86 datasets found
  1. Total population of South Africa 2022, by ethnic groups

    • statista.com
    Updated Jun 3, 2025
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    Statista (2025). Total population of South Africa 2022, by ethnic groups [Dataset]. https://www.statista.com/statistics/1116076/total-population-of-south-africa-by-population-group/
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    Dataset updated
    Jun 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    South Africa
    Description

    As of 2022, South Africa's population increased and counted approximately 60.6 million inhabitants in total, of which the majority (roughly 49.1 million) were Black Africans. Individuals with an Indian or Asian background formed the smallest population group, counting approximately 1.56 million people overall. Looking at the population from a regional perspective, Gauteng (includes Johannesburg) is the smallest province of South Africa, though highly urbanized with a population of nearly 16 million people.

    Increase in number of households

    The total number of households increased annually between 2002 and 2022. Between this period, the number of households in South Africa grew by approximately 65 percent. Furthermore, households comprising two to three members were more common in urban areas (39.2 percent) than they were in rural areas (30.6 percent). Households with six or more people, on the other hand, amounted to 19.3 percent in rural areas, being roughly twice as common as those in urban areas.

    Main sources of income

    The majority of the households in South Africa had salaries or grants as a main source of income in 2019. Roughly 10.7 million drew their income from regular wages, whereas 7.9 million households received social grants paid by the government for citizens in need of state support.

  2. Population of South Africa 1800-2020

    • statista.com
    Updated Aug 8, 2024
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    Statista (2024). Population of South Africa 1800-2020 [Dataset]. https://www.statista.com/statistics/1067083/population-south-africa-historical/
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    Dataset updated
    Aug 8, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    South Africa
    Description

    In 1800, the population of modern day area of South Africa was approximately 1.44 million. Like most of the continent, the population of South Africa increased gradually through most of the 19th century, reaching 4.71 million by the start of the 20th century. Beginning in the 20th century however, the population would begin to rise exponentially as industrialization, advances in medicine and health, and the spread of vaccinations allowed for lower child mortality rates and increased life expectancy among adults. The population of South Africa would continue to rise exponentially for almost a century, going from just under 5 million at the start of the 1900s to almost 45 million by 2000. However, since the early 2000s, South Africa’s population growth has slowed, the result of a significant decrease in fertility rates in the country in recent years. In 2020, South Africa is estimated to have a population of 59.31 million.

  3. Population Census 1970 - South Africa

    • catalog.ihsn.org
    • dev.ihsn.org
    • +2more
    Updated Mar 29, 2019
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    Statistics South Africa (2019). Population Census 1970 - South Africa [Dataset]. https://catalog.ihsn.org/catalog/2867
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    Dataset updated
    Mar 29, 2019
    Dataset authored and provided by
    Statistics South Africahttp://www.statssa.gov.za/
    Time period covered
    1970
    Area covered
    South Africa
    Description

    Abstract

    The 1970 South African Population Census was an enumeration of the population and housing in South Africa.The census collected data on dwellings and individuals' demographic, migration, family and employment details.

    Geographic coverage

    National coverage of 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, and the so-called National States of Ciskei, KwaZulu, Gazankulu, Lebowa, Qwaqwa, Kangwane, Kwandebele, Transkei and Bophuthatswana.

    Analysis unit

    The units of analysis for the South African Census 1970 were households and individuals

    Universe

    The South African population census of 1970 covered all de jure household members (usual residents) of South Africa and the "national states".

    The 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 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]

    Sampling procedure

    The 1970 Census was a full count for Whites, Coloureds and Asians, and a 5% sample for Blacks (Africans)

    Sampling deviation

    The country was divided into 400 census districts for the 1970 Census. In most cases the boundaries of the census districts corresponded with those of the magisterial districts. However, in some cases the boundaries did not correspond, particularly in the areas in and around the "National States". This was to facilitate the administration of the census and to make it easier to exclude figures of the "National states" from provincial totals.

