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    Home / Data Portal / STATSSA / ZAF-STATSSA-TUS-2000-V1
StatsSA

Time Use Survey 2000

South Africa, 2000
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Reference ID
zaf-statssa-tus-2000-v1
Producer(s)
Statistics South Africa
Collections
Statistics South Africa
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jan 06, 2012
Last modified
Jan 06, 2021
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  • Study Description
  • Data Description
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  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • survey_instrument
  • Data Collection
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  • Metadata production
  • Identification

    Survey ID number

    zaf-statssa-tus-2000-v1

    Title

    Time Use Survey 2000

    Country
    Name Country code
    South Africa zaf
    Study type

    Household Survey [hh]

    Series Information

    Statistics South Africa. Time use survey 2000 [dataset]. Version 1. Pretoria: Statistics South Africa [producer], 2001. Cape Town: DataFirst [distributor], 2011. DOI: https://doi.org/10.25828/tjdv-k836

    Abstract

    The Time Use Survey (TUS) is a household-based survey that measures and analyses the time spent by women and men, girls and boys, the rich and the poor, on different activities over a specified period. Statistics South Africa (Stats SA) conducts time use surveys using the 'yesterday' diary approach. A 'yesterday' diary is one in which the respondent is asked what they did for each period in the 24 hours of a day preceding the survey interview. Unlike data from other surveys, time use data reflects what activities are performed, how they are performed and how long it takes to perform such activities. Such activities include paid work, unpaid work, volunteer work, domestic work, leisure and personal activities.

    Stats SA conducted the first TUS in 2000 and the second one in 2010. The TUS aims to provide information on the division of both paid and unpaid labour between women and men, shed light on the reproductive and leisure activities of household members, and provide information about less well-understood productive activities such as subsistence work, casual work and work in the informal sector. Therefore, TUS surveys can be used for gender policy analysis in relation to employment and unemployment, services for children, the elderly and people with disabilities, and provision of basic household services such as electricity and water that obviate the need for manual collection of fuel and water for household use.

    Kind of Data

    Sample survey data

    Unit of Analysis

    Households and individuals

    Version

    Version Description

    v1: Edited, anonymised dataset for licensed distribution

    Version Date

    2001

    Scope

    Notes

    The TUS collects household data and demographic data on two people selected as respondents in each household. Each of the selected respondents was asked what activities they undertook in the twenty four hours starting at 4 am the previous day and ending at 4 am on the day of the interview. The activity classification system used in the TUS has ten broad categories which are consistent with the System of National Accounts (SNA) which underlies the calculation of gross domestic product (GDP). These include:

    SNA production:

    1. Work in establishments includes activities such as waged employment, domestic work, and looking for work.
    2. Primary production not for establishments includes activities such as subsistence farming, and collecting fuel and water.
    3. Other production of goods and services not for establishments includes activities such as home-based production, informal street trading, and informal provision of services such as hairdressing.

    Non-SNA production:

    1. Household maintenance includes activities such as housework and personal and household shopping.
    2. Care of persons in the household includes looking after children, the sick, the elderly and the disabled members of the household.
    3. Community service to non-household members includes activities such as caring for non-household members, cooking for collective occasions, and volunteering with an organisation.

    Non-productive:

    1. Learning includes activities such as attendance at school, doing homework, and attending work-related and non-formal courses.
    2. Social and cultural includes activities such as socialising, participating in cultural and religious activities, participating in and observing sports.
    3. Mass media use includes activities such as watching television, listening to the radio and visiting the library.
    4. Personal care includes activities such as sleeping, eating and drinking, washing and dressing oneself, and receiving medical and personal care.
    Keywords
    Time use Intra-household economics Employment

    Coverage

    Geographic Coverage

    The survey has national coverage

    Geographic Unit

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

    Universe

    The TUS sample covered the non-institutional population aged 10 years and above excluding those living in worker hostels - thus representing an estimated 39,9 million people.

