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    Home / Central Data Catalog / GHA_2003_WHS_V01_M / variable [F5]
central

World Health Survey 2003
Wave 0

Ghana, 2003
Reference ID
GHA_2003_WHS_v01_M
Producer(s)
World Health Organization (WHO)
Collections
Health
Metadata
DDI/XML JSON
Created on
Feb 13, 2013
Last modified
Dec 05, 2013
Page views
1023556
Downloads
434
  • Study Description
  • Data Dictionary
  • Get Microdata
  • Data files
  • Ghana-ID
  • WHS-Ghana_F2
  • WHS-Ghana_F3
  • WHS-Ghana_F4
  • WHS-Ghana_F5
  • WHS-Ghana_F6
  • WHS-Ghana_F7

Medicines (q7310)

Data file: WHS-Ghana_F5

Overview

Valid: 1510
Invalid: 2428
Minimum: 0
Maximum: 2500001
Mean: 36883.246
Standard deviation: 98929.231
Type: Discrete
Decimal: 2
Start: 2325
End: 2334
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 63
4.2%
1 9
0.6%
2 1
0.1%
8 Do not know 276
18.3%
9 Not applicable, not have 69
4.6%
10 1
0.1%
20 1
0.1%
25 1
0.1%
40 2
0.1%
44 1
0.1%
122 1
0.1%
1000 4
0.3%
1100 1
0.1%
1500 2
0.1%
2000 7
0.5%
2500 2
0.1%
3000 7
0.5%
3500 2
0.1%
4000 10
0.7%
5000 42
2.8%
5500 1
0.1%
6000 11
0.7%
7000 7
0.5%
8000 14
0.9%
8500 1
0.1%
9000 5
0.3%
10000 69
4.6%
10500 1
0.1%
10600 1
0.1%
11000 6
0.4%
12000 21
1.4%
12500 1
0.1%
13000 2
0.1%
14000 7
0.5%
14900 1
0.1%
15000 71
4.7%
16000 5
0.3%
17000 10
0.7%
17200 1
0.1%
18000 6
0.4%
19000 2
0.1%
19500 1
0.1%
20000 100
6.6%
21000 4
0.3%
22000 5
0.3%
23000 2
0.1%
24000 5
0.3%
24500 1
0.1%
25000 50
3.3%
25500 1
0.1%
26000 4
0.3%
27000 8
0.5%
28000 12
0.8%
29000 5
0.3%
30000 97
6.4%
32000 8
0.5%
33000 2
0.1%
34000 1
0.1%
35000 41
2.7%
35500 1
0.1%
36000 7
0.5%
38000 2
0.1%
40000 46
3%
41000 3
0.2%
42000 3
0.2%
43000 1
0.1%
44000 2
0.1%
45000 23
1.5%
46000 4
0.3%
47000 3
0.2%
48000 2
0.1%
50000 66
4.4%
52000 1
0.1%
54000 1
0.1%
55000 11
0.7%
56000 1
0.1%
57000 3
0.2%
58000 5
0.3%
59000 1
0.1%
60000 41
2.7%
61000 1
0.1%
63000 1
0.1%
64000 2
0.1%
65000 10
0.7%
69000 1
0.1%
70000 15
1%
71000 1
0.1%
72000 1
0.1%
73000 1
0.1%
75000 9
0.6%
78000 1
0.1%
78750 1
0.1%
79000 1
0.1%
80000 22
1.5%
85000 3
0.2%
87000 1
0.1%
89000 1
0.1%
90000 6
0.4%
91000 1
0.1%
95000 4
0.3%
96000 1
0.1%
99000 1
0.1%
100000 20
1.3%
104000 1
0.1%
110000 2
0.1%
112000 1
0.1%
116000 1
0.1%
120000 12
0.8%
121000 1
0.1%
125000 1
0.1%
126000 1
0.1%
128000 1
0.1%
130000 3
0.2%
135000 1
0.1%
140000 1
0.1%
145000 1
0.1%
150000 17
1.1%
157000 1
0.1%
160000 1
0.1%
170000 1
0.1%
180000 2
0.1%
189000 1
0.1%
200000 8
0.5%
220000 1
0.1%
230000 1
0.1%
240000 1
0.1%
250000 5
0.3%
280000 1
0.1%
350000 3
0.2%
370000 1
0.1%
400000 3
0.2%
420000 1
0.1%
500000 1
0.1%
550000 1
0.1%
600000 4
0.3%
680000 1
0.1%
1000000 1
0.1%
1000009 1
0.1%
1250000 1
0.1%
2500001 1
0.1%
Sysmiss 2428
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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