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    Home / Central Data Catalog / WHO / BFA_2003_WHS_V01_M / variable [F12]
WHO

World Health Survey 2003

Burkina Faso, 2003
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Reference ID
BFA_2003_WHS_v01_M
Producer(s)
World Health Organization (WHO)
Collection(s)
WHO’s Multi-Country Studies Programmes Fragility, Conflict and Violence
Metadata
DDI/XML JSON
Study website
Created on
Oct 17, 2013
Last modified
Oct 17, 2013
Page views
241683
Downloads
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  • Study Description
  • Data Description
  • Documentation
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  • Data files
  • Burkina-ID
  • WHS-Burkina_F2
  • WHS-Burkina_F3
  • WHS-Burkina_F4
  • WHS-Burkina_F5
  • WHS-Burkina_F6
  • WHS-Burkina_F7

Medicines (q7310)

Data file: WHS-Burkina_F5

Overview

Valid: 1284
Invalid: 3541
Minimum: 0
Maximum: 110000
Mean: 4670.6
Standard deviation: 8786.931
Type: Discrete
Decimal: 2
Start: 2322
End: 2330
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 29
2.3%
8 Do not know 107
8.3%
9 Not applicable, not have 62
4.8%
80 1
0.1%
100 4
0.3%
150 1
0.1%
200 5
0.4%
220 1
0.1%
225 1
0.1%
250 2
0.2%
300 8
0.6%
320 1
0.1%
350 1
0.1%
375 2
0.2%
400 13
1%
420 2
0.2%
450 5
0.4%
460 1
0.1%
500 30
2.3%
550 2
0.2%
560 1
0.1%
600 12
0.9%
615 1
0.1%
625 1
0.1%
650 3
0.2%
700 9
0.7%
705 1
0.1%
740 1
0.1%
750 15
1.2%
800 10
0.8%
820 1
0.1%
850 3
0.2%
900 6
0.5%
915 1
0.1%
950 5
0.4%
1000 48
3.7%
1050 1
0.1%
1080 1
0.1%
1100 4
0.3%
1150 3
0.2%
1200 14
1.1%
1210 1
0.1%
1220 1
0.1%
1250 13
1%
1265 1
0.1%
1275 1
0.1%
1280 1
0.1%
1300 9
0.7%
1350 5
0.4%
1375 2
0.2%
1400 2
0.2%
1410 1
0.1%
1420 1
0.1%
1450 1
0.1%
1460 1
0.1%
1500 54
4.2%
1515 1
0.1%
1525 1
0.1%
1530 1
0.1%
1550 2
0.2%
1560 1
0.1%
1570 1
0.1%
1600 4
0.3%
1620 1
0.1%
1630 1
0.1%
1650 2
0.2%
1675 1
0.1%
1700 3
0.2%
1720 1
0.1%
1730 1
0.1%
1750 13
1%
1775 1
0.1%
1800 12
0.9%
1850 2
0.2%
1900 3
0.2%
1920 1
0.1%
1950 1
0.1%
1955 1
0.1%
1990 1
0.1%
2000 51
4%
2050 1
0.1%
2060 1
0.1%
2065 1
0.1%
2075 1
0.1%
2100 6
0.5%
2150 3
0.2%
2170 1
0.1%
2175 1
0.1%
2200 3
0.2%
2240 1
0.1%
2250 7
0.5%
2265 1
0.1%
2300 10
0.8%
2305 1
0.1%
2350 3
0.2%
2385 1
0.1%
2390 1
0.1%
2400 12
0.9%
2415 1
0.1%
2440 1
0.1%
2450 3
0.2%
2500 43
3.3%
2550 1
0.1%
2600 4
0.3%
2650 2
0.2%
2660 2
0.2%
2700 5
0.4%
2750 3
0.2%
2800 7
0.5%
2815 2
0.2%
2820 1
0.1%
2850 1
0.1%
2870 1
0.1%
2900 1
0.1%
2915 1
0.1%
2950 1
0.1%
3000 50
3.9%
3010 1
0.1%
3020 1
0.1%
3025 1
0.1%
3050 1
0.1%
3095 1
0.1%
3100 1
0.1%
3200 7
0.5%
3220 1
0.1%
3250 2
0.2%
3300 3
0.2%
3315 1
0.1%
3360 1
0.1%
3400 1
0.1%
3428 1
0.1%
3450 2
0.2%
3480 1
0.1%
3500 42
3.3%
3600 2
0.2%
3650 1
0.1%
3690 1
0.1%
3700 2
0.2%
3750 6
0.5%
3765 1
0.1%
3800 4
0.3%
3810 1
0.1%
3930 1
0.1%
4000 27
2.1%
4105 1
0.1%
4200 5
0.4%
4205 1
0.1%
4250 4
0.3%
4300 1
0.1%
4350 1
0.1%
4400 4
0.3%
4410 1
0.1%
4450 1
0.1%
4500 17
1.3%
4555 1
0.1%
4700 1
0.1%
4750 1
0.1%
4800 2
0.2%
4875 1
0.1%
4900 1
0.1%
5000 32
2.5%
5165 1
0.1%
5200 1
0.1%
5250 1
0.1%
5300 2
0.2%
5325 1
0.1%
5400 1
0.1%
5490 1
0.1%
5500 7
0.5%
5750 1
0.1%
5800 1
0.1%
5850 1
0.1%
5900 1
0.1%
6000 25
1.9%
6300 1
0.1%
6410 1
0.1%
6500 4
0.3%
6524 1
0.1%
7000 15
1.2%
7105 1
0.1%
7140 1
0.1%
7200 1
0.1%
7300 1
0.1%
7400 1
0.1%
7500 19
1.5%
7525 1
0.1%
7600 1
0.1%
7750 1
0.1%
7800 2
0.2%
8000 16
1.2%
8015 1
0.1%
8500 5
0.4%
8750 1
0.1%
8775 1
0.1%
8851 1
0.1%
9000 6
0.5%
9030 1
0.1%
9150 1
0.1%
9500 1
0.1%
10000 26
2%
10500 2
0.2%
10700 1
0.1%
11000 6
0.5%
11200 1
0.1%
11275 1
0.1%
11600 1
0.1%
12000 12
0.9%
12050 1
0.1%
12365 1
0.1%
12400 1
0.1%
12500 7
0.5%
12560 1
0.1%
12600 1
0.1%
13000 2
0.2%
13500 3
0.2%
14000 6
0.5%
14299 1
0.1%
15000 25
1.9%
15500 1
0.1%
16035 1
0.1%
16800 1
0.1%
17000 3
0.2%
17500 1
0.1%
17800 1
0.1%
18000 3
0.2%
18450 1
0.1%
20000 10
0.8%
21000 1
0.1%
21500 1
0.1%
22500 1
0.1%
24000 1
0.1%
25000 5
0.4%
27000 1
0.1%
30000 10
0.8%
31000 1
0.1%
38250 1
0.1%
38500 1
0.1%
40000 1
0.1%
45000 1
0.1%
49000 1
0.1%
50000 3
0.2%
54500 1
0.1%
56500 1
0.1%
60000 4
0.3%
70000 2
0.2%
87000 1
0.1%
100000 1
0.1%
110000 1
0.1%
Sysmiss 3541
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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