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    Home / Central Data Catalog / KHM_2020_HFPS-LSMS_V04_M / variable [F73]
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
52579
Downloads
531
  • 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

Commune/District (district)

Data file: r6february2022_cses_section00.dta

Overview

Valid: 1706
Invalid: -
Minimum: 102
Maximum: 2507
Type: Discrete
Decimal: 0
Start: 40
End: 43
Width: 4
Range: 102 - 2507
Format: Numeric

Questions and instructions

Categories
Value Category Cases
102 Mongkol Borei 11
0.6%
103 Phnum Srok 4
0.2%
104 Preah Netr Preah 12
0.7%
105 Ou Chrov 1
0.1%
106 Krong Serei Saophoan 18
1.1%
107 Thma Puok 7
0.4%
108 Svay Chek 4
0.2%
109 Malai 1
0.1%
110 Krong Paoy Paet 12
0.7%
201 Banan 9
0.5%
202 Thma Koul 9
0.5%
203 Krong Bat Dambang 23
1.3%
204 Bavel 2
0.1%
205 Aek Phnum 3
0.2%
206 Moung Ruessei 8
0.5%
207 Rotonak Mondol 5
0.3%
208 Sangkae 15
0.9%
209 Samlout 1
0.1%
210 Sampov Lun 10
0.6%
211 Phnom Proek 1
0.1%
212 Kamrieng 7
0.4%
213 Koas Krala 2
0.1%
214 Rukhak Kiri 2
0.1%
301 Batheay 7
0.4%
302 Chamkar Leu 13
0.8%
303 Cheung Prey 5
0.3%
305 Kampong Cham 4
0.2%
306 Kampong Siem 11
0.6%
307 Kang Meas 9
0.5%
308 Kaoh Soutin 4
0.2%
313 Prey Chhor 12
0.7%
314 Srei Santhor 10
0.6%
315 Stueng Trang 4
0.2%
401 Baribour 10
0.6%
402 Chol Kiri 5
0.3%
403 Krong Kampong Chhnang 14
0.8%
404 Kampong Leaeng 3
0.2%
405 Kampong Tralach 14
0.8%
406 Rolea B'ier 12
0.7%
407 Sameakki Mean Chey 4
0.2%
408 Tuek Phos 6
0.4%
501 Basedth 8
0.5%
502 Krong Chbar Mon 5
0.3%
503 Kong Pisei 10
0.6%
504 Aoral 3
0.2%
505 Odongk 5
0.3%
506 Phnum Sruoch 12
0.7%
507 Samraong Tong 12
0.7%
508 Thpong 5
0.3%
601 Baray 18
1.1%
602 Kampong Svay 6
0.4%
603 Krong Stueng Saen 13
0.8%
604 Prasat Ballangk 2
0.1%
605 Prasat Sambour 9
0.5%
606 Sandan 6
0.4%
607 Santuk 10
0.6%
608 Stoung 9
0.5%
701 Angkor Chey 12
0.7%
702 Banteay Meas 17
1%
703 Chhuk 7
0.4%
704 Chum Kiri 6
0.4%
705 Dang Tong 5
0.3%
706 Kampong Trach 14
0.8%
707 Tuek Chhou 19
1.1%
708 Krong Kampot 10
0.6%
801 Kandal Stueng 6
0.4%
802 Kien Svay 10
0.6%
803 Khsach Kandal 4
0.2%
804 Kaoh Thum 4
0.2%
805 Leuk Daek 3
0.2%
806 Lvea Aem 4
0.2%
807 Mukh Kampul 8
0.5%
808 Angk Snuol 9
0.5%
809 Popnhea Lueu 10
0.6%
810 S'ang 12
0.7%
811 Krong Ta Khmau 15
0.9%
901 Botum Sakor 11
0.6%
902 Kiri Sakor 4
0.2%
903 Kaoh Kong 1
0.1%
904 Krong Khemarak Phoumin 8
0.5%
905 Mondol Seima 4
0.2%
906 Srae Ambel 12
0.7%
907 Thma Bang 3
0.2%
1001 Chhloung 13
0.8%
1002 Krong Kracheh 10
0.6%
1003 Preaek Prasab 9
0.5%
1004 Sambour 10
0.6%
1005 Snuol 10
0.6%
1006 Chetr Borei 4
0.2%
1101 Kaev Seima 16
0.9%
1102 Kaoh Nheaek 6
