IHSN Survey Catalog
  • Home
  • Microdata Catalog
  • Citations
  • Login
    Login
    Home / Central Data Catalog / KHM_2020_HFPS-IDP_V04_M / variable [F67]
central

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

Cambodia, 2020 - 2022
Get Microdata
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
58913
Downloads
529
  • Study Description
  • Data Dictionary
  • Downloads
  • 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: r5march2021_idp_section00.dta

Overview

Valid: 1309
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 5
0.4%
103 Phnum Srok 10
0.8%
104 Preah Netr Preah 10
0.8%
107 Thma Puok 2
0.2%
108 Svay Chek 6
0.5%
109 Malai 9
0.7%
110 Krong Paoy Paet 5
0.4%
201 Banan 37
2.8%
202 Thma Koul 14
1.1%
203 Krong Bat Dambang 6
0.5%
204 Bavel 4
0.3%
205 Aek Phnum 9
0.7%
206 Moung Ruessei 9
0.7%
207 Rotonak Mondol 14
1.1%
208 Sangkae 4
0.3%
209 Samlout 9
0.7%
210 Sampov Lun 9
0.7%
211 Phnom Proek 21
1.6%
212 Kamrieng 8
0.6%
213 Koas Krala 1
0.1%
214 Rukhak Kiri 8
0.6%
301 Batheay 4
0.3%
302 Chamkar Leu 31
2.4%
303 Cheung Prey 6
0.5%
305 Kampong Cham 1
0.1%
306 Kampong Siem 0
0%
307 Kang Meas 17
1.3%
308 Kaoh Soutin 10
0.8%
313 Prey Chhor 12
0.9%
314 Srei Santhor 4
0.3%
315 Stueng Trang 9
0.7%
401 Baribour 9
0.7%
403 Krong Kampong Chhnang 7
0.5%
404 Kampong Leaeng 3
0.2%
405 Kampong Tralach 3
0.2%
406 Rolea B'ier 5
0.4%
407 Sameakki Mean Chey 18
1.4%
408 Tuek Phos 10
0.8%
501 Basedth 8
0.6%
502 Krong Chbar Mon 0
0%
503 Kong Pisei 5
0.4%
504 Aoral 0
0%
505 Odongk 4
0.3%
506 Phnum Sruoch 0
0%
507 Samraong Tong 2
0.2%
508 Thpong 0
0%
601 Baray 22
1.7%
602 Kampong Svay 8
0.6%
603 Krong Stueng Saen 5
0.4%
604 Prasat Ballangk 5
0.4%
605 Prasat Sambour 8
0.6%
606 Sandan 3
0.2%
607 Santuk 24
1.8%
608 Stoung 15
1.1%
701 Angkor Chey 3
0.2%
702 Banteay Meas 5
0.4%
703 Chhuk 2
0.2%
704 Chum Kiri 1
0.1%
705 Dang Tong 12
0.9%
706 Kampong Trach 4
0.3%
707 Tuek Chhou 8
0.6%
708 Krong Kampot 2
0.2%
801 Kandal Stueng 2
0.2%
802 Kien Svay 27
2.1%
803 Khsach Kandal 2
0.2%
804 Kaoh Thum 2
0.2%
805 Leuk Daek 13
1%
806 Lvea Aem 1
0.1%
807 Mukh Kampul 0
0%
809 Popnhea Lueu 2
0.2%
810 S'ang 4
0.3%
811 Krong Ta Khmau 0
0%
901 Botum Sakor 3
0.2%
903 Kaoh Kong 1
0.1%
904 Krong Khemarak Phoumin 3
0.2%
905 Mondol Seima 2
0.2%
906 Srae Ambel 6
0.5%
907 Thma Bang 3
0.2%
1001 Chhloung 6
0.5%
1002 Krong Kracheh 5
0.4%
1003 Preaek Prasab 6
