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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
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g8_1_2 - Current resale value of motor vehicle (including bakkie or truck)? (w4_a_ownveh_v)

Data file: Adult_W4_Anon_V2.0.0

Overview

Valid: 1504
Invalid: 25300
Type: Discrete
Decimal: 0
loc_start_pos: 6748
loc_end_pos: 6754
Width: 7
Range: -9 - 4000000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-9 Don't Know 135
9%
-8 Refused 12
0.8%
-5 Not Applicable 1
0.1%
-3 Missing 0
0%
0 37
2.5%
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%
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 1
0.1%
4000 3
0.2%
5000 8
0.5%
5500 1
0.1%
6000 3
0.2%
6500 1
0.1%
7000 2
0.1%
8000 8
0.5%
9000 1
0.1%
10000 23
1.5%
11000 2
0.1%
12000 15
1%
13000 2
0.1%
14000 1
0.1%
15000 46
3.1%
16000 2
0.1%
17000 1
0.1%
18000 11
0.7%
18300 1
0.1%
19000 4
0.3%
20000 81
5.4%
22000 9
0.6%
23000 3
0.2%
25000 49
3.3%
26000 1
0.1%
27000 2
0.1%
28000 4
0.3%
29000 1
0.1%
30000 87
5.8%
31000 1
0.1%
32000 5
0.3%
33000 3
0.2%
34000 2
0.1%
35000 26
1.7%
36000 2
0.1%
38000 4
0.3%
39000 1
0.1%
40000 70
4.7%
42000 2
0.1%
44000 1
0.1%
45000 42
2.8%
47000 2
0.1%
50000 88
5.9%
54000 1
0.1%
55000 8
0.5%
56000 3
0.2%
56500 1
0.1%
58000 2
0.1%
59000 1
0.1%
60000 73
4.9%
63000 2
0.1%
64000 1
0.1%
65000 15
1%
66000 1
0.1%
67000 1
0.1%
68000 2
0.1%
70000 45
3%
71000 1
0.1%
75000 16
1.1%
76000 1
0.1%
78000 1
0.1%
79000 1
0.1%
80000 62
4.1%
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
1.9%
92000 1
0.1%
93000 3
0.2%
95000 6
0.4%
98000 1
0.1%
100000 54
3.6%
101000 1
0.1%
104000 1
0.1%
105000 1
0.1%
106000 1
0.1%
108000 1
0.1%
110000 8
0.5%
111000 1
0.1%
112000 1
0.1%
115000 1
0.1%
116000 1
0.1%
118000 1
0.1%
120000 41
2.7%
124000 1
0.1%
125000 5
0.3%
130000 14
0.9%
135000 1
0.1%
140000 12
0.8%
145000 1
0.1%
148000 1
0.1%
150000 38
2.5%
156000 1
0.1%
160000 5
0.3%
168000 2
0.1%
169000 1
0.1%
170000 6
0.4%
175000 5
0.3%
176000 1
0.1%
180000 17
1.1%
185000 1
0.1%
190000 2
0.1%
200000 36
2.4%
210000 3
0.2%
215000 2
0.1%
220000 3
0.2%
226000 1
0.1%
230000 7
0.5%
244000 1
0.1%
250000 16
1.1%
258000 1
0.1%
264000 1
0.1%
280000 5
0.3%
290000 2
0.1%
300000 11
0.7%
320000 1
0.1%
330000 1
0.1%
337000 1
0.1%
350000 9
0.6%
375000 1
0.1%
400000 8
0.5%
450000 6
0.4%
489000 1
0.1%
500000 7
0.5%
520000 1
0.1%
570000 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 25300
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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