Home / Data Portal / NIDS / ZAF-SALDRU-NIDS-2014-2015-V2.0.0 / variable [V6941]
NIDS

National Income Dynamics Study 2014-2015, Wave 4

South Africa, 2014 - 2015
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Reference ID
zaf-saldru-nids-2014-2015-v2.0.0
Producer(s)
Southern Africa Labour and Development Research Unit,
Collections
National Income Dynamics Study African Centre of Excellence for Inequality Research Southern Africa Labour and Development Research Unit
Metadata
DDI/XML JSON
Created on
May 17, 2016
Last modified
Jul 18, 2023
Page views
1795661
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Individual Pre-imputation Vehicle Assets (w4_pi_v_ass_i)

Data file: indderived_W4_Anon_V2.0.0

Overview

Valid: 1340
Invalid: 41032
Type: Discrete
Decimal: 0
loc_start_pos: 371
loc_end_pos: 377
Width: 7
Range: -9 - 4000000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-9 Don't Know 0
0%
-8 Refused 0
0%
-5 Not Applicable 0
0%
-3 Missing 0
0%
1 1
0.1%
10 1
0.1%
15 1
0.1%
30 4
0.3%
40 1
0.1%
45 1
0.1%
50 2
0.1%
60 1
0.1%
80 2
0.1%
90 1
0.1%
95 1
0.1%
150 1
0.1%
250 2
0.1%
350 1
0.1%
450 1
0.1%
900 1
0.1%
1000 1
0.1%
1400 1
0.1%
2000 1
0.1%
2300 1
0.1%
2500 3
0.2%
3000 2
0.1%
4000 5
0.4%
4500 1
0.1%
5000 9
0.7%
5500 2
0.1%
6000 3
0.2%
6500 1
0.1%
7000 3
0.2%
8000 9
0.7%
9000 2
0.1%
10000 25
1.9%
11000 2
0.1%
12000 14
1%
13000 2
0.1%
14000 1
0.1%
15000 47
3.5%
16000 3
0.2%
17000 1
0.1%
18000 11
0.8%
18300 1
0.1%
19000 4
0.3%
20000 81
6%
21000 1
0.1%
22000 9
0.7%
23000 3
0.2%
25000 49
3.7%
26000 1
0.1%
27000 3
0.2%
28000 4
0.3%
29000 1
0.1%
30000 88
6.6%
31000 1
0.1%
32000 5
0.4%
33000 3
0.2%
34000 2
0.1%
35000 28
2.1%
36000 2
0.1%
38000 4
0.3%
39000 1
0.1%
40000 70
5.2%
40500 1
0.1%
42000 2
0.1%
44000 1
0.1%
45000 41
3.1%
47000 2
0.1%
50000 86
6.4%
54000 1
0.1%
55000 11
0.8%
56000 3
0.2%
56500 1
0.1%
58000 2
0.1%
59000 1
0.1%
60000 71
5.3%
63000 2
0.1%
64000 1
0.1%
65000 15
1.1%
66000 2
0.1%
67000 1
0.1%
68000 2
0.1%
70000 45
3.4%
71000 1
0.1%
75000 15
1.1%
76000 1
0.1%
78000 1
0.1%
79000 1
0.1%
80000 61
4.6%
82000 1
0.1%
84000 2
0.1%
85000 6
0.4%
87000 1
0.1%
88000 2
0.1%
89000 3
0.2%
90000 29
2.2%
92000 1
0.1%
93000 3
0.2%
95000 8
0.6%
98000 1
0.1%
100000 54
4%
101000 1
0.1%
104000 1
0.1%
105000 1
0.1%
106000 1
0.1%
108000 1
0.1%
110000 6
0.4%
111000 1
0.1%
112000 1
0.1%
115000 1
0.1%
116000 2
0.1%
118000 1
0.1%
120000 43
3.2%
124000 1
0.1%
125000 5
0.4%
130000 13
1%
135000 2
0.1%
140000 13
1%
145000 1
0.1%
148000 1
0.1%
150000 38
2.8%
156000 1
0.1%
160000 3
0.2%
168000 2
0.1%
169000 1
0.1%
170000 7
0.5%
175000 5
0.4%
176000 1
0.1%
180000 16
1.2%
185000 1
0.1%
187000 1
0.1%
190000 2
0.1%
200000 36
2.7%
210000 3
0.2%
215000 2
0.1%
220000 3
0.2%
226000 1
0.1%
230000 6
0.4%
240000 1
0.1%
244000 1
0.1%
250000 15
1.1%
255000 1
0.1%
258000 1
0.1%
260000 1
0.1%
264000 1
0.1%
268000 1
0.1%
280000 5
0.4%
290000 2
0.1%
300000 10
0.7%
320000 1
0.1%
330000 1
0.1%
337000 1
0.1%
350000 8
0.6%
355000 1
0.1%
360000 1
0.1%
375000 1
0.1%
400000 7
0.5%
450000 6
0.4%
480000 1
0.1%
489000 1
0.1%
500000 7
0.5%
520000 1
0.1%
573000 1
0.1%
592000 1
0.1%
600000 2
0.1%
650000 1
0.1%
700000 2
0.1%
720000 1
0.1%
730000 1
0.1%
750000 1
0.1%
800000 2
0.1%
830000 1
0.1%
900000 3
0.2%
1000000 2
0.1%
1200000 3
0.2%
1600000 1
0.1%
2500000 1
0.1%
4000000 1
0.1%
Sysmiss 41032
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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