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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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non-prescription medicines costs paid by uninsured hh members (n$) (q15_11_418)

Data file: NHIES 2015_16 household level

Overview

Valid: 2149
Invalid: 7941
Minimum: 0
Maximum: 18000
Type: Discrete
Decimal: 0
Width: 5
Range: 0 - 18000
Format: Numeric

Questions and instructions

Literal question
15.11 What was the amount that your household spent on/contributed towards [Medicines without prescription ( patent medicine, cough mixtures, laxatives, fruit salts, pain killers, vitamins, etc.) ] in the private sector and which went to public sector in the past 12 months
Categories
Value Category Cases
0 nothing was paid 30
1.4%
2 5
0.2%
3 18
0.8%
4 14
0.7%
5 22
1%
6 12
0.6%
7 6
0.3%
8 15
0.7%
9 4
0.2%
10 75
3.5%
12 24
1.1%
13 4
0.2%
14 5
0.2%
15 31
1.4%
16 6
0.3%
17 1
0%
18 7
0.3%
20 140
6.5%
21 4
0.2%
22 5
0.2%
23 1
0%
24 15
0.7%
25 41
1.9%
26 9
0.4%
27 5
0.2%
28 7
0.3%
29 4
0.2%
30 110
5.1%
31 1
0%
33 1
0%
34 2
0.1%
35 29
1.3%
36 13
0.6%
37 2
0.1%
38 4
0.2%
40 50
2.3%
42 2
0.1%
44 2
0.1%
45 15
0.7%
46 1
0%
47 1
0%
48 6
0.3%
50 219
10.2%
52 1
0%
53 4
0.2%
54 3
0.1%
55 4
0.2%
56 4
0.2%
57 2
0.1%
58 7
0.3%
59 3
0.1%
60 73
3.4%
61 1
0%
63 2
0.1%
65 4
0.2%
66 1
0%
67 2
0.1%
68 2
0.1%
69 2
0.1%
70 24
1.1%
72 3
0.1%
74 1
0%
75 4
0.2%
76 1
0%
78 3
0.1%
79 2
0.1%
80 53
2.5%
83 3
0.1%
85 7
0.3%
88 1
0%
90 18
0.8%
92 1
0%
95 2
0.1%
96 3
0.1%
98 2
0.1%
100 165
7.7%
104 1
0%
105 3
0.1%
106 1
0%
110 4
0.2%
112 1
0%
115 1
0%
120 50
2.3%
122 1
0%
124 2
0.1%
130 8
0.4%
135 2
0.1%
140 6
0.3%
144 3
0.1%
145 2
0.1%
146 1
0%
150 109
5.1%
152 1
0%
154 1
0%
156 1
0%
157 1
0%
160 4
0.2%
162 2
0.1%
168 1
0%
169 1
0%
170 7
0.3%
179 1
0%
180 16
0.7%
185 2
0.1%
186 1
0%
190 1
0%
192 1
0%
196 1
0%
200 119
5.5%
202 1
0%
204 1
0%
205 1
0%
206 1
0%
210 1
0%
216 1
0%
220 2
0.1%
229 1
0%
230 4
0.2%
235 1
0%
240 11
0.5%
245 1
0%
246 1
0%
250 37
1.7%
252 1
0%
256 1
0%
260 2
0.1%
267 1
0%
270 1
0%
280 7
0.3%
288 1
0%
290 2
0.1%
300 79
3.7%
306 1
0%
312 1
0%
313 1
0%
319 1
0%
336 1
0%
340 1
0%
350 26
1.2%
358 1
0%
360 6
0.3%
374 1
0%
378 1
0%
380 2
0.1%
385 1
0%
393 1
0%
400 32
1.5%
420 4
0.2%
432 1
0%
439 1
0%
450 6
0.3%
468 1
0%
480 1
0%
500 57
2.7%
530 1
0%
540 1
0%
550 1
0%
560 2
0.1%
585 1
0%
600 29
1.3%
650 1
0%
700 6
0.3%
720 2
0.1%
800 13
0.6%
850 1
0%
900 1
0%
950 1
0%
960 2
0.1%
1000 14
0.7%
1200 7
0.3%
1356 1
0%
1500 6
0.3%
1800 1
0%
1884 1
0%
1920 1
0%
2000 4
0.2%
2400 1
0%
3000 2
0.1%
3600 3
0.1%
4000 2
0.1%
4308 1
0%
4800 1
0%
6000 1
0%
15000 1
0%
18000 1
0%
Sysmiss 7941
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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