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    Home / Data Portal / NIDS / ZAF-SALDRU-NIDS-2017-V1.0.0 / variable [V3721]
NIDS

National Income Dynamics Study 2017, Wave 5

South Africa, 2017
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Reference ID
zaf-saldru-nids-2017-v1.0.0
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
Aug 28, 2018
Last modified
Jun 11, 2023
Page views
1400067
Downloads
928651
  • Study Description
  • Data Description
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  • Related Publications
  • Data files
  • admin_w5_anon_v1.0.0
  • adult_w5_anon_v1.0.0
  • child_w5_anon_v1.0.0
  • hhderived_w5_anon_v1.0.0
  • householdroster_w5_anon_v1.0.0
  • indderived_w5_anon_v1.0.0
  • link_file_w5_anon_v1.0.0
  • proxy_w5_anon_v1.0.0
  • hhquestionnaire_w5_anon_v1.0.0

n4_2_2 - Blood pressure: Diastolic - 2 (DIA.mmHg) (w5_a_bpdia_2)

Data file: adult_w5_anon_v1.0.0

Overview

Valid: 816
Invalid: 183
Type: Discrete
Decimal: 0
loc_start_pos: 3203
loc_end_pos: 3205
Width: 3
Range: -9 - 140
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-9 Dont know 0
0%
-8 Refused 11
1.3%
-5 Not applicable 0
0%
-3 Missing 1
0.1%
39 1
0.1%
44 1
0.1%
45 3
0.4%
47 1
0.1%
49 1
0.1%
50 3
0.4%
53 1
0.1%
54 1
0.1%
55 1
0.1%
56 3
0.4%
57 7
0.9%
58 3
0.4%
59 11
1.3%
60 10
1.2%
61 17
2.1%
62 13
1.6%
63 14
1.7%
64 19
2.3%
65 12
1.5%
66 22
2.7%
67 22
2.7%
68 28
3.4%
69 19
2.3%
70 34
4.2%
71 29
3.6%
72 28
3.4%
73 27
3.3%
74 24
2.9%
75 30
3.7%
76 31
3.8%
77 31
3.8%
78 26
3.2%
79 22
2.7%
80 24
2.9%
81 24
2.9%
82 16
2%
83 16
2%
84 17
2.1%
85 23
2.8%
86 20
2.5%
87 11
1.3%
88 19
2.3%
89 8
1%
90 15
1.8%
91 10
1.2%
92 15
1.8%
93 15
1.8%
94 8
1%
95 11
1.3%
96 2
0.2%
97 5
0.6%
98 9
1.1%
99 4
0.5%
100 2
0.2%
101 2
0.2%
102 4
0.5%
103 3
0.4%
104 4
0.5%
105 1
0.1%
106 2
0.2%
108 2
0.2%
109 2
0.2%
110 1
0.1%
111 2
0.2%
112 2
0.2%
114 2
0.2%
115 1
0.1%
117 1
0.1%
119 2
0.2%
126 1
0.1%
128 1
0.1%
139 1
0.1%
140 1
0.1%
Sysmiss 183
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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