COVID-19 High Frequency Phone Survey of Households 2020-2022
IDPoor
Cambodia, 2020 - 2022
Get Microdata
Reference ID
KHM_2020_HFPS-IDP_v04_M
Producer(s)
World Bank Group
Collection(s)
Metadata
Created on
Mar 03, 2021
Last modified
May 28, 2021
Page views
31257
Downloads
1906
- 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
0=Phnom Penh and urban areas, 1=Plain, 2=Tonle Sap, 3=Coastal, 4=Plateau and Mou (region)
Data file: r2august2020_idp_section00.dta
Overview
Valid:
1055
Invalid:
-
Minimum:
0
Maximum:
4
Type:
Discrete
Decimal:
0
Start:
26
End:
26
Width:
1
Range:
0 - 4
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | Phnom Penh and urban areas | 92 |
8.7%
|
| 1 | Plain | 294 |
27.9%
|
| 2 | Tonle Sap | 288 |
27.3%
|
| 3 | Coastal | 97 |
9.2%
|
| 4 | Plateau and Mountain | 284 |
26.9%
|
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.