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 many girls? (s30q51b)
Data file: SIHR4_PIII_S30_public.dta
Overview
Valid:
149
Invalid:
740
Minimum:
0
Maximum:
99
Type:
Discrete
Decimal:
0
Start:
97
End:
98
Width:
2
Range:
0 - 99
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 1 |
0.7%
|
|
| 1 | 48 |
32.2%
|
|
| 2 | 82 |
55%
|
|
| 3 | 11 |
7.4%
|
|
| 4 | 3 |
2%
|
|
| 88 | Don't Know | 1 |
0.7%
|
| 99 | Missing | 3 |
2%
|
| Sysmiss | 740 |
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.