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    Home / Data Portal / NIDS / ZAF-SALDRU-NIDS-2010-2011-V4.0.0 / variable [V9610]
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
Page views
721562
Downloads
42056
  • Dataset Description
  • Data Description
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  • Related Publications
  • Data files
  • Admin_W2_Anon_V4.0.0
  • Adult_W2_Anon_V4.0.0
  • Child_W2_Anon_V4.0.0
  • HHQuestionnaire_W2_Anon_V4.0.0
  • HouseholdRoster_W2_Anon_V4.0.0
  • indderived_W2_Anon_V4.0.0
  • Link_File_W2_Anon_V4.0.0
  • Proxy_W2_Anon_V4.0.0
  • hhderived_W2_Anon_V4.0.0

Household monthly income from investments (w2_hhinvest)

Data file: hhderived_W2_Anon_V4.0.0

Overview

Valid: 350
Invalid: 8775
Type: Discrete
loc_start_pos: 98
loc_end_pos: 102
Width: 5
Range: -
Format: Numeric

Questions and instructions

Categories
Value Category
-9 Don't Know
-8 Refused
-5 Not Applicable
-3 Missing
-2 Not asked in Phase 2
15
80
100
120
150
200
250
280
300
400
440
450
500
600
620
650
719
800
850
900
921
1000
1060
1080
1100
1179.43249511719
1200
1240
1300
1389.62573242188
1400
1500
1562.126953125
1600
1700
1800
1880
1900
1950
1990.1435546875
2000
2100
2125.6669921875
2160
2200
2250
2250.70629882812
2372.78637695312
2400
2483
2500
2600
2700
2750
2800
2900
3000
3200
3238.01586914062
3300
3465
3500
3573
3594.42236328125
3600
3626
3700
3900
3918.712890625
4000
4080.3232421875
4346.74267578125
4500
4850
4923.08154296875
5000
5100
5200
5350
5460.64306640625
5500
5704
6000
6016
6450
6500
6534.00732421875
6600
6800
7000
7210.90966796875
7600
7900
8000
8044.212890625
8200
8600
9000
9910
10000
10800
11314.1767578125
11600
12000
12993.82421875
14000
15000
15917
16000
16466.548828125
20000
22000
32961.7109375
34508.94140625
42000
50000
80000
Sysmiss
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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