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agricultural-surveys

National Income Dynamics Study 2014

South Africa, 2014 - 2015
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Reference ID
ZAF_2014_NIDS-W4_v01_EN_M_v01_A_OCS
Producer(s)
Southern Africa Labour and Development Research Unit
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Oct 07, 2020
Last modified
Nov 03, 2020
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Household Pre-imputation Vehicle Assets (w4_pi_v_ass)

Data file: hhderived_W4_Anon_V1.0

Overview

Valid: 1117
Invalid: 10778
Minimum: 1
Maximum: 4000000
Type: Discrete
Decimal: 0
Start: 301
End: 307
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%
30 2
0.2%
40 1
0.1%
45 1
0.1%
50 2
0.2%
60 1
0.1%
80 2
0.2%
185 1
0.1%
250 1
0.1%
450 1
0.1%
600 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
0.3%
4000 3
0.3%
5000 5
0.4%
5500 1
0.1%
6000 2
0.2%
6500 1
0.1%
7000 2
0.2%
8000 8
0.7%
9000 2
0.2%
10000 20
1.8%
11000 1
0.1%
12000 10
0.9%
14000 1
0.1%
15000 43
3.8%
16000 3
0.3%
17000 1
0.1%
18000 10
0.9%
19000 2
0.2%
20000 57
5.1%
22000 7
0.6%
23000 3
0.3%
24000 1
0.1%
25000 37
3.3%
25500 1
0.1%
26000 1
0.1%
27000 2
0.2%
28000 3
0.3%
29000 1
0.1%
30000 68
6.1%
30030 1
0.1%
32000 5
0.4%
33000 3
0.3%
34000 3
0.3%
35000 21
1.9%
36000 2
0.2%
38000 5
0.4%
39000 1
0.1%
40000 58
5.2%
40030 1
0.1%
40500 1
0.1%
42000 1
0.1%
44000 1
0.1%
45000 29
2.6%
46000 1
0.1%
47000 3
0.3%
50000 62
5.6%
54000 1
0.1%
55000 9
0.8%
56000 2
0.2%
56500 1
0.1%
58000 2
0.2%
59000 1
0.1%
60000 48
4.3%
60015 1
0.1%
62000 1
0.1%
63000 2
0.2%
65000 12
1.1%
66000 2
0.2%
68000 3
0.3%
70000 30
2.7%
71000 1
0.1%
75000 13
1.2%
76000 1
0.1%
78000 1
0.1%
79000 1
0.1%
80000 44
3.9%
82000 2
0.2%
84000 2
0.2%
85000 4
0.4%
87000 1
0.1%
88000 1
0.1%
89000 2
0.2%
90000 26
2.3%
93000 2
0.2%
95000 5
0.4%
98000 1
0.1%
100000 44
3.9%
100150 1
0.1%
101000 1
0.1%
102000 1
0.1%
105000 3
0.3%
106000 1
0.1%
110000 7
0.6%
112000 2
0.2%
115000 3
0.3%
116000 2
0.2%
118000 2
0.2%
120000 36
3.2%
125000 5
0.4%
127000 1
0.1%
130000 14
1.3%
131000 1
0.1%
135000 3
0.3%
140000 14
1.3%
145000 1
0.1%
148000 1
0.1%
150000 35
3.1%
155000 1
0.1%
156000 1
0.1%
158000 1
0.1%
158300 1
0.1%
160000 6
0.5%
168000 2
0.2%
169000 1
0.1%
170000 7
0.6%
175000 6
0.5%
176000 1
0.1%
180000 19
1.7%
185000 1
0.1%
187000 1
0.1%
189000 1
0.1%
190000 1
0.1%
198000 1
0.1%
200000 24
2.1%
210000 2
0.2%
211000 1
0.1%
215000 3
0.3%
220000 3
0.3%
221000 1
0.1%
225000 1
0.1%
230000 5
0.4%
240000 5
0.4%
242000 1
0.1%
250000 9
0.8%
254000 1
0.1%
255000 1
0.1%
256000 1
0.1%
260000 1
0.1%
261000 1
0.1%
264000 1
0.1%
268000 1
0.1%
277000 1
0.1%
280000 3
0.3%
290000 2
0.2%
300000 8
0.7%
320000 3
0.3%
325000 1
0.1%
330000 1
0.1%
335000 1
0.1%
337000 1
0.1%
343000 1
0.1%
345000 1
0.1%
350000 5
0.4%
355000 1
0.1%
360000 1
0.1%
375000 1
0.1%
400000 5
0.4%
410000 1
0.1%
415000 1
0.1%
420000 1
0.1%
440000 2
0.2%
450000 5
0.4%
455000 1
0.1%
470000 1
0.1%
480000 1
0.1%
500000 7
0.6%
510000 1
0.1%
520000 1
0.1%
524000 1
0.1%
550000 3
0.3%
573000 1
0.1%
592000 1
0.1%
600000 2
0.2%
630000 1
0.1%
650000 1
0.1%
700000 2
0.2%
720000 1
0.1%
730000 1
0.1%
780000 1
0.1%
800000 2
0.2%
830000 1
0.1%
900000 1
0.1%
1000000 1
0.1%
1024000 1
0.1%
1190000 1
0.1%
1200000 1
0.1%
1537000 1
0.1%
1600000 1
0.1%
1700000 1
0.1%
2200000 1
0.1%
2500000 1
0.1%
4000000 1
0.1%
Sysmiss 10778
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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