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    Home / Central Data Catalog / NAM_NSA_2015/16_NHIES_VO4 / variable [F4]
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Namibia Household Income and Expenditure Survey
2015/16

Namibia, 2015 - 2016
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Reference ID
NAM_NSA_2015/16_NHIES_VO4
Producer(s)
Namibia Statistics Agency
Metadata
Documentation in PDF DDI/XML JSON
Created on
Oct 14, 2024
Last modified
Oct 14, 2024
Page views
218788
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  • Study Description
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  • NHIES 2015_16
    household level
  • NHIES 2015_16
    individual
    level

private doctors and nurses fees paid uninsured hh members (n$/annum) (q15_10_402)

Data file: NHIES 2015_16 household level

Overview

Valid: 591
Invalid: 9499
Minimum: 0
Maximum: 72000
Type: Discrete
Decimal: 0
Width: 5
Range: 0 - 72000
Format: Numeric

Questions and instructions

Literal question
15.10 What was the amount that your household spent on/contributed towards [Doctors, psychiatrists, specialists, opticians, nurses, homeopaths, paediatricians, midwives ] in the private sector and which went to public sector in the past 12 months?
Categories
Value Category Cases
0 nothing was paid 330
55.8%
4 2
0.3%
8 8
1.4%
9 1
0.2%
10 1
0.2%
15 1
0.2%
20 4
0.7%
24 1
0.2%
25 1
0.2%
28 1
0.2%
30 5
0.8%
32 2
0.3%
40 1
0.2%
50 1
0.2%
52 1
0.2%
60 1
0.2%
70 1
0.2%
100 9
1.5%
120 4
0.7%
125 2
0.3%
131 1
0.2%
140 1
0.2%
150 9
1.5%
158 1
0.2%
200 14
2.4%
220 2
0.3%
230 1
0.2%
240 1
0.2%
245 1
0.2%
250 13
2.2%
260 1
0.2%
268 1
0.2%
270 1
0.2%
280 2
0.3%
290 1
0.2%
300 13
2.2%
350 3
0.5%
360 1
0.2%
400 11
1.9%
450 3
0.5%
470 1
0.2%
480 3
0.5%
500 24
4.1%
520 1
0.2%
550 1
0.2%
580 1
0.2%
586 1
0.2%
600 12
2%
640 1
0.2%
700 1
0.2%
750 1
0.2%
780 1
0.2%
800 8
1.4%
862 1
0.2%
890 1
0.2%
980 1
0.2%
1000 7
1.2%
1070 1
0.2%
1140 1
0.2%
1200 3
0.5%
1212 1
0.2%
1220 1
0.2%
1250 1
0.2%
1260 1
0.2%
1400 2
0.3%
1500 3
0.5%
1560 1
0.2%
1640 1
0.2%
1700 4
0.7%
1800 1
0.2%
2000 5
0.8%
2150 1
0.2%
2400 1
0.2%
2500 1
0.2%
2540 1
0.2%
2800 1
0.2%
3000 4
0.7%
3500 1
0.2%
4000 5
0.8%
5000 4
0.7%
5200 1
0.2%
5250 1
0.2%
6000 4
0.7%
6400 1
0.2%
9999 1
0.2%
10000 3
0.5%
11208 1
0.2%
12000 2
0.3%
13000 1
0.2%
15000 2
0.3%
18000 1
0.2%
20000 1
0.2%
34000 1
0.2%
56904 1
0.2%
72000 1
0.2%
Sysmiss 9499
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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