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    Home / Central Data Catalog / WHO / BGD_2003_WHS_V01_M / variable [F11]
WHO

World Health Survey 2003

Bangladesh, 2003
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Reference ID
BGD_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
75493
Downloads
19
  • Study Description
  • Data Description
  • Documentation
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  • Data files
  • Bangladesh-ID
  • WHS-Bangladesh_F2
  • WHS-Bangladesh_F3
  • WHS-Bangladesh_F4
  • WHS-Bangladesh_F5
  • WHS-Bangladesh_F6
  • WHS-Bangladesh_F7

Medicines (q7310)

Data file: WHS-Bangladesh_F5

Overview

Valid: 4057
Invalid: 1495
Minimum: 0
Maximum: 30000
Mean: 293.461
Standard deviation: 974.341
Type: Discrete
Decimal: 2
Width: 8
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 73
1.8%
1 1
0%
2 9
0.2%
3 3
0.1%
4 8
0.2%
5 45
1.1%
6 7
0.2%
7 8
0.2%
8 108
2.7%
9 113
2.8%
10 114
2.8%
11 1
0%
12 19
0.5%
13 3
0.1%
14 7
0.2%
15 60
1.5%
16 3
0.1%
17 2
0%
18 8
0.2%
19 2
0%
20 166
4.1%
21 3
0.1%
22 7
0.2%
23 1
0%
24 8
0.2%
25 63
1.6%
26 6
0.1%
27 2
0%
28 2
0%
29 2
0%
30 129
3.2%
32 7
0.2%
34 1
0%
35 33
0.8%
36 1
0%
37 1
0%
38 1
0%
39 1
0%
40 87
2.1%
42 2
0%
43 1
0%
44 1
0%
45 21
0.5%
46 3
0.1%
49 1
0%
50 258
6.4%
51 2
0%
52 1
0%
53 1
0%
55 14
0.3%
56 4
0.1%
57 2
0%
58 2
0%
59 1
0%
60 110
2.7%
62 2
0%
63 2
0%
64 3
0.1%
65 12
0.3%
66 1
0%
67 2
0%
68 1
0%
70 69
1.7%
72 1
0%
74 1
0%
75 14
0.3%
77 1
0%
80 53
1.3%
81 1
0%
82 3
0.1%
83 2
0%
84 2
0%
85 8
0.2%
86 2
0%
88 1
0%
90 35
0.9%
93 1
0%
95 7
0.2%
96 3
0.1%
98 1
0%
99 1
0%
100 366
9%
102 1
0%
105 9
0.2%
107 2
0%
108 2
0%
110 18
0.4%
112 2
0%
113 2
0%
115 4
0.1%
117 1
0%
119 1
0%
120 47
1.2%
121 1
0%
122 1
0%
125 12
0.3%
126 1
0%
127 1
0%
130 24
0.6%
131 1
0%
135 4
0.1%
138 1
0%
140 9
0.2%
142 2
0%
145 2
0%
147 1
0%
150 203
5%
153 1
0%
155 2
0%
160 10
0.2%
161 1
0%
164 1
0%
165 6
0.1%
166 1
0%
170 10
0.2%
172 1
0%
174 2
0%
175 7
0.2%
180 16
0.4%
185 3
0.1%
189 1
0%
190 3
0.1%
195 4
0.1%
200 314
7.7%
210 3
0.1%
213 1
0%
215 3
0.1%
220 8
0.2%
224 1
0%
225 6
0.1%
230 4
0.1%
235 2
0%
240 6
0.1%
245 1
0%
247 1
0%
250 112
2.8%
260 11
0.3%
265 3
0.1%
270 5
0.1%
272 1
0%
275 3
0.1%
280 7
0.2%
285 1
0%
286 1
0%
290 1
0%
300 217
5.3%
308 1
0%
315 1
0%
316 1
0%
317 1
0%
320 2
0%
325 2
0%
330 1
0%
340 1
0%
350 30
0.7%
360 2
0%
364 1
0%
365 2
0%
370 4
0.1%
372 1
0%
375 2
0%
390 2
0%
400 106
2.6%
420 1
0%
430 1
0%
440 1
0%
450 25
0.6%
460 1
0%
470 1
0%
490 1
0%
495 1
0%
500 205
5.1%
509 1
0%
520 2
0%
535 1
0%
550 8
0.2%
555 1
0%
556 1
0%
565 1
0%
575 1
0%
580 1
0%
600 36
0.9%
630 1
0%
650 6
0.1%
700 44
1.1%
725 1
0%
730 1
0%
735 1
0%
750 5
0.1%
760 1
0%
780 1
0%
800 33
0.8%
885 1
0%
900 12
0.3%
950 1
0%
1000 68
1.7%
1011 1
0%
1065 1
0%
1100 7
0.2%
1150 1
0%
1200 26
0.6%
1250 1
0%
1263 1
0%
1300 4
0.1%
1350 1
0%
1400 4
0.1%
1500 24
0.6%
1600 3
0.1%
1700 3
0.1%
1800 4
0.1%
2000 24
0.6%
2250 2
0%
2400 2
0%
2500 10
0.2%
3000 10
0.2%
3500 3
0.1%
3600 1
0%
4000 6
0.1%
4500 1
0%
5000 4
0.1%
6000 7
0.2%
6500 1
0%
7000 2
0%
8000 2
0%
9000 1
0%
10000 1
0%
15000 1
0%
16500 1
0%
18000 1
0%
20000 2
0%
30000 1
0%
Sysmiss 1495
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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