This statistic displays the share of people of African descent experiencing racial discrimination in access to housing in the last five years in selected Nordic countries from 2015 to 2016. According to the results of the survey, ** percent of people of African descent in Finland experienced racial discrimination in housing. The corresponding figure for people of African descent in Denmark was **** percent.

This statistic displays the share of people of African descent making a report or complaint of their last experienced racial discrimination in selected Nordic countries from 2015 to 2016. According to the results of the survey, ** percent of people of African descent in Finland reported to authorities their last discrimination experience. The corresponding figure for people of African descent in Denmark was ** percent.

This dataset offers documentary evidence of racism for 15 countries (top performing democracies in the 2022-23 period). This is done to demonstrate the prevalence of racism as a chronic problem for, and with recent presentations in, the world’s high performing democracies. Accounts of racism are divided into the following categories of document types: (1) Academic research, (2) Government body reports, (3) Non-government body reports, (4) journalistic reports, and (5) non-academic polling/opinion surveys, to ensure a diversity of evidentiary claims per county.

Up to 10 accounts have been provided for each category, as this was the upward limit of our Research Assistance funding. In no case is this an exhaustive listing even though, for some categories (such as government reports from Costa Rica) we did not reach 10 accounts. Further research with new funding is required to build on this work.

The data is provided alphabetically per country in tables.

Attribution: Jean-Paul Gagnon, Seema Shah, and Blake Kelly. 2025. "15 High-Performance Democracies with documented accounts of Racism per Country". V1. [DOI or hyperlink to Mendeley page]

Associated publication: Jean-Paul Gagnon, Seema Shah, Blake Kelly. 2025. "Racism Undermines High Performance Democracies". Chinese Political Science Review. Forthcoming. Abstract below.

Racism Undermines High-Performance Democracies

Abstract. Racism is a chronic problem for fifteen of the world’s top scoring democracies (Denmark serves as a case study). This evidence – which we draw from academic research, government and non-government body reports, journalistic reports, and polling data published between 2013 and 2023 – troubles doctrines of representative, liberal, electoral, and participatory theories of democracy. In this article, we apply an aspect of Graefrath and Jahn’s ontological coherence rule – this being a comparison of the ontic commitments required by each theory against ontic commitments of racism as defined by the Australian Human Rights Commission – to conceptually demonstrate this claim. This leads us to the conclusion that real-existing democracies experiencing racism are also likely experiencing a constraint on their democratic capacities. Racism, in short, undermines at least four types of democracy. We end our analysis with a suggestion to adapt International IDEA’s 2024 PODS methodology so that it may capture and contrast the opinions of racialized minorities, alongside the opinions of experts, the statistically average person, and other marginalized persons, as the next step in this line of research.

Keywords. Democracy, Racism, Liberalism, Elections, Representation, Participation.

While Canada is often perceived as a model when it comes to inclusion, a little more than ********* of Canadians surveyed in ******** felt that Canada was a racist country. This sentiment was most prevalent among younger populations: ** percent of ***** year olds and ** percent of ***** year olds felt their country was racist, compared to ** percent of people aged 55 to 64, and ** percent of those over **.

Knowing the racial and ethnic composition of a community is often one of the first steps in understanding, serving, and advocating for various groups. This information can help enforce laws, policies, and regulations against discrimination based on race and ethnicity. These statistics can also help tailor services to accommodate cultural differences.This multi-scale map shows the most common race/ethnicity living within an area. Map opens at tract-level in Los Angeles, CA but has national coverage. Zoom out to see counties and states.This map uses these hosted feature layers containing the most recent American Community Survey data. These layers are part of the ArcGIS Living Atlas, and are updated every year when the American Community Survey releases new estimates, so values in the map always reflect the newest data available. The data on race were derived from answers to the question on race that was asked of individuals in the United States. The Census Bureau collects racial data in accordance with guidelines provided by the U.S. Office of Management and Budget (OMB), and these data are based on self-identification. The racial categories included in the census questionnaire generally reflect a social definition of race recognized in this country and not an attempt to define race biologically, anthropologically, or genetically. The categories represent a social-political construct designed for collecting data on the race and ethnicity of broad population groups in this country, and are not anthropologically or scientifically based. Learn more here.