0.5%
1004 Sambour 18
1.4%
1005 Snuol 9
0.7%
1006 Chetr Borei 33
2.5%
1101 Kaev Seima 2
0.2%
1102 Kaoh Nheaek 9
0.7%
1103 Ou Reang 6
0.5%
1104 Pech Chreada 5
0.4%
1105 Krong Saen Monourom 5
0.4%
1205 Dangkao 0
0%
1206 Mean Chey 0
0%
1207 Ruessei Kaev 3
0.2%
1208 Saensokh 1
0.1%
1209 Pou Saenchey 3
0.2%
1210 Chrouy Changvar 4
0.3%
1211 Preaek Phnov 20
1.5%
1212 Chhbar Ampov 11
0.8%
1301 Chey Saen 12
0.9%
1302 Chhaeb 2
0.2%
1303 Choam Khsant 12
0.9%
1304 Kuleaen 7
0.5%
1305 Rovieng 2
0.2%
1306 Sangkom Thmei 7
0.5%
1307 Tbaeng Mean Chey 1
0.1%
1308 Krong Preah Vihear 36
2.8%
1401 Ba Phnum 1
0.1%
1402 Kamchay Mear 13
1%
1403 Kampong Trabaek 6
0.5%
1404 Kanhchriech 3
0.2%
1405 Me Sang 4
0.3%
1406 Peam Chor 6
0.5%
1407 Peam Ro 2
0.2%
1408 Pea Reang 6
0.5%
1409 Preah Sdach 7
0.5%
1410 Krong Prey Veaeng 1
0.1%
1411 Pou Rieng 2
0.2%
1412 Sithor Kandal 8
0.6%
1413 Svay Antor 14
1.1%
1501 Bakan 10
0.8%
1502 Kandieng 3
0.2%
1503 Krakor 13
1%
1504 Phnum Kravanh 2
0.2%
1505 Krong Pursat 5
0.4%
1506 Veal Veaeng 6
0.5%
1601 Andoung Meas 4
0.3%
1603 Bar Kaev 7
0.5%
1604 Koun Mom 2
0.2%
1605 Lumphat 5
0.4%
1606 Ou Chum 2
0.2%
1607 Ou Ya Dav 2
0.2%
1608 Ta Veaeng 2
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 1
0.1%
1707 Puok 10
0.8%
1709 Prasat Bakong 3
0.2%
1710 Krong Siem Reab 0
0%
1711 Soutr Nikom 11
0.8%
1712 Srei Snam 1
0.1%
1713 Svay Leu 11
0.8%
1714 Varin 0
0%
1802 Prey Nob 2
0.2%
1803 Stueng Hav 6
0.5%
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 23
1.8%
1905 Thala Barivat 4
0.3%
2001 Chantrea 4
0.3%
2002 Kampong Rou 4
0.3%
2003 Rumduol 0
0%
2004 Romeas Haek 18
1.4%
2005 Svay Chrum 11
0.8%
2006 Krong Svay Rieng 4
0.3%
2007 Svay Teab 3
0.2%
2008 Krong Bavet 1
0.1%
2101 Angkor Borei 4
0.3%
2102 Bati 1
0.1%
2103 Borei Cholsar 3
0.2%
2104 Kiri Vong 6
0.5%
2105 Kaoh Andaet 0
0%
2106 Prey Kabbas 2
0.2%
2107 Samraong 5
0.4%
2109 Tram Kak 23
1.8%
2110 Treang 18
1.4%
2201 Anlong Veaeng 9
0.7%
2202 Banteay Ampil 8
0.6%
2203 Chong Kal 0
0%
2204 Krong Samraong 15
1.1%
2205 Trapeang Prasat 4
0.3%
2301 Damnak Chang'aeur 12
0.9%
2401 Krong Pailin 12
0.9%
2402 Sala Krau 3
0.2%
2501 Ponhea Kraek 8
0.6%
2502 Krouch Chhmar 3
0.2%
2503 Memot 15
1.1%
2505 Ponhea Kraek1 56
4.3%
2507 Tboung Khmum 46
3.5%
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.
Back to Catalog
IHSN Survey Catalog

© IHSN Survey Catalog, All Rights Reserved.