    Producers and sponsors

    Primary investigators
    Name
    Statistics South Africa
    Funding Agency/Sponsor
    Name Role
    Norwegian Agency for Development Cooperation Funder
    Other Identifications/Acknowledgments
    Name Affiliation Role
    Statistics Norway Government of Norway Technical advisors

    Sampling

    Sampling Procedure

    The TUS 2000 sample frame was based on the frame prepared for the 1999 Survey of activities of young people (SAYP). This sample frame was based on the 1996 population census enumerator areas (EAs) and the number of households counted in the 1996 population census. The sampled population excluded all prisoners in prison, patients in hospital, people residing in boarding houses and hotels (whether temporary or semi-permanent), and boarding schools. The 16 EA types from the 1996 Population Census were condensed into four area types, or strata. The four strata were formal urban, informal urban, non-commercial farming rural, and commercial farming areas. Institution type EAs were excluded from the sample.

    The sample 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 EAs were explicitly stratified by province, and within a province by the four strata. The sample size (10 800 dwelling units, with 3 600 units in each of the three tranches) was disproportionately allocated to the explicit strata using the square root method. Within the strata, the EAs were ordered by magisterial district and the EA-types included in the area type (implicit stratification). PSUs consisted of an EA of at least 100 dwelling units. Where an EA contained less than 100 dwelling units, EAs were pooled (using Kish's method of pooling) to meet this requirement. Most EAs had fewer than 100 dwelling units. The dwelling unit was taken as the ultimate sampling unit (USU).

    survey_instrument

    Questionnaires

    The questionnaire for the TUS is comprised of five sections:

    Section 1 - details of all household members
    Section 2 - demographic details of the first person selected (respondent one) in each household
    Section 3 - recorded activities performed by respondent one in each household (diary)
    Section 4 - demographic details of the second person selected (respondent two) in each household
    Section 5 - recorded activities performed by respondent two in each household (diary)

    The diary was divided into half-hour slots. Respondents were asked an open-ended question on the activities performed during each half-hour period. These activities were then post-coded by the fieldworker according to the activity classification system. The respondent could report up to three activities for each time slot. Where there was more than one activity reported for a half hour, the respondent was asked whether these activities were conducted simultaneously, or one after the other.

    The sections of the questionnaire for household and demographic data collection also contained additional questions on issues likely to affect time use. For example questions on access to household appliances owned. The questionnaire includes two location codes for each recorded activity. The first code provides for eight broadly-defined locations plus the mobile activity of travel. Where the location of a particular activity could be classified as more than one of the given options, the option highest on the list took precedence. The second code distinguished whether the activity was done inside or outside for the eight broadly-defined locations, and distinguished the mode of travel for all travel activity.

    Data Collection

    Dates of Data Collection
    Start End Cycle
    2000-02 2000-05 Tranche 1
    2000-06 2000-09 Tranche 2
    2000-10 2000-12 Tranche 3
    Data Collection Notes

    The fieldwork for the study was conducted in three tranches, in February, June, and October 2000 to incorporate possible seasonal variations in time use. Data was collected through an interview rather than allowing the respondent to complete the questionnaire, to take into account the high levels of illiteracy in the country. To promote comparability, the diary was administered even where the person was literate and numerate. Questionnaires were also administered in the language chosen by the respondent.

    Data Access

    Access authority
    Name Affiliation URL Email
    DataFirst University of Cape Town http://www.datafirst.uct.ac.za support@data1st.org
    Access conditions

    Public use files, available to all

    Citation requirements

    Statistics South Africa. Time use survey 2000 [dataset]. Version 1. Pretoria: Statistics South Africa [producer], 2001. Cape Town: DataFirst [distributor], 2011. DOI: https://doi.org/10.25828/tjdv-k836

    Contacts

    Contacts
    Name Affiliation Email URL
    DataFirst Helpdesk University of Cape Town support@data1st.org http://support.data1st.org/

    Metadata production

    DDI Document ID

    ddi-zaf-datafirst-tus-2000-v2

    Producers
    Name Affiliation Role
    DataFirst University of Cape Town Metadata Producer
    Date of Metadata Production

    2021-01-06

    Metadata version

    DDI Document version

    Version 5

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