National Income Dynamics Study 2014

South Africa, 2014 - 2015

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Reference ID

ZAF_2014_NIDS-W4_v01_EN_M_v01_A_OCS

Producer(s)

Southern Africa Labour and Development Research Unit

Collections

Agricultural Surveys

Metadata

Documentation in PDF DDI/XML JSON

Created on

Oct 07, 2020

Last modified

Nov 03, 2020

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92457

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b1 - Gender (w4_c_gen)

Data file: Child_W4_Anon_V1.0

Overview

Valid: 13047

Invalid: 871

Minimum: 1

Maximum: 2

Type: Discrete

Decimal: 0

Start: 142

End: 143

Width: 2

Range: -9 - 2

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%
1	Male	6462	49.5%
2	Female	6585	50.5%
Sysmiss		871

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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