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    Home / Central Data Catalog / ZWE_2014_HRBFIE-HH_V01_M / variable [F17]
central

Health Results-Based Financing Impact Evaluation 2014
Household Survey

Zimbabwe, 2011 - 2014
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Reference ID
ZWE_2014_HRBFIE-HH_v01_M
Producer(s)
Jed Friedman
Metadata
Documentation in PDF DDI/XML JSON
Study website
Created on
Oct 12, 2023
Last modified
Oct 12, 2023
Page views
31869
Downloads
111
  • Study Description
  • Data Dictionary
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  • Data files
  • anthropometry_final_HHpages35_36
  • contraception_final_cleaned
  • contraception_final_WOMpages8_10
  • cover_page
  • growthmonitoring_final_HHpages28
  • hiv_final_cleaned_full_roster
  • hiv_final_WOMpages12_13
  • household_schedule_final_HHp4_5
  • housing_final_HHpages7_10
  • immunisation_final_HHpages30_34
  • immunisation_hh_final_HHpage34
  • inpatient_fees_final_HHp22_27
  • inpatient_final_HHpage20
  • inpatient_hh_final_HHpage21
  • knowledge_final_WOMpage5_6
  • labour_final_HHpage6
  • maternal_final_WOMpages14_22
  • mental_final_WOMpage23
  • mental_health_final_cleaned
  • outpatient_final_HHpages11_13
  • outpatient_final_HHpages14_19
  • reproduction_final_cleaned
  • reproduction_final_WOMpage7
  • trust_final_WOMpage11

445D What would be your average daily earning if you were to use those days to w (w445dd)

Data file: maternal_final_WOMpages14_22

Overview

Valid: 1056
Invalid: 1059
Minimum: -99
Maximum: 80
Type: Discrete
Decimal: 0
Start: 519
End: 522
Width: 4
Range: -99 - 80
Format: Numeric

Questions and instructions

Literal question
What would be your average daily earning if you were to use those days to work?
- USD
Categories
Value Category Cases
-99 Missing response 0
0%
0 229
21.7%
1 77
7.3%
2 108
10.2%
2.4 1
0.1%
2.5 10
0.9%
3 73
6.9%
3.75 1
0.1%
4 45
4.3%
5 141
13.4%
6 20
1.9%
6.6 1
0.1%
7 16
1.5%
7.5 1
0.1%
8 14
1.3%
9 7
0.7%
10 118
11.2%
12 9
0.9%
12.5 1
0.1%
13 1
0.1%
14 1
0.1%
15 35
3.3%
16 1
0.1%
17 1
0.1%
18 2
0.2%
20 43
4.1%
20.4 1
0.1%
21 2
0.2%
22 1
0.1%
24 2
0.2%
25 11
1%
30 33
3.1%
32 1
0.1%
35 4
0.4%
36 1
0.1%
40 15
1.4%
45 5
0.5%
50 14
1.3%
55 2
0.2%
60 6
0.6%
70 1
0.1%
80 1
0.1%
Sysmiss 1059
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.
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