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    Home / Data Portal / NIDS / ZAF-SALDRU-NIDS-2014-2015-V2.0.0 / variable [V7203]
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
1795870
Downloads
1182065
  • Study Description
  • Data Description
  • Downloads
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  • Related Publications
  • Data files
  • Admin_W4_Anon_V2.0.0
  • Adult_W4_Anon_V2.0.0
  • Child_W4_Anon_V2.0.0
  • HHQuestionnaire_W4_Anon_V2.0.0
  • HouseholdRoster_W4_Anon_V2.0.0
  • indderived_W4_Anon_V2.0.0
  • Link_File_W4_Anon_V2.0.0
  • Proxy_W4_Anon_V2.0.0
  • hhderived_W4_Anon_V2.0.0

Household Pre-imputation Real Estate Debts (w4_pi_re_deb)

Data file: hhderived_W4_Anon_V2.0.0

Overview

Valid: 265
Invalid: 11624
Type: Discrete
Decimal: 0
Width: 9
Range: -9 - 15400000
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%
1500 1
0.4%
1800 1
0.4%
2000 1
0.4%
5000 1
0.4%
6000 1
0.4%
8000 3
1.1%
9000 1
0.4%
10000 3
1.1%
14000 1
0.4%
15000 3
1.1%
16000 1
0.4%
18000 4
1.5%
20000 1
0.4%
21000 2
0.8%
23000 1
0.4%
24000 1
0.4%
25000 1
0.4%
27000 1
0.4%
28000 2
0.8%
29000 1
0.4%
30000 7
2.6%
35000 3
1.1%
36000 1
0.4%
37000 1
0.4%
38000 1
0.4%
40000 3
1.1%
43000 1
0.4%
45000 2
0.8%
47000 2
0.8%
49000 2
0.8%
50000 2
0.8%
50300 1
0.4%
54000 1
0.4%
55000 1
0.4%
59000 1
0.4%
60000 9
3.4%
68000 1
0.4%
70000 5
1.9%
70292 1
0.4%
73000 1
0.4%
75000 3
1.1%
77000 1
0.4%
78000 3
1.1%
80000 3
1.1%
82000 1
0.4%
85000 1
0.4%
88000 1
0.4%
100000 5
1.9%
100200 1
0.4%
104963 1
0.4%
110000 1
0.4%
115000 1
0.4%
117000 1
0.4%
120000 3
1.1%
129000 1
0.4%
130000 2
0.8%
135000 1
0.4%
138000 1
0.4%
140000 4
1.5%
143840 1
0.4%
150000 9
3.4%
156000 1
0.4%
158000 1
0.4%
160000 2
0.8%
168000 1
0.4%
170000 3
1.1%
180000 3
1.1%
191000 1
0.4%
195000 3
1.1%
200000 6
2.3%
220000 3
1.1%
230000 1
0.4%
239000 1
0.4%
240000 1
0.4%
247000 1
0.4%
250000 7
2.6%
257000 1
0.4%
260000 1
0.4%
270000 1
0.4%
280000 4
1.5%
290000 1
0.4%
296000 1
0.4%
300000 14
5.3%
306000 1
0.4%
328000 1
0.4%
340000 1
0.4%
350000 4
1.5%
360000 1
0.4%
370000 1
0.4%
378000 1
0.4%
380000 3
1.1%
400000 7
2.6%
430000 2
0.8%
447000 1
0.4%
450000 3
1.1%
460000 3
1.1%
480000 1
0.4%
487000 1
0.4%
489000 1
0.4%
490000 1
0.4%
500000 10
3.8%
510000 1
0.4%
530000 2
0.8%
540000 1
0.4%
550000 3
1.1%
600000 8
3%
640000 1
0.4%
700000 2
0.8%
780000 1
0.4%
850000 1
0.4%
864000 1
0.4%
880000 1
0.4%
890000 1
0.4%
900000 3
1.1%
1000000 2
0.8%
1100000 1
0.4%
1150000 1
0.4%
1200000 2
0.8%
1300000 1
0.4%
1350000 1
0.4%
1400000 1
0.4%
1600000 1
0.4%
2000000 1
0.4%
2200000 1
0.4%
2395000 1
0.4%
2780000 1
0.4%
4020000 1
0.4%
15400000 1
0.4%
Sysmiss 11624
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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