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
Created on
Oct 14, 2024
Last modified
Oct 14, 2024
Page views
219565
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1212
traditional healers medical costs paid by uninsured hh members (n$) (q15_11_416)
Data file: NHIES 2015_16 household level
Overview
Valid:
205
Invalid:
9885
Minimum:
0
Maximum:
15000
Type:
Discrete
Decimal:
0
Width:
5
Range:
0 - 15000
Format:
Numeric
Questions and instructions
Literal question
15.11 What was the amount that your household spent on/contributed towards [ Healers (traditional, spiritual) ] in the private sector and which went to public sector in the past 12 months
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | nothing was paid | 13 |
6.3%
|
| 10 | 1 |
0.5%
|
|
| 20 | 3 |
1.5%
|
|
| 25 | 1 |
0.5%
|
|
| 40 | 2 |
1%
|
|
| 50 | 8 |
3.9%
|
|
| 60 | 3 |
1.5%
|
|
| 70 | 4 |
2%
|
|
| 100 | 15 |
7.3%
|
|
| 110 | 1 |
0.5%
|
|
| 120 | 1 |
0.5%
|
|
| 130 | 1 |
0.5%
|
|
| 150 | 8 |
3.9%
|
|
| 200 | 15 |
7.3%
|
|
| 220 | 4 |
2%
|
|
| 240 | 1 |
0.5%
|
|
| 250 | 5 |
2.4%
|
|
| 280 | 1 |
0.5%
|
|
| 300 | 12 |
5.9%
|
|
| 320 | 1 |
0.5%
|
|
| 350 | 3 |
1.5%
|
|
| 370 | 1 |
0.5%
|
|
| 380 | 1 |
0.5%
|
|
| 400 | 5 |
2.4%
|
|
| 410 | 1 |
0.5%
|
|
| 430 | 1 |
0.5%
|
|
| 450 | 1 |
0.5%
|
|
| 460 | 1 |
0.5%
|
|
| 500 | 18 |
8.8%
|
|
| 520 | 1 |
0.5%
|
|
| 600 | 8 |
3.9%
|
|
| 700 | 3 |
1.5%
|
|
| 730 | 1 |
0.5%
|
|
| 750 | 2 |
1%
|
|
| 800 | 8 |
3.9%
|
|
| 900 | 1 |
0.5%
|
|
| 1000 | 11 |
5.4%
|
|
| 1050 | 1 |
0.5%
|
|
| 1100 | 1 |
0.5%
|
|
| 1200 | 1 |
0.5%
|
|
| 1300 | 1 |
0.5%
|
|
| 1500 | 6 |
2.9%
|
|
| 1600 | 1 |
0.5%
|
|
| 1700 | 1 |
0.5%
|
|
| 2000 | 3 |
1.5%
|
|
| 2200 | 1 |
0.5%
|
|
| 2350 | 1 |
0.5%
|
|
| 2500 | 6 |
2.9%
|
|
| 3000 | 3 |
1.5%
|
|
| 4000 | 3 |
1.5%
|
|
| 4200 | 1 |
0.5%
|
|
| 4800 | 1 |
0.5%
|
|
| 5000 | 2 |
1%
|
|
| 6000 | 1 |
0.5%
|
|
| 7000 | 1 |
0.5%
|
|
| 8000 | 1 |
0.5%
|
|
| 12000 | 1 |
0.5%
|
|
| 15000 | 1 |
0.5%
|
|
| Sysmiss | 9885 |
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.