Quarterly Labour Force Survey 2022
Quarter 4

South Africa, 2022

Get Microdata

Reference ID

ZAF_2022_QLFS-Q4_v01_M

Producer(s)

Statistics South Africa

Metadata

DDI/XML JSON

Study website

Created on

Mar 07, 2023

Last modified

Mar 07, 2023

Page views

2025

Downloads

228

Gender (Q13GENDER)

Data file: qlfs-2022-q4-worker-v1

Overview

Valid: 1000

Invalid: 0

Type: Discrete

Decimal: 0

Width: 1

Range: 1 - 2

Format: Numeric

Questions and instructions

Categories

Value	Category	Cases
1	Male	488	48.8%
2	Female	512	51.2%

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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