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    Home / Data Portal / SALDRU / ZAF-SALDRU-SAIFS-1999-V1.1
SALDRU

South African Integrated Family Survey 1999, Langeberg Survey

South Africa, 1999
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Reference ID
zaf-saldru-saifs-1999-v1.1
Producer(s)
Southern Africa Labour and Development Research Unit
Collections
Southern Africa Labour and Development Research Unit
Metadata
Documentation in PDF DDI/XML JSON
Created on
Apr 23, 2013
Last modified
Apr 28, 2020
Page views
605433
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  • Study Description
  • Data Description
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  • Identification
  • Version
  • Scope
  • Coverage
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  • Sampling
  • survey_instrument
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  • Identification

    Survey ID number

    zaf-saldru-saifs-1999-v1.1

    Title

    South African Integrated Family Survey 1999

    Subtitle

    Langeberg Survey

    Country
    Name Country code
    South Africa zaf
    Study type

    Household Survey [hh]

    Series Information

    Southern Africa Labour and Development Research Unit. South African Integrated Family Survey 1999. [dataset]. Version 1.1. Cape Town: SALDRU [producer], 2001. Cape Town: DataFirst [distributor], 2013. DOI: https://doi.org/10.25828/fsdq-hf81

    Abstract

    The South African Integrated Family Survey was undertaken in the second half of 1999 in the Langeberg district of the Western Cape province of South Africa. This area comprises the three magisterial districts of Mossel Bay, Heidelberg, and Riversdal which, at the time of the 1996 census, had a population of just under 97 000 persons of whom more than three-quarters (78%) lived in urban areas. The remaining 22% of the population lived in 'non-urban' areas, mainly commercial farms.

    Kind of Data

    Sample survey data

    Unit of Analysis

    Households and individuals

    Version

    Version Description

    v1.1: Edited, anonymised data for public distribution

    Version Date

    2001

    Version Notes

    Version 1.1 of the dataset is the original dataset from SALDRU, with value labels added by DataFirst. Additional changes include the correction of variable labels in householdmod_01d, oldergivemoney_01d and olderhea_02d files.

    Changes in version 1.1
    Corrections were made to variables in the following files, which had been mislabelled
    Filename: SAIFS 1999 Householdmod_01d.dta
    variable name old variable label new variable label
    EndingHo QB19.1 Ending hour of module QB18.1 Ending hour of module
    EndingMi QB19.1 Ending minute of module QB18.1 Ending minute of module
    Comprehe QB19.3 Comprehension level QB18.3 Comprehension level
    Cooperat QB19.4 Cooperation level QB18.4 Cooperation level
    Assistan QB19.5 Assistance? QB18.5 Assistance?
    Addition QB19.7 Additional information QB18.7 Additional information

    Filename: SAIFS 1999 Oldergivemoney_01d.dta
    variable name variable label variable label
    Employed QC20.12 Is he/she employed? QC15.12 Is he/she employed?
    Occup_a1 QC20.13 What is his her occupation? QC15.13 What is his her occupation?
    Occup_a2 QC20.13 Occupation code? QC15.13 Occupation code?

    Filename: SAIFS 1999 Olderhea_02d.dta
    All variables. These had been mislabelled as being from Section I but were from Section E. These were renamed replacing "QI" with "QE".

    Remaining Data Quality Issues
    After corrections to the data by DataFirst, remaining identified data quality issues with the dataset are that the variables identified in the files below do not have corresponding questions in the questionnaires for the survey:
    Filename: SAIFS 1999 Householdmod_01d.dta
    variable name variable label
    HelpFami QB18.1.1 Help violence
    HelpAlco QB18.1.2 Help alcohol
    HelpPhys QB18.1.3 Help physical disability
    HelpMent QB18.1.4 Help mental disability
    HelpElde QB18.1.5 Help elderly
    HelpPreg QB18.1.6 Help pregnancy
    HelpUnem QB18.1.7 Help unemployment
    HelpAids QB18.1.8 Help HIV/AIDS
    HelpOthe QB18.1.9 Help other
    HelpOth1 QB18.1.9 Help other specified
    DTCInAre QB18.2 District Transformation Commitee DTC
    DTCMembe QB18.2a Member of DTC
    WelfareM QB18.3 Welfare member
    Communit QB18.4 Community centre in area?
    Sufficie QB18.5 Sufficient creches?

    Filename: SAIFS 1999 Householdorganise_01d.dta
    All variables

    Scope

    Notes

    The survey collected data on household demographics and health (including mental health), dwelling characteristics, household goods and services, education, employment, mortality and migration, income and expenditure (including grants and pensions) and data on social integration and life satisfaction.

