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    Home / Central Data Catalog / WBG / WBG_KHM_2020_HFPS-IDP_V04_M / variable [F84]
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
89894
  • 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: r6february2022_idp_section00.dta

Overview

Valid: 812
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 3
0.4%
103 Phnum Srok 6
0.7%
104 Preah Netr Preah 3
0.4%
107 Thma Puok 2
0.2%
108 Svay Chek 4
0.5%
109 Malai 4
0.5%
110 Krong Paoy Paet 4
0.5%
201 Banan 22
2.7%
202 Thma Koul 10
1.2%
203 Krong Bat Dambang 2
0.2%
204 Bavel 4
0.5%
205 Aek Phnum 5
0.6%
206 Moung Ruessei 4
0.5%
207 Rotonak Mondol 7
0.9%
208 Sangkae 3
0.4%
209 Samlout 8
1%
210 Sampov Lun 6
0.7%
211 Phnom Proek 14
1.7%
212 Kamrieng 4
0.5%
213 Koas Krala 0
0%
214 Rukhak Kiri 7
0.9%
301 Batheay 4
0.5%
302 Chamkar Leu 23
2.8%
303 Cheung Prey 4
0.5%
305 Kampong Cham 1
0.1%
306 Kampong Siem 0
0%
307 Kang Meas 10
1.2%
308 Kaoh Soutin 8
1%
313 Prey Chhor 7
0.9%
314 Srei Santhor 3
0.4%
315 Stueng Trang 5
0.6%
401 Baribour 6
0.7%
403 Krong Kampong Chhnang 5
0.6%
404 Kampong Leaeng 2
0.2%
405 Kampong Tralach 2
0.2%
406 Rolea B'ier 5
0.6%
407 Sameakki Mean Chey 13
1.6%
408 Tuek Phos 5
0.6%
501 Basedth 4
0.5%
502 Krong Chbar Mon 0
0%
503 Kong Pisei 3
0.4%
504 Aoral 0
0%
505 Odongk 4
0.5%
506 Phnum Sruoch 0
0%
507 Samraong Tong 1
0.1%
508 Thpong 0
0%
601 Baray 12
1.5%
602 Kampong Svay 4
0.5%
603 Krong Stueng Saen 4
0.5%
604 Prasat Ballangk 3
0.4%
605 Prasat Sambour 3
0.4%
606 Sandan 1
0.1%
607 Santuk 18
2.2%
608 Stoung 11
1.4%
701 Angkor Chey 1
0.1%
702 Banteay Meas 3
0.4%
703 Chhuk 2
0.2%
704 Chum Kiri 1
0.1%
705 Dang Tong 7
0.9%
706 Kampong Trach 3
0.4%
707 Tuek Chhou 4
0.5%
708 Krong Kampot 2
0.2%
801 Kandal Stueng 1
0.1%
802 Kien Svay 15
1.8%
803 Khsach Kandal 0
0%
804 Kaoh Thum 0
0%
805 Leuk Daek 8
1%
806 Lvea Aem 0
0%
807 Mukh Kampul 0
0%
809 Popnhea Lueu 1
0.1%
810 S'ang 2
0.2%
811 Krong Ta Khmau 0
0%
901 Botum Sakor 2
0.2%
903 Kaoh Kong 1
0.1%
904 Krong Khemarak Phoumin 0
0%
905 Mondol Seima 2
0.2%
906 Srae Ambel 2
0.2%
907 Thma Bang 1
0.1%
1001 Chhloung 3
0.4%
1002 Krong Kracheh 2
0.2%
1003 Preaek Prasab 4
0.5%
1004 Sambour 12
1.5%
1005 Snuol 6
0.7%
1006 Chetr Borei 22
2.7%
1101 Kaev Seima 1
0.1%
1102 Kaoh Nheaek 7
0.9%
1103 Ou Reang 3
