Schooling, Income, and Health Risk Impact Evaluation Household Survey 2012, Round 4
Malawi, 2012
Get Microdata
Reference ID
MWI_2012_SIHRIE-R4_v02_M
Producer(s)
Berk Ozler, Sarah Baird, Craig McIntosh, Ephraim Chirwa
Collection(s)
Metadata
Created on
Sep 28, 2020
Last modified
Sep 28, 2020
Page views
96580
Downloads
2681
- 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
What would the daily rate have to be? (s8q17)
Data file: SIHR4_PII_S8A_public.dta
Overview
Valid:
1582
Invalid:
1292
Minimum:
100
Maximum:
9999
Type:
Discrete
Decimal:
0
Start:
143
End:
146
Width:
4
Range:
100 - 9999
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 100 | 1 |
0.1%
|
|
| 250 | 1 |
0.1%
|
|
| 300 | 22 |
1.4%
|
|
| 350 | 7 |
0.4%
|
|
| 400 | 14 |
0.9%
|
|
| 450 | 3 |
0.2%
|
|
| 500 | 186 |
11.8%
|
|
| 600 | 4 |
0.3%
|
|
| 700 | 4 |
0.3%
|
|
| 800 | 5 |
0.3%
|
|
| 850 | 1 |
0.1%
|
|
| 1000 | 65 |
4.1%
|
|
| 1200 | 1 |
0.1%
|
|
| 1500 | 20 |
1.3%
|
|
| 2000 | 14 |
0.9%
|
|
| 2500 | 3 |
0.2%
|
|
| 3000 | 3 |
0.2%
|
|
| 3500 | 1 |
0.1%
|
|
| 4000 | 2 |
0.1%
|
|
| 4500 | 1 |
0.1%
|
|
| 5000 | 6 |
0.4%
|
|
| 6000 | 1 |
0.1%
|
|
| 8000 | 1 |
0.1%
|
|
| 8888 | Don't Know | 0 |
0%
|
| 9000 | 1 |
0.1%
|
|
| 9999 | Missing | 1215 |
76.8%
|
| Sysmiss | 1292 |
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.