South Africa Population: 15 to 64 Years: White data was reported at 2,978.591 Person th in Sep 2018. This records a decrease from the previous number of 2,987.055 Person th for Jun 2018. South Africa Population: 15 to 64 Years: White data is updated quarterly, averaging 3,143.298 Person th from Mar 2008 (Median) to Sep 2018, with 43 observations. The data reached an all-time high of 3,277.317 Person th in Mar 2008 and a record low of 2,978.591 Person th in Sep 2018. South Africa Population: 15 to 64 Years: White data remains active status in CEIC and is reported by Statistics South Africa. The data is categorized under Global Database’s South Africa – Table ZA.G001: Population.

Abstract

The 1980 South African Population Census was a count of all persons present on Republic of South African territory during census night (i.e. at midnight between 6 and 7 May 1980). The purpose of the population census was to collect, process and disseminate detailed statistics on population size, composition and distribution at small area level. The 1980 South African Population Census contains data collected on HOUSEHOLDS: household goods and dwelling characteristics as well as employment of domestic workers; INDIVIDUALS: population group, citizenship/nationality, marital status, fertility and infant mortality, education, employment, religion, language and disabilities, as well as mode of transport used and participation in sport and other recreational activities

Geographic coverage

The 1980 census covered the so-called white areas of South Africa, i.e. the areas in the former four provinces of the Cape, the Orange Free State, Transvaal, and Natal. It also covered areas in the following so-called National States of Ciskei, KwaZulu, Gazankulu, Lebowa, Qwaqwa, Kangwane, and Kwandebele. The 1980 South African census excluded the areas of the Transkei and Bophuthatswana. A census data file for Bophuthatswana was released with the final South African Census 1980 dataset.

Analysis unit

The units of analysis of the 1980 census includes households, individuals and institutions

Universe

The 1980 South African census covered all household members (usual residents).

The 1980 South African Population Census was enumerated on a de facto basis, that is, according to the place where persons were located during the census. All persons who were present on Republic of South African territory during census night (i.e. at midnight between 6 and 7 May 1980) were enumerated and included in the data. Visitors from abroad who were present in the RSA on holiday or business on the night of the census, as well as foreigners (and their families) who were studying or economically active, were not enumerated and included in the figures. Likewise, members of the Diplomatic and Consular Corps of foreign countries were not included. However, the South African personnel linked to the foreign missions including domestic workers were enumerated. Crews and passengers of ships were also not enumerated, unless they were normally resident in the Republic of South Africa. Residents of the RSA who were absent from the night were as far as possible enumerated on their return and included in the region where they normally resided. Personnel of the South African Government stationed abroad and their families were, however enumerated. Such persons were included in the Transvaal (Pretoria).

Kind of data

Census/enumeration data [cen]

Mode of data collection

Face-to-face [f2f]

Research instrument

The 1980 Population Census questionnaire was administered to all household members and covered household goods and dwelling characteristics, and employment of domestic workers. Questions concerning individuals included those on citizenship/nationality, marital status, fertility and infant mortality, education, employment, religion, language and disabilities, as well as mode of transport used and participation in sport and other recreational activities.

The following questions appear in the questionnaire but the corresponding data has not been included in the data set: PART C: PARTICULARS OF DWELLING: 2. How many separate families (i) Number of families (ii) Number of non-family persons (iii) total number of occupants [i.e. persons in families shown against (i) plus persons shown against 3. Persons employed by household Full-time, Part-time (a) How many persons are employed as domestics by you? (Include garden workers) (b) Total cash wages paid to above –mentioned persons for April 1980 4. Ownership – Do not answer this question if your dwelling is on a farm. (i) Own dwelling – (Including hire-purchase, sectional title property or property of wife): (a) Is the dwelling Fully paid Partly paid-off (b) If partly paid-off, state monthly repayment (include housing subsidy, but exclude insurance. (ii) Rented or occupied free dwelling : (a) Is the dwelling occupied free, rented furnished, rented unfurnished (b) If rented, state monthly rent (c) Is the dwelling owned by the employer? (d) Does it belong to the state, SA Railways, a provincial administration, a divisional council, or a municipality or other local authority? PART D: PARTICULARS OF THE FAMILY 1. Number of members in the family 2. Occupation. (Nature of work done) (a) Head of family (b) Wife 3. Annual income of head of family and wife. Annual income of: Head, Wife (if applicable)

Geographic coverage

The 1985 census covered the so-called white areas of South Africa, i.e. the areas in the former four provinces of the Cape, the Orange Free State, Transvaal, and Natal. It also covered the so-called National States of KwaZulu, Kangwane, Gazankulu, Lebowa, Qwaqwa, and Kwandebele. The 1985 South African census excluded the areas of the Transkei, Bophutatswana, Ciskei, and Venda.

