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    Home / Central Data Catalog / KHM_2019_LSMS-PLUS_V02_M / variable [F17]
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
14154
Downloads
132
  • Study Description
  • Data Dictionary
  • Downloads
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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

9b. In the past 30 days, which was the last / most recent provider that was cons (s12q09b)

Data file: hh_sec_12

Overview

Valid: 684
Invalid: 5667
Minimum: 1
Maximum: 19
Type: Discrete
Decimal: 0
Start: 78
End: 81
Width: 4
Range: 1 - 9999
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 National hospital (PP) 17
2.5%
2 Provincial hospital (RH) 21
3.1%
3 District hospital (RH) 36
5.3%
4 Health centre 61
8.9%
5 Health post 0
0%
6 Provincial rehabilitation centre (PRC) or Community based re 0
0%
7 Other public (Specify) 2
0.3%
8 Private hospital 107
15.6%
9 Private clinic 159
23.2%
10 Private pharmacy 171
25%
11 Home/Office of trained health worker/nurse 24
3.5%
12 Visit of trained health worker/nurse 0
0%
13 Other private medical (Specify) 3
0.4%
14 Shop selling drugs/market 66
9.6%
15 Kru Khmer/ Magician 12
1.8%
16 Monk/religious leader 0
0%
17 Traditional birth attendant 0
0%
18 Not medical sector Other (Specify) 4
0.6%
19 Overseas Medical Service 1
0.1%
9999 Don't know 0
0%
Sysmiss 5667
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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