Namibia Household Income and Expenditure Survey
2015/16
Namibia, 2015 - 2016
Get Microdata
Reference ID
NAM_NSA_2015/16_NHIES_VO4
Producer(s)
Namibia Statistics Agency
Metadata
Created on
Oct 14, 2024
Last modified
Oct 14, 2024
Page views
218920
Downloads
1212
non-prescription medicines costs paid by insured hh members (n$/annum) (q15_07_408)
Data file: NHIES 2015_16 household level
Overview
Valid:
623
Invalid:
9467
Minimum:
0
Maximum:
72000
Type:
Discrete
Decimal:
0
Width:
5
Range:
0 - 72000
Format:
Numeric
Questions and instructions
Literal question
15.07 What was the amount your household spent on/contributed towards [ Medicines without prescription (patent medicine, cough mixtures, laxatives, fruit salts, pain killers, vitamins, etc.) ] in private sector and which went to public sector?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | no amount was paid | 16 |
2.6%
|
| 3 | 1 |
0.2%
|
|
| 4 | 1 |
0.2%
|
|
| 5 | 2 |
0.3%
|
|
| 7 | 1 |
0.2%
|
|
| 8 | 1 |
0.2%
|
|
| 10 | 1 |
0.2%
|
|
| 12 | 2 |
0.3%
|
|
| 13 | 2 |
0.3%
|
|
| 15 | 4 |
0.6%
|
|
| 16 | 1 |
0.2%
|
|
| 20 | 13 |
2.1%
|
|
| 24 | 1 |
0.2%
|
|
| 25 | 4 |
0.6%
|
|
| 28 | 1 |
0.2%
|
|
| 29 | 1 |
0.2%
|
|
| 30 | 10 |
1.6%
|
|
| 35 | 1 |
0.2%
|
|
| 38 | 1 |
0.2%
|
|
| 40 | 4 |
0.6%
|
|
| 45 | 3 |
0.5%
|
|
| 49 | 1 |
0.2%
|
|
| 50 | 33 |
5.3%
|
|
| 51 | 1 |
0.2%
|
|
| 56 | 1 |
0.2%
|
|
| 57 | 1 |
0.2%
|
|
| 58 | 3 |
0.5%
|
|
| 59 | 2 |
0.3%
|
|
| 60 | 20 |
3.2%
|
|
| 66 | 1 |
0.2%
|
|
| 70 | 7 |
1.1%
|
|
| 74 | 1 |
0.2%
|
|
| 80 | 4 |
0.6%
|
|
| 85 | 1 |
0.2%
|
|
| 89 | 1 |
0.2%
|
|
| 90 | 3 |
0.5%
|
|
| 93 | 1 |
0.2%
|
|
| 95 | 1 |
0.2%
|
|
| 98 | 2 |
0.3%
|
|
| 100 | 40 |
6.4%
|
|
| 108 | 1 |
0.2%
|
|
| 109 | 1 |
0.2%
|
|
| 110 | 1 |
0.2%
|
|
| 120 | 9 |
1.4%
|
|
| 125 | 1 |
0.2%
|
|
| 130 | 2 |
0.3%
|
|
| 136 | 1 |
0.2%
|
|
| 140 | 5 |
0.8%
|
|
| 150 | 37 |
5.9%
|
|
| 158 | 1 |
0.2%
|
|
| 160 | 1 |
0.2%
|
|
| 170 | 1 |
0.2%
|
|
| 180 | 9 |
1.4%
|
|
| 192 | 1 |
0.2%
|
|
| 199 | 1 |
0.2%
|
|
| 200 | 61 |
9.8%
|
|
| 203 | 1 |
0.2%
|
|
| 208 | 1 |
0.2%
|
|
| 210 | 1 |
0.2%
|
|
| 230 | 3 |
0.5%
|
|
| 240 | 3 |
0.5%
|
|
| 243 | 1 |
0.2%
|
|
| 250 | 19 |
3%
|
|
| 252 | 1 |
0.2%
|
|
| 256 | 1 |
0.2%
|
|
| 260 | 1 |
0.2%
|
|
| 264 | 1 |
0.2%
|
|
| 280 | 5 |
0.8%
|
|
| 300 | 44 |
7.1%
|
|
| 302 | 1 |
0.2%
|
|
| 308 | 1 |
0.2%
|
|
| 340 | 1 |
0.2%
|
|
| 350 | 12 |
1.9%
|
|
| 360 | 1 |
0.2%
|
|
| 380 | 2 |
0.3%
|
|
| 400 | 16 |
2.6%
|
|
| 408 | 1 |
0.2%
|
|
| 419 | 1 |
0.2%
|
|
| 420 | 1 |
0.2%
|
|
| 430 | 1 |
0.2%
|
|
| 450 | 5 |
0.8%
|
|
| 480 | 3 |
0.5%
|
|
| 500 | 50 |
8%
|
|
| 540 | 1 |
0.2%
|
|
| 550 | 3 |
0.5%
|
|
| 560 | 1 |
0.2%
|
|
| 580 | 3 |
0.5%
|
|
| 586 | 1 |
0.2%
|
|
| 600 | 11 |
1.8%
|
|
| 680 | 2 |
0.3%
|
|
| 700 | 3 |
0.5%
|
|
| 800 | 9 |
1.4%
|
|
| 960 | 1 |
0.2%
|
|
| 1000 | 19 |
3%
|
|
| 1060 | 1 |
0.2%
|
|
| 1200 | 10 |
1.6%
|
|
| 1275 | 1 |
0.2%
|
|
| 1300 | 1 |
0.2%
|
|
| 1440 | 1 |
0.2%
|
|
| 1500 | 2 |
0.3%
|
|
| 1585 | 1 |
0.2%
|
|
| 1700 | 1 |
0.2%
|
|
| 1800 | 1 |
0.2%
|
|
| 2000 | 13 |
2.1%
|
|
| 2300 | 1 |
0.2%
|
|
| 2400 | 4 |
0.6%
|
|
| 2500 | 3 |
0.5%
|
|
| 3000 | 3 |
0.5%
|
|
| 3360 | 1 |
0.2%
|
|
| 3500 | 1 |
0.2%
|
|
| 3600 | 1 |
0.2%
|
|
| 4000 | 2 |
0.3%
|
|
| 4200 | 1 |
0.2%
|
|
| 4500 | 1 |
0.2%
|
|
| 4800 | 2 |
0.3%
|
|
| 5000 | 4 |
0.6%
|
|
| 6000 | 2 |
0.3%
|
|
| 7200 | 1 |
0.2%
|
|
| 10000 | 1 |
0.2%
|
|
| 12000 | 2 |
0.3%
|
|
| 72000 | 1 |
0.2%
|
|
| Sysmiss | 9467 |
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.