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    Home / Central Data Catalog / KHM_2020_HFPS-IDP_V04_M / variable [F49]
central

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
Producer(s)
World Bank Group
Metadata
DDI/XML JSON
Created on
Mar 22, 2021
Last modified
Dec 22, 2022
Page views
58915
Downloads
529
  • Study Description
  • Data Dictionary
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  • 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: r4december2020_idp_section00.dta

Overview

Valid: 1277
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 5
0.4%
104 Preah Netr Preah 5
0.4%
107 Thma Puok 5
0.4%
108 Svay Chek 4
0.3%
109 Malai 8
0.6%
110 Krong Paoy Paet 7
0.5%
201 Banan 30
2.3%
202 Thma Koul 14
1.1%
203 Krong Bat Dambang 5
0.4%
204 Bavel 6
0.5%
205 Aek Phnum 7
0.5%
206 Moung Ruessei 7
0.5%
207 Rotonak Mondol 9
0.7%
208 Sangkae 7
0.5%
209 Samlout 6
0.5%
210 Sampov Lun 6
0.5%
211 Phnom Proek 16
1.3%
212 Kamrieng 7
0.5%
213 Koas Krala 1
0.1%
214 Rukhak Kiri 7
0.5%
301 Batheay 3
0.2%
302 Chamkar Leu 35
2.7%
303 Cheung Prey 6
0.5%
305 Kampong Cham 1
0.1%
306 Kampong Siem 0
0%
307 Kang Meas 9
0.7%
308 Kaoh Soutin 7
0.5%
313 Prey Chhor 12
0.9%
314 Srei Santhor 2
0.2%
315 Stueng Trang 8
0.6%
401 Baribour 8
0.6%
403 Krong Kampong Chhnang 7
0.5%
404 Kampong Leaeng 5
0.4%
405 Kampong Tralach 4
0.3%
406 Rolea B'ier 7
0.5%
407 Sameakki Mean Chey 20
1.6%
408 Tuek Phos 8
0.6%
501 Basedth 10
0.8%
502 Krong Chbar Mon 0
0%
503 Kong Pisei 8
0.6%
504 Aoral 0
0%
505 Odongk 4
0.3%
506 Phnum Sruoch 0
0%
507 Samraong Tong 3
0.2%
508 Thpong 0
0%
601 Baray 20
1.6%
602 Kampong Svay 6
0.5%
603 Krong Stueng Saen 5
0.4%
604 Prasat Ballangk 5
0.4%
605 Prasat Sambour 7
0.5%
606 Sandan 2
0.2%
607 Santuk 19
1.5%
608 Stoung 8
0.6%
701 Angkor Chey 4
0.3%
702 Banteay Meas 7
0.5%
703 Chhuk 2
0.2%
704 Chum Kiri 2
0.2%
705 Dang Tong 15
1.2%
706 Kampong Trach 10
0.8%
707 Tuek Chhou 8
0.6%
708 Krong Kampot 3
0.2%
801 Kandal Stueng 3
0.2%
802 Kien Svay 30
2.3%
803 Khsach Kandal 4
0.3%
804 Kaoh Thum 1
0.1%
805 Leuk Daek 11
0.9%
806 Lvea Aem 2
0.2%
807 Mukh Kampul 1
0.1%
809 Popnhea Lueu 2
0.2%
810 S'ang 3
0.2%
811 Krong Ta Khmau 1
0.1%
901 Botum Sakor 3
0.2%
903 Kaoh Kong 2
0.2%
904 Krong Khemarak Phoumin 3
0.2%
905 Mondol Seima 2
0.2%
906 Srae Ambel 6
0.5%
907 Thma Bang 4
0.3%
1001 Chhloung 6
0.5%
1002 Krong Kracheh 5
0.4%
1003 Preaek Prasab 13
1%
1004 Sambour 21
1.6%