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    The 1970 Population Census of the Republic of South Africa questionnaires were: Form 01, to be completed by "Whites, Coloured and Asiatics" Form 02, to be completed by "Bantu" Form 03, for families, households and dwellings

    Form 01 collected data on relationship to household head, population group, sex, age, marital status, place of birth, and citizenship, as well as usual place of residence, home language, religion, level of education and income. Employment data collected included occupation, employment status and industry type.

    Form 02 collected data for African South Africans on relationship to household head, sex, age, marital status, fertility, place of birth, home language and literacy, religion and level of education. Employment data collected included occupation, employment status and industry type.

    Form 03 collected household data, including data on dwelling type, building material of dwelling walls, number of rooms and age of the dwelling. Data on home ownership. Data was also collected on the number and sex of household members and their relationship to the household head. Data on household heads included their population group, age and marital status. Income data was also collected, for husbands and wives. Data on home ownership, household size and domestic workers was also collected, but for Urban households only.

  4. t

    Race by Percentages in South Africa

    • theafricangourmet.com
    csv
    Updated Jan 17, 2017
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    Chic African Culture (2017). Race by Percentages in South Africa [Dataset]. https://www.theafricangourmet.com/2017/01/you-cant-hide-your-lying-eyes.html
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    csvAvailable download formats
    Dataset updated
    Jan 17, 2017
    Authors
    Chic African Culture
    Variables measured
    Race
    Description

    This dataset provides the racial demographics of South Africa based on percentages as reported in the 2018 South African Census.

  5. Population Census 1985 - South Africa

    • catalog.ihsn.org
    • dev.ihsn.org
    • +2more
    Updated Mar 29, 2019
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    Statistics South Africa (2019). Population Census 1985 - South Africa [Dataset]. https://catalog.ihsn.org/catalog/2865
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    Dataset updated
    Mar 29, 2019
    Dataset authored and provided by
    Statistics South Africahttp://www.statssa.gov.za/
    Time period covered
    1985
    Area covered
    South Africa
    Description

    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%

  6. F

    Population Estimate, Total, Not Hispanic or Latino, Black or African...

    • fred.stlouisfed.org
    json
    Updated Dec 12, 2024
    + more versions
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    (2024). Population Estimate, Total, Not Hispanic or Latino, Black or African American Alone (5-year estimate) in Greenville County, SC [Dataset]. https://fred.stlouisfed.org/series/B03002004E045045
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    jsonAvailable download formats
    Dataset updated
    Dec 12, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Greenville County, South Carolina, United States
    Description

    Graph and download economic data for Population Estimate, Total, Not Hispanic or Latino, Black or African American Alone (5-year estimate) in Greenville County, SC (B03002004E045045) from 2009 to 2023 about Greenville County, SC; Greenville; SC; African-American; non-hispanic; estimate; persons; 5-year; population; and USA.

  7. Distribution of Facebook users in South Africa 2021, by population group

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Distribution of Facebook users in South Africa 2021, by population group [Dataset]. https://www.statista.com/statistics/1342621/distribution-of-facebook-users-in-south-africa-by-population-group/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    South Africa
    Description

    In 2021, a survey was conducted in South Africa about the distribution Facebook users among different population groups. It found that Facebook users in the country were predominantly Black South Africans. The rate of users by this group was approximately ** percent. Furthermore, population group refers to the ethnicity of different groups which make up a country's population. In 2022, Black South Africans were the largest population group in the country, followed by the colored and white populations.

  8. Internet users using a smartphone in South Africa 2021, by population group

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Internet users using a smartphone in South Africa 2021, by population group [Dataset]. https://www.statista.com/statistics/1341192/internet-users-with-smartphone-in-south-africa-by-population-group/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    South Africa
    Description

    In 2021, Black South Africans were the largest group in the country accessing the internet via a smartphone. Some ** percent of Black South Africans used a smartphone to go online, while the white population followed with nearly ** percent. Indian/Asian individuals, on the other hand, were the population group with the smallest share of internet access via a smartphone. In 2022, Black South Africans were the largest population group in the country, followed by the colored and white populations.

