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.

About this dataset

Context

The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in South Gorin. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2011 and 2021, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..

Key observations

• White: In South Gorin, the median household income for the households where the householder is White decreased by $3,706(9.07%), between 2011 and 2021. The median household income, in 2022 inflation-adjusted dollars, was $40,862 in 2011 and $37,156 in 2021.
• Black or African American: As per the U.S. Census Bureau population data, in South Gorin, there are no households where the householder is Black or African American; hence, the median household income for the Black or African American population is not applicable.
• Refer to the research insights for more key observations on American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, Some other race and Two or more races (multiracial) households

https://i.neilsberg.com/ch/south-gorin-mo-median-household-income-by-race-trends.jpeg" alt="South Gorin, MO median household income trends across races (2011-2021, in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in South Gorin.
• 2010: 2010 median household income
• 2011: 2011 median household income
• 2012: 2012 median household income
• 2013: 2013 median household income
• 2014: 2014 median household income
• 2015: 2015 median household income
• 2016: 2016 median household income
• 2017: 2017 median household income
• 2018: 2018 median household income
• 2019: 2019 median household income
• 2020: 2020 median household income
• 2021: 2021 median household income
• 2022: 2022 median household income
• Please note: 2020 1-Year ACS estimates data was not reported by Census Bureau due to impact on survey collection and analysis during COVID-19, thus for large cities (population 65,000 and above) median household income data is not available.
• Please note: All incomes have been adjusted for inflation and are presented in 2022-inflation-adjusted dollars.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for South Gorin median household income by race. You can refer the same here

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%

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%

This dataset is about books. It has 4 rows and is filtered where the book subjects is White people-South Africa-Fiction. It features 9 columns including author, publication date, language, and book publisher.

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 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 so-called National States of Ciskei, KwaZulu, Gazankulu, Lebowa, Qwaqwa, Kangwane, and Kwandebele. The 1980 South African census excluded the "independent states" of Bophuthatswana, Transkei, and Venda. A census data file for Bophuthatswana was released with the final South African Census 1980 dataset.

Analysis unit

Households and individuals

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

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 employed as domestics (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)

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.

This dataset is about books, has 1 rows. and is filtered where the book is A slightly sarcastic look at the new South Africa by a slightly bitter Bantu. Book 1, Rainbow nations, white people's hair and other things that make me bitter. It features 7 columns including book, author, publication date, language, and book publisher. The preview is ordered by publication date (descending).

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.

South Africa Population: Mid Year: White: 25 to 29 Years data was reported at 269,100.000 Person in 2018. This records a decrease from the previous number of 282,242.639 Person for 2017. South Africa Population: Mid Year: White: 25 to 29 Years data is updated yearly, averaging 327,856.417 Person from Jun 2001 (Median) to 2018, with 18 observations. The data reached an all-time high of 367,394.306 Person in 2002 and a record low of 269,100.000 Person in 2018. South Africa Population: Mid Year: White: 25 to 29 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: 40 to 44 Years data was reported at 312,909.000 Person in 2018. This records a decrease from the previous number of 328,421.704 Person for 2017. South Africa Population: Mid Year: White: 40 to 44 Years data is updated yearly, averaging 340,705.303 Person from Jun 2001 (Median) to 2018, with 18 observations. The data reached an all-time high of 356,735.000 Person in 2001 and a record low of 312,909.000 Person in 2018. South Africa Population: Mid Year: White: 40 to 44 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.

Context

Cardio-vascular diseases are among the most frequent causes of death. Clinically there are widely accepted indicators for potential risk of contracting a cardio-vascular sickness. Hence, the knowledge of the determinant risk factors that lead cardio-vascular sickness can aid decision- making for pretreatment and changing lifestyles to avoid or reduce future complications.

The dataset

The dataset SAHeart.csv is about coronary heart disease (CHD) obtained from the Coronary Risk Factor Study conducted in South Africa by Rousseauw et al. in 1983. The goal is to use a set of indicators to identify if a patient has a risk of contracting coronary diseases or not.

• Objective: explore risk factors associated with myocardial infarction (MI), commonly known as a heart attack.
• Population: The study focused on white males aged 15 to 64.
• Binary Response: Each observation indicates whether the individual had a myocardial infarction at the time of the survey. It’s a binary response: presence (MI occurred) or absence (no MI).
• Predictors: The dataset contains several numeric and factor-level predictors.
• Sample Size: There are 462 observations in total, with 160 individuals experiencing an MI and 302 without an MI.

Format

A data frame with 462 observations on the following 10 variables.

Cover Image Source: https://www.allaboutvision.com/conditions/related/heart-disease-and-eye-health/

Youth Unemployment Rate in South Africa increased to 62.40 percent in the first quarter of 2025 from 59.60 percent in the fourth quarter of 2024. This dataset provides - South Africa Youth Unemployment Rate- actual values, historical data, forecast, chart, statistics, economic calendar and news.

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.(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 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.

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: 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.

