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    Home / Central Data Catalog / BEN_2010_HRBF_V01_M_V01_A_PUF / variable [F12]
central

Health Results-Based Financing Impact Evaluation Survey 2010-2011

Benin, 2010 - 2011
Reference ID
BEN_2010_HRBF_v01_M_v01_A_PUF
Producer(s)
Christophe Lemière and Damien de Walque
Metadata
DDI/XML JSON
Created on
Apr 25, 2019
Last modified
Apr 25, 2019
Page views
911
  • Study Description
  • Data Description
  • Get Microdata
  • Data Files
  • Burkina-ID
  • WHS-Burkina_F2
  • WHS-Burkina_F3
  • WHS-Burkina_F4
  • WHS-Burkina_F5
  • WHS-Burkina_F6
  • WHS-Burkina_F7
CSV JSON

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
Range: -
Format:

Questions and instructions

Literal question
Thinking about your last visit, how much did you or your household pay for: Medicines
Categories
Value Category
0
8 Do not know
9 Not applicable, not have
80
100
150
200
220
225
250
300
320
350
375
400
420
450
460
500
550
560
600
615
625
650
700
705
740
750
800
820
850
900
915
950
1000
1050
1080
1100
1150
1200
1210
1220
1250
1265
1275
1280
1300
1350
1375
1400
1410
1420
1450
1460
1500
1515
1525
1530
1550
1560
1570
1600
1620
1630
1650
1675
1700
1720
1730
1750
1775
1800
1850
1900
1920
1950
1955
1990
2000
2050
2060
2065
2075
2100
2150
2170
2175
2200
2240
2250
2265
2300
2305
2350
2385
2390
2400
2415
2440
2450
2500
2550
2600
2650
2660
2700
2750
2800
2815
2820
2850
2870
2900
2915
2950
3000
3010
3020
3025
3050
3095
3100
3200
3220
3250
3300
3315
3360
3400
3428
3450
3480
3500
3600
3650
3690
3700
3750
3765
3800
3810
3930
4000
4105
4200
4205
4250
4300
4350
4400
4410
4450
4500
4555
4700
4750
4800
4875
4900
5000
5165
5200
5250
5300
5325
5400
5490
5500
5750
5800
5850
5900
6000
6300
6410
6500
6524
7000
7105
7140
7200
7300
7400
7500
7525
7600
7750
7800
8000
8015
8500
8750
8775
8851
9000
9030
9150
9500
10000
10500
10700
11000
11200
11275
11600
12000
12050
12365
12400
12500
12560
12600
13000
13500
14000
14299
15000
15500
16035
16800
17000
17500
17800
18000
18450
20000
21000
21500
22500
24000
25000
27000
30000
31000
38250
38500
40000
45000
49000
50000
54500
56500
60000
70000
87000
100000
110000
Sysmiss
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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