This dataset is about books. It has 3 rows and is filtered where the book subjects is Black people-South Africa-Social life and customs. It features 9 columns including author, publication date, language, and book publisher.

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

This dataset is about books. It has 26 rows and is filtered where the book subjects is Black people-South Africa-Politics and government. It features 9 columns including author, publication date, language, and book publisher.

Context

Percentage of resident persons who declared themselves black in relation to the total resident population, at the reference date of the Demographic Census. Source: IBGE, Demographic Census 2010 and Municipal fabric 2010. http://www.geoservicos.ibge.gov.br/geoserver/wms?service=WFS&version=1.0.0&request=GetFeature&typeName=CGEO:vw_per_black_people& om the dataset summary Population Census and Mesh ... License not specified spatial: "type": "Polygon", "coordinates": [[- [- 74.0046, -33.7411], [- 34.7929, -33.7411], [- 34.7929,5.2727], [- 74.0046,5.2727], [- 74.0046, -33.7411 ]]] http://dados.gov.br/dataset/cgeo_vw_per_pessoas_pretas

Content

Author and Maintainer: Geosciences Directorate - IBGE and Research Directorate - IBGE Last update: June 12, 2018 package id: 4565a7e3-9509-43dc-b074-433451ef7a47 Organ - Sphere: Federal. Organ - Power: Executive.

Acknowledgements

Geosciences Directorate - IBGE and Research Directorate - IBGE http://dados.gov.br

Photo by Anomaly on Unsplash

Inspiration

Nelson Mandela: was a South African anti-apartheid revolutionary, political leader, and philanthropist who served as President of South Africa from 1994 to 1999. He was the country's first black head of state and the first elected in a in a fully representative democratic election. His government focused on dismantling the legacy of apartheid by tackling institutionalized racism and fostering racial reconciliation. https://en.wikipedia.org/wiki/Nelson_Mandela

Martin Luther King Jr. (January 15, 1929 – April 4, 1968) was an American Christian minister and activist who became the most visible spokesperson and leader in the Civil Rights Movement from 1955 until his assassination in 1968. Born in Atlanta Georgia, King is best known for advancing civil rights through nonviolence and civil disobedience, inspired by his Christian beliefs and the nonviolent activism of Mahatma Gandhi. https://en.wikipedia.org/wiki/Martin_Luther_King_Jr.

This dataset is about books. It has 7 rows and is filtered where the book subjects is Black people-South Africa-Economic conditions. It features 9 columns including author, publication date, language, and book publisher.

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.

Youth Unemployment Rate in South Africa decreased to 62.20 percent in the second quarter of 2025 from 62.40 percent in the first quarter of 2025. This dataset provides - South Africa Youth Unemployment Rate- actual values, historical data, forecast, chart, statistics, economic calendar and news.

South Africa is experiencing a rapidly growing diabetes epidemic that threatens its healthcare system. Research on the determinants of diabetes in South Africa receives considerable attention due to the lifestyle changes accompanying South Africa’s rapid urbanization since the fall of Apartheid. However, few studies have investigated how segments of the Black South African population, who continue to endure Apartheid’s institutional discriminatory legacy, experience this transition. This paper explores the association between individual and area-level socioeconomic status and diabetes prevalence, awareness, treatment, and control within a sample of Black South Africans aged 45 years or older in three municipalities in KwaZulu-Natal. Cross-sectional data were collected on 3,685 participants from February 2017 to February 2018. Individual-level socioeconomic status was assessed with employment status and educational attainment. Area-level deprivation was measured using the most recent South African Multidimensional Poverty Index scores. Covariates included age, sex, BMI, and hypertension diagnosis. The prevalence of diabetes was 23% (n = 830). Of those, 769 were aware of their diagnosis, 629 were receiving treatment, and 404 had their diabetes controlled. Compared to those with no formal education, Black South Africans with some high school education had increased diabetes prevalence, and those who had completed high school had lower prevalence of treatment receipt. Employment status was negatively associated with diabetes prevalence. Black South Africans living in more deprived wards had lower diabetes prevalence, and those residing in wards that became more deprived from 2001 to 2011 had a higher prevalence diabetes, as well as diabetic control. Results from this study can assist policymakers and practitioners in identifying modifiable risk factors for diabetes among Black South Africans to intervene on. Potential community-based interventions include those focused on patient empowerment and linkages to care. Such interventions should act in concert with policy changes, such as expanding the existing sugar-sweetened beverage tax.