This dataset covers ballots 286-88, and 290-92, spanning January, March, May, July, September and November 1961. The dataset contains the data resulting from these polls in ASCII. The ballots are as follows: 286 - January This Gallup poll seeks the opinions on Canadians on several leading topics of the day. Some of the major subjects of discussion include labour unions, problems facing the country, political issues, and opinions toward trade and investment with other countries, specifically the United States. The respondents were also asked questions so that they could be grouped according to geographic, demographic, and social variables. Topics of interest include: American investment in Canada; brand name recognition; Communist China in the United Nations; criticisms of labour unions; defence policy; federal elections; high income taxes; high prices; preferred political parties; priorities of labour unions; problems facing Canada; railway workers strike; trade with the United States; union membership; and voting behaviour. Basic demographics variables are also included. 287 - March This Gallup poll aims to collect the opinions of Canadians on various subjects of political importance to the country. Some issues raised include the introduction of provincial sales tax, education, foreign policy, and preferred political parties and leaders. The respondents were also asked questions so that they could be grouped according to geographic, demographic and social variables. Topics of interest include: the potential adoption of the 4 day work week; the biggest pet peeves of respondents; the C.C.F. party; communist China trading with Canada; the Conservative party; contentment with appliances and furniture; Diefenbaker's performance as Prime Minister; federal elections; the fluoridation of water; how to spend extra money; immigration; increasing the intensity of education in Canada; the Liberal party; local business conditions; preferred political party; provincial sales tax; South Africa's racial policies; union membership; and voting behaviour. Basic demographics variables are also included. 288 - May This Gallup poll aims primarily to collect the political views of Canadians. The questions focus either directly on political leaders and parties, or on issues of political importance to the country. The questions deal with political issues both in Canada, and in other countries, including the United States, and Britain. The respondents were also asked questions so that they could be grouped according to geographic, demographic and social variables. Topics of interest include: the Conservative party; electoral campaign funding and spending; Britain's interest in joining the European Common Market; Diefenbaker's performance as Prime Minister; federal elections; Lester Pearson's performance as leader of the opposition; the Liberal party; preferred political parties; restrictions on non-white immigrants; opinions on the Senate, and what their main job is; South Africa leaving the common wealth, and their racial policies; potential successors to the current political leaders; unemployment predictions; union membership; and voting behaviour. Basic demographics variables are also included. 290 - July This Gallup poll aims primarily to collect the political views of Canadians. The questions focus either directly on political leaders and parties, or on issues of political importance to the country. The questions deal with political issues both in Canada, and in other countries, including the United States, and Britain. The respondents were also asked questions so that they could be grouped according to geographic, demographic and social variables. Topics of interest include: the Conservative party; electoral campaign funding and spending; Britain's interest in joining the European Common Market; Diefenbaker's performance as Prime Minister; federal elections; Lester Pearson's performance as leader of the opposition; the Liberal party; preferred political parties; restrictions on non-white immigrants; opinions on the Senate, and what their main job is; South Africa leaving the common wealth, and their racial policies; potential successors to the current political leaders; unemployment predictions; union membership; and voting behaviour. Basic demographics variables are also included. 291 - September This Gallup poll aims to collect the opinions of Canadians, mostly on issues of global or international importance. Issues such as nuclear war, the spread of communism, and international politics are raised. Also asked were questions of local (Canadian) significance, including awareness and opinions of the New Democratic Party. The respondents were also asked questions so that they could be grouped according to geographic, demographic and social variables. Topics of interest include: American influence over the Canadian lifestyle; the conflict over Berlin; a career as a police officer for respondents' sons; Canada's dependence on American defence; federal elections; respondents' opinions on what "free enterprise" means; whether all labour unions should back up a single political party; who is ahead in terms of missile technology; nuclear weapons for Canadian Armed Forces; Russia; respondents' opinions on what "socialism" means; likelihood of survival during a nuclear war; union membership; the United Nations; and voting behaviour. Basic demographics variables are also included. 292 - November This Gallup poll seeks the opinions of Canadians on mostly current events and social issues. For instance, there is a section measuring the presence of appliances, questions on money and general standards of living, and issues such as alcoholism. There are also some more politically based questions, on subjects such as Unemployment Insurance and nuclear war. The respondents were also asked questions so that they could be grouped according to geographic, demographic and social variables. Topics of interest include: alcoholism; appliances owned or expecting to own soon; car ownership; civil defence during a nuclear war; foreign aid; housing satisfaction; nuclear war; peace with Russia; price expectations; risk of another world war; standards of living; unemployment levels; Unemployment Insurance; union membership; vacations recently taken or planned; voting behaviour; and writing letters to Members of Parliament. Basic demographics variables are also included.The codebook for this dataset is available through the UBC Library catalogue, with call number HN110.Z9 P84.

South Africa Population: Mid Year: White: Female: 5 to 9 Years data was reported at 123,302.000 Person in 2018. This records a decrease from the previous number of 125,605.180 Person for 2017. South Africa Population: Mid Year: White: Female: 5 to 9 Years data is updated yearly, averaging 128,285.618 Person from Jun 2001 (Median) to 2018, with 18 observations. The data reached an all-time high of 158,315.000 Person in 2001 and a record low of 121,608.629 Person in 2010. South Africa Population: Mid Year: White: Female: 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: 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: 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.