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
Coping ID (coping__id)
Data file: r1may2020_lsms_section10.dta
Overview
Valid:
11185
Invalid:
-
Minimum:
1
Maximum:
16
Type:
Discrete
Decimal:
0
Start:
12
End:
13
Width:
2
Range:
1 - 16
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Sale of assets (agricultue and non-agriculture) | 698 |
6.2%
|
| 2 | Engaged in additional income generating activities | 698 |
6.2%
|
| 3 | Received assistance from Friends & family | 698 |
6.2%
|
| 4 | Borrowed from friends & family | 699 |
6.2%
|
| 5 | Took a loan from a financial institution | 700 |
6.3%
|
| 6 | Credited purchases | 700 |
6.3%
|
| 7 | Delayed payment obligations | 699 |
6.2%
|
| 8 | Sold harvest in advance | 700 |
6.3%
|
| 9 | Reduced food consumption | 700 |
6.3%
|
| 10 | Reduced non-food Consumption | 699 |
6.2%
|
| 11 | Relied on savings | 700 |
6.3%
|
| 12 | Received assistance from NGO | 700 |
6.3%
|
| 13 | Took advanced payment from employer | 700 |
6.3%
|
| 14 | Received assistance from government | 699 |
6.2%
|
| 15 | Was covered by insurance policy | 697 |
6.2%
|
| 16 | Engaged children in taking on responsibility of household chores | 698 |
6.2%
|
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.