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.

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.

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))

According to the 2021 Census, London was the most ethnically diverse region in England and Wales – 63.2% of residents identified with an ethnic minority group.

In the map, each dot represents 100 people in four race categories: white (non-Hispanic), black (non-Hispanic), Hispanic/Latino, and Asian/Pacific Islander. Thus, the map also depicts population densities throughout the region. While the rural/ suburban areas in the region have largely white populations, many urban/densely populated areas in the region are racially diverse, with two or more ethnicities living in relatively non-segregated neighborhoods.

We investigate the empirical relationship between ethnicity and culture, defined as a vector of traits reflecting norms, values, and attitudes. Using survey data for 76 countries, we find that ethnic identity is a significant predictor of cultural values, yet that within-group variation in culture trumps between-group variation. Thus, in contrast to a commonly held view, ethnic and cultural diversity are unrelated. Although only a small portion of a country's overall cultural heterogeneity occurs between groups, we find that various political economy outcomes (such as civil conflict and public goods provision) worsen when there is greater overlap between ethnicity and culture.

This map shows the diversity index of the population in the USA in 2010 by block group. "The diversity index summarizes racial and ethnic diversity. The index shows the likelihood that two people, 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). For example, a diversity index of 59 means there is a 59 percent probability that two people randomly chosen would belong to different race or ethnic groups." -Esri DemographicsIt calls to the 2010 Census service with attributes related to race and ethnicity. The field PctNonWhite calculates the total percentage of non-white population by subtracting the Total white population from the reported population total. This yields the total non-white population (Field "TotNonWhite"). This number was then divided by the total reported population and multipled by 100 to yield a percetage of the population that is non-white (Field "PctNonWhite"). Original data sourced from: https://tpc.maps.arcgis.com/home/item.html?id=04a8fbbf59aa48ebbc646ba2bc8d9b1c

In 2023, about 44 percent of Citigroup's U.S.-based employees identified as white, making them the largest demographic group at the American banking giant. Hispanic or Latino employees accounted for around 19 percent, while employees of Asian origin represented just over 20 percent. Approximately 11.5 percent of the workforce identified as Black or African American. Between 2019 and 2023, the share of white employees gradually declined, while the representation of non-white employees steadily increased.

About this dataset

Context

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

Key observations

Of the Non-Hispanic population in Wisconsin, the largest racial group is White alone with a population of 4.66 million (85.83% 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 Wisconsin
• Population: The population of the racial category (for Non-Hispanic) in the Wisconsin is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Wisconsin 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 Wisconsin Population by Race & Ethnicity. You can refer the same here

Race/ethnicity demographics in New Orleans, Metro New Orleans, and the United States, 2016

About this dataset

Context

The dataset presents the median household income across different racial categories in Savannah. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

Key observations

Based on our analysis of the distribution of Savannah population by race & ethnicity, the population is predominantly Black or African American. This particular racial category constitutes the majority, accounting for 52.35% of the total residents in Savannah. Notably, the median household income for Black or African American households is $43,499. Interestingly, despite the Black or African American population being the most populous, it is worth noting that White households actually reports the highest median household income, with a median income of $71,602. This reveals that, while Black or African Americans may be the most numerous in Savannah, White households experience greater economic prosperity in terms of median household income.

https://i.neilsberg.com/ch/savannah-ga-median-household-income-by-race.jpeg" alt="Savannah median household income diversity across racial categories">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2022 1-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 Savannah.
• Median household income: Median household income, adjusting for inflation, 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 Savannah median household income by race. You can refer the same here

This survey was conducted among residents of the South (another sample of Non Southern states is also included) on many topics including race relations, opportunities for minorities, local communities, racial diversity, and inter-racial marriages and adoption. Demographic data include education, religious affiliation, marital status, employment status, income, race, household composition, party affiliation, political ideology,

These are the data used for the Racial and Ethnic Diversity for the Austin MSA story map. The story map was published July 2024 but displays data from 2000, 2010, and 2020.

Decennial census data were used for all three years. 2000: DEC Summary File 1, P004 2010: DEC Redistricting Data (PL 94-171), P2 2020: DEC Redistricting Data (PL 94-171), P2

Geographic crosswalks were used to harmonize 2000, 2010, and 2020 geographies.

Racial and Ethnic Diversity Index for the Austin MSA Storymap: https://storymaps.arcgis.com/stories/88ee265f00934af7a750b57f7faebd2c

City of Austin Open Data Terms of Use – https://data.austintexas.gov/stories/s/ranj-cccq

In 2023, ** percent of the managing director class at Goldman Sachs were Asian, two percent were Black, and another four percent were Hispanic or Latino. In the United States, ***** percent of the executive and senior-level officials and managers were Asian, **** percent were Hispanic or Latino, and approximately *** percent were Black.

About this dataset

Context

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

Key observations

The percent distribution of Utah population by race (across all racial categories recognized by the U.S. Census Bureau): 80.70% are white, 1.13% are Black or African American, 1.02% are American Indian and Alaska Native, 2.37% are Asian, 0.95% are Native Hawaiian and other Pacific Islander, 5.58% are some other race and 8.26% 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 Utah
• Population: The population of the racial category (excluding ethnicity) in the Utah is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Utah 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 Utah Population by Race & Ethnicity. You can refer the same here

Comparing the percentage of city residents (community) ethnicity to the percentage of city employee ethnicity. Employee information comes from Employee Demographics: Ethnicity https://citydata.mesaaz.gov/Human-Resources/Employee-Demographics-Ethnicity/6kd3-uaks. Community information comes from Community Demographics: Ethnicity at https://citydata.mesaaz.gov/Census/Community-Demographics-Ethnicity/g34w-9rxw

This dataset contains Pierce County's workforce diversity details by ethnicity, gender, and department.

Replication files for Racial Diversity and the Dynamics of Authoritarianism

Research on the effects of racial context on public opinion often use residence-based measures of context, ignoring how the demographic composition of a context may change throughout the day. In this short article, we introduce a new zip code-level measure, racial flux, that accounts for how contexts differ between worker and resident populations. We merge our measure with survey data from the Cooperative Congressional Election Study, and show that greater racial flux --- more Black workers relative to Black residents in a zip code --- is associated with more conservative voting behaviors and racial attitudes among whites who live in the zip code. Our study suggests that whites are as politically responsive to the presence of non-resident minorities as they are resident minorities. More work is needed on measuring racial context, and on exploring the contours of how and why context affects political preferences.

Except for JPMorgan Chase, Citigroup, Capital One and Bank of America, the share of minority employees in the total U.S.-based workforce of the leading U.S. banks was less than ** percent. Among the observed banks, JPMorgan Chase had the most diverse workforce, with ** percent of the employees who self-identified were racial minorities. JPMorgan Chase was followed by Citigroup, where the share of people of color was approximately ** percent. Capital One ranked third in terms of racial diversity. Here, the share of non-white employees in the U.S.-based workforce was **** percent. The share was the lowest at PNC Financial Services, where approximately ** percent of the workforce were non-white.