The 1985 Census dataset contains 9 data files. These refer to Development Regions demarcated by the South African Government according to their socio-economic conditions and development needs. These Development Regions are labeled A to J (there is no Region I, presumably because Statistics SA felt an "I" could be confused with the number 1). The 9 data files in the 1985 Census dataset refer to the following areas:

DEV REGION AREA COVERED A Western Cape Province including Walvis Bay B Northern Cape C Orange Free State and Qwaqwa D Eastern Cape/Border E Natal and Kwazulu F Eastern Transvaal, KaNgwane and part of the Simdlangentsha district of Kwazulu G Northern Transvaal, Lebowa and Gazankulu H PWV area, Moutse and KwaNdebele J Western Transvaal

Analysis unit

The units of analysis under observation in the South African census 1985 are households and individuals

Universe

The South African census 1985 census covered the provinces of the Cape, the Orange Free State, Transvaal, and Nata and the so-called National States of KwaZulu, Kangwane, Gazankulu, Lebowa, Qwaqwa, and Kwandebele. The 1985 South African census excluded the areas of the Transkei, Bophutatswana, Ciskei, and Venda.

Kind of data

Census/enumeration data [cen]

Sampling procedure

Although the census was meant to cover all residents of the so called white areas of South Africa, in 88 areas door-to-door surveys were not possible and the population in these areas was enumerated by means of a sample survey conducted by the Human Sciences Research Council.

Mode of data collection

Face-to-face [f2f]

Research instrument

The1985 population census questionnaire was administered to each household and collected information on household and area type, and information on household members, including relationship within household, sex, age, marital status, population group, birthplace, country of citizenship, level of education, occupation, identity of employer and the nature of economic activities

Data appraisal

UNDER-ENUMERATION: The following under-enumeration figures have been calculated for the 1985 census. Estimated percentage distribution of undercount by race according to the HSRC: Percent undercount
Whites 7.6%
Blacks in the “RSA” 20.4% Blacks in the “National States” 15.1% Coloureds 1.0% Asians 4.6%

South Africa Population: Mid Year: White: Male: 70 to 74 Years data was reported at 105,238.000 Person in 2018. This records an increase from the previous number of 95,344.570 Person for 2017. South Africa Population: Mid Year: White: Male: 70 to 74 Years data is updated yearly, averaging 78,333.668 Person from Jun 2001 (Median) to 2018, with 18 observations. The data reached an all-time high of 105,238.000 Person in 2018 and a record low of 55,969.000 Person in 2001. South Africa Population: Mid Year: White: Male: 70 to 74 Years data remains active status in CEIC and is reported by Statistics South Africa. The data is categorized under Global Database’s South Africa – Table ZA.G003: Population: Mid Year: by Group, Age and Sex.

South Africa Population: Mid Year: White: 15 to 19 Years data was reported at 241,482.000 Person in 2018. This records a decrease from the previous number of 249,348.285 Person for 2017. South Africa Population: Mid Year: White: 15 to 19 Years data is updated yearly, averaging 305,985.941 Person from Jun 2001 (Median) to 2018, with 18 observations. The data reached an all-time high of 368,083.010 Person in 2002 and a record low of 241,482.000 Person in 2018. South Africa Population: Mid Year: White: 15 to 19 Years data remains active status in CEIC and is reported by Statistics South Africa. The data is categorized under Global Database’s South Africa – Table ZA.G003: Population: Mid Year: by Group, Age and Sex.

This dataset is a collation of articles written by different authors on the history of South Africa during the apartheid regime (1948 to 1994). Apartheid in South Africa was the racial segregation under the all-white government of South Africa which dictated that non-white South Africans (a majority of the population) were required to live in separate areas from whites and use separate public facilities and contact between the two groups would be limited. The different racial group were physically separated according to their location, public facilities and social life.

South Africa Population: Mid Year: White: 60 to 64 Years data was reported at 288,993.000 Person in 2018. This records an increase from the previous number of 282,310.176 Person for 2017. South Africa Population: Mid Year: White: 60 to 64 Years data is updated yearly, averaging 273,755.401 Person from Jun 2001 (Median) to 2018, with 18 observations. The data reached an all-time high of 288,993.000 Person in 2018 and a record low of 234,193.297 Person in 2002. South Africa Population: Mid Year: White: 60 to 64 Years data remains active status in CEIC and is reported by Statistics South Africa. The data is categorized under Global Database’s South Africa – Table ZA.G003: Population: Mid Year: by Group, Age and Sex.

