Health Results-Based Financing Impact Evaluation 2014
Household Survey
Zimbabwe, 2011 - 2014
Get Microdata
Reference ID
ZWE_2014_HRBFIE-HH_v01_M
Producer(s)
Jed Friedman
Metadata
Created on
Oct 12, 2023
Last modified
Oct 12, 2023
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25602
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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
H233 how much are you willing to set aside until the person gets completely cu (h233jd)
Data file: inpatient_hh_final_HHpage21
Overview
Valid:
1826
Invalid:
10
Minimum:
-99
Maximum:
10000
Type:
Discrete
Decimal:
0
Start:
42
End:
46
Width:
5
Range:
-99 - 10000
Format:
Numeric
Questions and instructions
Literal question
If a person in your house needs care for the following illnesses and health conditions or services, how much are you willing to set aside until the person gets completely cured?
- Pneumonial/Kalaso (USD)
- Pneumonial/Kalaso (USD)
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -99 | Missing response | 0 |
0%
|
| 0 | 116 |
6.4%
|
|
| 1 | 39 |
2.1%
|
|
| 2 | 74 |
4.1%
|
|
| 2.5 | 1 |
0.1%
|
|
| 3 | 26 |
1.4%
|
|
| 4 | 12 |
0.7%
|
|
| 5 | 200 |
11%
|
|
| 6 | 12 |
0.7%
|
|
| 7 | 5 |
0.3%
|
|
| 10 | 329 |
18%
|
|
| 12 | 4 |
0.2%
|
|
| 15 | 42 |
2.3%
|
|
| 20 | 277 |
15.2%
|
|
| 25 | 18 |
1%
|
|
| 30 | 73 |
4%
|
|
| 35 | 5 |
0.3%
|
|
| 40 | 32 |
1.8%
|
|
| 45 | 1 |
0.1%
|
|
| 50 | 232 |
12.7%
|
|
| 60 | 12 |
0.7%
|
|
| 70 | 3 |
0.2%
|
|
| 75 | 1 |
0.1%
|
|
| 80 | 12 |
0.7%
|
|
| 100 | 144 |
7.9%
|
|
| 110 | 1 |
0.1%
|
|
| 120 | 6 |
0.3%
|
|
| 150 | 30 |
1.6%
|
|
| 180 | 3 |
0.2%
|
|
| 200 | 41 |
2.2%
|
|
| 250 | 7 |
0.4%
|
|
| 280 | 1 |
0.1%
|
|
| 300 | 14 |
0.8%
|
|
| 360 | 1 |
0.1%
|
|
| 400 | 5 |
0.3%
|
|
| 450 | 1 |
0.1%
|
|
| 500 | 14 |
0.8%
|
|
| 600 | 6 |
0.3%
|
|
| 700 | 3 |
0.2%
|
|
| 800 | 2 |
0.1%
|
|
| 900 | 1 |
0.1%
|
|
| 1000 | 10 |
0.5%
|
|
| 2000 | 3 |
0.2%
|
|
| 3000 | 3 |
0.2%
|
|
| 5000 | 1 |
0.1%
|
|
| 6000 | 1 |
0.1%
|
|
| 9000 | 1 |
0.1%
|
|
| 10000 | 1 |
0.1%
|
|
| Sysmiss | 10 |
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.