Home / Data Portal / NIDS / ZAF-SALDRU-NIDS-2010-2011-V4.0.0 / variable [V9642]
NIDS

National Income Dynamics Study 2010-2011, Wave 2

South Africa, 2010 - 2011
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Reference ID
zaf-saldru-nids-2010-2011-v4.0.0
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
Documentation in PDF DDI/XML JSON
Created on
Nov 24, 2013
Last modified
Jul 18, 2023
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Household Pre-imputation Real Estate Assets (w2_pi_re_ass)

Data file: hhderived_W2_Anon_V4.0.0

Overview

Valid: 3572
Invalid: 5553
Type: Discrete
Decimal: 0
loc_start_pos: 301
loc_end_pos: 309
Width: 9
Range: -9 - 354000000
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%
-2 Not asked in Phase 2 0
0%
1 13
0.4%
2 12
0.3%
3 1
0%
4 2
0.1%
5 1
0%
9 1
0%
10 16
0.4%
12 1
0%
15 8
0.2%
20 8
0.2%
25 1
0%
30 7
0.2%
40 3
0.1%
50 6
0.2%
60 7
0.2%
70 2
0.1%
80 6
0.2%
100 22
0.6%
120 1
0%
132 1
0%
140 1
0%
147 1
0%
150 2
0.1%
165 1
0%
200 25
0.7%
249 1
0%
250 3
0.1%
300 13
0.4%
350 2
0.1%
360 2
0.1%
400 3
0.1%
450 1
0%
500 53
1.5%
600 10
0.3%
700 6
0.2%
800 10
0.3%
1000 60
1.7%
1020 1
0%
1200 13
0.4%
1400 1
0%
1500 35
1%
1800 3
0.1%
2000 84
2.4%
2200 2
0.1%
2400 1
0%
2500 19
0.5%
3000 77
2.2%
3500 17
0.5%
3600 1
0%
3750 1
0%
3800 1
0%
4000 36
1%
4500 6
0.2%
5000 152
4.3%
5500 1
0%
6000 46
1.3%
6500 1
0%
7000 23
0.6%
7500 2
0.1%
7777 1
0%
8000 38
1.1%
8500 3
0.1%
9000 7
0.2%
10000 167
4.7%
10080 1
0%
11000 2
0.1%
12000 28
0.8%
13000 4
0.1%
14000 5
0.1%
15000 173
4.8%
15800 1
0%
16000 7
0.2%
17000 8
0.2%
18000 8
0.2%
19000 2
0.1%
20000 189
5.3%
21000 1
0%
22000 7
0.2%
23000 2
0.1%
23500 1
0%
24000 2
0.1%
25000 92
2.6%
26000 1
0%
27000 9
0.3%
28000 2
0.1%
28500 1
0%
30000 147
4.1%
32000 2
0.1%
35000 60
1.7%
36000 3
0.1%
36500 1
0%
37000 1
0%
38000 2
0.1%
40000 103
2.9%
40800 1
0%
41000 1
0%
42000 1
0%
43000 1
0%
44000 3
0.1%
45000 68
1.9%
46000 1
0%
47000 2
0.1%
48000 2
0.1%
49000 1
0%
50000 224
6.3%
51000 1
0%
52000 1
0%
53000 1
0%
55000 10
0.3%
56000 3
0.1%
59000 2
0.1%
60000 62
1.7%
61600 1
0%
64000 1
0%
65000 20
0.6%
68000 1
0%
70000 46
1.3%
73000 1
0%
75000 23
0.6%
76000 1
0%
77500 1
0%
79000 1
0%
80000 77
2.2%
85000 16
0.4%
86000 1
0%
87000 1
0%
89000 3
0.1%
90000 35
1%
95000 10
0.3%
97000 1
0%
98000 2
0.1%
99000 2
0.1%
100000 120
3.4%
104000 1
0%
107000 1
0%
109000 1
0%
110000 7
0.2%
113000 1
0%
115000 1
0%
120000 42
1.2%
130000 2
0.1%
140000 3
0.1%
146000 1
0%
147000 1
0%
150000 74
2.1%
152000 1
0%
160000 3
0.1%
170000 2
0.1%
180000 12
0.3%
190000 1
0%
200000 61
1.7%
207000 1
0%
220000 3
0.1%
230000 4
0.1%
240000 1
0%
250000 59
1.7%
260000 2
0.1%
280000 4
0.1%
300000 54
1.5%
320000 3
0.1%
330000 2
0.1%
338000 1
0%
350000 38
1.1%
360000 3
0.1%
380000 4
0.1%
390000 1
0%
395000 1
0%
400000 41
1.1%
420000 3
0.1%
420009 1
0%
440000 1
0%
450000 30
0.8%
475000 1
0%
480000 5
0.1%
500000 72
2%
510000 2
0.1%
550000 7
0.2%
550002 1
0%
560000 3
0.1%
600000 26
0.7%
630000 1
0%
650000 16
0.4%
680000 2
0.1%
690000 1
0%
700000 23
0.6%
750000 22
0.6%
780000 2
0.1%
800000 36
1%
820000 1
0%
850000 19
0.5%
880000 1
0%
890000 3
0.1%
900000 36
1%
925000 1
0%
950000 8
0.2%
980000 4
0.1%
1000000 31
0.9%
1000004 1
0%
1015000 1
0%
1063000 1
0%
1100000 4
0.1%
1200000 7
0.2%
1300000 3
0.1%
1400000 4
0.1%
1500000 10
0.3%
1550000 1
0%
1600000 3
0.1%
1930000 1
0%
1980000 1
0%
2000000 7
0.2%
2200000 1
0%
2250000 1
0%
2700000 2
0.1%
3000000 6
0.2%
3000002 1
0%
3200000 1
0%
3500000 1
0%
4000000 4
0.1%
4500000 2
0.1%
4700000 1
0%
5000000 6
0.2%
5400000 1
0%
6000000 3
0.1%
6500000 1
0%
7000000 2
0.1%
7500000 1
0%
8000000 3
0.1%
9070000 1
0%
10000000 2
0.1%
11800000 1
0%
12000000 3
0.1%
13000000 1
0%
14000000 1
0%
15000000 5
0.1%
15500000 1
0%
16000000 2
0.1%
17700000 1
0%
20000000 2
0.1%
21500000 1
0%
22000000 1
0%
30000000 1
0%
45000000 1
0%
50000000 1
0%
150000000 2
0.1%
328000000 1
0%
354000000 1
0%
Sysmiss 5553
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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