1005 Snuol 11
0.9%
1006 Chetr Borei 38
3%
1101 Kaev Seima 3
0.2%
1102 Kaoh Nheaek 11
0.9%
1103 Ou Reang 7
0.5%
1104 Pech Chreada 5
0.4%
1105 Krong Saen Monourom 6
0.5%
1205 Dangkao 0
0%
1206 Mean Chey 0
0%
1207 Ruessei Kaev 3
0.2%
1208 Saensokh 1
0.1%
1209 Pou Saenchey 4
0.3%
1210 Chrouy Changvar 4
0.3%
1211 Preaek Phnov 23
1.8%
1212 Chhbar Ampov 12
0.9%
1301 Chey Saen 13
1%
1302 Chhaeb 2
0.2%
1303 Choam Khsant 14
1.1%
1304 Kuleaen 8
0.6%
1305 Rovieng 2
0.2%
1306 Sangkom Thmei 8
0.6%
1307 Tbaeng Mean Chey 1
0.1%
1308 Krong Preah Vihear 50
3.9%
1401 Ba Phnum 1
0.1%
1402 Kamchay Mear 14
1.1%
1403 Kampong Trabaek 7
0.5%
1404 Kanhchriech 3
0.2%
1405 Me Sang 4
0.3%
1406 Peam Chor 3
0.2%
1407 Peam Ro 2
0.2%
1408 Pea Reang 4
0.3%
1409 Preah Sdach 8
0.6%
1410 Krong Prey Veaeng 1
0.1%
1411 Pou Rieng 2
0.2%
1412 Sithor Kandal 5
0.4%
1413 Svay Antor 12
0.9%
1501 Bakan 9
0.7%
1502 Kandieng 3
0.2%
1503 Krakor 10
0.8%
1504 Phnum Kravanh 4
0.3%
1505 Krong Pursat 5
0.4%
1506 Veal Veaeng 5
0.4%
1601 Andoung Meas 4
0.3%
1603 Bar Kaev 7
0.5%
1604 Koun Mom 4
0.3%
1605 Lumphat 7
0.5%
1606 Ou Chum 3
0.2%
1607 Ou Ya Dav 4
0.3%
1608 Ta Veaeng 3
0.2%
1609 Veun Sai 1
0.1%
1701 Angkor Chum 0
0%
1703 Banteay Srei 1
0.1%
1704 Chi Kraeng 5
0.4%
1706 Kralanh 0
0%
1707 Puok 10
0.8%
1709 Prasat Bakong 4
0.3%
1710 Krong Siem Reab 1
0.1%
1711 Soutr Nikom 9
0.7%
1712 Srei Snam 0
0%
1713 Svay Leu 11
0.9%
1714 Varin 0
0%
1802 Prey Nob 6
0.5%
1803 Stueng Hav 9
0.7%
1804 Kampong Seila 1
0.1%
1901 Sesan 0
0%
1902 Siem Bouk 3
0.2%
1903 Siem Pang 1
0.1%
1904 Krong Stueng Traeng 27
2.1%
1905 Thala Barivat 4
0.3%
2001 Chantrea 4
0.3%
2002 Kampong Rou 3
0.2%
2003 Rumduol 1
0.1%
2004 Romeas Haek 15
1.2%
2005 Svay Chrum 10
0.8%
2006 Krong Svay Rieng 1
0.1%
2007 Svay Teab 2
0.2%
2008 Krong Bavet 3
0.2%
2101 Angkor Borei 6
0.5%
2102 Bati 2
0.2%
2103 Borei Cholsar 2
0.2%
2104 Kiri Vong 8
0.6%
2105 Kaoh Andaet 0
0%
2106 Prey Kabbas 9
0.7%
2107 Samraong 5
0.4%
2109 Tram Kak 21
1.6%
2110 Treang 17
1.3%
2201 Anlong Veaeng 8
0.6%
2202 Banteay Ampil 6
0.5%
2203 Chong Kal 0
0%
2204 Krong Samraong 13
1%
2205 Trapeang Prasat 2
0.2%
2301 Damnak Chang'aeur 17
1.3%
2401 Krong Pailin 9
0.7%
2402 Sala Krau 2
0.2%
2501 Ponhea Kraek 4
0.3%
2502 Krouch Chhmar 3
0.2%
2503 Memot 11
0.9%
2505 Ponhea Kraek1 38
3%
2507 Tboung Khmum 23
1.8%
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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