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    Home / Data Portal / NIDS / ZAF-SALDRU-NIDSSD-2017-V1.0.0 / variable [F5]
NIDS

National Income Dynamics Study 2017, Wave 5 Secure Data

South Africa, 2017
Get Microdata
Reference ID
zaf-saldru-nidssd-2017-v1.0.0
Producer(s)
Southern Africa Labour and Development Research Unit,
Collections
National Income Dynamics Study
Metadata
DDI/XML JSON
Created on
Aug 28, 2018
Last modified
Aug 29, 2018
Page views
162257
Downloads
1582
  • Study Description
  • Data Description
  • Downloads
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  • Related Publications
  • Data files
  • admin_w5_secure_v1.0.0
  • adult_w5_secure_v1.0.0
  • child_w5_secure_v1.0.0
  • hhderived_w5_secure_v1.0.0
  • hhquestionnaire_w5_secure_v1.0.0
  • householdroster_w5_secure_v1.0.0
  • indderived_w5_secure_v1.0.0
  • link_file_w5_secure_v1.0.0
  • proxy_w5_secure_v1.0.0

d14 - Value of repairs/improvements on dwelling (w5_h_dwlrepr_v)

Data file: hhquestionnaire_w5_secure_v1.0.0

Overview

Valid: 2215
Invalid: 11504
Type: Discrete
Decimal: 0
Width: 7
Range: -9 - 2500000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-9 Don't Know 351
2.6%
-8 Refused 9
0.1%
-5 Not Applicable 0
0%
-3 Missing 0
0%
0 8
0.1%
38 1
0%
40 2
0%
60 1
0%
80 1
0%
90 1
0%
100 10
0.1%
110 1
0%
120 2
0%
140 1
0%
150 10
0.1%
170 1
0%
180 2
0%
200 16
0.1%
240 1
0%
250 4
0%
260 1
0%
280 1
0%
300 25
0.2%
320 6
0%
330 1
0%
340 1
0%
350 8
0.1%
360 1
0%
400 22
0.2%
450 1
0%
500 36
0.3%
540 1
0%
600 23
0.2%
625 1
0%
650 4
0%
670 1
0%
684 1
0%
700 12
0.1%
720 1
0%
750 1
0%
800 20
0.1%
850 1
0%
900 6
0%
920 1
0%
960 1
0%
980 1
0%
1000 46
0.3%
1100 2
0%
1160 1
0%
1200 16
0.1%
1215 1
0%
1220 1
0%
1300 1
0%
1400 3
0%
1500 54
0.4%
1600 4
0%
1650 1
0%
1700 1
0%
1800 7
0.1%
1900 2
0%
2000 73
0.5%
2008 1
0%
2100 1
0%
2200 1
0%
2300 1
0%
2360 1
0%
2400 1
0%
2500 38
0.3%
2600 5
0%
2700 4
0%
3000 103
0.8%
3100 1
0%
3200 2
0%
3400 3
0%
3500 25
0.2%
3600 2
0%
3700 2
0%
3750 1
0%
3800 2
0%
3850 1
0%
4000 43
0.3%
4100 1
0%
4200 1
0%
4250 1
0%
4500 10
0.1%
4600 3
0%
4648 1
0%
4800 1
0%
5000 96
0.7%
5200 2
0%
5400 1
0%
5500 2
0%
5600 1
0%
5700 1
0%
5800 1
0%
5875 1
0%
6000 56
0.4%
6200 2
0%
6300 1
0%
6500 7
0.1%
7000 37
0.3%
7500 7
0.1%
7600 1
0%
7800 1
0%
8000 31
0.2%
8400 1
0%
8500 3
0%
8900 1
0%
9000 9
0.1%
10000 104
0.8%
10500 1
0%
10800 1
0%
11000 9
0.1%
11930 1
0%
12000 30
0.2%
13000 9
0.1%
13600 1
0%
14000 6
0%
15000 66
0.5%
15200 1
0%
15345 1
0%
16000 5
0%
17000 8
0.1%
17500 1
0%
18000 12
0.1%
19000 1
0%
20000 71
0.5%
20500 1
0%
22000 6
0%
23000 4
0%
24000 2
0%
25000 41
0.3%
26000 2
0%
26017 1
0%
27000 1
0%
28000 1
0%
28900 1
0%
29000 1
0%
30000 83
0.6%
32000 2
0%
33000 1
0%
34000 2
0%
35000 21
0.2%
36000 2
0%
37000 3
0%
38000 1
0%
40000 38
0.3%
42000 2
0%
45000 16
0.1%
45500 1
0%
46000 1
0%
47000 1
0%
50000 42
0.3%
52000 1
0%
54000 1
0%
55000 6
0%
60000 22
0.2%
62000 1
0%
65000 3
0%
66000 1
0%
68000 1
0%
70000 18
0.1%
74000 1
0%
75000 7
0.1%
80000 18
0.1%
85000 3
0%
89400 1
0%
90000 4
0%
95000 1
0%
100000 62
0.5%
105000 1
0%
110000 3
0%
118000 1
0%
120000 10
0.1%
125000 2
0%
130000 2
0%
131000 1
0%
140000 2
0%
147000 1
0%
150000 19
0.1%
160000 1
0%
170000 2
0%
175000 1
0%
180000 3
0%
200000 17
0.1%
200050 1
0%
220000 1
0%
250000 14
0.1%
270000 1
0%
280000 1
0%
285000 1
0%
300000 12
0.1%
350000 5
0%
360000 1
0%
400000 7
0.1%
500000 7
0.1%
600000 2
0%
700000 1
0%
750000 2
0%
780000 1
0%
800000 2
0%
1700000 1
0%
2000000 1
0%
2500000 1
0%
Sysmiss 11504
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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