Use this application to view the pattern of concentrations of people by race and Hispanic or Latino ethnicity. Data are provided at the U.S. Census block group level, one of the smallest Census geographies, to provide a detailed picture of these patterns. The data is sourced from the U.S Census Bureau, 2020 Census Redistricting Data (Public Law 94-171) Summary File. Definitions: Definitions of the Census Bureau’s categories are provided below. This interactive map shows patterns for all categories except American Indian or Alaska Native and Native Hawaiian or Other Pacific Islander. The total population countywide for these two categories is small (1,582 and 263 respectively). The Census Bureau uses the following race categories:Population by RaceWhite – A person having origins in any of the original peoples of Europe, the Middle East, or North Africa.Black or African American – A person having origins in any of the Black racial groups of Africa.American Indian or Alaska Native – A person having origins in any of the original peoples of North and South America (including Central America) and who maintains tribal affiliation or community attachment.Asian – A person having origins in any of the original peoples of the Far East, Southeast Asia, or the Indian subcontinent including, for example, Cambodia, China, India, Japan, Korea, Malaysia, Pakistan, the Philippine Islands, Thailand, and Vietnam.Native Hawaiian or Other Pacific Islander – A person having origins in any of the original peoples of Hawaii, Guam, Samoa, or other Pacific Islands.Some Other Race - this category is chosen by people who do not identify with any of the categories listed above. People can identify with more than one race. These people are included in the Two or More Races Hispanic or Latino PopulationThe Hispanic/Latino population is an ethnic group. Hispanic/Latino people may be of any race.Other layers provided in this tool included the Loudoun County Census block groups, towns and Dulles airport, and the Loudoun County 2021 aerial imagery.

This study examined the associations between different types of violence victimization and psychological functioning in South African adolescents. Both differential and cumulative effects of violence were investigated. A multi-ethnic (Black, White, people of mixed heritage, and people of Indian/Asian descent) sample of adolescents in secondary schools in the Western Cape Province (N = 1,574; boys = 46.5%, girls = 53.5%; Mage = 16 years) completed a survey on their experiences of exposure to violence (across different contexts and polyvictimization) and their levels of hopelessness, anxiety, depression, perceived stress, and suicidal ideation. The results showed that indirect and direct victimization in the community, and indirect political victimization were consistent predictors for adverse psychological functioning, whereas victimization in home and school contexts did not emerge to be significant. Polyvictimization had a consistent linear effect on psychological symptoms. Interventions in South Africa should focus on addressing the psychological effects of community and political victimization on adolescents. Adopting a holistic treatment approach would be useful to gain a comprehensive understanding of adolescents’ victimization experiences and maximize the impact of support to enhance their psychological functioning.

Demographics, referral characteristics, and ascribed aetiology of CKD in sample cohort (n = 960).

Effect of demographic parameters on ascribed aetiology of CKD.

This dataset was collected as part of the researcher's PhD study. The research, guided by the theory of planned behaviour (TPB) as a theoretical framework, explored the attitudes and perceptions of Black men living in Ga-Rankuwa towards their public primary health care (PHC) services. It aimed to understand and explain their experiences with their health care issues within their public PHC facilities, and determine whether the health care services offered by these facilities address their health care needs. The qualitative research approach that was explorative, descriptive and contextual was adopted in this study. Primary data was collected through semi-structured in-depth interviews and analysed using thematic analysis. Furthermore, the researcher collected semi-structured observational data to supplement the self-reported data that she collected from her participants via in-depth interviews. A standardised recording tool, the observational schedule, was used to document her anticipated observations before she entered her research settings. The observations were made in regards of the clinic environment, the gender dynamics within the clinic environment, the demographic composition of the medical staff and administrative staff, the number of male patients queing up for consultation, the length of the queues, the signboards and posters on the walls inside the facilities displaying the health care messages, and the level of privacy of the consulting rooms. The researcher was also reflexive in her approach, recognising herself as part of the data she was collecting. She ensured that her perceptions and preferences did not influence the quality of the collected data. To ensure that the findings of her study are valid and reliable, the researcher adopted the Lincoln and Guba's framework of trustworthiness. Because humans have been used as participants in this study and because of the complexity and in-depth nature of the study, the researcher ensured that the participants' rights were protected at all times. The researcher explained the nature and purpose of the study to the participants and reminded them about their right to refuse participation before she obtained their informed consent. To ensure that the participants were not subjected to any harm and that the information they provided was well protected, the researcher took steps to protect their privacy and identity. Ethical approval for the study was granted by the relevant authorities at UNISA and permission to conduct the research granted by the Gauteng Department of health The study found that the health-seeking behaviours (HSBs) of Black men in Ga-Rankuwa are influenced by a wide range of sociological factors, namely, socio-cultural, structural and individualistic factors. Understanding these behaviours requires a multifaceted approach, that involves collaboration with various stakeholders, and policy makers in society.