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    Home / Central Data Catalog / HFPS / KHM_2020_HFPS-LSMS_V04_M / variable [F91]
hfps

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
DOI
https://doi.org/10.48529/m4bs-r206
Producer(s)
World Bank Group
Collection(s)
High-Frequency Phone Surveys
Metadata
Documentation in PDF DDI/XML JSON
Study website
Created on
Mar 03, 2021
Last modified
Mar 05, 2021
Page views
208858
Downloads
3901
  • Study Description
  • Data Description
  • Documentation
  • 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: r7april2022_cses_section00.dta

Overview

Valid: 1698
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 7
0.4%
103 Phnum Srok 6
0.4%
104 Preah Netr Preah 8
0.5%
105 Ou Chrov 2
0.1%
106 Krong Serei Saophoan 11
0.6%
107 Thma Puok 8
0.5%
108 Svay Chek 3
0.2%
109 Malai 1
0.1%
110 Krong Paoy Paet 5
0.3%
201 Banan 9
0.5%
202 Thma Koul 13
0.8%
203 Krong Bat Dambang 17
1%
204 Bavel 5
0.3%
205 Aek Phnum 4
0.2%
206 Moung Ruessei 7
0.4%
207 Rotonak Mondol 3
0.2%
208 Sangkae 12
0.7%
209 Samlout 1
0.1%
210 Sampov Lun 12
0.7%
211 Phnom Proek 1
0.1%
212 Kamrieng 9
0.5%
213 Koas Krala 3
0.2%
214 Rukhak Kiri 2
0.1%
301 Batheay 6
0.4%
302 Chamkar Leu 21
1.2%
303 Cheung Prey 6
0.4%
305 Kampong Cham 3
0.2%
306 Kampong Siem 11
0.6%
307 Kang Meas 14
0.8%
308 Kaoh Soutin 6
0.4%
313 Prey Chhor 18
1.1%
314 Srei Santhor 9
0.5%
315 Stueng Trang 7
0.4%
401 Baribour 11
0.6%
402 Chol Kiri 8
0.5%
403 Krong Kampong Chhnang 8
0.5%
404 Kampong Leaeng 3
0.2%
405 Kampong Tralach 10
0.6%
406 Rolea B'ier 13
0.8%
407 Sameakki Mean Chey 5
0.3%
408 Tuek Phos 3
0.2%
501 Basedth 11
0.6%
502 Krong Chbar Mon 5
0.3%
503 Kong Pisei 7
0.4%
504 Aoral 1
0.1%
505 Odongk 6
0.4%
506 Phnum Sruoch 8
0.5%
507 Samraong Tong 12
0.7%
508 Thpong 4
0.2%
601 Baray 19
1.1%
602 Kampong Svay 5
0.3%
603 Krong Stueng Saen 10
0.6%
604 Prasat Ballangk 2
0.1%
605 Prasat Sambour 6
0.4%
606 Sandan 9
0.5%
607 Santuk 14
0.8%
608 Stoung 9
0.5%
701 Angkor Chey 10
0.6%
702 Banteay Meas 17
1%
703 Chhuk 14
0.8%
704 Chum Kiri 6
0.4%
705 Dang Tong 4
0.2%
706 Kampong Trach 11
0.6%
707 Tuek Chhou 15
0.9%
708 Krong Kampot 11
0.6%
801 Kandal Stueng 3
0.2%
802 Kien Svay 10
0.6%
803 Khsach Kandal 3
0.2%
804 Kaoh Thum 7
0.4%
805 Leuk Daek 3
0.2%
806 Lvea Aem 4
0.2%
807 Mukh Kampul 6
0.4%
808 Angk Snuol 7
0.4%
809 Popnhea Lueu 7
0.4%
810 S'ang 12
0.7%
811 Krong Ta Khmau 10
0.6%
901 Botum Sakor 6
0.4%
902 Kiri Sakor 5
0.3%
903 Kaoh Kong 0
0%
904 Krong Khemarak Phoumin 9
0.5%
905 Mondol Seima 4
0.2%
906 Srae Ambel 15
0.9%
907 Thma Bang 4
0.2%
1001 Chhloung 11
0.6%
1002 Krong Kracheh 13
0.8%
1003 Preaek Prasab 11
0.6%
1004 Sambour 15
0.9%
1005 Snuol 13
0.8%
1006 Chetr Borei 7
