Volunteer Activities Survey 2010

South Africa, 2010

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Reference ID

ZAF_2010_VAS_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

Nov 01, 2021

Last modified

Nov 01, 2021

Page views

3288

Downloads

194

Identification

Survey ID number

ZAF_2010_VAS_v01_M

Title

Volunteer Activities Survey 2010

Country/Economy

Name	Country code
South Africa	ZAF

Study type

Other Household Survey [hh/oth]

Series Information

Statistics South Africa. Volunteer Activities Survey 2010 [dataset]. Version 1.1. Pretoria: Statistics South Africa [producer], 2011. Cape Town: DataFirst [distributor], 2013. DOI: https://doi.org/10.25828/j8zk-ap57

Abstract

The Volunteer Activities Survey (VAS) is a household-based survey conducted by Statistics South Africa (Stats SA). Stats SA conducted the first survey (VAS 2010) in the second quarter of 2010. The VAS collects information on the volunteer activities of individuals aged 15 years and older in South Africa. The respondents were selected from households who took part in the second quarter Quarterly Labour Force Survey (QLFS). Volunteer activities covers unpaid non-compulsory work; that is, the time individuals give without pay to activities performed either through an organization or directly for others outside their own household.

Data on volunteering provides important information on skills application, social network development, social capital and quality of life outcomes. The main aim of the survey is to provide information on the scale of volunteer work and bring into view the sizeable part of the labour force that is invisible in existing labour statistics. The objectives of the VAS are:

• To collect reliable data about people who are involved in volunteer activities.
• To identify organization-based and direct volunteering.
• To give a profile of those engaged in volunteer activities.
• To estimate the economic value of volunteer work.

Kind of Data

Sample survey data [ssd]

Unit of Analysis

Households and individuals

Version

Version Description

Version 01: Edited, anonymised dataset for licensed distribution

Version Date

2011

Version Notes

Version 01:
Version 01 of the dataset was acquired by DataFirst from Statistics South Africa without unique variable lables for each activity.

Version 1.1:
This version, version 1.1, is version 1 with changes made to variable labels to make them unique for each activity.

Scope

Notes

The scope of the Volunteer Activities Survey includes: types of volunteer activities, reasons for volunteer activity, time spent on volunteer activity, and monetary value for volunteer activity.

Coverage

Geographic Coverage

National coverage

Geographic Unit

The lowest level of geographic aggregation covered by the data is province.

Universe

The target population of the survey consists of individuals aged 15 years and older who live in South Africa and who are members of households living in dwellings that have been selected to take part in the second quarter Quarterly Labour Force Survey (QLFS).

Producers and sponsors

Primary investigators

Name
Statistics South Africa

Sampling

Sampling Procedure

The Quarterly Labour Force Survey (QLFS) sample frame was used for data collection in the Volunteer Activities Survey. The sample for the QLFS is based on a stratified two-stage design with probability proportional to size (PPS) sampling of primary sampling units (PSUs) in the first stage, and sampling of dwelling units (DUs) with systematic sampling in the second stage. The frame was developed as a general-purpose household survey frame that can be used by all other household surveys irrespective of the sample size requirement of the survey. The sample is based on information collected by Statistics SA during the 2001 Population Census and is designed to be representative at the provincial level and within provinces at the metro/non-metro level. Within the metros, the sample is further distributed by geography type. The four geography types are: urban formal, urban informal, farms and tribal land.

Weighting

Weighting
The sampling weights for the data collected from the sampled households are constructed in such a manner that the responses could be properly expanded to represent the entire population of South Africa. The weights are the result of calculations involving several factors, including original selection probabilities, adjustment for non-response, and benchmarking to known population estimates from the Demographic division of Stats SA.

Final survey weights
The final VAS weight assigned to each responding unit is computed as the product of the QLFS person weight and the non-response adjustment factor. The sum of the QLFS person weight qualifying for VAS (for both respondents and non-respondents, excluding out-of-scope persons) must be equal to the sum of the final VAS person weight.

Survey instrument

Questionnaires

The 2010 VAS questionnaire consists of the following sections:

Particulars of the dwelling
Households at selected dwelling unit
Response details
Main activities

Data collection

Dates of Data Collection

Start	End
2010-04	2010-06

Data Collection Notes

The Volunteer Activities Survey (VAS) consisted of two stages. The first stage involved identifying individuals who were involved in volunteer activities through the QLFS conducted in the second quarter of 2010 (Q2:2010). The second stage involved follow-up interviews with individuals who were involved in volunteer activities, to determine the type of activities they were involved in and whether the activities performed were organisation-based or direct volunteering.

Data Access

Access authority

Name	Affiliation	URL	Email
DataFirst	University of Cape Town	www.datafirst.uct.ac.za	support@data1st.org

Access conditions

Public use files, available to all

Citation requirements

Disclaimer and copyrights

Disclaimer

The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.

Contacts

Name	Affiliation	Email
DataFirst Helpdesk	University of Cape Town	support@data1st.org

Metadata production

DDI Document ID

DDI_ZAF_2010_VAS_v01_M

Producers

Name	Affiliation	Role
DataFirst	University of Cape Town	Metadata producer
Development Economics Data Group	The World Bank	Metadata adapted for Microdata Library

Date of Metadata Production

2021-02-03

Metadata version

DDI Document version

Version 01: This metadata was downloaded from DataFirst website(https://www.datafirst.uct.ac.za/dataportal/index.php/catalog/central). The following two metadata information has been edited – Document and Survey ID.

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