About this dataset

Context

The dataset tabulates the population of Country Club Heights by race. It includes the population of Country Club Heights across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Country Club Heights across relevant racial categories.

Key observations

The percent distribution of Country Club Heights population by race (across all racial categories recognized by the U.S. Census Bureau): 89.90% are white and 10.10% are multiracial.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 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: This column displays the racial categories (excluding ethnicity) for the Country Club Heights
• Population: The population of the racial category (excluding ethnicity) in the Country Club Heights is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Country Club Heights total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Country Club Heights Population by Race & Ethnicity. You can refer the same here

This statistic displays the share of people of African descent who have experienced racist violence within the last five years of the survey period in selected Nordic countries from 2015 to 2016. According to the results of the survey, ** percent of people of African descent in Finland had experienced racist violence. The corresponding figure for people of African descent in Sweden was ***** percent.

A special analysis of the Eurobarometer 2000 opinion poll on behalf of the European Monitoring Centre on Racism and Xenophobia. By SORA, Vienna, Austria, www.sora.at General recommendations and conclusions: These recommendations are based on findings hinted at in the data-analysis which do not permit the development of a complete set of policy recommendations. Policy recommendations should be based on a knowledge of causal relationships and the strength of effects which is beyond the scope of this project. Thus, the recommendations are linked and clearly connected to the evidence within the data. Political leadership: A quarter of all Europeans can be categorised as ‘ambivalent’ – meaning that they harbour positive and negative attitudes towards minorities at the same time. Data show that party affiliation is a part of the causal system producing attitudes towards minorities. Ambivalent people should be considered those who react most political leadership – awareness of this fact can help politicians to make their decisions. Unemployment: Experience with unemployment and the expectation of higher unemployment rates lead to an increase in hostile attitudes towards minorities. Sinking unemployment rates and information about a decrease in unemployment might reduce concerns about migration and minorities. Welfare: Since a large part of xenophobic concerns is about loss of welfare standards, policies which lend large majorities the feeling that they can participate in the increase of wealth within a growing economy will contribute significantly to reducing xenophobic concerns. Demographic developments and their impact have to be considered and researched. Particular attention should be paid to the number of retired people and the increasing number of old people with lower income and with low expectations within that group. An increase in hostility towards minorities might well get stronger in this group. Education: Higher education clearly correlates with positive attitudes towards minorities. More research should be carried out to determine the nature of this effect and establish whether the increase of higher education – which is a stable trend – will result in a more tolerant attitude within Europe in the coming decades. Personal relations: Supporting personal relationships between people of different religions, nations or with different skin colour increases tolerance. In the countries of Southern European, attitudes towards minorities seem to be influenced by other factors than in the rest of Europe. There is not enough evidence about causal relationships within this analysis to confirm that the conclusions mentioned above are meaningful for the southern part of Europe. #####The results by volumes are distributed as follows: * Volume A: Countries * Volume AA: Groups of countries * Volume A' (AP): Trends * Volume AA' (AAP): Trends of groups of countries * Volume B: EU/socio-demographics * Volume C: Country/socio-demographics ---- Researchers may also contact GESIS - Leibniz Institute for the Social Sciences: http://www.gesis.org/en/home/

The attached data set and do file is set up to replicate the paper below Abstract : I study the impact of racism on trust in Europe. To operationalize trust and racism, I use individual level responses from the European Social and World Value Surveys. The results of the multivariate analysis indicate, individuals who possess a self-reported racist attitude are less likely to be trusting. To address the issue of causality, I examine second generation immigrants. When analyzing immigrants and using the level of racism of their origin country as a proxy for individual racial attitudes, I find, racism continues to predict lower levels of trust. These results provide evidence racism has a negative, significant, and causal impact on generalized trust. Additionally, the paper supports the notion that racism could have negative economic consequences via the erosion of social capital.