South Africa Population: Mid Year: White: 20 to 24 Years data was reported at 255,423.000 Person in 2018. This records a decrease from the previous number of 266,305.496 Person for 2017. South Africa Population: Mid Year: White: 20 to 24 Years data is updated yearly, averaging 331,910.775 Person from Jun 2001 (Median) to 2018, with 18 observations. The data reached an all-time high of 355,324.808 Person in 2005 and a record low of 255,423.000 Person in 2018. South Africa Population: Mid Year: White: 20 to 24 Years data remains active status in CEIC and is reported by Statistics South Africa. The data is categorized under Global Database’s South Africa – Table ZA.G003: Population: Mid Year: by Group, Age and Sex.

South Africa Population: Mid Year: White: 5 to 9 Years data was reported at 250,792.000 Person in 2018. This records a decrease from the previous number of 256,119.661 Person for 2017. South Africa Population: Mid Year: White: 5 to 9 Years data is updated yearly, averaging 261,480.156 Person from Jun 2001 (Median) to 2018, with 18 observations. The data reached an all-time high of 323,307.000 Person in 2001 and a record low of 247,604.217 Person in 2010. South Africa Population: Mid Year: White: 5 to 9 Years data remains active status in CEIC and is reported by Statistics South Africa. The data is categorized under Global Database’s South Africa – Table ZA.G003: Population: Mid Year: by Group, Age and Sex.

This record provides an overview of the NESP Marine and Coastal Hub project "Updating knowledge of Australian white sharks". For specific data outputs from this project, please see child records associated with this metadata. The white shark is listed as vulnerable and migratory under Australia’s Environment Protection and Biodiversity Conservation Act 1999. The national White Shark Recovery Plan 2013 sets out research and management actions necessary to support the recovery of the white shark in Australian waters. Previous research funded by the National Environmental Science Program (NESP) provided updated estimates of white shark breeding population size and trend. However, the results were based on modest data sets and were limited by some critical knowledge gaps in relation to pupping and juvenile nursery areas, and uncertainty about how populations are connected between eastern and south-western Australia. Recent unpublished work has raised the prospect of a single Australian population. The White Shark Recovery Plan 2013 has identified a critical need for a quantitative assessment of population trends and evidence of any recovery of the white shark in Australian waters. This project will provide an update and reduce uncertainty regarding the status, trends, and population structure of white sharks in Australian waters. Specifically, it will focus efforts to identify critical habitats and biologically important areas for white sharks and improve the understanding of population status through advancing close-kin mark recapture research. Three project sub-components will involve: • Investigating the feasibility of filling knowledge gaps about juvenile and pupping areas and adult movements; • Investigating population structure to resolve mixing/connectivity questions; and • Updating population estimates based on significant new data. The project approach will comprise of: (1) A pilot study to assess the effectiveness of tagging adult females (>4.5 metres) and juveniles (>2 m) throughout the southern-western white shark range. Genetic samples will be gathered from around Australia and sought from South Africa and New Zealand to conduct a comprehensive update of white shark stock structure. (2) Using an expanded tissue sample set from New South Wales (~1000 samples) to update and refine estimates of adult population size and population trend for the eastern white shark population. Juvenile numbers will be estimated using data from the New South Wales shark management program. Additional samples from South Australia and Western Australia will be combined with previous samples in the southern-western population to refine estimates of population size. (3) Population estimates undertaken using close-kin mark-recapture, a technique that combines advanced genetics and statistical modelling to infer population demographics by identifying close-kin-pairs (parent-offspring or half-siblings) among a collection of sampled animals. Outputs • New genetic samples and sequencing data for white sharks [dataset] • Tracking data derived from 12 PAT tags [dataset] • Final technical report (including recommendations for systematic future research to assist in identifying additional critical habitat for the south-western white shark population) [written]

