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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
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private doctors and nurses fees paid by insured hh members (n$/annum) (q15_06_402)

Data file: NHIES 2015_16 household level

Overview

Valid: 642
Invalid: 9448
Minimum: 0
Maximum: 888888
Type: Discrete
Decimal: 0
Width: 6
Range: 0 - 888888
Format: Numeric

Questions and instructions

Literal question
15.06 What was the amount your household spent on/contributed towards [Doctors, psychiatrists, specialists, opticians, nurses, homeopaths, paediatricians, midwives] in private sector and which went to public sector?
Categories
Value Category Cases
0 no amount was paid 93
14.5%
10 3
0.5%
14 1
0.2%
15 2
0.3%
16 1
0.2%
20 9
1.4%
25 1
0.2%
27 1
0.2%
30 8
1.2%
35 2
0.3%
36 2
0.3%
38 1
0.2%
40 4
0.6%
45 1
0.2%
46 1
0.2%
50 8
1.2%
55 1
0.2%
60 14
2.2%
63 1
0.2%
70 2
0.3%
75 2
0.3%
80 3
0.5%
87 1
0.2%
88 1
0.2%
89 1
0.2%
90 3
0.5%
94 1
0.2%
96 1
0.2%
100 18
2.8%
105 2
0.3%
106 1
0.2%
115 1
0.2%
120 7
1.1%
126 1
0.2%
132 2
0.3%
140 3
0.5%
144 2
0.3%
150 18
2.8%
154 1
0.2%
160 3
0.5%
162 1
0.2%
168 1
0.2%
180 8
1.2%
200 24
3.7%
205 1
0.2%
210 3
0.5%
220 1
0.2%
225 1
0.2%
228 1
0.2%
238 1
0.2%
240 5
0.8%
250 16
2.5%
251 1
0.2%
270 3
0.5%
272 1
0.2%
276 1
0.2%
300 18
2.8%
305 1
0.2%
320 2
0.3%
328 1
0.2%
336 1
0.2%
350 11
1.7%
360 3
0.5%
370 1
0.2%
380 1
0.2%
384 1
0.2%
390 2
0.3%
400 15
2.3%
420 3
0.5%
450 2
0.3%
480 2
0.3%
500 26
4%
516 1
0.2%
520 1
0.2%
540 1
0.2%
560 1
0.2%
580 1
0.2%
600 21
3.3%
610 1
0.2%
640 1
0.2%
660 1
0.2%
663 1
0.2%
670 2
0.3%
680 1
0.2%
700 3
0.5%
710 1
0.2%
725 1
0.2%
750 1
0.2%
768 1
0.2%
800 7
1.1%
850 2
0.3%
860 1
0.2%
900 7
1.1%
969 1
0.2%
999 3
0.5%
1000 19
3%
1050 1
0.2%
1080 1
0.2%
1200 8
1.2%
1300 1
0.2%
1345 1
0.2%
1350 1
0.2%
1400 1
0.2%
1450 1
0.2%
1500 14
2.2%
1550 1
0.2%
1560 1
0.2%
1580 1
0.2%
1600 1
0.2%
1680 1
0.2%
1700 1
0.2%
1800 4
0.6%
1900 1
0.2%
1920 3
0.5%
1950 1
0.2%
1990 1
0.2%
2000 24
3.7%
2100 1
0.2%
2280 1
0.2%
2400 3
0.5%
2500 7
1.1%
2800 3
0.5%
2900 1
0.2%
3000 7
1.1%
3290 1
0.2%
3500 6
0.9%
3600 3
0.5%
3800 1
0.2%
4000 2
0.3%
4500 2
0.3%
4560 1
0.2%
4800 1
0.2%
5000 11
1.7%
5050 1
0.2%
5333 1
0.2%
5500 1
0.2%
5800 1
0.2%
6000 7
1.1%
6500 1
0.2%
7000 2
0.3%
7500 2
0.3%
8000 7
1.1%
9000 3
0.5%
9999 1
0.2%
10000 5
0.8%
12000 2
0.3%
12400 1
0.2%
12500 1
0.2%
14000 1
0.2%
15000 3
0.5%
16000 1
0.2%
17200 1
0.2%
20000 1
0.2%
24000 2
0.3%
25000 1
0.2%
30000 2
0.3%
36000 1
0.2%
40000 1
0.2%
40800 1
0.2%
45000 1
0.2%
68000 1
0.2%
96000 1
0.2%
888888 1
0.2%
Sysmiss 9448
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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