According to a survey conducted in 2023, ** percent of employed adults who were Black believed that focusing on increasing diversity, equity, and inclusion at work was a good thing in the United States, while ** percent of employed adults who were White shared this belief.

This map shows a comparison of diversity and median household income in the US by tract. Esri's Diversity Index measures the likelihood that two persons, chosen at random from the same area, belong to different races or ethnic groups. In theory, the index ranges from 0 (no diversity) to 100 (complete diversity). If an area's entire population is divided evenly into two race groups and one ethnic group, then the diversity index equals 50. As more race groups are evenly represented in the population, the diversity index increases. Minorities accounted for 30.9 percent of the population in 2000 and are expected to make up 42.3 percent of the population by 2023. Vintage of data: 2023Areas in a darker orange are less diverse than light blue areas with higher diversity. Median household income is symbolized by size. The national median household income is $58,100 and any household below the national value has the smallest symbol size. The largest size has a median household income over $100,000 per year. Esri Updated Demographics represent the suite of annually updated U.S. demographic data that provides current-year and five-year forecasts for more than two thousand demographic and socioeconomic characteristics, a subset of which is included in this layer. Included are a host of tables covering key characteristics of the population, households, housing, age, race, income, and much more. Esri's Updated Demographics data consists of point estimates, representing July 1 of the current and forecast years.Esri Updated Demographics DocumentationMethodologyUnderstanding Esri’s Updated Demographics portfolioEssential Esri Demographics vocabularyThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. This layer requires an ArcGIS Online subscription and does not consume credits. Please cite Esri when using this data.

This web map summarizes racial and ethnic diversity in the United States. The Diversity Index shows the likelihood that two persons chosen at random from the same area, belong to different race or ethnic groups. The index ranges from 0 (no diversity) to 100 (complete diversity). The diversity score for the entire United States in 2010 is 60. This data variable is included in Esri’s Updated Demographics (2010/2015). Diversity in the U.S. population is increasing. The states with the most diverse populations are California, Hawaii, and New Mexico. This map shows Esri's 2010 estimates using Census 2000 geographies. The geography depicts States at greater than 25m scale, Counties at 1m to 25m scale, Census Tracts at 250k to 1m scale, and Census Block Groups at less than 250k scale.Esri's Updated Demographics (2010/2015) – Population, age, income, sex, and race are among the variables included in the database. Each year, Esri's data development team employs its proven methodologies to update more than 2,000 demographic variables for a variety of geographies. See Updated Demographics for more information. Information about the USA Diversity Index map service used in this map is here.

The percent chance that two people picked at random within an area will be of a different race/ethnicity. This number does not reflect which race/ethnicity is predominant within an area. The higher the value, the more racially and ethnically diverse an area. Source: U.S. Bureau of the Census, American Community Survey Years Available: 2010, 2011-2015, 2012-2016, 2013-2017, 2014-2018, 2015-2019, 2017-2021, 2018-2022, 2019-2023

Americans have different views on how well the news media reflects the diversity of the population, a recent study found. Overall Americans were dissatisfied with the representation, with 39 percent of those surveyed responding that the performance is poor. However, Black respondents were the most positive when compared to other ethnic groups, with 31 percent stating that the media performs very well when reflecting public diversity. Adults of Hispanic ethnicity were found to be the most critical, with 40 percent unsatisfied with the portrayal of diversity in the media.

Users can obtain descriptions, maps, profiles, and ranks of U.S. metropolitan areas pertaining to quality of life, diversity, and opportunities for racial and ethnic groups in the U.S. BackgroundThe Diversity Data project operates a website for users to explore how U.S. metropolitan areas perform on evidence-based social measures affecting quality of life, diversity and opportunity for racial and ethnic groups in the United States. These indicators capture a broad definition of quality of life and health, including opportunities for good schools, housing, jobs, wages, health and social services, and safe neighborhoods. This is a useful resource for people inter ested in advocating for policy and social change regarding neighborhood integration, residential mobility, anti-discrimination in housing, urban renewal, school quality and economic opportunities. The Diversity Data project is an ongoing project of the Harvard School of Public Health (Department of Society, Human Development and Health). User FunctionalityUsers can obtain a description, profile and rank of U.S. metropolitan areas and compare ranks across metropolitan areas. Users can also generate maps which demonstrate the distribution of these measures across the United States. Demographic information is available by race/ethnicity. Data NotesData are derived from multiple sources including: the U.S. Census Bureau; National Center for Health Statistics' Vital Statistics Natality Birth Data; Natio nal Center for Education Statistics; Union CPS Utilities Data CD; National Low Income Housing Coalition; Freddie Mac Conventional Mortgage Home Price Index; Neighborhood Change Database; Joint Center for Housing Studies of Harvard University; Federal Financial Institutions Examination Council Home Mortgage Disclosure Act (HMD); Dr. Russ Lopez, Boston University School of Public Health, Department of Environmental Health; HUD State of the Cities Data Systems; Agency for Healthcare Research and Quality; and Texas Transportation Institute. Years in which the data were collected are indicated with the measure. Information is available for metropolitan areas. The website does not indicate when the data are updated.

In a January 2019 survey, ** percent of participants who identified themselves as LGBTQ from the United States said that they believe diversity and inclusion is essential to creating a supportive workplace culture. This is compared to only ** percent of white male participants who felt the same way. All survey participants were full-time working professionals.

