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    Home / Central Data Catalog / WBG / WBG_KHM_2020_HFPS-IDP_V04_M / variable [F31]
WBG

COVID-19 High Frequency Phone Survey of Households 2020-2022
IDPoor

Cambodia, 2020 - 2022
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Reference ID
WBG_KHM_2020_HFPS-IDP_v04_M
Producer(s)
World Bank Group
Collections
The World Bank Microdata Library Asia Pacific
Metadata
Documentation in PDF DDI/XML JSON
Created on
Apr 03, 2023
Last modified
Apr 03, 2023
Page views
89862
  • Study Description
  • Data Dictionary
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  • 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

Commune/District (district)

Data file: r3october2020_idp_section00.dta

Overview

Valid: 1185
Invalid: -
Minimum: 102
Maximum: 2507
Type: Discrete
Decimal: 0
Start: 15
End: 18
Width: 4
Range: 102 - 2507
Format: Numeric

Questions and instructions

Categories
Value Category Cases
102 Mongkol Borei 4
0.3%
103 Phnum Srok 6
0.5%
104 Preah Netr Preah 3
0.3%
107 Thma Puok 3
0.3%
108 Svay Chek 3
0.3%
109 Malai 5
0.4%
110 Krong Paoy Paet 9
0.8%
201 Banan 25
2.1%
202 Thma Koul 10
0.8%
203 Krong Bat Dambang 7
0.6%
204 Bavel 7
0.6%
205 Aek Phnum 5
0.4%
206 Moung Ruessei 4
0.3%
207 Rotonak Mondol 9
0.8%
208 Sangkae 4
0.3%
209 Samlout 6
0.5%
210 Sampov Lun 6
0.5%
211 Phnom Proek 14
1.2%
212 Kamrieng 4
0.3%
213 Koas Krala 1
0.1%
214 Rukhak Kiri 5
0.4%
301 Batheay 4
0.3%
302 Chamkar Leu 34
2.9%
303 Cheung Prey 3
0.3%
305 Kampong Cham 2
0.2%
306 Kampong Siem 1
0.1%
307 Kang Meas 8
0.7%
308 Kaoh Soutin 8
0.7%
313 Prey Chhor 10
0.8%
314 Srei Santhor 1
0.1%
315 Stueng Trang 5
0.4%
401 Baribour 7
0.6%
403 Krong Kampong Chhnang 8
0.7%
404 Kampong Leaeng 3
0.3%
405 Kampong Tralach 2
0.2%
406 Rolea B'ier 8
0.7%
407 Sameakki Mean Chey 15
1.3%
408 Tuek Phos 4
0.3%
501 Basedth 10
0.8%
502 Krong Chbar Mon 0
0%
503 Kong Pisei 8
0.7%
504 Aoral 0
0%
505 Odongk 3
0.3%
506 Phnum Sruoch 0
0%
507 Samraong Tong 5
0.4%
508 Thpong 0
0%
601 Baray 14
1.2%
602 Kampong Svay 6
0.5%
603 Krong Stueng Saen 5
0.4%
604 Prasat Ballangk 3
0.3%
605 Prasat Sambour 5
0.4%
606 Sandan 2
0.2%
607 Santuk 14
1.2%
608 Stoung 6
0.5%
701 Angkor Chey 7
0.6%
702 Banteay Meas 9
0.8%
703 Chhuk 3
0.3%
704 Chum Kiri 3
0.3%
705 Dang Tong 15
1.3%
706 Kampong Trach 10
0.8%
707 Tuek Chhou 9
0.8%
708 Krong Kampot 3
0.3%
801 Kandal Stueng 2
0.2%
802 Kien Svay 34
2.9%
803 Khsach Kandal 3
0.3%
804 Kaoh Thum 3
0.3%
805 Leuk Daek 7
0.6%
806 Lvea Aem 3
0.3%
807 Mukh Kampul 2
0.2%
809 Popnhea Lueu 2
0.2%
810 S'ang 2
0.2%
811 Krong Ta Khmau 1
0.1%
901 Botum Sakor 4
0.3%
903 Kaoh Kong 1
