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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- 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
Province (province)
Data file: r7april2022_cses_section00.dta
Overview
Valid:
1698
Invalid:
-
Minimum:
1
Maximum:
25
Type:
Discrete
Decimal:
0
Start:
38
End:
39
Width:
2
Range:
1 - 25
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Banteay Meanchey | 51 |
3%
|
| 2 | Battambang | 98 |
5.8%
|
| 3 | Kampong Cham | 101 |
5.9%
|
| 4 | Kampong Chhnang | 61 |
3.6%
|
| 5 | Kampong Speu | 54 |
3.2%
|
| 6 | Kampong Thom | 74 |
4.4%
|
| 7 | Kampot | 88 |
5.2%
|
| 8 | Kandal | 72 |
4.2%
|
| 9 | Koh Kong | 43 |
2.5%
|
| 10 | Kratie | 70 |
4.1%
|
| 11 | Mondul Kiri | 37 |
2.2%
|
| 12 | Phnom Penh | 135 |
8%
|
| 13 | Preah Vihear | 61 |
3.6%
|
| 14 | Prey Veng | 85 |
5%
|
| 15 | Pursat | 59 |
3.5%
|
| 16 | Ratanak Kiri | 37 |
2.2%
|
| 17 | Siemreap | 84 |
4.9%
|
| 18 | Preah Sihanouk | 44 |
2.6%
|
| 19 | Stung Treng | 37 |
2.2%
|
| 20 | Svay Rieng | 90 |
5.3%
|
| 21 | Takeo | 64 |
3.8%
|
| 22 | Otdar Meanchey | 55 |
3.2%
|
| 23 | Kep | 24 |
1.4%
|
| 24 | Pailin | 62 |
3.7%
|
| 25 | Tboung Khmum | 112 |
6.6%
|
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.