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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
58191
Downloads
528
  • 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 (s7q8_os)

Data file: r5march2021_idp_section07_1.dta

Overview

Valid: 1309
Invalid: -
Type: Discrete
Start: 13
End: 137
Width: 125
Range: -
Format: character

Questions and instructions

Literal question
Why income from agriculture decreased or increased? Other specify
Categories
Value Category Cases
1260
96.3%
ខ្វះខាតលម្លាំងពលកម្ម ដែលតម្រូវឱ្យជួលកម្មករមកធ្វើ 1
0.1%
គាត់ទើបប្រមូលផលលើកទី1 1
0.1%
គាត់ផ្អាក់ឈប់ធ្វើមួយឆ្នាំ ព្រោះសមាជិកក្នុងគ្រួសារគាត់ឈឺ 1
0.1%
ងាប់ច្រើន 1
0.1%
ចិញ្ចឹមមាន់ងាប់ច្រើន 1
0.1%
ចិញ្ចឹមមាន់បានច្រើន 1
0.1%
ចិញ្ចឹមមិនសូវបានមានងាប់ច្រើន 1
0.1%
ឈប់នេសាទព្រោះគ្មានទឹក 1
0.1%
ដដែល 1
0.1%
ដោយសារចិញ្ចឹមអត់សូវបានងាប់ច្រើន 1
0.1%
ដោយសារតែគាត់ចិញ្ចឹមមាន់មិនសូវបានមានមាន់ងាប់ច្រើនទើបគាត់មិនបានលក់សោះ 1
0.1%
ដោយសារបច្ចុប្បន្នផ្ទុះកូវិតអ្នកភូមិអត់ការងារធ្វើទើបមានគេទៅរើសអាចម៌គោយកទៅលក់ច្រើនទើបគាត់រើសអាចម៌គោបានតិចទើបយកលក់បានលុយក៏តិចដែរ 1
0.1%
ដំណាំខូចច្រើនប្រមូលផលបានតិច 1
0.1%
ដំណាំខូចដោយសារទឹកលិច 1
0.1%
ដំណាំមួយចំនួនធំត្រូវបានកាត់បំផ្លាញដោយសត្វល្អិត ជាហេតុបណ្ដាលអោយថយចុះនូវផលិតផល 1
0.1%
ដំណាំលូតលាស់ល្អប្រមូលផលបានច្រើនជាងឆ្នាំមុន។ 1
0.1%
ទទួល​បាន​ផល​តិច​ជាង​មុន​ 1
0.1%
ទិន្ធផលថយចុះ 1
0.1%
ទិន្នធ្លាក់ចុះ 1
0.1%
ទិន្នផលកើន 1
0.1%
ទិន្នផលទាប 1
0.1%
ទិន្នផលធ្លាក់ 1
0.1%
ទិន្នផលធ្លាក់ចុះ 2
0.2%
ទិន្នផលបានច្រើនជាងមុន 1
0.1%
ទឹកជំនន់ធ្វើអោយខូចស្រូវ 1
0.1%
ទើបតែចិញ្ចឹមមិនទាន់បានលក់ទេ 1
0.1%
នៅដដែល 2
0.2%
បានផលតិច 1
0.1%
បាន​ផលិត​តិច 1
0.1%
បាន​ផលិត​តិច​ជាង​មុន​ 1
0.1%
បាន​ផល​តិច​ 1
0.1%
ប្រមូលផលលើកទី១ 1
0.1%
ផលតិច 1
0.1%
មានភ្លៀងធ្លាក់អត់គ្រប់គ្រាន 1
0.1%
មាន់ងាប់ច្រើន 1
0.1%
រកត្រីមិនបានដូចមុន 1
0.1%
រកត្រីមិនសូវបាន 2
0.2%
សត្វងាប់ 5
0.4%
សត្វងាប់អាស់ច្រើន 1
0.1%
សត្វច្រើនជាងមុន 1
0.1%
ស្រូវ​អត់​បាន​ផល 1
0.1%
អស់ត្រី 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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