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    Home / Central Data Catalog / KHM-NIS-CDHS-2000-V01 / variable [F9]
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Cambodia Demographic and Health Survey in 2000

Cambodia, 2000
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Reference ID
KHM-NIS-CDHS-2000-v01
Producer(s)
National Institute of Statistics, Directorate General for Health
Collections
Demographic and Health Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Sep 25, 2023
Last modified
Sep 25, 2023
Page views
1895878
  • Study Description
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  • khhh41fl
  • khhh41rt
  • khiq41
  • khiq41fl
  • khiq41rt

wt/ht percent of ref. median (hcrm3_03)

Data file: khiq41

Overview

Valid: 253
Invalid: 15732
Type: Discrete
Decimal: 0
Start: 3779
End: 3783
Width: 5
Range: 5372 - 99998
Format: Numeric

Questions and instructions

Categories
Value Category Cases
5372 2
0.8%
6456 1
0.4%
6874 3
1.2%
7013 2
0.8%
7175 3
1.2%
7306 1
0.4%
7307 1
0.4%
7309 1
0.4%
7371 1
0.4%
7487 1
0.4%
7500 1
0.4%
7587 1
0.4%
7679 1
0.4%
7802 1
0.4%
7922 1
0.4%
8005 2
0.8%
8039 1
0.4%
8060 1
0.4%
8085 1
0.4%
8088 3
1.2%
8100 1
0.4%
8154 1
0.4%
8193 1
0.4%
8277 1
0.4%
8297 1
0.4%
8303 1
0.4%
8306 1
0.4%
8313 1
0.4%
8347 3
1.2%
8353 1
0.4%
8355 1
0.4%
8428 3
1.2%
8452 2
0.8%
8456 2
0.8%
8461 1
0.4%
8504 1
0.4%
8515 1
0.4%
8517 1
0.4%
8562 1
0.4%
8579 1
0.4%
8592 1
0.4%
8616 1
0.4%
8618 1
0.4%
8663 2
0.8%
8723 1
0.4%
8726 4
1.6%
8751 1
0.4%
8752 1
0.4%
8770 1
0.4%
8841 2
0.8%
8849 1
0.4%
8860 1
0.4%
8870 3
1.2%
8874 1
0.4%
8883 1
0.4%
8891 2
0.8%
8896 1
0.4%
8914 3
1.2%
8934 1
0.4%
8939 1
0.4%
9021 1
0.4%
9051 1
0.4%
9081 4
1.6%
9082 1
0.4%
9086 2
0.8%
9087 1
0.4%
9133 2
0.8%
9146 1
0.4%
9196 1
0.4%
9200 1
0.4%
9201 1
0.4%
9218 1
0.4%
9250 1
0.4%
9251 1
0.4%
9252 1
0.4%
9258 1
0.4%
9282 1
0.4%
9293 1
0.4%
9300 1
0.4%
9311 1
0.4%
9330 2
0.8%
9384 1
0.4%
9418 3
1.2%
9439 1
0.4%
9454 1
0.4%
9477 1
0.4%
9503 1
0.4%
9535 1
0.4%
9536 2
0.8%
9583 1
0.4%
9613 1
0.4%
9623 1
0.4%
9658 2
0.8%
9676 1
0.4%
9701 1
0.4%
9712 1
0.4%
9727 1
0.4%
9735 1
0.4%
9755 1
0.4%
9835 1
0.4%
9836 1
0.4%
9848 2
0.8%
9878 1
0.4%
9899 1
0.4%
9962 2
0.8%
9964 1
0.4%
9968 1
0.4%
9977 1
0.4%
10004 1
0.4%
10036 1
0.4%
10041 1
0.4%
10085 1
0.4%
10087 1
0.4%
10093 2
0.8%
10102 1
0.4%
10110 2
0.8%
10122 1
0.4%
10129 1
0.4%
10135 2
0.8%
10162 1
0.4%
10196 2
0.8%
10224 1
0.4%
10227 1
0.4%
10238 1
0.4%
10242 1
0.4%
10250 2
0.8%
10273 1
0.4%
10277 1
0.4%
10282 2
0.8%
10285 1
0.4%
10311 2
0.8%
10330 1
0.4%
10339 2
0.8%
10377 1
0.4%
10406 1
0.4%
10432 1
0.4%
10532 1
0.4%
10539 1
0.4%
10569 2
0.8%
10572 3
1.2%
10707 1
0.4%
10758 1
0.4%
10777 1
0.4%
10908 1
0.4%
10939 1
0.4%
10940 1
0.4%
10962 1
0.4%
11162 3
1.2%
11368 1
0.4%
11427 2
0.8%
12020 1
0.4%
12176 1
0.4%
12364 1
0.4%
12743 1
0.4%
12838 1
0.4%
12897 1
0.4%
14137 1
0.4%
17232 1
0.4%
99998 flagged cases 44
17.4%
Sysmiss 15732
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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