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
213404
Downloads
5746
- 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
Province (province)
Data file: r3october2020_idp_section00.dta
Overview
Valid:
1185
Invalid:
-
Minimum:
1
Maximum:
25
Type:
Discrete
Decimal:
0
Start:
13
End:
14
Width:
2
Range:
1 - 25
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Banteay Meanchey | 33 |
2.8%
|
| 2 | Battambang | 107 |
9%
|
| 3 | Kampong Cham | 76 |
6.4%
|
| 4 | Kampong Chhnang | 47 |
4%
|
| 5 | Kampong Speu | 26 |
2.2%
|
| 6 | Kampong Thom | 55 |
4.6%
|
| 7 | Kampot | 59 |
5%
|
| 8 | Kandal | 59 |
5%
|
| 9 | Koh Kong | 18 |
1.5%
|
| 10 | Kratie | 102 |
8.6%
|
| 11 | Mondul Kiri | 40 |
3.4%
|
| 12 | Phnom Penh | 51 |
4.3%
|
| 13 | Preah Vihear | 103 |
8.7%
|
| 14 | Prey Veng | 64 |
5.4%
|
| 15 | Pursat | 37 |
3.1%
|
| 16 | Ratanak Kiri | 26 |
2.2%
|
| 17 | Siemreap | 36 |
3%
|
| 18 | Preah Sihanouk | 15 |
1.3%
|
| 19 | Stung Treng | 31 |
2.6%
|
| 20 | Svay Rieng | 39 |
3.3%
|
| 21 | Takeo | 56 |
4.7%
|
| 22 | Otdar Meanchey | 21 |
1.8%
|
| 23 | Kep | 24 |
2%
|
| 24 | Pailin | 10 |
0.8%
|
| 25 | Tboung Khmum | 50 |
4.2%
|
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.