This survey of minority groups was part of a larger project to investigate the patterns, predictors, and consequences of midlife development in the areas of physical health, psychological well-being, and social responsibility. Conducted in Chicago and New York City, the survey was designed to assess the well-being of middle-aged, urban, ethnic minority adults living in both hyper-segregated neighborhoods and in areas with lower concentrations of minorities. Respondents' views were sought on issues relevant to quality of life, including health, childhood and family background, religion, race and ethnicity, personal beliefs, work experiences, marital and close relationships, financial situation, children, community involvement, and neighborhood characteristics. Questions on health explored the respondents' physical and emotional well-being, past and future attitudes toward health, physical limitations, energy level and appetite, amount of time spent worrying about health, and physical reactions to those worries. Questions about childhood and family background elicited information on family structure, the role of the parents with regard to child rearing, parental education, employment status, and supervisory responsibilities at work, the family financial situation including experiences with the welfare system, relationships with siblings, and whether as a child the respondent slept in the same bed as a parent or adult relative. Questions on religion covered religious preference, whether it is good to explore different religious teachings, and the role of religion in daily decision-making. Questions about race and ethnicity investigated respondents' backgrounds and experiences as minorities, including whether respondents preferred to be with people of the same racial group, how important they thought it was to marry within one's racial or ethnic group, citizenship, reasons for moving to the United States and the challenges faced since their arrival, their native language, how they would rate the work ethic of certain ethnic groups, their views on race relations, and their experiences with discrimination. Questions on personal beliefs probed for respondents' satisfaction with life and confidence in their opinions. Respondents were asked whether they had control over changing their life or their personality, and what age they viewed as the ideal age. They also rated people in their late 20s in the areas of physical health, contribution to the welfare and well-being of others, marriage and close relationships, relationships with their children, work situation, and financial situation. Questions on work experiences covered respondents' employment status, employment history, future employment goals, number of hours worked weekly, number of nights away from home due to work, exposure to the risk of accident or injury, relationships with coworkers and supervisors, work-related stress, and experience with discrimination in the workplace. A series of questions was posed on marriage and close relationships, including marital status, quality and length of relationships, whether the respondent had control over his or her relationships, and spouse/partner's education, physical and mental health, employment status, and work schedule. Questions on finance explored respondents' financial situation, financial planning, household income, retirement plans, insurance coverage, and whether the household had enough money. Questions on children included the number of children in the household, quality of respondents' relationships with their children, prospects for their children's future, child care coverage, and whether respondents had changed their work schedules to accommodate a child's illness. Additional topics focused on children's identification with their culture, their relationships with friends of different backgrounds, and their experiences with racism. Community involvement was another area of investigation, with items on respondents' role in child-rearing, participation on a jury, voting behavior, involvement in charitable organizations, volunteer experiences, whether they made monetary or clothing donations, and experiences living in an institutional setting or being homeless. Respondents were also queried about their neighborhoods, with items on neighborhood problems including racism, vandalism, crime, drugs, poor schools, teenag

The statistic shows the share of U.S. population, by race and Hispanic origin, in 2016 and a projection for 2060. As of 2016, about 17.79 percent of the U.S. population was of Hispanic origin. Race and ethnicity in the U.S. For decades, America was a melting pot of the racial and ethnical diversity of its population. The number of people of different ethnic groups in the United States has been growing steadily over the last decade, as has the population in total. For example, 35.81 million Black or African Americans were counted in the U.S. in 2000, while 43.5 million Black or African Americans were counted in 2017.

The median annual family income in the United States in 2017 earned by Black families was about 50,870 U.S. dollars, while the average family income earned by the Asian population was about 92,784 U.S. dollars. This is more than 15,000 U.S. dollars higher than the U.S. average family income, which was 75,938 U.S. dollars.

The unemployment rate varies by ethnicity as well. In 2018, about 6.5 percent of the Black or African American population in the United States were unemployed. In contrast to that, only three percent of the population with Asian origin was unemployed.

