World Health Survey 2003
Zimbabwe, 2003
Get Microdata
Reference ID
ZWE_2003_WHS_v01_M
Producer(s)
World Health Organization (WHO)
Created on
Oct 17, 2013
Last modified
Oct 17, 2013
Page views
74119
Downloads
35
Health care providers fees (q7309)
Data file: WHS-Zimbabwe_F5
Overview
Valid:
1529
Invalid:
2571
Minimum:
0
Maximum:
169000
Mean:
825.645
Standard deviation:
6476.048
Type:
Discrete
Decimal:
2
Start:
2317
End:
2325
Width:
9
Range:
0 - 4200
Format:
Numeric
Questions and instructions
Literal question
Thinking about your last visit, how much did you or your household pay for: [Health care provider's] fees
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 761 |
49.8%
|
|
| 1 | 5 |
0.3%
|
|
| 3 | 1 |
0.1%
|
|
| 5 | 2 |
0.1%
|
|
| 8 | 17 |
1.1%
|
|
| 9 | 31 |
2%
|
|
| 10 | 7 |
0.5%
|
|
| 15 | 4 |
0.3%
|
|
| 20 | 15 |
1%
|
|
| 25 | 5 |
0.3%
|
|
| 30 | 6 |
0.4%
|
|
| 35 | 4 |
0.3%
|
|
| 40 | 3 |
0.2%
|
|
| 50 | 42 |
2.7%
|
|
| 55 | 1 |
0.1%
|
|
| 60 | 19 |
1.2%
|
|
| 70 | 5 |
0.3%
|
|
| 80 | 6 |
0.4%
|
|
| 85 | 1 |
0.1%
|
|
| 95 | 1 |
0.1%
|
|
| 100 | 53 |
3.5%
|
|
| 120 | 27 |
1.8%
|
|
| 130 | 2 |
0.1%
|
|
| 140 | 3 |
0.2%
|
|
| 145 | 1 |
0.1%
|
|
| 150 | 44 |
2.9%
|
|
| 160 | 3 |
0.2%
|
|
| 170 | 3 |
0.2%
|
|
| 180 | 7 |
0.5%
|
|
| 185 | 1 |
0.1%
|
|
| 200 | 45 |
2.9%
|
|
| 210 | 6 |
0.4%
|
|
| 215 | 1 |
0.1%
|
|
| 220 | 1 |
0.1%
|
|
| 223 | 1 |
0.1%
|
|
| 225 | 1 |
0.1%
|
|
| 230 | 1 |
0.1%
|
|
| 240 | 3 |
0.2%
|
|
| 250 | 21 |
1.4%
|
|
| 265 | 1 |
0.1%
|
|
| 270 | 1 |
0.1%
|
|
| 275 | 1 |
0.1%
|
|
| 300 | 31 |
2%
|
|
| 315 | 1 |
0.1%
|
|
| 320 | 4 |
0.3%
|
|
| 330 | 2 |
0.1%
|
|
| 350 | 2 |
0.1%
|
|
| 355 | 1 |
0.1%
|
|
| 360 | 1 |
0.1%
|
|
| 370 | 1 |
0.1%
|
|
| 380 | 2 |
0.1%
|
|
| 385 | 1 |
0.1%
|
|
| 400 | 14 |
0.9%
|
|
| 420 | 18 |
1.2%
|
|
| 425 | 1 |
0.1%
|
|
| 430 | 1 |
0.1%
|
|
| 440 | 1 |
0.1%
|
|
| 450 | 5 |
0.3%
|
|
| 480 | 2 |
0.1%
|
|
| 500 | 44 |
2.9%
|
|
| 507 | 1 |
0.1%
|
|
| 510 | 1 |
0.1%
|
|
| 540 | 1 |
0.1%
|
|
| 600 | 18 |
1.2%
|
|
| 630 | 1 |
0.1%
|
|
| 634 | 1 |
0.1%
|
|
| 640 | 2 |
0.1%
|
|
| 660 | 1 |
0.1%
|
|
| 680 | 2 |
0.1%
|
|
| 700 | 8 |
0.5%
|
|
| 750 | 4 |
0.3%
|
|
| 768 | 1 |
0.1%
|
|
| 800 | 14 |
0.9%
|
|
| 840 | 2 |
0.1%
|
|
| 850 | 3 |
0.2%
|
|
| 856 | 1 |
0.1%
|
|
| 875 | 1 |
0.1%
|
|
| 950 | 1 |
0.1%
|
|
| 1000 | 25 |
1.6%
|
|
| 1200 | 4 |
0.3%
|
|
| 1500 | 13 |
0.9%
|
|
| 1550 | 1 |
0.1%
|
|
| 1551 | 1 |
0.1%
|
|
| 1600 | 1 |
0.1%
|
|
| 1620 | 1 |
0.1%
|
|
| 1650 | 1 |
0.1%
|
|
| 1700 | 4 |
0.3%
|
|
| 1750 | 1 |
0.1%
|
|
| 1800 | 1 |
0.1%
|
|
| 2000 | 20 |
1.3%
|
|
| 2500 | 13 |
0.9%
|
|
| 2800 | 1 |
0.1%
|
|
| 2804 | 1 |
0.1%
|
|
| 2900 | 1 |
0.1%
|
|
| 3000 | 24 |
1.6%
|
|
| 3200 | 1 |
0.1%
|
|
| 3500 | 4 |
0.3%
|
|
| 4000 | 6 |
0.4%
|
|
| 4100 | 1 |
0.1%
|
|
| 4500 | 3 |
0.2%
|
|
| 5000 | 9 |
0.6%
|
|
| 5600 | 1 |
0.1%
|
|
| 6000 | 2 |
0.1%
|
|
| 6500 | 1 |
0.1%
|
|
| 6650 | 1 |
0.1%
|
|
| 7000 | 4 |
0.3%
|
|
| 7500 | 1 |
0.1%
|
|
| 8000 | 2 |
0.1%
|
|
| 8400 | 1 |
0.1%
|
|
| 9000 | 1 |
0.1%
|
|
| 9500 | 1 |
0.1%
|
|
| 10000 | 5 |
0.3%
|
|
| 12000 | 3 |
0.2%
|
|
| 15000 | 1 |
0.1%
|
|
| 20000 | 1 |
0.1%
|
|
| 25000 | 4 |
0.3%
|
|
| 28000 | 1 |
0.1%
|
|
| 50000 | 1 |
0.1%
|
|
| 70000 | 1 |
0.1%
|
|
| 150000 | 1 |
0.1%
|
|
| 169000 | 1 |
0.1%
|
|
| Sysmiss | 2571 |
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”.