South Africa faces an epidemic of chronic non-communicable diseases (NCDs), yet national surveillance is limited due to the lack of recent data. We used data from the first comprehensive national survey on NCDs—the South African National Health and Nutrition Examination Survey (SANHANES-1 (2011–2012))—to evaluate the prevalence of and health system response to diabetes through a diabetes care cascade. We defined diabetes as a Hemoglobin A1c equal to or above 6.5% or currently on treatment for diabetes. We constructed a diabetes care cascade by categorizing the population with diabetes into those who were unscreened, screened but undiagnosed, diagnosed but untreated, treated but uncontrolled, and treated and controlled. We then used multivariable logistic regression models to explore factors associated with diagnosed and undiagnosed diabetes. The age-standardized prevalence of diabetes in South Africans aged 15+ was 10.1%. Prevalence rates were higher among the non-white population and among women. Among individuals with diabetes, a total of 45.4% were unscreened, 14.7% were screened but undiagnosed, 2.3% were diagnosed but untreated, 18.1% were treated but uncontrolled, and 19.4% were treated and controlled, suggesting that 80.6% of the diabetic population had unmet need for care. The diabetes care cascade revealed significant losses from lack of screening, between screening and diagnosis, and between treatment and control. These results point to significant unmet need for diabetes care in South Africa. Additionally, this analysis provides a benchmark for evaluating efforts to manage the rising burden of diabetes in South Africa.

South Africa Population: Mid Year: White: 0 to 4 Years data was reported at 227,461.000 Person in 2018. This records a decrease from the previous number of 235,336.221 Person for 2017. South Africa Population: Mid Year: White: 0 to 4 Years data is updated yearly, averaging 257,879.424 Person from Jun 2001 (Median) to 2018, with 18 observations. The data reached an all-time high of 303,011.000 Person in 2001 and a record low of 227,461.000 Person in 2018. South Africa Population: Mid Year: White: 0 to 4 Years data remains active status in CEIC and is reported by Statistics South Africa. The data is categorized under Global Database’s South Africa – Table ZA.G003: Population: Mid Year: by Group, Age and Sex.

Abstract (en): The purpose of this study was to explore the relationship between truth acceptance and reconciliation among South Africans during and since the political transition from Apartheid to democracy. The study investigated the extent to which South Africans participated in the truth as promulgated by the Truth and Reconciliation Commission and the degree to which they were "reconciled." The Truth and Reconciliation Commission (TRC) was based on the Promotion of National Unity and Reconciliation Act of 1995. The TRC investigated past gross human rights violations and granted amnesty to individuals in exchange for full and public disclosure of information related to these crimes. The hypothesis that truth acceptance leads to reconciliation was tested in this research. Data were collected through a rigorous and systematic survey of South Africans. Nearly all relevant segments of the South African population were included in the sample, as well as representative subsamples of at least 250 respondents of most major racial/ethnic/linguistic groups. Questions about the TRC investigated respondent awareness, knowledge, and approval of the activities of the TRC. Respondents were asked for their opinions on the effectiveness of the TRC in its efforts to provide a true and unbiased account of South Africa's history and in awarding compensation to those who suffered abuses under the Apartheid regime. Other questions about the TRC asked respondents how important it was to find out the truth about the past and achieve racial reconciliation. Demographic variables include age, marital status, education level, and employment status. Response Rates: A total of 3,727 interviews were completed. In the primary sample, 3,139 interviews were completed. The boost sample included 588 completed interviews. The overall response rate for the survey was approximately 87 percent. South African population, aged 18 and over. The area probability sample included a primary sample of South Africans of all races and a boost sample of white South Africans. Representative subsamples of at least 250 respondents of most major racial, ethnic, and linguistic groups were also included. 2005-12-15 On 2005-08-15 new files were added to one or more datasets. These files included additional setup files as well as one or more of the following: SAS program, SAS transport, SPSS portable, and Stata system files. The metadata record was revised 2005-12-15 to reflect these additions. Funding insitution(s): National Science Foundation (SES 9906576). (1) This study was conducted in collaboration with Amanda Gouws (Stellenbosch University, South Africa), Charles Villa-Vicencio (Institute for Justice and Reconciliation, Cape Town, South Africa), and Helen Macdonald (Institute for Justice and Reconciliation, Cape Town, South Africa).(2) Two weight variables are included in the dataset. One weight variable (NATWT) should be used when analysis is not conducted by race, and the other (RACEWT) should be used when conducting analyses comparing respondent race. (3) Users must cite the original NSF grant number in all materials produced from this project.

South Africa Population: Mid Year: White data was reported at 4,520,073.000 Person in 2018. This records an increase from the previous number of 4,493,522.596 Person for 2017. South Africa Population: Mid Year: White data is updated yearly, averaging 4,641,391.076 Person from Jun 2001 (Median) to 2018, with 18 observations. The data reached an all-time high of 4,750,181.000 Person in 2001 and a record low of 4,493,522.596 Person in 2017. South Africa Population: Mid Year: White data remains active status in CEIC and is reported by Statistics South Africa. The data is categorized under Global Database’s South Africa – Table ZA.G003: Population: Mid Year: by Group, Age and Sex.

