The GHS is an annual household survey, specifically designed to measure various aspects of the living circumstances of South African households

Statistics South Africa

South Africa Data Archive

    
    
    
 
 
 
 
SADA 
 
South African Data Archive 
 
 
 
 
 
 
 
 
GENERAL HOUSEHOLD SURVEY, 2003  
 (South Africa) 
 
 
 
 
 
Statistics South Africa (Stats SA) 
 
 
 
 
 
 
 
 
 
CODEBOOK 
 
SADA 0136 
 
 
 
 
    
    
    
 
BIBLIOGRAPHIC CITATION 
 
Any publication or other presentation based in whole or part on the data and documentation supplied by 
SADA must prominently use the following citation: 
 
 
Statistics South Africa. General Household Survey, 2003 [Computer file]. S0136. Pretoria: 
Statistics South Africa [producer], 2003. Pretoria: South African Data Archive, National 
Research Foundation [distributor], 2004. 
 
DEPOSIT OF PUBLICATIONS 
 
At least one copy of any published work or report based in whole or part on the dataset will be deposited 
with the South African Data Archive. Please indicate the title and number of the study utilised. 
 
 
LIMITATION OF LIABILITY 
 
The Archive and the depositor of the dataset supplied to the user bear no legal responsibility for their 
accuracy or comprehensiveness. 
 
 
 
Postal Address:             SOUTH AFRICAN DATA ARCHIVE 
    NATIONAL RESEARCH FOUNDATION 
    P.O. BOX 2600 
    Pretoria 
    0001 
Telephone:   +27 12 481 4158/ 4120 
Telefax:             +27 12 349 1179 
Electronic mail:              sada@nrf.ac.za 
World Wide Web:  http://www.nrf.ac.za/sada 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
    
    
    
STUDY DESCRIPTION 
 
SADA 0136 
 
TITLE: General Household Survey, 2003 (GHS 2). 
 
PRINCIPAL INVESTIGATOR: Statistics South Africa (Stats SA) 
 
DEPOSITOR: Statistics South Africa  
 
ORGANISATION HOUSING THE DATA: 
Statistics South Africa 
Private Bag x44 
Pretoria, 0001 
South Africa 
Tel: (012) 310 8600 
Fax: (012) 310 8500 
Email: info@statssa.gov.za 
Web: http://www.statssa.gov.za 
 
KEYWORDS: 
Employment; Unemployment; Household surveys; Housing; Education and Health. 
 
SERIES DATA: 
Series name: Principal Investigator: Currently available: 
General Household Survey Statistics South Africa 2002 - 2011 
 
PURPOSE:  
The GHS is an annual household survey, specifically designed to measure various aspects of the 
living circumstances of South African households. 
 
GEOGRAPHIC LOCATION: South Africa 
 
IMPORTANT VARIABLES: Employment, unemployment, education, health, access to facilities. 
 
DEMOGRAPHIC VARIABLES: Age, gender, level of education, marital status, use of health services, 
economic activity and employment. 
 
UNIVERSE: Households in the nine provinces of South Africa  
 
METHOD OF DATA COLLECTION: Survey Questionnaire 
 
SAMPLING:  
A multi-stage stratified sample was drawn using probability proportional to size principles.  
 
The sample was drawn from the master sample, which Statistics South Africa uses to draw samples for its 
regular household surveys. The master sample is drawn from the database of enumeration areas (EAs) 
established during the demarcation phase of Census 1996. As part of the master sample, small EAs 
consisting of fewer than 100 households are combined with adjacent EAs to form primary sampling units 
(PSUs) of at least 100 households, to allow for repeated sampling of dwelling units within each PSU. The 
sampling procedure for the master sample involves explicit stratification by province and within each 
province, by urban and non-urban areas. Within each stratum, the sample was allocated disproportionately. 
A PPS sample of PSUs was drawn in each stratum, with the measure of size being the number of households 
in the PSU. Altogether approximately 3 000 PSUs were selected. In each selected PSU a systematic sample 
of ten dwelling units was drawn, thus, resulting in approximately 30 000 dwelling units. All households in the 
sampled dwelling units were enumerated. 
    
    
    
The master sample is divided into five independent clusters. In order to avoid respondent fatigue (the LFS is 
a rotating panel survey which is conducted twice yearly), the GHS sample uses a different cluster from the 
LFS clusters.   
 
WEIGHTING: 
A two-stage weighting procedure was done on the GHS 2003 that resulted in two sets of weights, household 
weights and person weights. The household weights are used when analysis is at the household level and 
the person weights are used when analysis is at the individual level. 
 
UNITS OF OBSERVATION: Households 
 
DATE OF DATA COLLECTION: July 2003 
 
EXTENT OF DATA COLLECTION: 5 data files in ASCII and machine-readable documentation. 
 
FILE SPECIFICATIONS: 
 
Part 1: House Data 
 Number of cases:   26 398 
 Number of records:   26 398 
 Number of records per case:  1 
 Logical Record Length:   230 
 Number of variables:   156   
 Number of kilobytes:        5 956 KB 
 
Part 2: Person Data 
 Number of cases:   99 428 
 Number of records:   99 428 
 Number of records per case:  1 
 Logical Record Length:   134 
 Number of variables:   92    
 Number of kilobytes:        13 109 KB 
 
Part 3: stratpsu data 
 Number of cases:   2 961 
 Number of records:   2 961  
 Number of records per case:  1 
 Logical Record Length:   18 
 Number of variables:              3  
 Number of kilobytes:        58 KB 
    
Part 4: Tourism Data 
 Number of cases:   26 397 
 Number of records:   26 397  
 Number of records per case:  1 
 Logical Record Length:   182 
 Number of variables:   71  
 Number of kilobytes:        4 718 KB 
  
Part 5: Worker Data 
 Number of cases:   68 245 
 Number of records:   68 245  
 Number of records per case:  1 
 Logical Record Length:   93 
 Number of variables:   46 
 Number of kilobytes:        6 265 KB 
 PUBLICATIONS: 
Statistics South Africa. 2003. General Household Survey, 2003. Pretoria: Statistics South Africa. 
    
    
    
 
NOTES:  
Most questions in the General Household Survey questionnaire are pre-coded, i.e. there is a set number of 
choices from which one or more must be selected. For open-ended ‘write-in’ questions, the description will 
note that post-coding occurred and explain how this was done.  For most variables the coding is apparent 
from the questionnaire (available elsewhere in the documentation) and is not repeated in the variable 
description.  Where the coding is not apparent, the description either provides the codes or indicates where 
code lists are to be found. 
 
RESTRICTIONS: 
Only available to bona fide researchers. 
 
DATE STUDY ADDED: 
01 November 2004 
 


General Household Survey, 2003

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