    Topics
    Topic Vocabulary URI
    consumption/consumer behaviour [1.1] CESSDA http://www.nesstar.org/rdf/common
    income, property and investment/saving [1.5] CESSDA http://www.nesstar.org/rdf/common
    employment [3.1] CESSDA http://www.nesstar.org/rdf/common
    EDUCATION [6] CESSDA http://www.nesstar.org/rdf/common
    HEALTH [8] CESSDA http://www.nesstar.org/rdf/common
    housing [10.1] CESSDA http://www.nesstar.org/rdf/common
    cultural activities and participation [13.2] CESSDA http://www.nesstar.org/rdf/common
    social behaviour and attitudes [13.6] CESSDA http://www.nesstar.org/rdf/common
    social conditions and indicators [13.8] CESSDA http://www.nesstar.org/rdf/common
    migration [14.3] CESSDA http://www.nesstar.org/rdf/common
    morbidity and mortality [14.4] CESSDA http://www.nesstar.org/rdf/common
    specific social services: use and provision [15.3] CESSDA http://www.nesstar.org/rdf/common

    Coverage

    Geographic Coverage

    The survey covered the Langeberg region of the Western Cape Province in South Africa

    Geographic Unit

    The lowest level of geographic aggregation covered by the data is magisterial district

    Universe

    The survey covered all de jure household members in the area of Langeberg

    Producers and sponsors

    Primary investigators
    Name Affiliation
    Southern Africa Labour and Development Research Unit University of Cape Town
    Funding Agency/Sponsor
    Name Role
    Andrew W. Mellon Foundation Funder
    MacArthur Foundation Funder
    National Institute of Aging Funder for pilot study
    John D. and Catherine T. MacArthur Foundation Funder for pilot study
    HSRC/UCT Centre for Gerontology Funder for pilot study

    Sampling

    Weighting

    Weights are the inverse of the probability of selection of the household (which were calculated when the sample EAs were drawn) times the inverse of the response rate (which may be interpreted as an inverse probability of selection under the assumption that observations are missing at random within EA's). This product summed across the 294 households to an arbitrary number approximately equal to the total number of households in the Langeberg district. The weights were rescaled to sum across completed households to the sample size, 294, by dividing each weight (the product) by the mean weight for the 294 cases. The Rescaled weight is the weight adjusted for non-response in the survey and the Rcensus weight is the Rescaled weight adjusted to 1996 population census proportions.

    survey_instrument

    Questionnaires

    Data was collected from a stratified sample consisting of 294 households (103 Black; 126 Coloured; and 65 White) by means of four questionnaires: one directed at adults of 55 years and older; one at younger adults (between 18 and 54 years of age) and two focused on health (including anthropometric measurements) of adults and children. The survey instrument used was one that had been developed over a four year period and was the joint product of researchers at the University of Cape Town (Monica Ferreira, HSRC/UCT Centre for Gerontology, Karen Charlton, Nutrition and Dietetics Unit; and Jaqui Goldin, SALDRU); University of the Western Cape (Pieter le Roux, Economics); University of the Witwatersrand (Merton Dagut, and Martin Wittenberg, Faculty of Commerce); Rhodes University (Valerie Moller); the Medical Research Council (Krisela Steyn and Debbie Bradshaw); Princeton University (Anne Case and Angus Deaton, Economics and Woodrow Wilson School); Harvard University (Robert Jensen, Kennedy School of Government, and David Bloom, School of Public Health); MIT (Courtney Coile, Economics); the Health Systems Trust (Dr John Gear) and the Western Cape Provincial Dept. of Health (Drs. Najma Shaikh, Mike Hendricks & Ingrid le Roux) together with other persons in the medical community of South Africa. This team of gerontologists, economists, public health experts and physicians grappled with the survey design, both structure and content, through many rounds of piloting, until there was consensus that the questionnaire worked well in the field.

    Data Collection

    Dates of Data Collection
    Start
    1999
    Mode of data collection
    • Face-to-face [f2f]

    Data Access

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

    Public use files, available to all

    Citation requirements

    Southern Africa Labour and Development Research Unit. South African Integrated Family Survey 1999. [dataset]. Version 1.1. Cape Town: SALDRU [producer], 2001. Cape Town: DataFirst [distributor], 2013. DOI: https://doi.org/10.25828/fsdq-hf81

    Contacts

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

    Metadata production

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

    2020-04-28

    Metadata version

    DDI Document version

    Version 3

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