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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
219788
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  • Study Description
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  • NHIES 2015_16
    household level
  • NHIES 2015_16
    individual
    level

employer payments towards life insurance and endowment policies (n$/annum) (q19_04_824)

Data file: NHIES 2015_16 household level

Overview

Valid: 120
Invalid: 9970
Minimum: 5
Maximum: 240000
Type: Discrete
Decimal: 0
Width: 6
Range: 1 - 240000
Format: Numeric

Questions and instructions

Literal question
19.04 How much have you paid for the [Life insurance and endowment policies (incl. study policies) ] during the past 12 months?
Categories
Value Category Cases
1 yes 0
0%
2 no 0
0%
5 1
0.8%
18 1
0.8%
78 1
0.8%
120 2
1.7%
150 1
0.8%
160 1
0.8%
200 1
0.8%
250 1
0.8%
300 3
2.5%
350 2
1.7%
420 1
0.8%
480 2
1.7%
500 2
1.7%
550 1
0.8%
570 1
0.8%
580 1
0.8%
600 1
0.8%
785 1
0.8%
800 1
0.8%
1000 2
1.7%
1200 2
1.7%
1225 1
0.8%
1300 1
0.8%
1320 2
1.7%
1344 1
0.8%
1361 1
0.8%
1440 2
1.7%
1443 1
0.8%
1500 1
0.8%
1704 1
0.8%
1800 2
1.7%
1860 1
0.8%
2016 1
0.8%
2100 1
0.8%
2160 1
0.8%
2376 1
0.8%
2400 3
2.5%
2472 1
0.8%
2652 1
0.8%
2800 1
0.8%
2808 1
0.8%
2844 1
0.8%
2940 1
0.8%
3000 5
4.2%
3120 1
0.8%
3192 1
0.8%
3480 1
0.8%
3500 1
0.8%
3600 2
1.7%
4000 1
0.8%
4080 1
0.8%
4224 1
0.8%
4440 1
0.8%
4560 1
0.8%
4700 1
0.8%
4764 1
0.8%
4800 3
2.5%
5000 1
0.8%
5244 1
0.8%
5500 1
0.8%
5940 1
0.8%
6000 6
5%
6276 1
0.8%
6300 1
0.8%
6600 1
0.8%
6720 1
0.8%
7476 1
0.8%
7800 1
0.8%
8150 1
0.8%
8400 1
0.8%
8544 1
0.8%
9000 1
0.8%
9299 1
0.8%
9608 1
0.8%
10000 2
1.7%
10524 1
0.8%
10800 2
1.7%
10932 1
0.8%
11952 1
0.8%
12000 3
2.5%
13200 1
0.8%
16000 1
0.8%
18000 2
1.7%
28000 1
0.8%
28800 1
0.8%
54000 1
0.8%
72000 2
1.7%
84000 1
0.8%
240000 1
0.8%
Sysmiss 9970
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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