0.1%
904 Krong Khemarak Phoumin 3
0.3%
905 Mondol Seima 1
0.1%
906 Srae Ambel 6
0.5%
907 Thma Bang 3
0.3%
1001 Chhloung 6
0.5%
1002 Krong Kracheh 4
0.3%
1003 Preaek Prasab 11
0.9%
1004 Sambour 23
1.9%
1005 Snuol 14
1.2%
1006 Chetr Borei 44
3.7%
1101 Kaev Seima 4
0.3%
1102 Kaoh Nheaek 11
0.9%
1103 Ou Reang 11
0.9%
1104 Pech Chreada 6
0.5%
1105 Krong Saen Monourom 8
0.7%
1205 Dangkao 0
0%
1206 Mean Chey 0
0%
1207 Ruessei Kaev 4
0.3%
1208 Saensokh 1
0.1%
1209 Pou Saenchey 4
0.3%
1210 Chrouy Changvar 4
0.3%
1211 Preaek Phnov 26
2.2%
1212 Chhbar Ampov 12
1%
1301 Chey Saen 11
0.9%
1302 Chhaeb 3
0.3%
1303 Choam Khsant 12
1%
1304 Kuleaen 9
0.8%
1305 Rovieng 2
0.2%
1306 Sangkom Thmei 9
0.8%
1307 Tbaeng Mean Chey 4
0.3%
1308 Krong Preah Vihear 53
4.5%
1401 Ba Phnum 2
0.2%
1402 Kamchay Mear 10
0.8%
1403 Kampong Trabaek 7
0.6%
1404 Kanhchriech 3
0.3%
1405 Me Sang 4
0.3%
1406 Peam Chor 2
0.2%
1407 Peam Ro 2
0.2%
1408 Pea Reang 5
0.4%
1409 Preah Sdach 8
0.7%
1410 Krong Prey Veaeng 2
0.2%
1411 Pou Rieng 3
0.3%
1412 Sithor Kandal 4
0.3%
1413 Svay Antor 12
1%
1501 Bakan 6
0.5%
1502 Kandieng 3
0.3%
1503 Krakor 15
1.3%
1504 Phnum Kravanh 3
0.3%
1505 Krong Pursat 5
0.4%
1506 Veal Veaeng 5
0.4%
1601 Andoung Meas 3
0.3%
1603 Bar Kaev 4
0.3%
1604 Koun Mom 4
0.3%
1605 Lumphat 6
0.5%
1606 Ou Chum 1
0.1%
1607 Ou Ya Dav 4
0.3%
1608 Ta Veaeng 3
0.3%
1609 Veun Sai 1
0.1%
1701 Angkor Chum 0
0%
1703 Banteay Srei 1
0.1%
1704 Chi Kraeng 2
0.2%
1706 Kralanh 1
0.1%
1707 Puok 8
0.7%
1709 Prasat Bakong 2
0.2%
1710 Krong Siem Reab 1
0.1%
1711 Soutr Nikom 11
0.9%
1712 Srei Snam 1
0.1%
1713 Svay Leu 9
0.8%
1714 Varin 0
0%
1802 Prey Nob 6
0.5%
1803 Stueng Hav 8
0.7%
1804 Kampong Seila 1
0.1%
1901 Sesan 1
0.1%
1902 Siem Bouk 3
0.3%
1903 Siem Pang 1
0.1%
1904 Krong Stueng Traeng 19
1.6%
1905 Thala Barivat 7
0.6%
2001 Chantrea 3
0.3%
2002 Kampong Rou 2
0.2%
2003 Rumduol 1
0.1%
2004 Romeas Haek 18
1.5%
2005 Svay Chrum 9
0.8%
2006 Krong Svay Rieng 2
0.2%
2007 Svay Teab 3
0.3%
2008 Krong Bavet 1
0.1%
2101 Angkor Borei 5
0.4%
2102 Bati 0
0%
2103 Borei Cholsar 3
0.3%
2104 Kiri Vong 9
0.8%
2105 Kaoh Andaet 0
0%
2106 Prey Kabbas 6
0.5%
2107 Samraong 2
0.2%
2109 Tram Kak 20
1.7%
2110 Treang 11
0.9%
2201 Anlong Veaeng 3
0.3%
2202 Banteay Ampil 4
0.3%
2203 Chong Kal 0
0%
2204 Krong Samraong 13
1.1%
2205 Trapeang Prasat 1
0.1%
2301 Damnak Chang'aeur 24
2%
2401 Krong Pailin 7
0.6%
2402 Sala Krau 3
0.3%
2501 Ponhea Kraek 2
0.2%
2502 Krouch Chhmar 2
0.2%
2503 Memot 9
0.8%
2505 Ponhea Kraek1 22
1.9%
2507 Tboung Khmum 15
1.3%
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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