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    Home / Central Data Catalog / KHM_2020_HFPS-IDP_V04_M / variable [F77]
central

COVID-19 High Frequency Phone Survey of Households 2020-2022
IDPoor

Cambodia, 2020 - 2022
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Reference ID
KHM_2020_HFPS-IDP_v04_M
Producer(s)
World Bank Group
Metadata
DDI/XML JSON
Created on
Mar 22, 2021
Last modified
Dec 22, 2022
Page views
56712
Downloads
508
  • Study Description
  • Data Dictionary
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  • Data files
  • r1june2020_idp_section00.dta
  • r1june2020_idp_section01.dta
  • r1june2020_idp_section02b.dta
  • r1june2020_idp_section02c.dta
  • r1june2020_idp_section03_1.dta
  • r1june2020_idp_section03_2.dta
  • r1june2020_idp_section04.dta
  • r1june2020_idp_section05.dta
  • r1june2020_idp_section06.dta
  • r1june2020_idp_section07.dta
  • r1june2020_idp_section10.dta
  • r1june2020_idp_section11_1.dta
  • r1june2020_idp_section11_2.dta
  • r1june2020_idp_section12.dta
  • r2august2020_idp_section00.dta
  • r2august2020_idp_section01.dta
  • r2august2020_idp_section02a.dta
  • r2august2020_idp_section02b.dta
  • r2august2020_idp_section02c.dta
  • r2august2020_idp_section02d.dta
  • r2august2020_idp_section02e.dta
  • r2august2020_idp_section05.dta
  • r2august2020_idp_section06.dta
  • r2august2020_idp_section07.dta
  • r2august2020_idp_section08.dta
  • r2august2020_idp_section11_1.dta
  • r2august2020_idp_section11_2.dta
  • r2august2020_idp_section11_3.dta
  • r2august2020_idp_section11a.dta
  • r2august2020_idp_section12.dta
  • r3october2020_idp_section00.dta
  • r3october2020_idp_section01.dta
  • r3october2020_idp_section02.dta
  • r3october2020_idp_section02a.dta
  • r3october2020_idp_section02b.dta
  • r3october2020_idp_section02c.dta
  • r3october2020_idp_section02d.dta
  • r3october2020_idp_section03.dta
  • r3october2020_idp_section05.dta
  • r3october2020_idp_section06.dta
  • r3october2020_idp_section07.dta
  • r3october2020_idp_section08.dta
  • r3october2020_idp_section11_1.dta
  • r3october2020_idp_section11_2.dta
  • r3october2020_idp_section11_3.dta
  • r3october2020_idp_section11a.dta
  • r3october2020_idp_section12.dta
  • r3october2020_idp_section13.dta
  • r4december2020_idp_section00.dta
  • r4december2020_idp_section01.dta
  • r4december2020_idp_section02.dta
  • r4december2020_idp_section02a.dta
  • r4december2020_idp_section02b.dta
  • r4december2020_idp_section02c.dta
  • r4december2020_idp_section02d.dta
  • r4december2020_idp_section05.dta
  • r4december2020_idp_section06.dta
  • r4december2020_idp_section07.dta
  • r4december2020_idp_section08.dta
  • r4december2020_idp_section10.dta
  • r4december2020_idp_section11_1.dta
  • r4december2020_idp_section11_2.dta
  • r4december2020_idp_section11_3.dta
  • r4december2020_idp_section11a.dta
  • r4december2020_idp_section12.dta
  • r4december2020_idp_section13.dta
  • r5march2021_idp_section00.dta
  • r5march2021_idp_section01.dta
  • r5march2021_idp_section02.dta
  • r5march2021_idp_section02a.dta
  • r5march2021_idp_section02b.dta
  • r5march2021_idp_section02c.dta
  • r5march2021_idp_section02d.dta
  • r5march2021_idp_section05.dta
  • r5march2021_idp_section06.dta
  • r5march2021_idp_section07.dta
  • r5march2021_idp_section07_1.dta
  • r5march2021_idp_section08.dta
  • r5march2021_idp_section11_1.dta
  • r5march2021_idp_section11_2.dta
  • r5march2021_idp_section11_3.dta
  • r5march2021_idp_section11a.dta
  • r5march2021_idp_section12.dta
  • r6february2022_idp_section00.dta
  • r6february2022_idp_section01.dta
  • r6february2022_idp_section02.dta
  • r6february2022_idp_section02c.dta
  • r6february2022_idp_section02d.dta
  • r6february2022_idp_section05.dta
  • r6february2022_idp_section06.dta
  • r6february2022_idp_section07.dta
  • r6february2022_idp_section08.dta
  • r6february2022_idp_section10.dta
  • r6february2022_idp_section11_1.dta
  • r6february2022_idp_section11_2.dta
  • r6february2022_idp_section11_3.dta
  • r6february2022_idp_section11a.dta
  • r6february2022_idp_section12.dta
  • r6february2022_idp_section14.dta
  • r6february2022_idp_section15_1.dta
  • r6february2022_idp_section15_2.dta
  • r7april2022_idp_section00.dta
  • r7april2022_idp_section01.dta
  • r7april2022_idp_section02.dta
  • r7april2022_idp_section02a.dta
  • r7april2022_idp_section02b.dta
  • r7april2022_idp_section02c.dta
  • r7april2022_idp_section02d.dta
  • r7april2022_idp_section05.dta
  • r7april2022_idp_section06.dta
  • r7april2022_idp_section07.dta
  • r7april2022_idp_section08.dta
  • r7april2022_idp_section10.dta
  • r7april2022_idp_section11_1.dta
  • r7april2022_idp_section11_2.dta
  • r7april2022_idp_section11_3.dta
  • r7april2022_idp_section11a.dta
  • r7april2022_idp_section12.dta
  • r7april2022_idp_section14_1.dta
  • r7april2022_idp_section14_2.dta
  • r7april2022_idp_section15_1.dta
  • r7april2022_idp_section15_2.dta