This graph shows the population of the U.S. by race and ethnic group from 2000 to 2023. In 2023, there were around 21.39 million people of Asian origin living in the United States. A ranking of the most spoken languages across the world can be accessed here. U.S. populationCurrently, the white population makes up the vast majority of the United States’ population, accounting for some 252.07 million people in 2023. This ethnicity group contributes to the highest share of the population in every region, but is especially noticeable in the Midwestern region. The Black or African American resident population totaled 45.76 million people in the same year. The overall population in the United States is expected to increase annually from 2022, with the 320.92 million people in 2015 expected to rise to 341.69 million people by 2027. Thus, population densities have also increased, totaling 36.3 inhabitants per square kilometer as of 2021. Despite being one of the most populous countries in the world, following China and India, the United States is not even among the top 150 most densely populated countries due to its large land mass. Monaco is the most densely populated country in the world and has a population density of 24,621.5 inhabitants per square kilometer as of 2021. As population numbers in the U.S. continues to grow, the Hispanic population has also seen a similar trend from 35.7 million inhabitants in the country in 2000 to some 62.65 million inhabitants in 2021. This growing population group is a significant source of population growth in the country due to both high immigration and birth rates. The United States is one of the most racially diverse countries in the world.

This is the replication file for 'Cause or Effect', containing code to replicate all figures and tables in the manuscript. The abstract for the article is: Legislative redistricting alters the political and electoral context for some voters but not others, thus offering a potentially promising research design to study many questions of interest in political science. We apply this design to study the effect that descriptive representation has on co-ethnic political engagement, focusing on Hispanic participation following California’s 2000 redistricting cycle. We show that when redistrictors draw legislative boundaries in California’s 1990, 2000 and 2010 apportionment cycles, they systematically sort higher participating Hispanic voters into majority-Hispanic (MH) jurisdictions represented by co-ethnic candidates, biasing subsequent comparisons of Hispanic participation across districts. Similar sorting occurs during redistricting in Florida and Texas, though here the pattern is reversed, with less participating Hispanic voters redistricted to MH districts. Our study highlights important heterogeneity in redistricting largely unknown or under-appreciated in previous research. Ignoring this selection problem could significantly bias estimates of the effect of Hispanic representation, either positively or negatively. After we correct for these biases using a hierarchical genetic matching algorithm, we find that, in California, being moved to a district with an Hispanic incumbent has little impact on Hispanic participation in our data.

The Evidence for Equality National Survey (EVENS) is a national survey that documents the experiences and attitudes of ethnic and religious minorities in Britain. EVENS was developed by the Centre on the Dynamics of Ethnicity (CoDE) in response to the disproportionate impacts of COVID-19 and is the largest and most comprehensive survey of the lives of ethnic and religious minorities in Britain for more than 25 years. EVENS used pioneering, robust survey methods to collect data in 2021 from 14,200 participants of whom 9,700 identify as from an ethnic or religious minority. The EVENS main dataset, which is available from the UK Data Service under SN 9116, covers a large number of topics including racism and discrimination, education, employment, housing and community, health, ethnic and religious identity, and social and political participation.

The EVENS Teaching Dataset provides a selection of variables in an accessible form to support the use of EVENS in teaching across a range of subjects and levels of study. The dataset includes demographic data and variables to support the analysis of:

• racism and belonging
• health and well-being during COVID-19
• political attitudes and trust.

Majority minority districts are widely viewed as opportunities for racial minority groups to expand their representation in elected office. Do these districts facilitate the same opportunities for descriptive representation for women and men? I argue that majority minority districts have served as important, but distinct opportunities for Latinas and Latinos to get on the ballot. Analyzing pooled data from 57,812 state legislative general elections from the mid 1990’s to 2015, and during the first rounds of elections following 2000 and 2010 Census-based redistricting, I find support for this view. Key factors often associated with majority minority districts’ capacity as vehicles for minority representation, such as increasingly large Latina/o proportions of district populations and incumbent networks, are more robustly related to the presence of Latinos than Latinas on the ballot. These findings bear directly on our understanding of how majority minority districts fit into a portfolio of institutions for expanding descriptive representation.

Link Function: information

To assess differences in psychological outcomes as well as risk and protective factors for these outcomes among several USA ethnic groups and identify correlates of these psychological outcomes among adults with diabetes in the second Diabetes Attitudes, Wishes and Needs (DAWN2) study. The core USA DAWN2 sample was supplemented by independent samples of specific ethnic minority groups, yielding a total of 447 White non-Hispanics, 241 African Americans, 194 Hispanics, and 173 Chinese Americans (n = 1055). Multivariate analysis examined ethnic differences in psychological outcomes and risk/protective factors (disease, demographic and socioeconomic factors, health status and healthcare access/utilization, subjective burden of diabetes and social support/burden). Separate analyses were performed on each group to determine whether risk/protective factors differed across ethnic groups. Psychological outcomes include well-being, quality of life, impact of diabetes on life domains, diabetes distress, and diabetes empowerment. NCT01507116. Ethnic minorities tended to have better psychological outcomes than White non-Hispanics, although their diabetes distress was higher. Levels of most risk and protective factors differed significantly across ethnic groups; adjustment for these factors reduced ethnic group differences in psychological outcomes. Health status and modifiable diabetes-specific risk/protective factors (healthcare access/utilization, subjective diabetes burden, social support/burden) had strong associations with psychological outcomes, especially diabetes distress and empowerment. Numerous interactions between ethnicity and other correlates of psychological outcomes suggest that ethnic groups are differentially sensitive to various risk/protective factors. Potential limitations are the sample sizes and representativeness. Ethnic groups differ in their psychological outcomes. The risk/protective factors for psychological outcomes differ across ethnic groups and different ethnic groups are more/less sensitive to their influence. These findings can aid the development of strategies to overcome the most prominent and influential psychosocial barriers to optimal diabetes care within each ethnic group.

