SAPRIN COVID-19 Individual and Household Observations 2023 Datasets

South Africa, 2020 - 2023

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Reference ID

DDI.SAPRIN.SC19IHO2023V2

Producer(s)

Dr Kobus Herbst, Prof Mark Collinson, Tinofa Mutevedzi, Prof Steve Tollman, Dr Eric Maimela, Prof Willem Hanekom

Metadata

Documentation in PDF DDI/XML JSON

Created on

Jan 16, 2024

Last modified

Jan 16, 2024

Page views

41541

It would be the best way to avoid getting seriously ill from COVID-19 (va12_avoid_illness)

Data file: SC19IO2023v1

Overview

Valid: 86615

Invalid: 190793

Type: Discrete

Decimal: 0

Width: 12

Range: 0 - 1

Format: Numeric

Questions and instructions

Categories

Value	Category	Cases
0	Not selected	84974	98.1%
1	Selected	1641	1.9%
Sysmiss		190793

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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