  9. South African Census 1985 - South Africa

    • datafirst.uct.ac.za
    Updated Mar 29, 2020
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    Statistics South Africa (2020). South African Census 1985 - South Africa [Dataset]. https://www.datafirst.uct.ac.za/dataportal/index.php/catalog/146
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    Dataset updated
    Mar 29, 2020
    Dataset authored and provided by
    Statistics South Africahttp://www.statssa.gov.za/
    Time period covered
    1985
    Area covered
    South Africa
    Description

    Abstract

    The population census conducted in South Africa in 1985 covered the whole of South Africa, but excluded the "Homelands" of Transkei, Bophutatswana, Ciskei, and Venda. This dataset is the full census, as opposed to the 10% sample datasets provided by Statistics South Africa from 1996 onwards.

    Geographic coverage

    The 1985 census covered the so-called white areas of South Africa - the provinces of the Cape, the Orange Free State, Transvaal, and Natal - 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.

    The 1985 Census dataset has 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

    All persons who were present on Republic of South African territory during census night were enumerated. 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 enumerated but not included in the final data. 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

    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%

  10. Population Census 1980 - South Africa

    • microdata.worldbank.org
    • catalog.ihsn.org
    • +2more
    Updated May 1, 2014
    + more versions
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    Statistics South Africa (2014). Population Census 1980 - South Africa [Dataset]. https://microdata.worldbank.org/index.php/catalog/909
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    Dataset updated
    May 1, 2014
    Dataset authored and provided by
    Statistics South Africahttp://www.statssa.gov.za/
    Time period covered
    1980
    Area covered
    South Africa
    Description

    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)

  11. i

    Omnibus Survey 1994 - South Africa

    • datacatalog.ihsn.org
    • catalog.ihsn.org
    • +2more
    Updated Mar 29, 2019
    + more versions
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    Human Sciences Research Council (2019). Omnibus Survey 1994 - South Africa [Dataset]. https://datacatalog.ihsn.org/catalog/3310
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    Dataset updated
    Mar 29, 2019
    Dataset authored and provided by
    Human Sciences Research Council
    Time period covered
    1994
    Area covered
    South Africa
    Description

    Abstract

    An omnibus survey is done quarterly and its purpose is to give clients an opportunity to participate in a national survey at low cost. A number of clients’ questions are combined into one questionnaire. This questionnaire is usually administered to probability sample of 2220 respondents in the whole country (South Africa). The October 1994 omnibus survey was undertaken over the period 10 October to 28 October 1994. The fieldwork was done on a countrywide basis including all nine provinces.

    Geographic coverage

    The survey had national coverage, including coverage of the 'homelands" of Ciskei and Venda.

    Analysis unit

    Units of analysis in the survey included individuals

    Universe

    The universe included all household residents 18 years old or older.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    The South African population of persons 18 years and older was stratified according to: Province (Western Cape, Eastern Cape, Northern Cape, Orange Free State, Natal/KwaZulu, Eastern Transvaal, PWV, North Western Province, Northern Transvaal) Socio-economic classification: Rural areas in former self-governing and TBVC states Squatter areas in former non-white urban (metro and non- metro areas) Hostels and hotels Former urban areas for coloureds Former urban areas for a Asians Former urban areas for blacks Former urban (non- metro) areas for whites Former urban (metro) areas for whites Rural areas, excluding the former self-governing and TBVC states

    The sample allocation to these strata was done roughly proportional to the adjusted 1991 populatio n census figures with a few exceptions, among which was to ensure a minimal provincial total of 120. Multistage stratified cluster (probability) sampling was used to draw the respondents with the adjusted 1991 population census figures as measure of size. Census enumerator areas and similar areas were used as the clusters in the pen-ultimate sampling stage, from which an equal number, viz. one or two by four households were drawn. All clusters were drawn with probability proportional to size, whilst households were drawn from the final clusters with equal probability (systematically). Respondents were drawn at random from qualifying household members. In addition, population of live-in domestic workers was sampled in relation to their residence in already drawn households.

