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    Home / Central Data Catalog / KHM-NIS-CDHS-2014-V01 / variable [V3561]
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Cambodia Demographic and Health Survey in 2014

Cambodia, 2014 - 2015
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Reference ID
KHM-NIS-CDHS-2014-v01
Producer(s)
National Institute of Statistics, Directorate General for Health
Collections
Demographic and Health Surveys
Metadata
DDI/XML JSON
Created on
Sep 25, 2023
Last modified
Sep 25, 2023
Page views
1273392
  • Study Description
  • Data Dictionary
  • Get Microdata
  • Data files
  • KHBR61FL(Birth)
  • KHHR61FL(Households)
  • KHIR61FL(Women)
  • KHKR61FL(Children)
  • KHMR61FL(Men)
  • KHPR61FL(Members)

sample stratum number (hv022)

Data file: KHHR61FL(Households)

Overview

Valid: 15667
Invalid: 0
Type: Discrete
Decimal: 0
Start: 66
End: 67
Width: 2
Range: 1 - 38
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 banteay mean chey urban 313
2%
2 banteay mean chey rural 525
3.4%
3 kampong cham urban 184
1.2%
4 kampong cham rural 695
4.4%
5 kampong chhnang urban 208
1.3%
6 kampong chhnang rural 711
4.5%
7 kampong speu urban 163
1%
8 kampong speu rural 618
3.9%
9 kampong thom urban 165
1.1%
10 kampong thom rural 644
4.1%
11 kandal urban 229
1.5%
12 kandal rural 565
3.6%
13 kratie urban 213
1.4%
14 kratie rural 599
3.8%
15 phnom penh urban 799
5.1%
16 phnom penh rural 104
0.7%
17 prey veng urban 136
0.9%
18 prey veng rural 727
4.6%
19 pursat urban 154
1%
20 pursat rural 615
3.9%
21 siem reap urban 239
1.5%
22 siem reap rural 520
3.3%
23 svay rieng urban 139
0.9%
24 svay rieng rural 762
4.9%
25 takeo urban 94
0.6%
26 takeo rural 760
4.9%
27 otdar mean chey urban 181
1.2%
28 otdar mean chey rural 562
3.6%
29 battambang/pailin urban 208
1.3%
30 battambang/pailin rural 568
3.6%
31 kampot/kep urban 188
1.2%
32 kampot/kep rural 624
4%
33 preah sihanouk/kaoh kong urban 335
2.1%
34 preah sihanouk/kaoh kong rural 458
2.9%
35 preah vihear/stung treng urban 211
1.3%
36 preah vihear/stung treng rural 599
3.8%
37 mondol kiri/rattanak kiri urban 226
1.4%
38 mondol kiri/rattanak kiri rural 626
4%
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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