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    Home / Central Data Catalog / HFPS / KHM_2020_HFPS-IDP_V04_M / variable [F15]
hfps

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

Cambodia, 2020 - 2022
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Reference ID
KHM_2020_HFPS-IDP_v04_M
DOI
https://doi.org/10.48529/zej6-4g85
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
May 28, 2021
Page views
159398
Downloads
3741
  • Study Description
  • Data Description
  • Documentation
  • Get Microdata
  • 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: r2august2020_idp_section00.dta

Overview

Valid: 1055
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
0.4%
103 Phnum Srok 4
0.4%
104 Preah Netr Preah 4
0.4%
107 Thma Puok 4
0.4%
108 Svay Chek 2
0.2%
109 Malai 8
0.8%
110 Krong Paoy Paet 6
0.6%
201 Banan 22
2.1%
202 Thma Koul 7
0.7%
203 Krong Bat Dambang 5
0.5%
204 Bavel 7
0.7%
205 Aek Phnum 4
0.4%
206 Moung Ruessei 4
0.4%
207 Rotonak Mondol 8
0.8%
208 Sangkae 3
0.3%
209 Samlout 5
0.5%
210 Sampov Lun 6
0.6%
211 Phnom Proek 10
0.9%
212 Kamrieng 6
0.6%
213 Koas Krala 1
0.1%
214 Rukhak Kiri 5
0.5%
301 Batheay 4
0.4%
302 Chamkar Leu 25
2.4%
303 Cheung Prey 6
0.6%
305 Kampong Cham 1
0.1%
306 Kampong Siem 1
0.1%
307 Kang Meas 6
0.6%
308 Kaoh Soutin 8
0.8%
313 Prey Chhor 12
1.1%
314 Srei Santhor 1
0.1%
315 Stueng Trang 4
0.4%
401 Baribour 5
0.5%
403 Krong Kampong Chhnang 5
0.5%
404 Kampong Leaeng 4
0.4%
405 Kampong Tralach 1
0.1%
406 Rolea B'ier 7
0.7%
407 Sameakki Mean Chey 13
1.2%
408 Tuek Phos 5
0.5%
501 Basedth 11
1%
502 Krong Chbar Mon 1
0.1%
503 Kong Pisei 12
1.1%
504 Aoral 0
0%
505 Odongk 5
0.5%
506 Phnum Sruoch 0
0%
507 Samraong Tong 5
0.5%
508 Thpong 0
0%
601 Baray 13
1.2%
602 Kampong Svay 7
0.7%
603 Krong Stueng Saen 2
0.2%
604 Prasat Ballangk 4
0.4%
605 Prasat Sambour 5
0.5%
606 Sandan 2
0.2%
607 Santuk 13
1.2%
608 Stoung 6
0.6%
701 Angkor Chey 8
0.8%
702 Banteay Meas 15
1.4%
703 Chhuk 3
0.3%
704 Chum Kiri 4
0.4%
705 Dang Tong 18
1.7%
706 Kampong Trach 9
0.9%
707 Tuek Chhou 10
0.9%
708 Krong Kampot 3
0.3%
801 Kandal Stueng 3
0.3%
802 Kien Svay 30
2.8%
803 Khsach Kandal 1
0.1%
804 Kaoh Thum 2
0.2%
805 Leuk Daek 7
0.7%
806 Lvea Aem 1
0.1%
807 Mukh Kampul 2
0.2%
809 Popnhea Lueu 2
0.2%
810 S'ang 4
0.4%
811 Krong Ta Khmau 1
0.1%
901 Botum Sakor 4
0.4%
903 Kaoh Kong 3
0.3%
904 Krong Khemarak Phoumin 4
0.4%
905 Mondol Seima 1
0.1%
906 Srae Ambel 4
0.4%
907 Thma Bang 3
0.3%
