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    Home / Central Data Catalog / KHM_2020_HFPS-LSMS_V04_M / variable [F14]
central

COVID-19 High Frequency Phone Survey of Households 2020-2022, CSES

Cambodia, 2020 - 2022
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Reference ID
KHM_2020_HFPS-LSMS_v04_M
Producer(s)
World Bank Group
Metadata
DDI/XML JSON
Created on
Mar 22, 2021
Last modified
Dec 22, 2022
Page views
52349
Downloads
530
  • Study Description
  • Data Dictionary
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  • Get Microdata
  • 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: r2august2020_lsms_section00.dta

Overview

Valid: 612
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 31
5.1%
2 បាត់ដំបង / Battambang 41
6.7%
3 កំពង់ចាម / Kampong Cham 29
4.7%
4 កំពង់ឆ្នាំង / Kampong Chhnang 21
3.4%
5 កំពង់ស្ពឺ / Kampong Speu 25
4.1%
6 កំពង់ធំ / Kampong Thom 34
5.6%
7 កំពត / Kampot 35
5.7%
8 កណ្ដាល / Kandal 47
7.7%
9 កោះកុង / Koh Kong 18
2.9%
10 ក្រចេះ / Kratie 21
3.4%
11 មណ្ឌលគិរី / Mondul Kiri 9
1.5%
12 ភ្នំពេញ / Phnom Penh 48
7.8%
13 ព្រះវិហារ / Preah Vihear 19
3.1%
14 ព្រៃវែង / Prey Veng 21
3.4%
15 ពោធិ៍សាត់ / Pursat 33
5.4%
16 រតនគិរី / Ratanak Kiri 8
1.3%
17 សៀមរាប / Siemreap 29
4.7%
18 ព្រះសីហនុ / Preah Sihanouk 12
2%
19 ស្ទឹងត្រែង / Stung Treng 20
3.3%
20 ស្វាយរៀង / Svay Rieng 24
3.9%
21 តាកែវ / Takeo 28
4.6%
22 ឧត្ដរមានជ័យ / Otdar Meanchey 14
2.3%
23 កែប / Kep 0
0%
24 ប៉ៃលិន / Pailin 13
2.1%
25 ត្បូងឃ្មុំ / Tboung Khmum 32
5.2%
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.
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