National Income Dynamics Study 2014-2015, Wave 4 Secure Data

South Africa, 2014 - 2015

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Reference ID

zaf-saldru-nidssd-2014-2015-v2.0.0

Producer(s)

Southern Africa Labour and Development Research Unit,

Collections

DataFirst Secure Research Data Centre

Metadata

DDI/XML JSON

Created on

Aug 24, 2018

Last modified

Aug 29, 2018

Page views

235416

Downloads

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Best gender (w4_best_gen)

Data file: indderived_W4_Secure_V2.0.0

Overview

Valid: 42372

Invalid: 0

Type: Discrete

Decimal: 0

Width: 14

Range: -9 - 999

Format: Numeric

Questions and instructions

Categories

Value	Category	Cases
-9	Don't know	6	0%
-3	Missing	0	0%
1	Male	19413	45.8%
2	Female	22953	54.2%
999	Dead: No Data	0	0%

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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