    Mode of data collection

    Face-to-face [f2f]

  12. T

    South Africa - Rural Population

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Sep 10, 2013
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    TRADING ECONOMICS (2013). South Africa - Rural Population [Dataset]. https://tradingeconomics.com/south-africa/rural-population-percent-of-total-population-wb-data.html
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    xml, json, excel, csvAvailable download formats
    Dataset updated
    Sep 10, 2013
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    South Africa
    Description

    Rural population (% of total population) in South Africa was reported at 31.18 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. South Africa - Rural population - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

  13. F

    Employment-Population Ratio - 16-19 Yrs., Black or African American

    • fred.stlouisfed.org
    json
    Updated Jul 3, 2025
    + more versions
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    (2025). Employment-Population Ratio - 16-19 Yrs., Black or African American [Dataset]. https://fred.stlouisfed.org/series/LNS12300018
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 3, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Employment-Population Ratio - 16-19 Yrs., Black or African American (LNS12300018) from Jan 1972 to Jun 2025 about 16 to 19 years, employment-population ratio, African-American, household survey, employment, population, and USA.

  14. f

    Table_3_Do black women’s lives matter? A study of the hidden impact of the...

    • frontiersin.figshare.com
    xls
    Updated May 30, 2024
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    Abha Jaiswal; Lorena Núñez Carrasco; Jairo Arrow (2024). Table_3_Do black women’s lives matter? A study of the hidden impact of the barriers to access maternal healthcare for migrant women in South Africa.XLS [Dataset]. http://doi.org/10.3389/fsoc.2024.983148.s003
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    xlsAvailable download formats
    Dataset updated
    May 30, 2024
    Dataset provided by
    Frontiers
    Authors
    Abha Jaiswal; Lorena Núñez Carrasco; Jairo Arrow
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    South Africa
    Description

    BackgroundStudies on the barriers migrant women face when trying to access healthcare services in South Africa have emphasized economic factors, fear of deportation, lack of documentation, language barriers, xenophobia, and discrimination in society and in healthcare institutions as factors explaining migrants’ reluctance to seek healthcare. Our study aims to visualize some of the outcome effects of these barriers by analyzing data on maternal death and comparing the local population and black African migrant women from the South African Development Countries (SADC) living in South Africa. The heightened maternal mortality of black migrant women in South Africa can be associated with the hidden costs of barriers migrants face, including xenophobic attitudes experienced at public healthcare institutions.MethodsOur analysis is based on data on reported causes of death (COD) from the South African Department of Home Affairs (DHA). Statistics South Africa (Stats SA) processed the data further and coded the cause of death (COD) according to the WHO classification of disease, ICD10. The dataset is available on the StatsSA website (http://nesstar.statssa.gov.za:8282/webview/) for research and statistical purposes. The entire dataset consists of over 10 million records and about 50 variables of registered deaths that occurred in the country between 1997 and 2018. For our analysis, we have used data from 2002 to 2015, the years for which information on citizenship is reliably included on the death certificate. Corresponding benchmark data, in which nationality is recorded, exists only for a 10% sample from the population and housing census of 2011. Mid-year population estimates (MYPE) also exist but are not disaggregated by nationality. For this reason, certain estimates of death proportions by nationality will be relative and will not correspond to crude death rates.ResultsThe total number of female deaths recorded from the years 2002 to 2015 in the country was 3740.761. Of these, 99.09% (n = 3,707,003) were deaths of South Africans and 0.91% (n = 33,758) were deaths of SADC women citizens. For maternal mortality, we considered the total number of deaths recorded for women between the ages of 15 and 49 years of age and were 1,530,495 deaths. Of these, deaths due to pregnancy-related causes contributed to approximately 1% of deaths. South African women contributed to 17,228 maternal deaths and SADC women to 467 maternal deaths during the period under study. The odds ratio for this comparison was 2.02. In other words, our findings show the odds of a black migrant woman from a SADC country dying of a maternal death were more than twice that of a South African woman. This result is statistically significant as this odds ratio, 2.02, falls within the 95% confidence interval (1.82–2.22).ConclusionThe study is the first to examine and compare maternal death among two groups of women, women from SADC countries and South Africa, based on Stats SA data available for the years 2002–2015. This analysis allows for a better understanding of the differential impact that social determinants of health have on mortality among black migrant women in South Africa and considers access to healthcare as a determinant of health. As we examined maternal death, we inferred that the heightened mortality among black migrant women in South Africa was associated with various determinants of health, such as xenophobic attitudes of healthcare workers toward foreigners during the study period. The negative attitudes of healthcare workers toward migrants have been reported in the literature and the media. Yet, until now, its long-term impact on the health of the foreign population has not been gaged. While a direct association between the heightened death of migrant populations and xenophobia cannot be established in this study, we hope to offer evidence that supports the need to focus on the heightened vulnerability of black migrant women in South Africa. As we argued here, the heightened maternal mortality among migrant women can be considered hidden barriers in which health inequality and the pervasive effects of xenophobia perpetuate the health disparity of SADC migrants in South Africa.