This map shows the percentage of people who identify as something other than non-Hispanic white throughout the US according to the most current American Community Survey. The pattern is shown by states, counties, and Census tracts. Zoom or search for anywhere in the US to see a local pattern. Click on an area to learn more. Filter to your area and save a new version of the map to use for your own mapping purposes.The Arcade expression used was: 100 - B03002_calc_pctNHWhiteE, which is simply 100 minus the percent of population who identifies as non-Hispanic white. The data is from the U.S. Census Bureau's American Community Survey (ACS). The figures in this map update automatically annually when the newest estimates are released by ACS. For more detailed metadata, visit the ArcGIS Living Atlas Layer: ACS Race and Hispanic Origin Variables - Boundaries.The data on race were derived from answers to the question on race that was asked of individuals in the United States. The Census Bureau collects racial data in accordance with guidelines provided by the U.S. Office of Management and Budget (OMB), and these data are based on self-identification. The racial categories included in the census questionnaire generally reflect a social definition of race recognized in this country and not an attempt to define race biologically, anthropologically, or genetically. The categories represent a social-political construct designed for collecting data on the race and ethnicity of broad population groups in this country, and are not anthropologically or scientifically based. Learn more here.Other maps of interest:American Indian or Alaska Native Population in the US (Current ACS)Asian Population in the US (Current ACS)Black or African American Population in the US (Current ACS)Hawaiian or Other Pacific Islander Population in the US (Current ACS)Hispanic or Latino Population in the US (Current ACS) (some people prefer Latinx)Population who are Some Other Race in the US (Current ACS)Population who are Two or More Races in the US (Current ACS) (some people prefer mixed race or multiracial)White Population in the US (Current ACS)Race in the US by Dot DensityWhat is the most common race/ethnicity?

In Italy, far-right political groups have been perpetrators of many cases of racial discrimination. Between 2008 and 2019, extreme right groups were responsible for over *** such episodes. In addition, groups belonging to the right-wing, Lega, were accountable for almost *** cases of racial discrimination. Lega is one of the largest political parties in Italy. Over the years, members of this party have been making a significant number of statements based on xenophobia and incitement to hatred. The party secretary, Matteo Salvini, has been creating campaigns on anti-migration, cultivating feelings of hate in the country.

About this dataset

Context

The dataset tabulates the Non-Hispanic population of Hill Country Village by race. It includes the distribution of the Non-Hispanic population of Hill Country Village across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Hill Country Village across relevant racial categories.

Key observations

Of the Non-Hispanic population in Hill Country Village, the largest racial group is White alone with a population of 584 (76.74% of the total Non-Hispanic population).

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 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: This column displays the racial categories (for Non-Hispanic) for the Hill Country Village
• Population: The population of the racial category (for Non-Hispanic) in the Hill Country Village is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Hill Country Village total Non-Hispanic population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Hill Country Village Population by Race & Ethnicity. You can refer the same here

