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    Home / Data Portal / NIDS / ZAF-SALDRU-NIDS-2012-V3.0.0 / variable [F60]
NIDS

National Income Dynamics Study 2012, Wave 3

South Africa, 2012
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Reference ID
zaf-saldru-nids-2012-v3.0.0
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
Nov 24, 2013
Last modified
Jul 18, 2023
Page views
480208
Downloads
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  • Study Description
  • Data Description
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  • Related Publications
  • Data files
  • Admin_W3_Anon_V3.0.0
  • Adult_W3_Anon_V3.0.0
  • Child_W3_Anon_V3.0.0
  • HHQuestionnaire_W3_Anon_V3.0.0
  • HouseholdRoster_W3_Anon_V3.0.0
  • indderived_W3_Anon_V3.0.0
  • Link_File_W3_Anon_V3.0.0
  • Proxy_W3_Anon_V3.0.0
  • hhderived_W3_Anon_V3.0.0

e2_2_38 - Amount spent on medical supplies in the last 30 days (w3_h_nfmedspn)

Data file: HHQuestionnaire_W3_Anon_V3.0.0

Overview

Valid: 235
Invalid: 9983
Type: Discrete
Decimal: 0
loc_start_pos: 1053
loc_end_pos: 1056
Width: 4
Range: -9 - 2182
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-9 Don't know 10
4.3%
-8 Refused 0
0%
-5 Not Applicable 0
0%
-3 Missing 0
0%
5 3
1.3%
6 1
0.4%
8 1
0.4%
10 5
2.1%
12 4
1.7%
15 4
1.7%
17 1
0.4%
18 5
2.1%
20 10
4.3%
22 1
0.4%
24 1
0.4%
25 2
0.9%
26 1
0.4%
28 2
0.9%
30 10
4.3%
32 1
0.4%
33 1
0.4%
34 1
0.4%
35 7
3%
36 1
0.4%
40 4
1.7%
45 3
1.3%
47 1
0.4%
50 12
5.1%
51 1
0.4%
52 3
1.3%
54 2
0.9%
55 2
0.9%
60 5
2.1%
70 1
0.4%
71 1
0.4%
75 1
0.4%
80 8
3.4%
90 1
0.4%
95 1
0.4%
98 1
0.4%
100 20
8.5%
114 1
0.4%
120 6
2.6%
130 1
0.4%
131 1
0.4%
140 2
0.9%
145 1
0.4%
150 10
4.3%
158 1
0.4%
160 1
0.4%
167 1
0.4%
174 1
0.4%
180 3
1.3%
190 1
0.4%
200 11
4.7%
240 1
0.4%
250 5
2.1%
269 1
0.4%
280 1
0.4%
300 15
6.4%
320 1
0.4%
375 1
0.4%
380 1
0.4%
383 1
0.4%
400 4
1.7%
480 1
0.4%
500 7
3%
600 2
0.9%
800 3
1.3%
950 1
0.4%
1000 4
1.7%
1500 2
0.9%
1600 1
0.4%
1950 1
0.4%
2000 1
0.4%
2182 1
0.4%
Sysmiss 9983
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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