_PI_S1_public.dta
- SIHR4_PI_S2_public.dta
- SIHR4_PI_S3A_public.dta
- SIHR4_PI_S3B_public.dta
- SIHR4_PI_S3C_public.dta
- SIHR4_PI_S3D_public.dta
- SIHR4_PI_S4_public.dta
- SIHR4_PI_S5_public.dta
- SIHR4_PI_S6_public.dta
- SIHR4_PII_CS2_public.dta
- SIHR4_PII_S7A_public.dta
- SIHR4_PII_S7B_public.dta
- SIHR4_PII_S8A_public.dta
- SIHR4_PII_S8B_public.dta
- SIHR4_PII_S9_public.dta
- SIHR4_PII_S10A_public.dta
- SIHR4_PII_S10B_public.dta
- SIHR4_PII_S11A_public.dta
- SIHR4_PII_S11B_public.dta
- SIHR4_PII_S12A_public.dta
- SIHR4_PII_S12B_public.dta
- SIHR4_PII_S13_public.dta
- SIHR4_PII_S14_public.dta
- SIHR4_PII_S15_public.dta
- SIHR4_PII_S16_public.dta
- SIHR4_PII_S17_public.dta
- SIHR4_PII_S18A_public.dta
- SIHR4_PII_S18B_public.dta
- SIHR4_PII_S19_public.dta
- SIHR4_PII_S21_public.dta
- SIHR4_PII_S22_public.dta
- SIHR4_PII_S23_public.dta
- SIHR4_PIII_CS3_public.dta
- SIHR4_PIII_S25_public.dta
- SIHR4_PIII_S26_public.dta
- SIHR4_PIII_S27A_public.dta
- SIHR4_PIII_S27B_public.dta
- SIHR4_PIII_S28_public.dta
- SIHR4_PIII_S29_public.dta
- SIHR4_PIII_S30_public.dta
- SIHR4_PIII_S31_public.dta
- SIHR4_PIII_S32A_public.dta
- SIHR4_PIII_S32B_public.dta
- SIHR4_PIII_S33_public.dta
- sihr4__identifiers_clean.dta
How much rent do you pay/receive for this plot? amount (s3q10_a)
Data file: SIHR4_PI_S3C_public.dta
Overview
Valid:
5262
Invalid:
-
Minimum:
0
Maximum:
999999
Type:
Discrete
Decimal:
0
Start:
83
End:
88
Width:
6
Range:
0 - 999999
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 4764 |
90.5%
|
|
| 300 | 1 |
0%
|
|
| 500 | 4 |
0.1%
|
|
| 750 | 1 |
0%
|
|
| 900 | 1 |
0%
|
|
| 1000 | 20 |
0.4%
|
|
| 1200 | 3 |
0.1%
|
|
| 1300 | 2 |
0%
|
|
| 1500 | 39 |
0.7%
|
|
| 1600 | 1 |
0%
|
|
| 1700 | 2 |
0%
|
|
| 1800 | 2 |
0%
|
|
| 2000 | 55 |
1%
|
|
| 2300 | 1 |
0%
|
|
| 2400 | 1 |
0%
|
|
| 2500 | 54 |
1%
|
|
| 2800 | 2 |
0%
|
|
| 3000 | 66 |
1.3%
|
|
| 3200 | 1 |
0%
|
|
| 3500 | 43 |
0.8%
|
|
| 3600 | 1 |
0%
|
|
| 4000 | 42 |
0.8%
|
|
| 4500 | 19 |
0.4%
|
|
| 4600 | 1 |
0%
|
|
| 4800 | 1 |
0%
|
|
| 5000 | 53 |
1%
|
|
| 5500 | 7 |
0.1%
|
|
| 6000 | 24 |
0.5%
|
|
| 6500 | 2 |
0%
|
|
| 7000 | 12 |
0.2%
|
|
| 7500 | 8 |
0.2%
|
|
| 8000 | 12 |
0.2%
|
|
| 8500 | 1 |
0%
|
|
| 9000 | 6 |
0.1%
|
|
| 10000 | 4 |
0.1%
|
|
| 13000 | 1 |
0%
|
|
| 14000 | 1 |
0%
|
|
| 15000 | 1 |
0%
|
|
| 20000 | 1 |
0%
|
|
| 888888 | Don't Know | 1 |
0%
|
| 999999 | Missing | 1 |
0%
|
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.