The Prototypicality Hypothesis describes the frame in which members of (marginalized) groups are deemed prototypical or not of their group. The Intersectional Invisibility hypothesis proclaims, that people, that belong to more than one group often are overlooked and “invisible” in society. This study examines the value of adding both theories to the existing Minority Stress Model to look beyond what “typical” members of marginalized groups experience.

This graph shows the share of French people considering themselves as belonging to a minority group in 2018. The survey displays that ** percent of the respondents declared they did not feel as part of a minority group.

This is a Maryland Department of Transportation (MDOT) hosted service. Find more information at http://www.mdot.maryland.gov/newMDOT/MBE/Index.html. Last Updated: Daily ADDITIONAL TERMS OF USE: The MDOT directory of certified firms is intended to be used as a guide for identifying certified Minority (MBE)/Disadvantaged (DBE)/Small Business Enterprise (SBE) firms and Airport Concession Disadvantaged Business Enterprise (ACDBE) firms to utilize on State and/or USDOT assisted contracts. Information in the Directory should be verified with the MDOT Office of Minority Business Enterprise (OMBE). The MDOT maintains the Directory for the purpose of providing a reference source of the firms certified by the MDOT. However, eligibility for certification does not mean that the firm meets all of the requirements needed to do business in the State. Therefore, users of this website should independently verify a firm’s ability to do business in Maryland. The Directory lists certified firms in alphabetical order and also contains information on the specific products and/or services the firm is certified to provide. The MDOT makes no claims, promises, or guarantees regarding a certified firm’s competence or capability to perform or enter into a contract. It is the responsibility of the user of the information provided in the Directory to make his/her own determination regarding the capability, competence, and/or limitations of a certified firm, as well as the firm’s ability to do business in the State. The MDOT makes no claims, promises, or guarantees about the accuracy, completeness, or adequacy of the contents of this web site and expressly disclaims liability for errors and omissions in the contents of this web site. No warranty of any kind is given with respect to the contents of this web site or any links to other web sites it may contain. Reference in this web site to any specific commercial product, process, or service, or the use of any trade or business name is for the information of the public and does not constitute an endorsement or recommendation by the MDOT. Information presented on this web site is considered public information and may be copied and/or distributed. If there is a question concerning the validity of the information provided in this directory, contact the MDOT Office of Minority Business Enterprise. You may contact the office at (410) 865-1269 or (800) 544-6055.

Data on the proportion of ethnic minorities aged 15 and over who can read and write sorted by ethnicity. The data table includes 2 columns "Ethnic" and "Ratio" which in turn express the ethnic name and the proportion of ethnic minorities aged 15 and over who can read and write.

The layer shows Residents of Minority Communities in the past(Hispanic and Black) according to Dallas Public works map in 1940.This data layer provides a historical representation of minority communities, specifically Hispanic and Black residents, within the City of Dallas as documented in the Dallas Public Works map from 1940. The layer visually highlights the geographic distribution of these communities during that time, offering insights into patterns of settlement, neighborhood boundaries, and demographic concentrations. Such a layer can be instrumental for researchers, urban planners, and historians in understanding the historical context of racial and ethnic communities, as well as the social and economic factors that influenced their locations. It also serves as a valuable tool for analyzing changes in urban development and demographic shifts over time.