Specify the reasons (s7q11_os)

Data file: r5march2021_idp_section07_1.dta

Overview

Valid: 1309
Invalid: -
Type: Discrete
Start: 179
End: 247
Width: 69
Range: -
Format: character

Questions and instructions

Literal question
Which of the following factors contribute to lower expected farm income?
- Other specify
Categories
Value Category Cases
1268
96.9%
ការខ្វះខាតទឹកសម្រាប់ផ្គត់ផ្គង់ គឺពឹងផ្អែកតែនៅក្នុងរដូវវស្សាតែប៉ុណ្ណោះ 1
0.1%
ក្ដៅពេក សត្វងាប់អស់ 1
0.1%
ក្នុងមួយឆ្នាំ ធ្វើបានតែម្ដង 1
0.1%
ខូច​ច្រើន​ដោយ​សារ​ទឹក​ជំនន់​ ទឹកភ្លៀង​ 1
0.1%
ខ្វះ​ទឹក 2
0.2%
ខ្វះ​ទឹក​ 1
0.1%
ចិញ្ចឹមមិនសូវបានផល 1
0.1%
ដីអត់មានជាតិ 1
0.1%
ដីអត់មានជីជាតិ 3
0.2%
ដោយសារ​ទឹក​លិច​ខូច​ស្រូវ​ច្រើន​ 1
0.1%
ដោយ​លិច​ទឹក​ជំនន់​ 1
0.1%
ដោយ​សារ​ទឹក​ជំនន់​ទឹកភ្លៀង​លិច​ធ្វើ​ខូច​ខាត​ច្រើន​ 1
0.1%
ដោយ​សារ​ទឹក​ជំនន់​លិច​ខូច​ខាត​ច្រើន​ 1
0.1%
ដោយ​សារ​ទឹក​លិច​ខ្លាំង​ខូច​ខាត​ច្រើន​ 1
0.1%
តម្លៃលក់ចេញថោកជាងមុន 1
0.1%
តម្លៃអាចនិងប្រែប្រួលចុះថោកជាងមុន 1
0.1%
ទឹកជំនន់ 3
0.2%
ទឹកជំនន់លិចស្រូវ 1
0.1%
បាន​ផល​តិច​ 1
0.1%
ពីព្រោះវាជារដូវប្រាំងមិនមានទឹកគ្រប់គ្រាន់នៅក្នុងការដាំដុះ 1
0.1%
មានភ្លៀងធ្លាក់អត់គ្រប់គ្រាន់ 1
0.1%
មេគ្រួសារជួបគ្រោះថ្នាក់ចរាចរណ៍ 1
0.1%
រក​ត្រី​មិន​សូវ​បាន​ដោយ.ទឹក​គក 1
0.1%
លក់បានថោក 1
0.1%
ស្រូវជួបជំងឺ 1
0.1%
អត់ទឹកភ្លៀង 2
0.2%
អត់បានទៅមើលថែ 1
0.1%
អត់មានទឹក 2
0.2%
អត់មានទឹកភ្លៀង 5
0.4%
អាកាសធាតុ 1
0.1%
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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