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    Home / Central Data Catalog / WHO / VNM_2003_WHS_V01_M / variable [F5]
WHO

World Health Survey 2003

Viet Nam, 2003
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Reference ID
VNM_2003_WHS_v01_M
Producer(s)
World Health Organization (WHO)
Collection(s)
WHO’s Multi-Country Studies Programmes
Metadata
DDI/XML JSON
Study website
Created on
Oct 17, 2013
Last modified
Oct 26, 2023
Page views
69391
Downloads
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  • Study Description
  • Data Description
  • Documentation
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  • Data files
  • VietNam-ID
  • WHS-VietNam_F2
  • WHS-Vietnam_F3
  • WHS-VietNam_F4
  • WHS-VietNam_F5
  • WHS-VietNam_F6
  • WHS-VietNam_F7

Medicines (q7310)

Data file: WHS-VietNam_F5

Overview

Valid: 1598
Invalid: 1894
Minimum: 0
Maximum: 3000000
Mean: 53480.793
Standard deviation: 143029.758
Type: Discrete
Decimal: 2
Start: 2324
End: 2333
Width: 10
Range: 0 - 1200
Format: Numeric

Questions and instructions

Literal question
Thinking about your last visit, how much did you or your household pay for: Medicines
Categories
Value Category Cases
0 189
11.8%
2 1
0.1%
5 1
0.1%
8 Do not know 187
11.7%
9 Not applicable, not have 206
12.9%
10 1
0.1%
20 2
0.1%
1000 4
0.3%
1500 2
0.1%
2000 4
0.3%
2500 2
0.1%
3000 6
0.4%
4000 2
0.1%
5000 23
1.4%
6000 10
0.6%
7000 5
0.3%
7500 2
0.1%
8000 7
0.4%
8500 1
0.1%
10000 75
4.7%
11000 1
0.1%
12000 14
0.9%
12700 1
0.1%
13000 7
0.4%
14000 4
0.3%
14500 1
0.1%
14700 1
0.1%
15000 64
4%
16000 6
0.4%
17000 4
0.3%
18000 9
0.6%
19000 2
0.1%
20000 112
7%
21000 5
0.3%
22000 2
0.1%
22500 1
0.1%
23000 2
0.1%
24000 1
0.1%
25000 27
1.7%
27000 2
0.1%
28000 6
0.4%
30000 84
5.3%
30500 1
0.1%
32000 5
0.3%
34000 1
0.1%
35000 17
1.1%
36000 1
0.1%
37000 5
0.3%
38000 1
0.1%
40000 38
2.4%
42000 3
0.2%
42500 1
0.1%
45000 10
0.6%
46000 1
0.1%
47000 1
0.1%
48000 2
0.1%
50000 92
5.8%
52000 1
0.1%
55000 3
0.2%
60000 19
1.2%
62000 1
0.1%
64000 1
0.1%
65000 3
0.2%
68000 1
0.1%
70000 31
1.9%
75000 7
0.4%
78000 2
0.1%
80000 19
1.2%
83000 1
0.1%
84000 2
0.1%
85000 1
0.1%
86000 1
0.1%
88000 1
0.1%
90000 6
0.4%
94000 1
0.1%
95000 3
0.2%
96000 1
0.1%
100000 50
3.1%
105000 1
0.1%
108000 1
0.1%
110000 2
0.1%
120000 18
1.1%
130000 5
0.3%
135000 1
0.1%
137000 1
0.1%
145000 1
0.1%
150000 22
1.4%
160000 1
0.1%
170000 5
0.3%
175000 1
0.1%
180000 7
0.4%
185000 1
0.1%
190000 1
0.1%
200000 26
1.6%
204000 1
0.1%
210000 4
0.3%
220000 1
0.1%
240000 1
0.1%
250000 9
0.6%
270000 3
0.2%
280000 1
0.1%
300000 15
0.9%
340000 1
0.1%
347000 1
0.1%
350000 4
0.3%
360000 1
0.1%
370000 1
0.1%
400000 8
0.5%
414000 1
0.1%
450000 2
0.1%
500000 12
0.8%
550000 2
0.1%
580000 1
0.1%
600000 2
0.1%
700000 3
0.2%
1000000 5
0.3%
1200000 1
0.1%
1300000 1
0.1%
1500000 2
0.1%
3000000 1
0.1%
Sysmiss 1894
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.
Interviewer instructions
The amount paid should be entered for each category. If the payment was in kind, then the respondent should be asked to give their best estimate of the cash value of the in-kind payment. If there are other expenses than fees, drugs, tests or transport, then they should be entered as "Other". If the person only answers with a total amount, record under “other”.
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