A giant step in agriculture statistics

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A giant step in agriculture statistics

A giant step in agriculture statistics

Background On 05 August 2013, Statistics South Africa (Stats SA) published an ‘Agricultural households’ report which is based on Population Census 2011 (Census 2011). This report covers all types of agriculture, namely subsistence, smallholder and commercial. This is an important milestone since as a country, we are taking the first step to better understand and   read more »


Statistics South Africa presents the Population Census 2011: Agricultural Households Release

Date: 5 August 2013 “The report presents the status of the South African household based on agriculture as depicted in the Population Census of 2011 addressing the three agriculture related questions in the Census 2011 questionnaire” said Statistician General Pali Lehohla. The number of households engaged in agriculture (also referred to as agricultural households in   read more »


Stats SA launches new-look website

Date: 2 August 2013 Statistics South Africa (Stats SA) is pleased to announce the launch of its new-look website, which took place in the district of Umkhanyakude on 01 August 2013. Stats SA’s new website is an expression of a deeper paradigm shift. No longer are data and information simply seen as a set of   read more »


Empowering communities through statistics

Do you know how many people live in your community? How many are unemployed? Do you know how many households in your area have access to safe water, electricity and refuse removal? While information at a national level can be interesting, what people really want is to know about the place where they live. To   read more »


The power of place: My suburb, my township, my village

Silvertown is a township in Port Elizabeth, Eastern Cape named after all the silver zinc shacks used as housing in the area. After the Census 2011 place name data was released in the township in April 2013, the media reported Silvertown to be the worst place to live in South Africa. The census data provides   read more »


South Africans are living longer

South Africans are living longer

The mid-year population estimates are used to account for population change during the period between Censuses and usually takes place at the mid-year point. This is usually done annually, rather than over a period of time as is the case with census, which is conducted after every 5 or 10 years. This year’s mid-year population   read more »


What are South Africans dying of?

What are South Africans dying of?

Statistics South Africa (Stats SA) has released a report dealing with Mortality and Causes of Death in South Africa. The release is based on data obtained from deaths that occurred in 2010 and were registered at the Department of Home Affairs.             Starting in 2007, less people have been dying   read more »


Gross Domestic Product (GDP) figures released.

Gross Domestic Product (GDP) figures released.

Gross Domestic Product (GDP) figures for the first quarter of 2013 were released on 28 May 2013, at a press conference in Sandton, which included key stakeholders from other institutions. The much anticipated release drew wide reaction from various market watchers, while the media appreciated Stats SA’s initiative of taking data to them. “This is   read more »


Offences and penalties

18. (1) Any officer of Statistics South Africa who, in the course of his or her employment in terms of this Act— (a) wilfully makes any false declaration, statement or return; (b) obtains or seeks to obtain information that he or she is not duly authorised to obtain; (c) puts to any person a question   read more »


Confidentiality and disclosure

17. (1) Despite any other law, no return or other information collected by Statistics South Africa for the purpose of official or other statistics that relates to— (a) an individual; (b) a household; c) an organ of state; (d) a business; or (e) any other organisation, may, subject to subsections (2) and (3), be disclosed   read more »


Report-03-04-01 - Migration and changing settlement patterns: Multilevel data for policy

The report presents the findings of multilevel analyses of two migration data sets, namely the Census 2001 of Statistics South Africa and the Agincourt Health and Demographic Surveillance System of the University of Witwatersrandread more »


D0403 - Labour accounts for South Africa

The first aim of this discussion document is to investigate whether South Africa has sufficient data and the capacity to extend the development of the social accounting matrix (SAM) to include labour accounts. The second aim is to investigate whether Stats SA will be in a position to publish labour accounts sub-matrices either as an external matrix, or as part of the main structure of the next SAM.read more »


Report-03-02-16 - Achieving a better life for all: Progress between Census 1996 and Census 2001

This report, drawing on census data from 1996 and 2001, illustrates in detailed statistics the number of areas where achievements are evident and others where there remains much to be done. In the areas where much remains to be done, we ask: at what speed should those changes be occurring? This is a very important question, in view of governmentread more »


Report-03-02-44 - Prevalence of disability in South Africa

Census 2001 was the second census to be carried out in a democratic South Africa to provide demographic and socio-economic data required to inform policy decision-making as well as ascertain the achievements made in the provision of basic services to the people. Data on disability were collected as part of this important endeavour. This report highlights the key findings on disability emanating from the analysis of these data.read more »


HealthOHS - Perceived health and other health indicators in South Africa

This report examines how the health status of various sectors of the South African population was perceived in 1999. It includes a special focus on women and children, and on household living conditions in relation to perceived health status. It also focuses on indicators of quality of life, and the use of health services. It uses data from the October household survey (OHS) of 1999.read more »


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