0.4%
1104 Pech Chreada 1
0.1%
1105 Krong Saen Monourom 1
0.1%
1205 Dangkao 0
0%
1206 Mean Chey 0
0%
1207 Ruessei Kaev 1
0.1%
1208 Saensokh 0
0%
1209 Pou Saenchey 1
0.1%
1210 Chrouy Changvar 2
0.2%
1211 Preaek Phnov 14
1.7%
1212 Chhbar Ampov 7
0.9%
1301 Chey Saen 4
0.5%
1302 Chhaeb 1
0.1%
1303 Choam Khsant 6
0.7%
1304 Kuleaen 3
0.4%
1305 Rovieng 1
0.1%
1306 Sangkom Thmei 5
0.6%
1307 Tbaeng Mean Chey 1
0.1%
1308 Krong Preah Vihear 26
3.2%
1401 Ba Phnum 0
0%
1402 Kamchay Mear 7
0.9%
1403 Kampong Trabaek 2
0.2%
1404 Kanhchriech 2
0.2%
1405 Me Sang 4
0.5%
1406 Peam Chor 1
0.1%
1407 Peam Ro 2
0.2%
1408 Pea Reang 3
0.4%
1409 Preah Sdach 5
0.6%
1410 Krong Prey Veaeng 0
0%
1411 Pou Rieng 2
0.2%
1412 Sithor Kandal 5
0.6%
1413 Svay Antor 10
1.2%
1501 Bakan 8
1%
1502 Kandieng 2
0.2%
1503 Krakor 6
0.7%
1504 Phnum Kravanh 2
0.2%
1505 Krong Pursat 4
0.5%
1506 Veal Veaeng 4
0.5%
1601 Andoung Meas 1
0.1%
1603 Bar Kaev 3
0.4%
1604 Koun Mom 1
0.1%
1605 Lumphat 4
0.5%
1606 Ou Chum 0
0%
1607 Ou Ya Dav 2
0.2%
1608 Ta Veaeng 1
0.1%
1609 Veun Sai 0
0%
1701 Angkor Chum 0
0%
1703 Banteay Srei 1
0.1%
1704 Chi Kraeng 2
0.2%
1706 Kralanh 0
0%
1707 Puok 8
1%
1709 Prasat Bakong 3
0.4%
1710 Krong Siem Reab 0
0%
1711 Soutr Nikom 6
0.7%
1712 Srei Snam 0
0%
1713 Svay Leu 7
0.9%
1714 Varin 0
0%
1802 Prey Nob 1
0.1%
1803 Stueng Hav 5
0.6%
1804 Kampong Seila 1
0.1%
1901 Sesan 0
0%
1902 Siem Bouk 3
0.4%
1903 Siem Pang 1
0.1%
1904 Krong Stueng Traeng 18
2.2%
1905 Thala Barivat 3
0.4%
2001 Chantrea 2
0.2%
2002 Kampong Rou 3
0.4%
2003 Rumduol 0
0%
2004 Romeas Haek 12
1.5%
2005 Svay Chrum 6
0.7%
2006 Krong Svay Rieng 4
0.5%
2007 Svay Teab 1
0.1%
2008 Krong Bavet 1
0.1%
2101 Angkor Borei 0
0%
2102 Bati 1
0.1%
2103 Borei Cholsar 1
0.1%
2104 Kiri Vong 3
0.4%
2105 Kaoh Andaet 0
0%
2106 Prey Kabbas 2
0.2%
2107 Samraong 3
0.4%
2109 Tram Kak 14
1.7%
2110 Treang 11
1.4%
2201 Anlong Veaeng 5
0.6%
2202 Banteay Ampil 5
0.6%
2203 Chong Kal 0
0%
2204 Krong Samraong 7
0.9%
2205 Trapeang Prasat 3
0.4%
2301 Damnak Chang'aeur 7
0.9%
2401 Krong Pailin 10
1.2%
2402 Sala Krau 1
0.1%
2501 Ponhea Kraek 4
0.5%
2502 Krouch Chhmar 3
0.4%
2503 Memot 13
1.6%
2505 Ponhea Kraek1 31
3.8%
2507 Tboung Khmum 34
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.
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