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Data supplied to National Treasury for local government equitable share and municipal infrastructure grant formulae in line with the 2011 municipal boundaries

Description: The Community profile databases with GIS Viewer provide the most effective way of accessing small area statistics from the Census 2001 data. Scores of software-selectable tables, customised for user-specified needs, can be drawn for each of the 21 219 sub-places (suburb or village level). Users can obtain a set of CDs at the cost   read more »


Data supplied to National Treasury for conversion of Census 2001 data in line with the preliminary municipal boundaries as at December 2005 (Ver: DPLG_091205)

Metadata (Word format) – (49KB) Tables: Table 10 – Population by municipality (Excel format) – (33KB) Table 11 – Population by municipality and urban / rural (Excel format) – (63KB) Table 12 – Population by municipality and individual income and employment status (Excel format) – (441KB) Table 20 – Households by municipality (Excel format) –   read more »


Metadata

Introduction ZIP (23KB) PDF (290KB) Information on Geography ZIP (88KB) PDF (329KB) Information on Persons ZIP (1.9MB) PDF (1.5MB) Information on households and housing ZIP (663KB) PDF (712KB) Information on Mortality ZIP (72KB) PDF (207KB) Imputation flags for households and persons ZIP (75KB) PDF (113KB) Questionnaire A PDF (145KB) Questionnaire B PDF (94KB) Questionnaire C   read more »



Community Profile Databases

Description: The Community profile databases with GIS Viewer provide the most effective way of accessing small area statistics from the Census 2001 data. Scores of software-selectable tables, customised for user-specified needs, can be drawn for each of the 21 219 sub-places (suburb or village level). Users can obtain a set of CDs at the cost   read more »


CENSUS 2011 Data-Processing

Data-processing fact box Approximately 225-million pages will be handled and scanned during the data-capturing phase of Census 2011 Statistics South Africa’s Data Processing Centre has the capacity to scan an A4 box of paper per minute, i.e. all 2500 pages double-sided in colour in one minute Production will be running 24 hours a day, seven   read more »


Invitation to the 2nd ISIbalo Lecture: A World That Counts – Data Revolution for the post-2015 sustainable development goals agenda: Talk at the University of Pretoria

Invitation to the 2nd ISIbalo Lecture A World That Counts – Data Revolution for the post-2015 sustainable development goals agenda: Talk at the University of Pretoria The Statistician-General, Mr Pali Lehohla, has great pleasure in inviting you to the Data Revolution Outreach Programme, to be hosted by the Vice-Chancellor and Principal of the University of   read more »


Meta data

Meta Data. Right-click here to download the metadata. (PDF: 449KB)


Interactive data

Create your own tables (PX-WEB) Create your own tables – within your browser window – using the key results data from the Community Survey. Save the resulting tables in Excel, .txt, .csv or HTML format for download to your PC, or simply print the results directly from your browser window. Click here to create tables   read more »


Metadata & related

Metadata Geography metadata Editing manual PES (Methodology, sampling frame, tables)  How the count was done Placename lookup tables Concepts & Definitions Statistics Council


Report-03-10-02 - Men, Women and Children: Findings of the Living Conditions Survey

Men, Women and Children is a report based on the results of the Living Conditions Survey (LCS) conducted between September 2008 and August 2009. The main aim of this survey is to provide data that will contribute to better understanding poverty in South Africa and to provide data for monitoring levels of poverty over time. The report seeks to understand the adult population, the household situation and the child population through profiling their living circumstances and levels of poverty. Special focus is given to the differences between males and females, whether at the level of the household head or the individual. read more »


Report-03-10-06 - Poverty trends in South Africa: An examination of absolute poverty between 2006 and 2011

The Poverty Trends report analyzes trends in poverty and inequality between 2006 and 2011 drawing on money-metric data collected through the Income and Expenditure Survey (IES) 2005/06 and 2010/11, as well as the Living Conditions Survey (LCS) 2008/09. We profile poverty at both a household and individual level. This report also examines the expenditure profile of poor and non-poor households with specific attention given to the differences in food expenditure between these two groups. read more »


P0351.4 - Documented Immigrants in South Africa

The release provides information on the number, nationality, types of permits and the age structure of the recipients of South Africa temporary and permanent residence permits. The data on these recipients come from the permit administrative system maintained by the Department of Home Affairs (DHA). Stats SA processes the data on permit applications that are approved during a calendar year. The results from the release contribute to information regarding the number and characteristics of documented immigrants in South Africa. read more »


Report 03-01-22 - The state of basic service delivery in South Africa: In-depth analysis of the Community survey 2016 data

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P0310 - Living Conditions of Households in South Africa

The Living Conditions of Households in South Africa 2008/2009 is based on the results of the Living Conditions Survey (LCS) conducted in September 2008 to August 2009. This was the first LCS ever conducted by Stats SA. The next LCS will be conducted in 2013/14. This report provides information on the living circumstances of households in South Africa with special reference to spending patterns of households on different expenditure items. The report provides information on indicators such as average annual household expenditure, share of the bottom quintile to total household expenditure as well as in-kind expenditure such as free electricity, free water, etc. These indicators are derived using household expenditure data collected from households through the use of diaries and household questionnaire. read more »


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