Cambodia Rural Urban Migration Project 2011
Cambodia, 2011
Get Microdata
Reference ID
KHM-NIS-CRUMP-2011-v01
Producer(s)
Ministry of Planning
Metadata
Created on
Jan 07, 2021
Last modified
Jan 08, 2021
Page views
353408
Downloads
4239
District name (dn)
Data file: Rural HH_Section B2
Overview
Valid:
927
Invalid:
0
Type:
Discrete
Start:
21
End:
40
Width:
20
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| Aek Phnum | 8 |
0.9%
|
|
| Angk Snuol | 7 |
0.8%
|
|
| Angkor Chey | 8 |
0.9%
|
|
| Angkor Chum | 4 |
0.4%
|
|
| Angkor Thum | 3 |
0.3%
|
|
| Anlong Veaeng | 2 |
0.2%
|
|
| Aoral | 2 |
0.2%
|
|
| Ba Phnum | 12 |
1.3%
|
|
| Bakan | 15 |
1.6%
|
|
| Banan | 10 |
1.1%
|
|
| Banteay Ampil | 2 |
0.2%
|
|
| Banteay Meas | 7 |
0.8%
|
|
| Banteay Srei | 2 |
0.2%
|
|
| Bar Kaev | 3 |
0.3%
|
|
| Baray | 22 |
2.4%
|
|
| Baribour | 6 |
0.6%
|
|
| Basedth | 9 |
1%
|
|
| Batheay | 14 |
1.5%
|
|
| Bati | 5 |
0.5%
|
|
| Bavel | 3 |
0.3%
|
|
| Chamkar Leu | 7 |
0.8%
|
|
| Chantrea | 11 |
1.2%
|
|
| Cheung Prey | 5 |
0.5%
|
|
| Chhloung | 8 |
0.9%
|
|
| Chhuk | 3 |
0.3%
|
|
| Chi Kraeng | 1 |
0.1%
|
|
| Choam Khsant | 8 |
0.9%
|
|
| Chum Kiri | 1 |
0.1%
|
|
| Dambae | 11 |
1.2%
|
|
| Dang Tong | 2 |
0.2%
|
|
| Kamchay Mear | 4 |
0.4%
|
|
| Kampong Leaeng | 2 |
0.2%
|
|
| Kampong Leav | 6 |
0.6%
|
|
| Kampong Rou | 16 |
1.7%
|
|
| Kampong Siem | 14 |
1.5%
|
|
| Kampong Svay | 3 |
0.3%
|
|
| Kampong Trabaek | 15 |
1.6%
|
|
| Kampong Trach | 1 |
0.1%
|
|
| Kampong Tralach | 5 |
0.5%
|
|
| Kamrieng | 2 |
0.2%
|
|
| Kandal Stueng | 4 |
0.4%
|
|
| Kandieng | 4 |
0.4%
|
|
| Kang Meas | 8 |
0.9%
|
|
| Kanhchriech | 10 |
1.1%
|
|
| Kaoh Thum | 17 |
1.8%
|
|
| Khsach Kandal | 8 |
0.9%
|
|
| Kien Svay | 16 |
1.7%
|
|
| Kiri Sakor | 2 |
0.2%
|
|
| Kiri Vong | 2 |
0.2%
|
|
| Koas Krala | 1 |
0.1%
|
|
| Kong Pisei | 4 |
0.4%
|
|
| Krakor | 3 |
0.3%
|
|
| Kralanh | 4 |
0.4%
|
|
| Krong Battambang | 4 |
0.4%
|
|
| Krong Bavet | 5 |
0.5%
|
|
| Krong Pailin | 3 |
0.3%
|
|
| Krong Pursat | 4 |
0.4%
|
|
| Krong Samraong | 2 |
0.2%
|
|
| Krong Serei Saophoan | 4 |
0.4%
|
|
| Krong Siem Reab | 5 |
0.5%
|
|
| Krong Suong | 7 |
0.8%
|
|
| Krong Svay Rieng | 2 |
0.2%
|
|
| Krouch Chhmar | 19 |
2%
|
|
| Leuk Daek | 4 |
0.4%
|
|
| Lvea Aem | 4 |
0.4%
|
|
| Malai | 1 |
0.1%
|
|
| Me Sang | 22 |
2.4%
|
|
| Memot | 12 |
1.3%
|
|
| Mondol Seima | 2 |
0.2%
|
|
| Mongkol Borei | 6 |
0.6%
|
|
| Moung Ruessei | 12 |
1.3%
|
|
| Mukh Kampul | 4 |
0.4%
|
|
| Odongk | 5 |
0.5%
|
|
| Ou Chrov | 4 |
0.4%
|
|
| Ou Reang Ov | 12 |
1.3%
|
|
| Pea Reang | 13 |
1.4%
|
|
| Peam Chor | 8 |
0.9%
|
|
| Peam Ro | 3 |
0.3%
|
|
| Phnum Kravanh | 7 |
0.8%
|
|
| Phnum Srok | 3 |
0.3%
|
|
| Phnum Sruoch | 9 |
1%
|
|
| Ponhea Kraek | 15 |
1.6%
|
|
| Popnhea Lueu | 4 |
0.4%
|
|
| Prasat Bakong | 2 |
0.2%
|
|
| Prasat Sambour | 6 |
0.6%
|
|
| Preaek Prasab | 5 |
0.5%
|
|
| Preah Netr Preah | 11 |
1.2%
|
|
| Preah Sdach | 17 |
1.8%
|
|
| Prey Chhor | 18 |
1.9%
|
|
| Prey Kabbas | 5 |
0.5%
|
|
| Prey Nob | 2 |
0.2%
|
|
| Puok | 7 |
0.8%
|
|
| Rolea B'ier | 5 |
0.5%
|
|
| Romeas Haek | 27 |
2.9%
|
|
| Rotonak Mondol | 8 |
0.9%
|
|
| Rukhak Kiri | 2 |
0.2%
|
|
| Rumduol | 6 |
0.6%
|
|
| S'ang | 14 |
1.5%
|
|
| Sambour | 8 |
0.9%
|
|
| Sameakki Mean Chey | 3 |
0.3%
|
|
| Samraong | 2 |
0.2%
|
|
| Samraong Tong | 5 |
0.5%
|
|
| Sandan | 8 |
0.9%
|
|
| Sangkae | 6 |
0.6%
|
|
| Sangkum Thmei | 13 |
1.4%
|
|
| Santuk | 12 |
1.3%
|
|
| Sithor Kandal | 5 |
0.5%
|
|
| Snuol | 2 |
0.2%
|
|
| Soutr Nikom | 6 |
0.6%
|
|
| Srae Ambel | 5 |
0.5%
|
|
| Srei Santhor | 14 |
1.5%
|
|
| Srei Snam | 3 |
0.3%
|
|
| Stoung | 26 |
2.8%
|
|
| Stueng Trang | 7 |
0.8%
|
|
| Svay Antor | 17 |
1.8%
|
|
| Svay Chek | 5 |
0.5%
|
|
| Svay Chrum | 16 |
1.7%
|
|
| Svay Leu | 1 |
0.1%
|
|
| Svay Teab | 16 |
1.7%
|
|
| Tboung Khmum | 10 |
1.1%
|
|
| Thma Koul | 15 |
1.6%
|
|
| Thpong | 6 |
0.6%
|
|
| Tram Kak | 10 |
1.1%
|
|
| Treang | 7 |
0.8%
|
|
| Tuek Chhou | 4 |
0.4%
|
|
| Tuek Phos | 3 |
0.3%
|
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.