Home / Data Portal / NIDS / ZAF-SALDRU-NIDS-2014-2015-V2.0.0 / variable [V7196]
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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1795849
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Household Pre-imputation Retirement Annuity Assets (w4_pi_s_ass)

Data file: hhderived_W4_Anon_V2.0.0

Overview

Valid: 610
Invalid: 11279
Type: Discrete
Decimal: 0
Width: 9
Range: -9 - 500000000
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 2
0.3%
15 1
0.2%
50 1
0.2%
68 1
0.2%
100 1
0.2%
122 1
0.2%
150 2
0.3%
212 1
0.2%
220 1
0.2%
230 1
0.2%
234 1
0.2%
240 1
0.2%
250 2
0.3%
270 1
0.2%
301 1
0.2%
350 3
0.5%
500 4
0.7%
531 1
0.2%
550 1
0.2%
600 4
0.7%
753 1
0.2%
800 1
0.2%
810 1
0.2%
881 1
0.2%
900 3
0.5%
956 1
0.2%
1000 1
0.2%
1100 1
0.2%
1300 2
0.3%
1350 1
0.2%
1400 1
0.2%
1975 1
0.2%
2000 1
0.2%
2600 1
0.2%
2700 1
0.2%
2750 4
0.7%
3000 2
0.3%
4000 2
0.3%
4500 1
0.2%
4518 1
0.2%
4562 1
0.2%
5000 11
1.8%
5500 1
0.2%
5849 1
0.2%
6000 7
1.1%
6900 1
0.2%
7300 1
0.2%
8000 1
0.2%
9000 4
0.7%
9500 1
0.2%
10000 5
0.8%
10080 1
0.2%
11000 1
0.2%
12000 1
0.2%
12489 1
0.2%
12500 1
0.2%
12870 1
0.2%
15000 4
0.7%
17000 1
0.2%
18000 2
0.3%
20000 5
0.8%
21000 1
0.2%
24000 2
0.3%
25000 1
0.2%
26000 2
0.3%
27000 1
0.2%
27500 23
3.8%
27600 1
0.2%
28000 1
0.2%
30000 7
1.1%
32000 1
0.2%
35000 3
0.5%
35641 1
0.2%
37000 1
0.2%
38000 1
0.2%
39000 1
0.2%
40000 6
1%
42000 1
0.2%
45000 1
0.2%
50000 87
14.3%
55000 1
0.2%
56000 1
0.2%
58000 1
0.2%
60000 5
0.8%
62000 1
0.2%
65000 1
0.2%
70000 4
0.7%
71000 1
0.2%
75000 3
0.5%
77000 1
0.2%
77500 2
0.3%
78000 1
0.2%
80000 8
1.3%
83000 1
0.2%
85000 1
0.2%
86000 1
0.2%
87000 1
0.2%
90000 2
0.3%
93000 1
0.2%
95000 1
0.2%
100000 15
2.5%
101000 1
0.2%
101300 1
0.2%
110000 1
0.2%
123000 1
0.2%
124000 2
0.3%
130000 2
0.3%
138000 1
0.2%
140000 1
0.2%
140900 1
0.2%
150000 10
1.6%
170000 1
0.2%
177500 1
0.2%
180000 3
0.5%
190000 2
0.3%
200000 13
2.1%
217000 1
0.2%
235000 1
0.2%
238000 1
0.2%
250000 8
1.3%
270000 1
0.2%
274000 1
0.2%
275000 59
9.7%
275002 1
0.2%
280000 2
0.3%
295000 1
0.2%
300000 6
1%
311240 1
0.2%
325000 3
0.5%
355000 1
0.2%
375000 1
0.2%
400000 2
0.3%
418000 1
0.2%
420000 1
0.2%
430000 1
0.2%
450000 2
0.3%
477000 1
0.2%
500000 49
8%
500700 1
0.2%
505000 1
0.2%
506000 1
0.2%
550000 1
0.2%
555000 1
0.2%
600000 4
0.7%
650000 1
0.2%
680000 1
0.2%
700000 2
0.3%
712000 1
0.2%
750000 7
1.1%
775000 2
0.3%
795000 1
0.2%
800000 8
1.3%
850000 2
0.3%
860000 1
0.2%
875000 1
0.2%
950000 1
0.2%
997000 1
0.2%
1000000 23
3.8%
1025000 1
0.2%
1050000 1
0.2%
1100000 1
0.2%
1144000 1
0.2%
1200000 2
0.3%
1344000 1
0.2%
1477000 1
0.2%
1500000 6
1%
1700000 1
0.2%
1719000 1
0.2%
1800000 1
0.2%
1811200 1
0.2%
1894000 1
0.2%
2000000 2
0.3%
2200000 1
0.2%
2600000 1
0.2%
2750000 1
0.2%
2900000 1
0.2%
3000000 10
1.6%
3280000 1
0.2%
3400000 1
0.2%
3450000 1
0.2%
3459199 1
0.2%
4000400 1
0.2%
4515000 1
0.2%
5000000 3
0.5%
5300000 1
0.2%
7000000 1
0.2%
10000000 2
0.3%
11000000 1
0.2%
12000000 1
0.2%
13050000 1
0.2%
17000000 1
0.2%
18000000 1
0.2%
20000000 1
0.2%
25005000 1
0.2%
35144000 1
0.2%
500000000 1
0.2%
Sysmiss 11279
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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