This map contains the 2020 Vulnerable Population Index along with the component demographic layers. The following seven populations were determined to be vulnerable based on an understanding of both federal requirements and regional demographics: 1) Low-Income Population (below 200% of poverty level) 2) Non-Hispanic Minority Population 3) Hispanic or Latino Population (all races) 4) Population with Limited English Proficiency (LEP) 5) Population with Disabilities 6) Elderly Population (age 75 and up) 7) Households with No CarFor each of these populations, Census tracts with concentrations above the regional mean concentration are divided into two categories above the regional mean. These categories are calculated by dividing the range of values between the regional mean and the regional maximum into two equal-sized intervals. Tracts in the lower interval are given a score of 1 and tracts in the upper interval are given a score of 2 for that demographic variable. The scores are totaled from the seven individual demographic variables to yield the Vulnerable Population Index (VPI). The VPI can range from zero to fourteen (0 to 14). A lower VPI indicates a less vulnerable area, while a higher VPI indicates a more vulnerable area.FIELDSP_PovL100: Percent Below 100% of the Poverty Level, P_PovL200: Percent Below 200% of the Poverty Level, P_Minrty: Percent Minority (non-White, non-Hispanic), P_Hisp: Percent Hispanic, P_LEP: Percent Limited English Proficiency (speak English "not well" or "not at all"), P_Disabld: Percent with Disabilities, P_Elderly: Percent Elderly (age 75 and over), P_NoCarHH: Percent Households with No Vehicle, RG_PovL100: Regional Average (Mean) of Percent Below 100% of the Poverty Level, RG_PovL200: Regional Average (Mean) of Percent Below 200% of the Poverty Level, RG_Minrty: Regional Average (Mean) of Percent Minority (non-White, non-Hispanic), RG_Hisp: Regional Average (Mean) of Percent Hispanic, RG_LEP: Regional Average (Mean) of Percent Limited English Proficiency (speak English "not well" or "not at all"), RG_Disabld: Regional Average (Mean) of Percent with Disabilities, RG_Elderly: Regional Average (Mean) of Percent Elderly (age 75 and over), RG_NoCarHH: Regional Average (Mean) of Percent Households with No Vehicle, [NO SC_PovL100: Note: Percent Below 100% of the Poverty Level not used in VPI 2020 calculation],SC_PovL200: VPI Score for Below 200% of the Poverty Level (Values: 0, 1, or 2),SC_Minrty: VPI Score for Minority (non-White, non-Hispanic) (Values: 0, 1, or 2),SC_Hisp: VPI Score for Hispanic (Values: 0, 1, or 2),SC_LEP: VPI Score for Limited English Proficiency (speak English "not well" or "not at all") (Values: 0, 1, or 2),SC_Disabld: VPI Score for Disabilities (Values: 0, 1, or 2),SC_Elderly: VPI Score for Elderly (age 75 and over) (Values: 0, 1, or 2),SC_NoCarHH: VPI Score for Households with No Vehicle (Values: 0, 1, or 2),VPI_2020: Total VPI Score (0 minimum to 14 maximum).Additional information on equity planning at BMC can be found here.Sources: Baltimore Metropolitan Council, U.S. Census Bureau 2016–2020 American Community Survey 5-Year Estimates. Margins of error are not shown.Updated: April 2022

This study examines the paradoxical effects of a perceived inclusive environment for ethnic minorities. We argue that while perceptions of an inclusive environment may be associated with more positive intergroup attitudes and affect among minority groups, they may instill a sense of threat among the majority group, resulting in negative intergroup sentiments and attitudes towards minorities. We analyzed data from two waves of a nationally representative survey conducted in the Netherlands (ntotal = 11,897) comprising minority and majority groups. We find support for the proposed paradoxical relationship between the perceived inclusionary climate towards minorities and the attitudes of the majority and minority groups. The results indicate that when perceiving the national climate to be more inclusive towards minorities, the majority group tends to report higher levels of ethnocentrism, avoid direct inter-ethnic contact, and oppose ethnic diversity in general. Among minority groups, a perceived inclusive climate is linked to lower levels of ethnocentrism and a higher willingness to engage in inter-ethnic interactions with the majority group. The results unexpectedly also show that the perception of an inclusionary climate is positively related to opposition to increased ethnic diversity among minority groups. We discuss theoretical and societal implications, while also considering the contextual relevance and limitations of our approach.

This is a restricted dataset based on a survey experiment conducted among local party chairs in Flanders (Belgium) in 2019 (N=597). The objective of the experiment was to test whether party chairs hold stereotypes about ethnic minority aspirants, i.e. whether they evaluate ethnic minority aspirants differently than similar ethnic majority aspirants.

During the experiment, each participant was presented one ethnic minority (Moroccan name) and one ethnic majority (Flemish name) aspirant in a randomized order. Two different policy profiles were randomly distributed between the two aspirants and both aspirants were each randomly assigned a low or a high SES (having either a university or lower secondary school degree). After being presented an aspirant, the participants were asked to evaluate him (we only used male first names) in terms of ideological position, competence and trustworthiness.