This round of Eurobarometer surveys queried respondents on standard Eurobarometer measures, such as how satisfied they were with their present life, whether they attempted to persuade others close to them to share their views on subjects they held strong opinions about, whether they discussed political matters, and how they viewed the need for societal change. Additional questions focused on the respondents' knowledge of and opinions on the European Union (EU), including how well-informed they felt about the EU, what sources of information about the EU they used, whether their country had benefited from being an EU member, and the extent of their personal interest in EU matters. Respondents were asked how their present situation compared with five years ago, whether they thought it would improve over the next five years, and if in the last five years they themselves, a family member, or a close friend had been unemployed or if the company they worked for had "made people redundant," i.e., laid people off. Respondents were also asked about how much news they currently watched on TV, read about in newspapers, or listened to on the radio, how fair they felt the media coverage of the EU was, whether their image of the EU was positive or negative, and which groups or types of people (e.g., children, the elderly, politicians, teachers, lawyers, factory workers, farmers, etc.) had more and which had less advantages from their country's EU membership. Other questions focused on how satisfied respondents were with the way democracy worked in their country and in the EU, how important various European institutions were in the life of the EU and whether they trusted them, the amount of pride they had in their nationality, and if they were for or against EU features such as a single currency, an independent European Central Bank, a common foreign policy, a common defense and security policy, and a European Union that is responsible beyond national, regional, and local governments. Opinions were sought on possible EU social and political actions, which nonmember countries should become members, the role of the European Parliament, and whether the EU should have a constitution. Other topics of focus in the surveys included racism, general services, food labeling, and information and communication technologies. Several questions about people of different nationalities, religions, or cultures queried respondents as to whether they found these people disturbing, whether they themselves felt they were part of the majority or minority in their country, and if they had a parent or grandparent of a different nationality, race, religion, or culture. Respondents were asked to agree or disagree with a number of statements about issues involving minority groups and education, housing, social benefits, international sport, cultural life, religious practices, employment, and the economy. Additionally, respondent opinion was sought on the size of minority populations in their country, how relations with minorities could be improved, whether restrictions should be placed on minority workers from outside the EU, and the proper place in society for these minorities. A few questions also queried respondents about cultural and religious differences that immigrants (i.e., people who were not citizens of a member state of the EU) brought to the EU and how the EU should handle various situations involving this group of people. Questions regarding services of general interest, specifically mobile and fixed telephone services, electric, gas, and water supply services, postal services, transport services within towns/cities, and rail services between towns/cities, probed for respondent opinion on ease of access, price and contract fairness, quality of service, and clearness of service-provided information. For each service, respondents were asked whether in the last 12 months they had personally made a complaint about the service to any complaint-handling body and how they felt the situation was handled. Another section of the surveys queried respondents on how often they read food labels, if they thought there was too much or too little information on food labels, if they trusted and understood food labels, whether potential harm or benefit information should appear on the labels, who should be responsible for the information, and if food labels affected t

Abstract The article intends to demonstrate an interdisciplinary methodology and a new type of participation, as well as a colective concept construction to evaluate racism and discrimination and its económic and social effects for discriminated population within the country. The racism diagnosis has the goal to create a public political system that will end the etnic and gender discrimination and that will lay the foundations for a plural state that will encourage al citizenship and will promote equal treatment and equal opportunity.

This statistic shows the results of a survey carried out in October 2017 to find out about the perceptions on racism in several Latin American countries. When asked whether they thought Latin American people were racist, approximately 56 percent of respondents answered negatively.

Diversity in Tech Statistics: In today's tech-driven world, discussions about diversity in the technology sector have gained significant traction. Recent statistics shed light on the disparities and opportunities within this industry. According to data from various sources, including reports from leading tech companies and diversity advocacy groups, the lack of diversity remains a prominent issue. For example, studies reveal that only 25% of computing jobs in the United States are held by women, while Black and Hispanic individuals make up just 9% of the tech workforce combined. Additionally, research indicates that LGBTQ+ individuals are underrepresented in tech, with only 2.3% of tech workers identifying as LGBTQ+. Despite these challenges, there are promising signs of progress. Companies are increasingly recognizing the importance of diversity and inclusion initiatives, with some allocating significant resources to address these issues. For instance, tech giants like Google and Microsoft have committed millions of USD to diversity programs aimed at recruiting and retaining underrepresented talent. As discussions surrounding diversity in tech continue to evolve, understanding the statistical landscape is crucial in fostering meaningful change and creating a more inclusive industry for all. Editor’s Choice In 2021, 7.9% of the US labor force was employed in technology. Women hold only 26.7% of tech employment, while men hold 73.3% of these positions. White Americans hold 62.5% of the positions in the US tech sector. Asian Americans account for 20% of jobs, Latinx Americans 8%, and Black Americans 7%. 83.3% of tech executives in the US are white. Black Americans comprised 14% of the population in 2019 but held only 7% of tech employment. For the same position, at the same business, and with the same experience, women in tech are typically paid 3% less than men. The high-tech sector employs more men (64% against 52%), Asian Americans (14% compared to 5.8%), and white people (68.5% versus 63.5%) compared to other industries. The tech industry is urged to prioritize inclusion when hiring, mentoring, and retaining employees to bridge the digital skills gap. Black professionals only account for 4% of all tech workers despite being 13% of the US workforce. Hispanic professionals hold just 8% of all STEM jobs despite being 17% of the national workforce. Only 22% of workers in tech are ethnic minorities. Gender diversity in tech is low, with just 26% of jobs in computer-related sectors occupied by women. Companies with diverse teams have higher profitability, with those in the top quartile for gender diversity being 25% more likely to have above-average profitability. Every month, the tech industry adds about 9,600 jobs to the U.S. economy. Between May 2009 and May 2015, over 800,000 net STEM jobs were added to the U.S. economy. STEM jobs are expected to grow by another 8.9% between 2015 and 2024. The percentage of black and Hispanic employees at major tech companies is very low, making up just one to three percent of the tech workforce. Tech hiring relies heavily on poaching and incentives, creating an unsustainable ecosystem ripe for disruption. Recruiters have a significant role in disrupting the hiring process to support diversity and inclusion. You May Also Like To Read Outsourcing Statistics Digital Transformation Statistics Internet of Things Statistics Computer Vision Statistics