  15. F

    Population Estimate, Total, Hispanic or Latino, Black or African American...

    • fred.stlouisfed.org
    json
    Updated Dec 12, 2024
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    (2024). Population Estimate, Total, Hispanic or Latino, Black or African American Alone (5-year estimate) in Fairfield County, SC [Dataset]. https://fred.stlouisfed.org/series/B03002014E045039
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    jsonAvailable download formats
    Dataset updated
    Dec 12, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Fairfield County, South Carolina, United States
    Description

    Graph and download economic data for Population Estimate, Total, Hispanic or Latino, Black or African American Alone (5-year estimate) in Fairfield County, SC (B03002014E045039) from 2009 to 2023 about Fairfield County, SC; Columbia; SC; African-American; latino; hispanic; estimate; persons; 5-year; population; and USA.

  16. F

    Population Estimate, Total, Hispanic or Latino, Black or African American...

    • fred.stlouisfed.org
    json
    Updated Dec 12, 2024
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    (2024). Population Estimate, Total, Hispanic or Latino, Black or African American Alone (5-year estimate) in Cass County, MI [Dataset]. https://fred.stlouisfed.org/series/B03002014E026027
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    jsonAvailable download formats
    Dataset updated
    Dec 12, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Cass County, Michigan, United States
    Description

    Graph and download economic data for Population Estimate, Total, Hispanic or Latino, Black or African American Alone (5-year estimate) in Cass County, MI (B03002014E026027) from 2009 to 2023 about Cass County, MI; South Bend; African-American; MI; latino; hispanic; estimate; persons; 5-year; population; and USA.

  17. F

    Population Estimate, Total, Not Hispanic or Latino, Black or African...

    • fred.stlouisfed.org
    json
    Updated Dec 12, 2024
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    (2024). Population Estimate, Total, Not Hispanic or Latino, Black or African American Alone (5-year estimate) in Marlboro County, SC [Dataset]. https://fred.stlouisfed.org/series/B03002004E045069
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    jsonAvailable download formats
    Dataset updated
    Dec 12, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Marlboro County, South Carolina, United States
    Description

    Graph and download economic data for Population Estimate, Total, Not Hispanic or Latino, Black or African American Alone (5-year estimate) in Marlboro County, SC (B03002004E045069) from 2009 to 2023 about Marlboro County, SC; SC; African-American; non-hispanic; estimate; persons; 5-year; population; and USA.