1001 Chhloung 6
0.6%
1002 Krong Kracheh 2
0.2%
1003 Preaek Prasab 13
1.2%
1004 Sambour 17
1.6%
1005 Snuol 15
1.4%
1006 Chetr Borei 37
3.5%
1101 Kaev Seima 2
0.2%
1102 Kaoh Nheaek 8
0.8%
1103 Ou Reang 5
0.5%
1104 Pech Chreada 3
0.3%
1105 Krong Saen Monourom 3
0.3%
1205 Dangkao 0
0%
1206 Mean Chey 0
0%
1207 Ruessei Kaev 5
0.5%
1208 Saensokh 1
0.1%
1209 Pou Saenchey 4
0.4%
1210 Chrouy Changvar 3
0.3%
1211 Preaek Phnov 23
2.2%
1212 Chhbar Ampov 13
1.2%
1301 Chey Saen 9
0.9%
1302 Chhaeb 1
0.1%
1303 Choam Khsant 12
1.1%
1304 Kuleaen 6
0.6%
1305 Rovieng 2
0.2%
1306 Sangkom Thmei 6
0.6%
1307 Tbaeng Mean Chey 3
0.3%
1308 Krong Preah Vihear 36
3.4%
1401 Ba Phnum 2
0.2%
1402 Kamchay Mear 8
0.8%
1403 Kampong Trabaek 7
0.7%
1404 Kanhchriech 2
0.2%
1405 Me Sang 2
0.2%
1406 Peam Chor 1
0.1%
1407 Peam Ro 3
0.3%
1408 Pea Reang 4
0.4%
1409 Preah Sdach 7
0.7%
1410 Krong Prey Veaeng 2
0.2%
1411 Pou Rieng 3
0.3%
1412 Sithor Kandal 5
0.5%
1413 Svay Antor 8
0.8%
1501 Bakan 7
0.7%
1502 Kandieng 2
0.2%
1503 Krakor 11
1%
1504 Phnum Kravanh 2
0.2%
1505 Krong Pursat 5
0.5%
1506 Veal Veaeng 3
0.3%
1601 Andoung Meas 6
0.6%
1603 Bar Kaev 7
0.7%
1604 Koun Mom 4
0.4%
1605 Lumphat 11
1%
1606 Ou Chum 3
0.3%
1607 Ou Ya Dav 5
0.5%
1608 Ta Veaeng 4
0.4%
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 2
0.2%
1707 Puok 8
0.8%
1709 Prasat Bakong 3
0.3%
1710 Krong Siem Reab 1
0.1%
1711 Soutr Nikom 8
0.8%
1712 Srei Snam 1
0.1%
1713 Svay Leu 9
0.9%
1714 Varin 0
0%
1802 Prey Nob 6
0.6%
1803 Stueng Hav 9
0.9%
1804 Kampong Seila 1
0.1%
1901 Sesan 1
0.1%
1902 Siem Bouk 5
0.5%
1903 Siem Pang 0
0%
1904 Krong Stueng Traeng 16
1.5%
1905 Thala Barivat 5
0.5%
2001 Chantrea 4
0.4%
2002 Kampong Rou 1
0.1%
2003 Rumduol 1
0.1%
2004 Romeas Haek 11
1%
2005 Svay Chrum 8
0.8%
2006 Krong Svay Rieng 3
0.3%
2007 Svay Teab 0
0%
2008 Krong Bavet 1
0.1%
2101 Angkor Borei 4
0.4%
2102 Bati 0
0%
2103 Borei Cholsar 3
0.3%
2104 Kiri Vong 8
0.8%
2105 Kaoh Andaet 1
0.1%
2106 Prey Kabbas 4
0.4%
2107 Samraong 2
0.2%
2109 Tram Kak 19
1.8%
2110 Treang 13
1.2%
2201 Anlong Veaeng 4
0.4%
2202 Banteay Ampil 3
0.3%
2203 Chong Kal 1
0.1%
2204 Krong Samraong 7
0.7%
2205 Trapeang Prasat 0
0%
2301 Damnak Chang'aeur 3
0.3%
2401 Krong Pailin 6
0.6%
2402 Sala Krau 2
0.2%
2501 Ponhea Kraek 2
0.2%
2502 Krouch Chhmar 4
0.4%
2503 Memot 9
0.9%
2505 Ponhea Kraek1 19
1.8%
2507 Tboung Khmum 13
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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