Financial overview and grant giving statistics of The Race Brook Country Club Inc

About this dataset

Context

The dataset tabulates the population of Hill Country Village by race. It includes the population of Hill Country Village across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Hill Country Village across relevant racial categories.

Key observations

The percent distribution of Hill Country Village population by race (across all racial categories recognized by the U.S. Census Bureau): 72.82% are white, 15.14% are Black or African American, 1.22% are Asian, 1.10% are some other race and 9.72% are multiracial.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 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: This column displays the racial categories (excluding ethnicity) for the Hill Country Village
• Population: The population of the racial category (excluding ethnicity) in the Hill Country Village is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Hill Country Village total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Hill Country Village Population by Race & Ethnicity. You can refer the same here

This Opinion Poll was carried out between 26 March and 29 April 1997 in the fifteen Member States at the request of the Employment, Industrial Relations and Social Affairs Directorate (DGV) of the European Commission within the framework of Eurobarometer 47.1. It involved 16,154 people. It was commissioned as part of the European Year Against Racism and coordinated by INRA (Europe). The last poll of this kind was taken in 1988. The data were analysed under the responsibility of Jeanne Ben Brika and Gérard Lemaine (Ecole des Hautes Etudes en Sciences Sociales, Paris). #####The results by volumes are distributed as follows: * Volume A: Countries * Volume AA: Groups of countries * Volume A' (AP): Trends * Volume AA' (AAP): Trends of groups of countries * Volume B: EU/socio-demographics * Volume C: Country/socio-demographics ---- Researchers may also contact GESIS - Leibniz Institute for the Social Sciences: http://www.gesis.org/en/home/

The United States (US) has been among those nations most severely affected by the first—and subsequent—phases of the pandemic of COVID-19, the disease caused by SARS-CoV-2. With only 4% of the worldwide population, the US has seen about 22% of COVID-19 deaths. Despite formidable advantages in resources and expertise, presently the per capita mortality rate is over 585/million, respectively 2.4 and 5 times higher compared to Canada and Germany. As we enter Fall 2020, the US is enduring ongoing outbreaks across large regions of the country. Moreover, within the US, an early and persistent feature of the pandemic has been the disproportionate impact on populations already made vulnerable by racism and dangerous jobs, inadequate wages, and unaffordable housing, and this is true for both the headline public health threat and the additional disastrous economic impacts. In this article we assess the impact of missteps by the Federal Government in three specific areas: the introduction of the virus to the US and the establishment of community transmission; the lack of national COVID-19 workplace standards and enforcement, and lack of personal protective equipment (PPE) for workplaces as represented by complaints to the Occupational Safety and Health Administration (OSHA) which we find are correlated with deaths 16 days later (ρ = 0.83); and the total excess deaths in 2020 to date already total more than 230,000, while COVID-19 mortality rates exhibit severe—and rising—inequities in race/ethnicity, including among working age adults.