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    Home / Central Data Catalog / KHM_2019_LSMS-PLUS_V02_M / variable [F18]
central

Living Standards Measurement Study - Plus 2019-2020

Cambodia, 2019 - 2020
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Reference ID
KHM_2019_LSMS-PLUS_v02_M
Producer(s)
Cambodia National Institute of Statistics (NIS)
Metadata
DDI/XML JSON
Created on
Oct 14, 2021
Last modified
Oct 14, 2021
Page views
16069
Downloads
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  • Study Description
  • Data Dictionary
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  • Data files
  • hh_sec_1
  • hh_sec_2
  • hh_sec_3
  • hh_sec_4
  • hh_sec_5
  • hh_sec_6
  • hh_sec_7a
  • hh_sec_7b
  • hh_sec_7b_hhlabor
  • hh_sec_7b_nonhhlabor
  • hh_sec_7c
  • hh_sec_7d
  • hh_sec_8
  • hh_sec_9
  • hh_sec_10
  • hh_sec_11
  • hh_sec_12
  • hh_sec_13a
  • hh_sec_13b
  • hh_sec_14
  • hh_sec_15
  • hh_sec_16a
  • hh_sec_16b
  • hh_sec_16c
  • hh_sec_17a
  • hh_sec_17b
  • hh_sec_18a
  • hh_sec_18b
  • hh_sec_19a
  • hh_sec_19b
  • hh_sec_20a
  • hh_sec_20b
  • individual_cover

13a. During this first migration episode, where did you migrate to? Province/Cap (s13Aq13a)

Data file: hh_sec_13a

Overview

Valid: 516
Invalid: 5835
Minimum: 1
Maximum: 25
Type: Discrete
Decimal: 0
Start: 92
End: 93
Width: 2
Range: 1 - 25
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 បន្ទាយមានជ័យ / Banteay Meanchey 29
5.6%
2 បាត់ដំបង / Battambang 25
4.8%
3 កំពង់ចាម / Kampong Cham 10
1.9%
4 កំពង់ឆ្នាំង / Kampong Chhnang 3
0.6%
5 កំពង់ស្ពឺ / Kampong Speu 8
1.6%
6 កំពង់ធំ / Kampong Thom 11
2.1%
7 កំពត / Kampot 2
0.4%
8 កណ្ដាល / Kandal 18
3.5%
9 កោះកុង / Koh Kong 13
2.5%
10 ក្រចេះ / Kratie 9
1.7%
11 មណ្ឌលគិរី / Mondul Kiri 9
1.7%
12 ភ្នំពេញ / Phnom Penh 226
43.8%
13 ព្រះវិហារ / Preah Vihear 10
1.9%
14 ព្រៃវែង / Prey Veng 4
0.8%
15 ពោធិ៍សាត់ / Pursat 7
1.4%
16 រតនគិរី / Ratanak Kiri 14
2.7%
17 សៀមរាប / Siemreap 17
3.3%
18 ព្រះសីហនុ / Preah Sihanouk 40
7.8%
19 ស្ទឹងត្រែង / Stung Treng 5
1%
20 ស្វាយរៀង / Svay Rieng 7
1.4%
21 តាកែវ / Takeo 2
0.4%
22 ឧត្ដរមានជ័យ / Oddar Meanchey 11
2.1%
23 កែប / Kep 0
0%
24 ប៉ៃលិន / Pailin 27
5.2%
25 ត្បូងឃ្មុំ / Tboung Khmum 9
1.7%
Sysmiss 5835
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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