Quarterly Labour Force Survey 2017, Quarter 4

South Africa, 2017

Get Microdata

Reference ID

ZAF_2017_QLFS-Q4_v01_M

Producer(s)

Statistics South Africa

Collection(s)

DataFirst , University of Cape Town, South Africa

Metadata

Documentation in PDF DDI/XML JSON

Study website

Created on

Jun 06, 2018

Last modified

Jun 06, 2018

Page views

12297

Downloads

1565

Paid sick leave (Q47cSICK)

Data file: qlfs-2017-q4-worker-1.0

Overview

Valid: 15219

Invalid: 53132

Type: Discrete

Decimal: 0

Start: 109

End: 109

Width: 1

Range: 1 - 2

Format: Numeric

Questions and instructions

Categories

Value	Category	Cases
1	Yes	6838	44.9%
2	No	8381	55.1%
Sysmiss		53132

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.

Back to Catalog