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
2. Province/Capital (s01q02)
Data file: r1may2020_lsms_section00.dta
Overview
Valid:
700
Invalid:
-
Minimum:
1
Maximum:
25
Type:
Discrete
Decimal:
2
Start:
31
End:
35
Width:
5
Range:
1 - 25
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | បន្ទាយមានជ័យ / Banteay Meanchey | 39 |
5.6%
|
| 2 | បាត់ដំបង / Battambang | 47 |
6.7%
|
| 3 | កំពង់ចាម / Kampong Cham | 35 |
5%
|
| 4 | កំពង់ឆ្នាំង / Kampong Chhnang | 25 |
3.6%
|
| 5 | កំពង់ស្ពឺ / Kampong Speu | 27 |
3.9%
|
| 6 | កំពង់ធំ / Kampong Thom | 35 |
5%
|
| 7 | កំពត / Kampot | 37 |
5.3%
|
| 8 | កណ្ដាល / Kandal | 48 |
6.9%
|
| 9 | កោះកុង / Koh Kong | 20 |
2.9%
|
| 10 | ក្រចេះ / Kratie | 24 |
3.4%
|
| 11 | មណ្ឌលគិរី / Mondul Kiri | 9 |
1.3%
|
| 12 | ភ្នំពេញ / Phnom Penh | 60 |
8.6%
|
| 13 | ព្រះវិហារ / Preah Vihear | 22 |
3.1%
|
| 14 | ព្រៃវែង / Prey Veng | 24 |
3.4%
|
| 15 | ពោធិ៍សាត់ / Pursat | 39 |
5.6%
|
| 16 | រតនគិរី / Ratanak Kiri | 10 |
1.4%
|
| 17 | សៀមរាប / Siemreap | 33 |
4.7%
|
| 18 | ព្រះសីហនុ / Preah Sihanouk | 13 |
1.9%
|
| 19 | ស្ទឹងត្រែង / Stung Treng | 22 |
3.1%
|
| 20 | ស្វាយរៀង / Svay Rieng | 27 |
3.9%
|
| 21 | តាកែវ / Takeo | 31 |
4.4%
|
| 22 | ឧត្ដរមានជ័យ / Otdar Meanchey | 15 |
2.1%
|
| 23 | កែប / Kep | 0 |
0%
|
| 24 | ប៉ៃលិន / Pailin | 17 |
2.4%
|
| 25 | ត្បូងឃ្មុំ / Tboung Khmum | 41 |
5.9%
|
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.