0.4%
1103 Ou Reang 0
0%
1104 Pech Chreada 6
0.4%
1105 Krong Saen Monourom 11
0.6%
1201 Chamkar Mon 13
0.8%
1202 Doun Penh 9
0.5%
1203 Prampir Meakkakra 17
1%
1204 Tuol Kouk 20
1.2%
1205 Dangkao 22
1.3%
1206 Mean Chey 22
1.3%
1207 Ruessei Kaev 29
1.7%
1208 Saensokh 26
1.5%
1209 Pou Saenchey 33
1.9%
1210 Chrouy Changvar 10
0.6%
1211 Preaek Phnov 6
0.4%
1212 Chhbar Ampov 21
1.2%
1301 Chey Saen 5
0.3%
1302 Chhaeb 3
0.2%
1303 Choam Khsant 16
0.9%
1304 Kuleaen 9
0.5%
1305 Rovieng 6
0.4%
1306 Sangkom Thmei 0
0%
1307 Tbaeng Mean Chey 5
0.3%
1308 Krong Preah Vihear 7
0.4%
1401 Ba Phnum 2
0.1%
1402 Kamchay Mear 8
0.5%
1403 Kampong Trabaek 6
0.4%
1404 Kanhchriech 4
0.2%
1405 Me Sang 4
0.2%
1406 Peam Chor 1
0.1%
1407 Peam Ro 3
0.2%
1408 Pea Reang 5
0.3%
1409 Preah Sdach 8
0.5%
1410 Krong Prey Veaeng 3
0.2%
1411 Pou Rieng 4
0.2%
1412 Sithor Kandal 4
0.2%
1413 Svay Antor 12
0.7%
1501 Bakan 14
0.8%
1502 Kandieng 10
0.6%
1503 Krakor 8
0.5%
1504 Phnum Kravanh 12
0.7%
1505 Krong Pursat 15
0.9%
1506 Veal Veaeng 5
0.3%
1601 Andoung Meas 1
0.1%
1602 Krong Ban Lung 9
0.5%
1603 Bar Kaev 3
0.2%
1604 Koun Mom 9
0.5%
1605 Lumphat 1
0.1%
1606 Ou Chum 3
0.2%
1607 Ou Ya Dav 4
0.2%
1608 Ta Veaeng 3
0.2%
1609 Veun Sai 1
0.1%
1701 Angkor Chum 3
0.2%
1702 Angkor Thum 2
0.1%
1703 Banteay Srei 4
0.2%
1704 Chi Kraeng 7
0.4%
1706 Kralanh 4
0.2%
1707 Puok 11
0.6%
1709 Prasat Bakong 7
0.4%
1710 Krong Siem Reab 41
2.4%
1711 Soutr Nikom 10
0.6%
1712 Srei Snam 2
0.1%
1713 Svay Leu 2
0.1%
1714 Varin 3
0.2%
1801 Krong Preah Sihanouk 18
1.1%
1802 Prey Nob 12
0.7%
1803 Stueng Hav 7
0.4%
1804 Kampong Seila 4
0.2%
1901 Sesan 4
0.2%
1902 Siem Bouk 4
0.2%
1903 Siem Pang 1
0.1%
1904 Krong Stueng Traeng 13
0.8%
1905 Thala Barivat 7
0.4%
2001 Chantrea 8
0.5%
2002 Kampong Rou 3
0.2%
2003 Rumduol 3
0.2%
2004 Romeas Haek 13
0.8%
2005 Svay Chrum 22
1.3%
2006 Krong Svay Rieng 9
0.5%
2007 Svay Teab 8
0.5%
2008 Krong Bavet 9
0.5%
2101 Angkor Borei 2
0.1%
2102 Bati 8
0.5%
2103 Borei Cholsar 1
0.1%
2104 Kiri Vong 7
0.4%
2105 Kaoh Andaet 4
0.2%
2106 Prey Kabbas 4
0.2%
2107 Samraong 10
0.6%
2108 Krong Doun Kaev 1
0.1%
2109 Tram Kak 14
0.8%
2110 Treang 10
0.6%
2201 Anlong Veaeng 6
0.4%
2202 Banteay Ampil 7
0.4%
2203 Chong Kal 7
0.4%
2204 Krong Samraong 18
1.1%
2205 Trapeang Prasat 6
0.4%
2301 Damnak Chang'aeur 4
0.2%
2302 Krong Kaeb 16
0.9%
2401 Krong Pailin 29
1.7%
2402 Sala Krau 23
1.3%
2501 Krong Suong 12
0.7%
2502 Tboung Khmum 16
0.9%
2503 Ou Reang Ov 7
0.4%
2504 Krouch Chhmar 9
0.5%
2505 Dambae 4
0.2%
2506 Ponhea Kraek 18
1.1%
2507 Memot 21
1.2%
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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