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    Home / Central Data Catalog / WHO / PRY_2003_WHS_V01_M / variable [F5]
WHO

World Health Survey 2003

Paraguay, 2003
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Reference ID
PRY_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 17, 2013
Page views
74432
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  • Study Description
  • Data Description
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  • Data files
  • Paraguay-ID
  • WHS-Paraguay_F2
  • WHS-Paraguay_F3
  • WHS-Paraguay_F4
  • WHS-Paraguay_F5
  • WHS-Paraguay_F6
  • WHS-Paraguay_F7

Medicines (q7310)

Data file: WHS-Paraguay_F5

Overview

Valid: 2426
Invalid: 2717
Minimum: 0
Maximum: 5000000
Mean: 33275.829
Standard deviation: 122717.116
Type: Discrete
Decimal: 2
Start: 2322
End: 2331
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
0 598
24.6%
7 1
0%
8 Do not know 100
4.1%
9 Not applicable, not have 506
20.9%
50 1
0%
1000 9
0.4%
1500 1
0%
2000 11
0.5%
3000 25
1%
3500 2
0.1%
3800 1
0%
4000 5
0.2%
4500 1
0%
5000 29
1.2%
5400 1
0%
6000 12
0.5%
6500 1
0%
7000 9
0.4%
7500 2
0.1%
8000 5
0.2%
8800 1
0%
9000 6
0.2%
9500 1
0%
10000 57
2.3%
11000 5
0.2%
11500 1
0%
12000 28
1.2%
12500 1
0%
13000 11
0.5%
13500 2
0.1%
14000 10
0.4%
14690 1
0%
14900 1
0%
15000 45
1.9%
15800 1
0%
16000 13
0.5%
17000 13
0.5%
17500 4
0.2%
18000 19
0.8%
19000 5
0.2%
19500 1
0%
19700 1
0%
20000 66
2.7%
21000 4
0.2%
22000 7
0.3%
23000 4
0.2%
24000 6
0.2%
25000 31
1.3%
26000 3
0.1%
26600 1
0%
27000 6
0.2%
27500 2
0.1%
28000 10
0.4%
30000 70
2.9%
30500 1
0%
31000 1
0%
32000 10
0.4%
32500 1
0%
33000 1
0%
34460 1
0%
35000 37
1.5%
36000 8
0.3%
37000 7
0.3%
38000 8
0.3%
39000 1
0%
40000 39
1.6%
41000 1
0%
41500 1
0%
42000 2
0.1%
43000 6
0.2%
43500 1
0%
45000 17
0.7%
46000 1
0%
47000 6
0.2%
48000 5
0.2%
50000 93
3.8%
51000 1
0%
52000 2
0.1%
54000 3
0.1%
55000 8
0.3%
56000 2
0.1%
59000 2
0.1%
60000 48
2%
61000 1
0%
62000 2
0.1%
63000 1
0%
65000 9
0.4%
66000 1
0%
67000 1
0%
68000 1
0%
68900 1
0%
70000 38
1.6%
72000 1
0%
75000 12
0.5%
78000 4
0.2%
79000 1
0%
80000 33
1.4%
82000 1
0%
85000 6
0.2%
87000 1
0%
89000 1
0%
90000 6
0.2%
93000 1
0%
95000 1
0%
96200 1
0%
98000 2
0.1%
100000 55
2.3%
102000 2
0.1%
105000 3
0.1%
110000 2
0.1%
112000 1
0%
114000 1
0%
115000 1
0%
116000 1
0%
120000 21
0.9%
126000 1
0%
130000 4
0.2%
133000 1
0%
135000 2
0.1%
140000 1
0%
147000 1
0%
150000 35
1.4%
160000 4
0.2%
166000 1
0%
168000 1
0%
170000 6
0.2%
175000 1
0%
180000 9
0.4%
182000 1
0%
187000 1
0%
200000 23
0.9%
202000 1
0%
220000 2
0.1%
240000 3
0.1%
250000 10
0.4%
260000 1
0%
270000 2
0.1%
280000 1
0%
290000 1
0%
300000 11
0.5%
350000 7
0.3%
400000 1
0%
480000 1
0%
500000 1
0%
578000 1
0%
700000 2
0.1%
800000 1
0%
900000 1
0%
1000000 1
0%
1200000 1
0%
5000000 1
0%
Sysmiss 2717
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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