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KHM_2020_HFPS-LSMS_V04_M
COVID-19 High Frequency Phone Survey of Households 2020-2022, CSES
Cambodia
,
2020 - 2022
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Reference ID
KHM_2020_HFPS-LSMS_v04_M
Producer(s)
World Bank Group
Metadata
DDI/XML
JSON
Created on
Mar 22, 2021
Last modified
Dec 22, 2022
Page views
33766
Downloads
361
Study Description
Data Dictionary
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Data files
r1may2020_lsms_section00.dta
r1may2020_lsms_section01.dta
r1may2020_lsms_section02.dta
r1may2020_lsms_section03_1.dta
r1may2020_lsms_section03_2.dta
r1may2020_lsms_section04.dta
r1may2020_lsms_section05.dta
r1may2020_lsms_section06.dta
r1may2020_lsms_section07.dta
r1may2020_lsms_section10.dta
r1may2020_lsms_section11_1.dta
r1may2020_lsms_section11_2.dta
r1may2020_lsms_section12.dta
r2august2020_lsms_section00.dta
r2august2020_lsms_section01.dta
r2august2020_lsms_section02.dta
r2august2020_lsms_section02c.dta
r2august2020_lsms_section02d.dta
r2august2020_lsms_section02e.dta
r2august2020_lsms_section05.dta
r2august2020_lsms_section06.dta
r2august2020_lsms_section07.dta
r2august2020_lsms_section08.dta
r2august2020_lsms_section11_1.dta
r2august2020_lsms_section11_2.dta
r2august2020_lsms_section11_3.dta
r2august2020_lsms_section11a.dta
r2august2020_lsms_section12.dta
r3october2020_lsms_section00.dta
r3october2020_lsms_section01.dta
r3october2020_lsms_section02.dta
r3october2020_lsms_section02c.dta
r3october2020_lsms_section03.dta
r3october2020_lsms_section05.dta
r3october2020_lsms_section06.dta
r3october2020_lsms_section07.dta
r3october2020_lsms_section08.dta
r3october2020_lsms_section11_1.dta
r3october2020_lsms_section11_2.dta
r3october2020_lsms_section11_3.dta
r3october2020_lsms_section11a.dta
r3october2020_lsms_section12.dta
r3october2020_lsms_section13.dta
r4december2020_lsms_section00.dta
r4december2020_lsms_section01.dta
r4december2020_lsms_section02.dta
r4december2020_lsms_section02c.dta
r4december2020_lsms_section05.dta
r4december2020_lsms_section06.dta
r4december2020_lsms_section07.dta
r4december2020_lsms_section08.dta
r4december2020_lsms_section10.dta
r4december2020_lsms_section11_1.dta
r4december2020_lsms_section11_2.dta
r4december2020_lsms_section11_3.dta
r4december2020_lsms_section11a.dta
r4december2020_lsms_section12.dta
r4december2020_lsms_section13.dta
r5march2021_lsms_section00.dta
r5march2021_lsms_section01.dta
r5march2021_lsms_section02.dta
r5march2021_lsms_section02c.dta
r5march2021_lsms_section05.dta
r5march2021_lsms_section06.dta
r5march2021_lsms_section07.dta
r5march2021_lsms_section07_1.dta
r5march2021_lsms_section08.dta
r5march2021_lsms_section11_1.dta
r5march2021_lsms_section11_2.dta
r5march2021_lsms_section11_3.dta
r5march2021_lsms_section11a.dta
r5march2021_lsms_section12.dta
r6february2022_cses_section00.dta
r6february2022_cses_section01.dta
r6february2022_cses_section02.dta
r6february2022_cses_section02c.dta
r6february2022_cses_section02d.dta
r6february2022_cses_section05.dta
r6february2022_cses_section06.dta
r6february2022_cses_section07.dta
r6february2022_cses_section08.dta
r6february2022_cses_section10.dta
r6february2022_cses_section11_1.dta
r6february2022_cses_section11_2.dta
r6february2022_cses_section11_3.dta
r6february2022_cses_section11a.dta
r6february2022_cses_section12.dta
r6february2022_cses_section14.dta
r6february2022_cses_section15_1.dta
r6february2022_cses_section15_2.dta
r7april2022_cses_section00.dta
r7april2022_cses_section01.dta
r7april2022_cses_section02.dta
r7april2022_cses_section02c.dta
r7april2022_cses_section02d.dta
r7april2022_cses_section05.dta
r7april2022_cses_section06.dta
r7april2022_cses_section07.dta
r7april2022_cses_section08.dta
r7april2022_cses_section10.dta
r7april2022_cses_section11_1.dta
r7april2022_cses_section11_2.dta
r7april2022_cses_section11_3.dta
r7april2022_cses_section11a.dta
r7april2022_cses_section12.dta
r7april2022_cses_section14_1.dta
r7april2022_cses_section14_2.dta
r7april2022_cses_section15_1.dta
r7april2022_cses_section15_2.dta
Data file: r5march2021_lsms_section00.dta
COVID-19 LSMS, Round 5 data:
- Section 00
Cases:
378
Variables:
9
Variables
interview__key
Interview key (identifier in XX-XX-XX-XX format)
zone
Zone
sector
Urban/Rural
hhidlsms
interview__key in LSMS+ (1512)
hhweight_adj
final sampling weight
s01q02
2. Province/Capital
s01q03
3. District/City/Khan
s01q04
4. Commune/Sankat
s01q05
5. Sample Village/Mondol
Total: 9
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