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    Home / Central Data Catalog / KHM-NIS-CDHS-2014-V01 / variable [V10327]
central

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
1293338
  • Study Description
  • Data Dictionary
  • Get Microdata
  • Data files
  • KHBR61FL(Birth)
  • KHHR61FL(Households)
  • KHIR61FL(Women)
  • KHKR61FL(Children)
  • KHMR61FL(Men)
  • KHPR61FL(Members)

sample stratum number (mv022)

Data file: KHMR61FL(Men)

Overview

Valid: 8239
Invalid: 0
Type: Discrete
Decimal: 0
Start: 68
End: 69
Width: 2
Range: 1 - 38
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 banteay mean chey urban 168
2%
2 banteay mean chey rural 187
2.3%
3 kampong cham urban 86
1%
4 kampong cham rural 317
3.8%
5 kampong chhnang urban 110
1.3%
6 kampong chhnang rural 387
4.7%
7 kampong speu urban 86
1%
8 kampong speu rural 313
3.8%
9 kampong thom urban 98
1.2%
10 kampong thom rural 309
3.8%
11 kandal urban 135
1.6%
12 kandal rural 283
3.4%
13 kratie urban 105
1.3%
14 kratie rural 308
3.7%
15 phnom penh urban 534
6.5%
16 phnom penh rural 58
0.7%
17 prey veng urban 79
1%
18 prey veng rural 309
3.8%
19 pursat urban 73
0.9%
20 pursat rural 324
3.9%
21 siem reap urban 169
2.1%
22 siem reap rural 255
3.1%
23 svay rieng urban 74
0.9%
24 svay rieng rural 351
4.3%
25 takeo urban 45
0.5%
26 takeo rural 354
4.3%
27 otdar mean chey urban 120
1.5%
28 otdar mean chey rural 339
4.1%
29 battambang/pailin urban 98
1.2%
30 battambang/pailin rural 292
3.5%
31 kampot/kep urban 102
1.2%
32 kampot/kep rural 279
3.4%
33 preah sihanouk/kaoh kong urban 260
3.2%
34 preah sihanouk/kaoh kong rural 266
3.2%
35 preah vihear/stung treng urban 142
1.7%
36 preah vihear/stung treng rural 334
4.1%
37 mondol kiri/rattanak kiri urban 122
1.5%
38 mondol kiri/rattanak kiri rural 368
4.5%
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.
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