Bank of America's workforce has undergone a significant shift in racial diversity over the past six years. The share of white employees decreased from **** percent in 2019 to **** percent in 2024, marking a notable change in the company's demographic composition. Meanwhile, the representation of Hispanic, Asian, and Black racial groups grew steadily. The second-largest racial group in the observed period was Hispanic, whose share increased from **** to **** percent.

A feature class of U.S. Census Bureau 2020 Census Tracts. 2020 Census Tracts are a geographic area the U.S. Census Bureau collects and tabulates data for from the decennial census, American Community Survey, and other surveys.

Ethnic minorities were more likely to be in favor of racially diversifying adverts in the United States, a survey from June 2020 found. The African American demographic was most in favor of change, with 65 percent of respondents in saying they would like to see more racial diversity in ads. The same was true for 49 percent of Hispanics in the country.

The American Mosaic Project is a multiyear, multi-method study of the bases of solidarity and diversity in American life. The principal investigators of this project are Doug Hartmann, Penny Edgell and Joseph Gerteis at the "https://twin-cities.umn.edu/" Target="_blank">University of Minnesota. The survey portion of the project consists of a random-digit-dial telephone survey (N=2,081) conducted during the summer of 2003 by the "https://uwsc.wisc.edu/" Target="_blank">University of Wisconsin Survey Center. The survey was designed to gather data on attitudes about race, religion, politics and American identity as well as demographic information and social networks.

Context: Diversity of United States Counties

Content: Diversity Index of Every US County using the Simpson Diversity Index: D = 1 - ∑(n/N)^2 (where n = number of people of a given race and N is the total number of people of all races, to get the probability of randomly selecting two people and getting two people of different races (ecological entropy))

During an April 2023 survey in the United States, little more than ********** (** percent) of responding adults reported thinking that brands with a large target audience were either somewhat or very responsible for promoting diversity and inclusion. Around ** percent said such brands were not too responsible or not responsible at all for doing that, while the remaining ** percent of respondents did not know the answer or had no opinion on the matter.

This dataset is about books. It has 1 row and is filtered where the book is Cultural diversity and the American experience : political participation among Blacks, Appalachians, and Indians. It features 7 columns including author, publication date, language, and book publisher.

This national, tract-level experienced racial segregation dataset uses data for over 66 million anonymized and opted-in devices in Cuebiq’s Spectus Clean Room data to estimate 15 minute time overlaps of device stays in 38.2m x 19.1m grids across the United States in 2022. We infer a probability distribution of racial backgrounds for each device given their home Census block groups at the time of data collection, and calculate the probability of a diverse social contact during that space and time. These measures are then aggregated to the Census tract and across the whole time period in order to preserve privacy and develop a generalizable measure of the diversity of a place. We propose that this dataset is a better measurement of the segregation and diversity as it is experienced, which we show diverges from standard measurements of segregation. The data can be used by researchers to better understand the determinants of experienced segregation; beyond research, we suggest this data can be used by policy makers to understand the impacts of policies designed to encourage social mixing and access to opportunities such as affordable housing and mixed-income housing, and more.

For the purposes of enhanced privacy, home census block groups were pre-calculated by the data provider, and all calculations are done at the Census tract, with tracts that have more than 20 unique devices over the period of analysis.

According to recent research, racial and ethnic diversity reduces U.S. localities' investment in public goods. Yet we remain unsure about the mechanisms behind that relationship, and uncertain that the relationship is causal. This essay addresses these challenges by studying the impact of racial and ethnic demographics on property tax votes in Massachusetts and Texas. Employing novel time-series cross-sectional data, it departs from the emerging consensus by showing that diversity does not always influence local tax votes. Instead, diversity reduces localities' willingness to raise taxes only when localities are undergoing sudden demographic changes. Theoretically, this finding points us away from the dominant understanding of diversity as divergent preferences, and towards approaches that emphasize how sudden demographic changes can destabilize residents' expectations and influence local elites. To understand how diversity influences public good provision, we should look to those towns that are diversifying, not those towns that are diverse.

Diversity, Equity, Inclusion, and Accessibility (DEIA): In FY 2022, DHS approved the FY 2022-FY 2026 ICE DEIA Strategic Plan and Directorate Implementation Plans, which illustrates why creating a diverse and inclusive workforce is fundamental to ICE’s continuing ability to perform its critical mission efficiently and effectively. During this time, DEIA policies issued to the ICE workforce included the ICE Anti-Harassment Policy, the Diversity Policy, and the Civil Rights and Civil Liberties Policy. Additionally, ODCR, in collaboration with OHC, drafted new requirements for ICE to mandate diverse interview panels when filling supervisory positions via the competitive procedures in support of the DHS Secretary’s priority to advance DEIA.

Gives an estimate of Diversity in Crop Production on US Native Lands with a Simpson's Index of Diversity applied to the Cropland Data Layer (2012-2022) for tribal geographies.

Contains data files (.csv format) related to compensation, salaries, diversity, and student academic performance at American colleges and universities. Data is from 2008-2023, with data primarily from 2018-2021. Each file has a related data dictionary in a .txt file.

This dataset tracks annual diversity score from 1996 to 2023 for American Lakes vs. California and Natomas Unified School District