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    Home / Central Data Catalog / ZWE_2014_HRBFIE-HH_V01_M / variable [F12]
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
32981
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

H239 What is [NAME]'s average hourly earning rate if [NAME] were to use this tim (h239d)

Data file: inpatient_fees_final_HHp22_27

Overview

Valid: 197
Invalid: 1659
Minimum: 0
Maximum: 98
Type: Discrete
Decimal: 0
Start: 98
End: 101
Width: 4
Range: 0 - 98
Format: Numeric

Questions and instructions

Literal question
What is [NAME]'s average hourly earning rate if [NAME] were to use this time to work?
- USD
Categories
Value Category Cases
0 31
15.7%
0.2 1
0.5%
0.3 1
0.5%
0.4 1
0.5%
0.5 3
1.5%
0.75 1
0.5%
0.9 1
0.5%
1 39
19.8%
1.25 1
0.5%
1.4 1
0.5%
2 29
14.7%
3 14
7.1%
3.5 1
0.5%
4 3
1.5%
5 22
11.2%
6 1
0.5%
8 2
1%
9 1
0.5%
10 8
4.1%
12 1
0.5%
15 2
1%
20 9
4.6%
24 1
0.5%
25 2
1%
30 3
1.5%
32 1
0.5%
33 2
1%
36 1
0.5%
38 1
0.5%
40 1
0.5%
45 1
0.5%
48 2
1%
50 4
2%
70 1
0.5%
72 1
0.5%
75 3
1.5%
98 Don't know 0
0%
Sysmiss 1659
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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