0.4%
1101 Kaev Seima 11
0.6%
1102 Kaoh Nheaek 8
0.5%
1103 Ou Reang 1
0.1%
1104 Pech Chreada 9
0.5%
1105 Krong Saen Monourom 8
0.5%
1201 Chamkar Mon 7
0.4%
1202 Doun Penh 5
0.3%
1203 Prampir Meakkakra 8
0.5%
1204 Tuol Kouk 11
0.6%
1205 Dangkao 18
1.1%
1206 Mean Chey 14
0.8%
1207 Ruessei Kaev 17
1%
1208 Saensokh 17
1%
1209 Pou Saenchey 16
0.9%
1210 Chrouy Changvar 7
0.4%
1211 Preaek Phnov 4
0.2%
1212 Chhbar Ampov 11
0.6%
1301 Chey Saen 5
0.3%
1302 Chhaeb 2
0.1%
1303 Choam Khsant 16
0.9%
1304 Kuleaen 11
0.6%
1305 Rovieng 10
0.6%
1306 Sangkom Thmei 2
0.1%
1307 Tbaeng Mean Chey 4
0.2%
1308 Krong Preah Vihear 11
0.6%
1401 Ba Phnum 1
0.1%
1402 Kamchay Mear 13
0.8%
1403 Kampong Trabaek 9
0.5%
1404 Kanhchriech 5
0.3%
1405 Me Sang 7
0.4%
1406 Peam Chor 3
0.2%
1407 Peam Ro 1
0.1%
1408 Pea Reang 7
0.4%
1409 Preah Sdach 17
1%
1410 Krong Prey Veaeng 2
0.1%
1411 Pou Rieng 6
0.4%
1412 Sithor Kandal 5
0.3%
1413 Svay Antor 9
0.5%
1501 Bakan 15
0.9%
1502 Kandieng 7
0.4%
1503 Krakor 11
0.6%
1504 Phnum Kravanh 9
0.5%
1505 Krong Pursat 11
0.6%
1506 Veal Veaeng 6
0.4%
1601 Andoung Meas 1
0.1%
1602 Krong Ban Lung 9
0.5%
1603 Bar Kaev 2
0.1%
1604 Koun Mom 9
0.5%
1605 Lumphat 2
0.1%
1606 Ou Chum 7
0.4%
1607 Ou Ya Dav 3
0.2%
1608 Ta Veaeng 3
0.2%
1609 Veun Sai 1
0.1%
1701 Angkor Chum 5
0.3%
1702 Angkor Thum 2
0.1%
1703 Banteay Srei 3
0.2%
1704 Chi Kraeng 10
0.6%
1706 Kralanh 5
0.3%
1707 Puok 11
0.6%
1709 Prasat Bakong 8
0.5%
1710 Krong Siem Reab 25
1.5%
1711 Soutr Nikom 10
0.6%
1712 Srei Snam 1
0.1%
1713 Svay Leu 1
0.1%
1714 Varin 3
0.2%
1801 Krong Preah Sihanouk 24
1.4%
1802 Prey Nob 10
0.6%
1803 Stueng Hav 6
0.4%
1804 Kampong Seila 4
0.2%
1901 Sesan 3
0.2%
1902 Siem Bouk 4
0.2%
1903 Siem Pang 2
0.1%
1904 Krong Stueng Traeng 17
1%
1905 Thala Barivat 11
0.6%
2001 Chantrea 7
0.4%
2002 Kampong Rou 8
0.5%
2003 Rumduol 7
0.4%
2004 Romeas Haek 19
1.1%
2005 Svay Chrum 22
1.3%
2006 Krong Svay Rieng 9
0.5%
2007 Svay Teab 12
0.7%
2008 Krong Bavet 6
0.4%
2101 Angkor Borei 2
0.1%
2102 Bati 4
0.2%
2103 Borei Cholsar 2
0.1%
2104 Kiri Vong 9
0.5%
2105 Kaoh Andaet 3
0.2%
2106 Prey Kabbas 6
0.4%
2107 Samraong 10
0.6%
2108 Krong Doun Kaev 1
0.1%
2109 Tram Kak 15
0.9%
2110 Treang 12
0.7%
2201 Anlong Veaeng 8
0.5%
2202 Banteay Ampil 10
0.6%
2203 Chong Kal 5
0.3%
2204 Krong Samraong 26
1.5%
2205 Trapeang Prasat 6
0.4%
2301 Damnak Chang'aeur 8
0.5%
2302 Krong Kaeb 16
0.9%
2401 Krong Pailin 37
2.2%
2402 Sala Krau 25
1.5%
2501 Krong Suong 11
0.6%
2502 Tboung Khmum 17
1%
2503 Ou Reang Ov 13
0.8%
2504 Krouch Chhmar 14
0.8%
2505 Dambae 4
0.2%
2506 Ponhea Kraek 25
1.5%
2507 Memot 28
1.6%
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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