  18. Labor force participation rate in South Africa 2021-2023, by population...

    • statista.com
    Updated Jun 3, 2025
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    Statista (2025). Labor force participation rate in South Africa 2021-2023, by population group [Dataset]. https://www.statista.com/statistics/1129145/labor-force-participation-rate-by-population-group-in-south-africa/
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    Dataset updated
    Jun 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    South Africa
    Description

    In the fourth quarter of 2023, the labor force participation rate among Black South Africans reached over 59 percent, marking a year-on-year change of two percent compared to the fourth quarter of 2022. However, the participation rate of the labor force among Indian/Asian South Africans dropped from about 61 percent in the previous year to 58 percent.

  19. Population of working age in South Africa 2019-2020, by population group

    • statista.com
    Updated Jun 3, 2025
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    Statista (2025). Population of working age in South Africa 2019-2020, by population group [Dataset]. https://www.statista.com/statistics/1129144/population-of-working-age-by-population-group-in-south-africa/
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    Dataset updated
    Jun 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    South Africa
    Description

    In the first quarter of 2020, the number of Black South Africans of working age reached approximately 31.4 million, marking a year-on-year change of 1.9 percent compared to the first quarter of 2019. The number of coloreds of working age reached roughly 3.5 million in the first quarter of 2020.

  20. W

    Black and African American Population Concentration - Southern CA

    • wifire-data.sdsc.edu
    geotiff, wcs, wms
    Updated Mar 25, 2025
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    California Wildfire & Forest Resilience Task Force (2025). Black and African American Population Concentration - Southern CA [Dataset]. https://wifire-data.sdsc.edu/dataset/clm-black-and-african-american-population-concentration-southern-ca
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    wms, wcs, geotiffAvailable download formats
    Dataset updated
    Mar 25, 2025
    Dataset provided by
    California Wildfire & Forest Resilience Task Force
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Africa, Southern California, California
    Description

    Relative concentration of the Southern California region's Black/African American population. The variable BLACKALN records all individuals who select black or African American as their SOLE racial identity in response to the Census questionnaire, regardless of their response to the Hispanic ethnicity question. Both Hispanic and non-Hispanic in the Census questionnaire are potentially associated with black race alone.

    "Relative concentration" is a measure that compares the proportion of population within each Census block group data unit that identify as Black/African American alone to the proportion of all people that live within the 13,312 block groups in the Southern California RRK region that identify as Black/African American alone. Example: if 5.2% of people in a block group identify as BLACKALN, the block group has twice the proportion of BLACKALN individuals compared to the Southern California RRK region (2.6%), and more than three times the proportion compared to the entire state of California (1.6%). If the local proportion is twice the regional proportion, then BLACKALN individuals are highly concentrated locally.

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Statista (2025). Total population of South Africa 2022, by ethnic groups [Dataset]. https://www.statista.com/statistics/1116076/total-population-of-south-africa-by-population-group/
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Total population of South Africa 2022, by ethnic groups

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29 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jun 3, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2022
Area covered
South Africa
Description

As of 2022, South Africa's population increased and counted approximately 60.6 million inhabitants in total, of which the majority (roughly 49.1 million) were Black Africans. Individuals with an Indian or Asian background formed the smallest population group, counting approximately 1.56 million people overall. Looking at the population from a regional perspective, Gauteng (includes Johannesburg) is the smallest province of South Africa, though highly urbanized with a population of nearly 16 million people.

Increase in number of households

The total number of households increased annually between 2002 and 2022. Between this period, the number of households in South Africa grew by approximately 65 percent. Furthermore, households comprising two to three members were more common in urban areas (39.2 percent) than they were in rural areas (30.6 percent). Households with six or more people, on the other hand, amounted to 19.3 percent in rural areas, being roughly twice as common as those in urban areas.

Main sources of income

The majority of the households in South Africa had salaries or grants as a main source of income in 2019. Roughly 10.7 million drew their income from regular wages, whereas 7.9 million households received social grants paid by the government for citizens in need of state support.

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