This dataset includes for each participant information about the exact profile of the aspirants who were evaluated (their ethnicity, SES and policy profile), the evaluation scores granted to these aspirants and information about manipulation checks included in the survey experiment.

The two profiles which were presented during the survey experiment are the following:

Profile 1: The 46 year old [Victor Claes OR Mohammed El Amrani] has a wife and two children. He has a [university degree OR lower secondary degree]. [Victor OR Mohammed] is a member of several local associations and has been a member of your party since two years. [Victor OR Mohammed] wants to increase the citizens’ well-being. When possible, extra cycle routes should be put in place, circulation plans should become more straightforward and traffic safety in school environments should be enhanced. The candidate wants to embellish the streets and is in favour of a more innovate approach against high vacancy rates in the housing market. [Victor OR Mohammed] advocates more efficient spatial planning. More space should be provided for new and growing enterprises whilst preserving sufficient green, open spaces. The supply of public transport should be enhanced throughout the whole municipality. [Victor OR Mohammed] wants to invest in both youngsters and the elderly. Blind spots in child care should be erased and nursing homes should remain affordable. Multi-purpose halls should be accessible to a wide and inclusive supply of activities to connect all citizens. Finally, [Victor OR Mohammed] wants to increase both the capacity of the local schools and the level of education they provide.

Profile 2: [Victor Claes OR Mohammed El Amrani] is 43 years old. He has a [university degree OR lower secondary degree]. He became a member of your party in 2016. He and his wife have one daughter. [Victor OR Mohammed] is a member of several local associations. [Victor OR Mohammed] strives towards a more liveable municipality. Investments in the public domain should provide sufficient facilities for young and old. Think about new play grounds, sport fields and pétanque courts. Environments should be given more freedom to develop and innovate. Thereby, expanding firms who contribute to local employment as well as small local entrepreneurs should be given the necessary attention. [Victor OR Mohammed] advocates a cleaner and greener municipality and wants to set up an effective plan against litter. The candidate wants to implement new subsidies for the local leisure industry aimed at providing facilities for disabled people and lower tariffs for people with low incomes. Regarding mobility, [Victor OR Mohammed] wants more and better lighting on cycle routes. Shortcuts through residential areas should be made less accessible and more investments in central connecting roads are desirable. Finally, unemployed people should be actively encouraged to find a new job and guided towards employment.

This dataset represents a list of Minority and Women owned businesses as well as locations, services, and contact information.

There are 3 datasets within this publication showing key aspects of Ethnic Minority Populations in Lincolnshire: Ethnic Groups, Proficiency in English, and Religion. The datasets show 2011 Census estimates of the total resident population with breakouts for those population categories.

These three Census 2011 datasets are sourced from the Office for National Statistics (ONS) Nomis website - see the Source link below. Different geographies and more detailed breakouts of these and other useful datasets, are also available at the Source link.

This dataset is updated every 10 years with the next update due from the Census 2021.

New York City's "MWBE" program, enacted by the City Council and signed by the Mayor as Local Law 129 of 2005, is designed to promote government contracting opportunities for businesses owned by minorities and women. Our "Emerging Business Enterprise" program, enacted by the City Council and signed by the Mayor as Local Law 12 of 2006, is designed to promote such opportunities for businesses owned by persons who are "socially and economically disadvantaged." Together, the programs establish the following Citywide goals for contracts and subcontracts in amounts under $1 million.

The authors examine the latest quantitative evidence on disparities in living standards between and among different ethnic groups in Vietnam. Using data from the 1998 Vietnam Living Standards Survey and 1999 Census, they show that Kinh and Hoa ("majority") households have substantially higher living standards than "minority" households from Vietnam's other 52 ethnic groups. Subdividing the population into five broad categories, the authors find that while the Kinh, Hoa, Khmer, and Northern Highland minorities have benefited from economic growth in the 1990s, the growth of Central Highland minorities has stagnated. Disaggregating further, they find that the same ethnic groups whose living standards have risen fastest are those that have the highest school enrollment rates, are most likely to intermarry with Kinh partners, and are the least likely to practice a religion. While some ethnic minorities seem to be doing well with a strategy of assimilating (both culturally and economically) with the Kinh-Hoa majority, other groups are attempting to integrate economically while retaining distinct cultural identities. A third group comprising the Central Highland minorities, including the Hmong, is largely being left behind by the growth process. Such diversity in the socioeconomic development experiences of the different ethnic minorities indicates the need for similar diversity in the policy interventions that are designed to assist them