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    Home / Central Data Catalog / KHM-NIS-CDHS-2014-V01 / variable [F9]
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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
1303801
  • Study Description
  • Data Dictionary
  • Get Microdata
  • Data files
  • KHBR61FL(Birth)
  • KHHR61FL(Households)
  • KHIR61FL(Women)
  • KHKR61FL(Children)
  • KHMR61FL(Men)
  • KHPR61FL(Members)

sample stratum number (v022)

Data file: KHIR61FL(Women)

Overview

Valid: 18754
Invalid: 0
Type: Discrete
Decimal: 0
Start: 77
End: 78
Width: 2
Range: 1 - 38
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 banteay mean chey urban 403
2.1%
2 banteay mean chey rural 516
2.8%
3 kampong cham urban 193
1%
4 kampong cham rural 716
3.8%
5 kampong chhnang urban 317
1.7%
6 kampong chhnang rural 815
4.3%
7 kampong speu urban 253
1.3%
8 kampong speu rural 705
3.8%
9 kampong thom urban 229
1.2%
10 kampong thom rural 740
3.9%
11 kandal urban 333
1.8%
12 kandal rural 659
3.5%
13 kratie urban 253
1.3%
14 kratie rural 684
3.6%
15 phnom penh urban 1251
6.7%
16 phnom penh rural 125
0.7%
17 prey veng urban 166
0.9%
18 prey veng rural 708
3.8%
19 pursat urban 185
1%
20 pursat rural 662
3.5%
21 siem reap urban 355
1.9%
22 siem reap rural 630
3.4%
23 svay rieng urban 185
1%
24 svay rieng rural 806
4.3%
25 takeo urban 115
0.6%
26 takeo rural 786
4.2%
27 otdar mean chey urban 255
1.4%
28 otdar mean chey rural 692
3.7%
29 battambang/pailin urban 249
1.3%
30 battambang/pailin rural 630
3.4%
31 kampot/kep urban 234
1.2%
32 kampot/kep rural 676
3.6%
33 preah sihanouk/kaoh kong urban 510
2.7%
34 preah sihanouk/kaoh kong rural 578
3.1%
35 preah vihear/stung treng urban 300
1.6%
36 preah vihear/stung treng rural 754
4%
37 mondol kiri/rattanak kiri urban 291
1.6%
38 mondol kiri/rattanak kiri rural 795
4.2%
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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