South Africa Population: Mid Year: White: 35 to 39 Years data was reported at 294,846.000 Person in 2018. This records a decrease from the previous number of 299,214.728 Person for 2017. South Africa Population: Mid Year: White: 35 to 39 Years data is updated yearly, averaging 348,326.593 Person from Jun 2001 (Median) to 2018, with 18 observations. The data reached an all-time high of 364,257.930 Person in 2008 and a record low of 294,846.000 Person in 2018. South Africa Population: Mid Year: White: 35 to 39 Years data remains active status in CEIC and is reported by Statistics South Africa. The data is categorized under Global Database’s South Africa – Table ZA.G003: Population: Mid Year: by Group, Age and Sex.

South Africa Population: Mid Year: White: 50 to 54 Years data was reported at 315,881.000 Person in 2018. This records an increase from the previous number of 312,696.200 Person for 2017. South Africa Population: Mid Year: White: 50 to 54 Years data is updated yearly, averaging 315,744.136 Person from Jun 2001 (Median) to 2018, with 18 observations. The data reached an all-time high of 342,894.000 Person in 2001 and a record low of 312,483.685 Person in 2016. South Africa Population: Mid Year: White: 50 to 54 Years data remains active status in CEIC and is reported by Statistics South Africa. The data is categorized under Global Database’s South Africa – Table ZA.G003: Population: Mid Year: by Group, Age and Sex.

South Africa Population: Mid Year: White: Above 80 Years data was reported at 200,209.000 Person in 2018. This records an increase from the previous number of 156,274.516 Person for 2017. South Africa Population: Mid Year: White: Above 80 Years data is updated yearly, averaging 128,562.961 Person from Jun 2001 (Median) to 2018, with 18 observations. The data reached an all-time high of 200,209.000 Person in 2018 and a record low of 90,173.000 Person in 2001. South Africa Population: Mid Year: White: Above 80 Years data remains active status in CEIC and is reported by Statistics South Africa. The data is categorized under Global Database’s South Africa – Table ZA.G003: Population: Mid Year: by Group, Age and Sex.

South Africa Population: Mid Year: White: Female: 0 to 4 Years data was reported at 111,757.000 Person in 2018. This records a decrease from the previous number of 115,269.326 Person for 2017. South Africa Population: Mid Year: White: Female: 0 to 4 Years data is updated yearly, averaging 126,548.037 Person from Jun 2001 (Median) to 2018, with 18 observations. The data reached an all-time high of 148,888.000 Person in 2001 and a record low of 111,757.000 Person in 2018. South Africa Population: Mid Year: White: Female: 0 to 4 Years data remains active status in CEIC and is reported by Statistics South Africa. The data is categorized under Global Database’s South Africa – Table ZA.G003: Population: Mid Year: by Group, Age and Sex.

South Africa Population: Mid Year: White: Male: 5 to 9 Years data was reported at 127,490.000 Person in 2018. This records a decrease from the previous number of 130,514.481 Person for 2017. South Africa Population: Mid Year: White: Male: 5 to 9 Years data is updated yearly, averaging 133,176.759 Person from Jun 2001 (Median) to 2018, with 18 observations. The data reached an all-time high of 164,992.000 Person in 2001 and a record low of 125,995.587 Person in 2010. South Africa Population: Mid Year: White: Male: 5 to 9 Years data remains active status in CEIC and is reported by Statistics South Africa. The data is categorized under Global Database’s South Africa – Table ZA.G003: Population: Mid Year: by Group, Age and Sex.

South Africa Population: Mid Year: White: Male: 60 to 64 Years data was reported at 138,340.000 Person in 2018. This records an increase from the previous number of 134,849.595 Person for 2017. South Africa Population: Mid Year: White: Male: 60 to 64 Years data is updated yearly, averaging 131,671.338 Person from Jun 2001 (Median) to 2018, with 18 observations. The data reached an all-time high of 138,340.000 Person in 2018 and a record low of 112,762.389 Person in 2002. South Africa Population: Mid Year: White: Male: 60 to 64 Years data remains active status in CEIC and is reported by Statistics South Africa. The data is categorized under Global Database’s South Africa – Table ZA.G003: Population: Mid Year: by Group, Age and Sex.