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    Home / Data Portal / NIDS / ZAF-SALDRU-NIDS-2014-2015-V2.0.0 / variable [V6735]
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
1791642
Downloads
1182001
  • Study Description
  • Data Description
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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

h8_3_1_2 - How much would you pay for all the sheep in total? (w4_h_aglsshpsel)

Data file: HHQuestionnaire_W4_Anon_V2.0.0

Overview

Valid: 112
Invalid: 11777
Type: Discrete
Decimal: 0
loc_start_pos: 1980
loc_end_pos: 1986
Width: 7
Range: -9 - 1800000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-9 Don't Know 9
8%
-8 Refused 1
0.9%
-5 Not Applicable 0
0%
-3 Missing 0
0%
2 1
0.9%
700 2
1.8%
800 1
0.9%
900 1
0.9%
1200 4
3.6%
1600 1
0.9%
2000 1
0.9%
2400 3
2.7%
2500 1
0.9%
3000 6
5.4%
3400 1
0.9%
3600 1
0.9%
4000 2
1.8%
4200 2
1.8%
4500 1
0.9%
4600 1
0.9%
4800 1
0.9%
6000 6
5.4%
6500 2
1.8%
6650 1
0.9%
7000 2
1.8%
7200 2
1.8%
7500 1
0.9%
8000 1
0.9%
9000 3
2.7%
9600 1
0.9%
12000 4
3.6%
13500 1
0.9%
14000 4
3.6%
14400 1
0.9%
15000 6
5.4%
16000 1
0.9%
18000 3
2.7%
20000 4
3.6%
21000 1
0.9%
24000 1
0.9%
24500 1
0.9%
25000 1
0.9%
26000 1
0.9%
34000 1
0.9%
39600 1
0.9%
44000 1
0.9%
48000 2
1.8%
50000 1
0.9%
51000 1
0.9%
56000 1
0.9%
57000 1
0.9%
57500 1
0.9%
63000 1
0.9%
67200 1
0.9%
72000 1
0.9%
73500 1
0.9%
76000 1
0.9%
77000 1
0.9%
80000 1
0.9%
132000 1
0.9%
135600 1
0.9%
165000 1
0.9%
200000 1
0.9%
450000 1
0.9%
1200000 1
0.9%
1800000 1
0.9%
Sysmiss 11777
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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