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    Home / Central Data Catalog / KEN_2003_WHS_V01_M / variable [F5]
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World Health Survey 2003

Kenya, 2003
World Health Organization (WHO)
Created on June 01, 2022 Last modified June 01, 2022 Page views 143713 Metadata DDI/XML JSON
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  • Data Description
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  • Kenya-ID
  • WHS-Kenya_F2
  • WHS-Kenya_F3
  • WHS-Kenya_F4
  • WHS-Kenya_F5
  • WHS-Kenya_F6
  • WHS-Kenya_F7
CSV JSON

Doctors fees (q7411)

Data file: WHS-Kenya_F5

Overview

Valid: 824
Invalid: 3593
Minimum: 0
Maximum: 800000
Mean: 2604.755
Standard deviation: 29122.062
Type: Discrete
Decimal: 2
Width: 9
Range: 0 - 17000
Format: Numeric

Questions and instructions

Literal question
Thinking about your [child’s] last hospital stay, how much did you or your household pay for: Doctor's fees
Categories
Value Category Cases
0 157
19.1%
4 1
0.1%
6 1
0.1%
8 Do not know 341
41.4%
9 Not applicable, not have 0
0%
10 2
0.2%
20 6
0.7%
40 1
0.1%
50 4
0.5%
70 1
0.1%
80 2
0.2%
100 10
1.2%
150 3
0.4%
160 1
0.1%
200 16
1.9%
240 1
0.1%
250 9
1.1%
280 1
0.1%
300 10
1.2%
320 1
0.1%
350 6
0.7%
380 1
0.1%
400 8
1%
440 1
0.1%
450 5
0.6%
470 1
0.1%
500 25
3%
550 1
0.1%
600 2
0.2%
670 1
0.1%
700 6
0.7%
750 5
0.6%
800 6
0.7%
840 1
0.1%
850 2
0.2%
870 1
0.1%
900 3
0.4%
960 1
0.1%
970 1
0.1%
980 1
0.1%
1000 14
1.7%
1040 1
0.1%
1050 1
0.1%
1060 1
0.1%
1100 2
0.2%
1110 1
0.1%
1130 1
0.1%
1200 7
0.8%
1250 1
0.1%
1300 1
0.1%
1400 2
0.2%
1480 1
0.1%
1500 14
1.7%
1520 1
0.1%
1540 1
0.1%
1550 1
0.1%
1600 5
0.6%
1670 1
0.1%
1700 2
0.2%
1800 6
0.7%
1900 1
0.1%
2000 17
2.1%
2100 1
0.1%
2200 1
0.1%
2300 2
0.2%
2500 8
1%
2700 1
0.1%
2800 1
0.1%
3000 12
1.5%
3400 1
0.1%
3500 5
0.6%
3900 2
0.2%
4000 7
0.8%
4400 1
0.1%
4500 1
0.1%
4800 2
0.2%
5000 6
0.7%
5500 2
0.2%
5600 1
0.1%
5800 1
0.1%
6000 9
1.1%
6500 2
0.2%
7000 2
0.2%
7500 1
0.1%
8000 3
0.4%
9000 1
0.1%
10000 3
0.4%
11000 1
0.1%
12000 3
0.4%
13000 1
0.1%
18000 2
0.2%
18840 1
0.1%
30000 2
0.2%
35000 2
0.2%
50000 1
0.1%
52000 1
0.1%
58000 1
0.1%
60000 1
0.1%
80000 1
0.1%
120000 1
0.1%
150000 1
0.1%
800000 1
0.1%
Sysmiss 3593
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.
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