COVID-19 High Frequency Phone Survey of Households 2020-2022, CSES
Cambodia, 2020 - 2022
Get MicrodataCreated on
Mar 22, 2021
Last modified
Dec 22, 2022
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30358
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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
Zone (zone)
Data file: r7april2022_cses_section12.dta
Overview
Valid:
1698
Invalid:
-
Minimum:
0
Maximum:
4
Type:
Discrete
Decimal:
0
Start:
12
End:
12
Width:
1
Range:
0 - 4
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | Phnom Penh | 135 |
8%
|
| 1 | Plain | 524 |
30.9%
|
| 2 | Tonle Sap | 427 |
25.1%
|
| 3 | Coastal | 199 |
11.7%
|
| 4 | Plateau/Mountain | 413 |
24.3%
|
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.