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    Home / Central Data Catalog / WHO / CIV_2003_WHS_V01_M / variable [F11]
WHO

World Health Survey 2003

Côte d'Ivoire, 2003
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Reference ID
CIV_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
87754
Downloads
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  • Study Description
  • Data Description
  • Documentation
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  • Data files
  • CotedIvoire-ID
  • WHS-CotedIvoire_F2
  • WHS-Cotedivoire_F3
  • WHS-CotedIvoire_F4
  • WHS-CotedIvoire_F5
  • WHS-CotedIvoire_F6
  • WHS-CotedIvoire_F7

Medicines (q7310)

Data file: WHS-CotedIvoire_F5

Overview

Valid: 867
Invalid: 2317
Minimum: 0
Maximum: 300000
Mean: 6796.863
Standard deviation: 15981.812
Type: Discrete
Decimal: 2
Start: 2321
End: 2329
Width: 9
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 39
4.5%
1 3
0.3%
4 1
0.1%
5 1
0.1%
8 Do not know 161
18.6%
9 Not applicable, not have 90
10.4%
80 1
0.1%
100 1
0.1%
200 1
0.1%
225 1
0.1%
400 2
0.2%
500 6
0.7%
650 1
0.1%
800 2
0.2%
1000 7
0.8%
1200 4
0.5%
1250 1
0.1%
1300 2
0.2%
1400 3
0.3%
1500 8
0.9%
1560 1
0.1%
1600 3
0.3%
1700 1
0.1%
1750 1
0.1%
1800 3
0.3%
1850 1
0.1%
2000 15
1.7%
2085 1
0.1%
2100 1
0.1%
2400 3
0.3%
2500 20
2.3%
2650 1
0.1%
2700 3
0.3%
2780 1
0.1%
2800 3
0.3%
3000 31
3.6%
3100 1
0.1%
3200 1
0.1%
3300 1
0.1%
3320 1
0.1%
3350 1
0.1%
3400 1
0.1%
3415 1
0.1%
3450 1
0.1%
3500 12
1.4%
3600 3
0.3%
3695 1
0.1%
3750 1
0.1%
3800 4
0.5%
3810 1
0.1%
3875 1
0.1%
3900 1
0.1%
4000 16
1.8%
4400 1
0.1%
4440 1
0.1%
4480 1
0.1%
4500 10
1.2%
4800 1
0.1%
5000 58
6.7%
5230 1
0.1%
5250 1
0.1%
5300 1
0.1%
5400 1
0.1%
5500 6
0.7%
5700 1
0.1%
5750 1
0.1%
5815 1
0.1%
5830 1
0.1%
6000 15
1.7%
6040 1
0.1%
6050 1
0.1%
6350 1
0.1%
6500 7
0.8%
6530 1
0.1%
6700 2
0.2%
6750 1
0.1%
6800 1
0.1%
7000 34
3.9%
7200 1
0.1%
7435 1
0.1%
7500 11
1.3%
7600 1
0.1%
7700 1
0.1%
7800 1
0.1%
7850 1
0.1%
8000 31
3.6%
8175 1
0.1%
8500 5
0.6%
8800 1
0.1%
8900 1
0.1%
9000 6
0.7%
9500 2
0.2%
9800 1
0.1%
10000 31
3.6%
10500 1
0.1%
11000 3
0.3%
11280 1
0.1%
11500 1
0.1%
11700 1
0.1%
12000 14
1.6%
12415 1
0.1%
12500 2
0.2%
12600 1
0.1%
12960 1
0.1%
13000 12
1.4%
13800 1
0.1%
14000 2
0.2%
14500 3
0.3%
14800 1
0.1%
15000 20
2.3%
16000 4
0.5%
16005 1
0.1%
16500 1
0.1%
16810 1
0.1%
17000 4
0.5%
17500 2
0.2%
17800 1
0.1%
18000 5
0.6%
19000 1
0.1%
19500 1
0.1%
20000 16
1.8%
20040 1
0.1%
21000 1
0.1%
21600 1
0.1%
22000 3
0.3%
23000 1
0.1%
23340 1
0.1%
23500 1
0.1%
25000 2
0.2%
27400 1
0.1%
29000 2
0.2%
30000 6
0.7%
32000 2
0.2%
34700 1
0.1%
35000 2
0.2%
36000 1
0.1%
37000 1
0.1%
40000 5
0.6%
41000 1
0.1%
45000 2
0.2%
47000 1
0.1%
49000 1
0.1%
50000 4
0.5%
58000 1
0.1%
60000 2
0.2%
100000 1
0.1%
250000 1
0.1%
300000 1
0.1%
Sysmiss 2317
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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