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.

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

According to a June 2020 survey results, 42 percent of responding Americans wanted to see more racial diversity in advertising. At the same time, 30 percent of survey participants said they did not care if there was racial diversity in ads.

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.

In 2024, more than ** percent of people employed in the motion picture and video industries in the United States identified as white. About one out of ten employees identified as Black or African American. That same year, almost ********** of employees in the U.S. film industry were male.

This dataset tracks annual diversity score from 2004 to 2023 for Middle School 137 America's Sch-heroes vs. New York and New York City Chancellor's Office School District

This dataset tracks annual diversity score from 2005 to 2009 for Academy For New Americans vs. California and Fresno Unified School District

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 is the replication package for the paper "Displacement, Diversity, and Mobility: Career Impacts of Japanese American Internment", by Jaime Arellano-Bover.

During a 2021 survey, nearly ** percent of responding internet users from Mexico stated that they felt represented in the majority of video ads they saw while streaming digital video content; the remaining ** percent said they did not feel represented. For Brazil, the shares were ** and ** percent, respectively.

Hair samples were collected in discrete areas during radio-collar studies in Vermont under the auspices of University of Vermont IACUC protocol #17-035 (n=106), New Hampshire (n=34), and Maine (n=57). Hair and tissue samples were opportunistically collected from animals that were harvested, died in vehicle collisions, or translocated throughout Vermont (n = 105), Quebec (n = 198), Massachusetts (n = 5), and New York (n = 24). Of the 317 previously identified autosomal moose SNPs, 136 loci were utilized to develop a MALDI-TOF MS genotyping assay. After filtering problematic loci and individuals, genotypes from 112 of 136 SNPs (82%) were obtained for 507 individuals and all loci met Hardy-Weinberg expectations in the nine geographic regions samples.

This dataset tracks annual diversity score from 2009 to 2023 for Pan American International High School vs. New York and New York City Geographic District #24 School District

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, 2019-2023Please note: We do not recommend comparing overlapping years of data due to the nature of this dataset. For more information, please visit: https://www.census.gov/programs-surveys/acs/guidance/comparing-acs-data.html

According to a survey conducted in 2024, over **** of Americans believed that diversity, equity, and inclusion (DEI) efforts in the workplace generally helped Black women, Black men, and Hispanic women in the United States. A further ** percent shared this same belief for Hispanic men. In contrast, only ** percent said that DEI practices helped white men at work in that year.

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Norwood Young America. The dataset can be utilized to gain insights into gender-based income distribution within the Norwood Young America population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Norwood Young America, among individuals aged 15 years and older with income, there were 1,348 men and 1,462 women in the workforce. Among them, 779 men were engaged in full-time, year-round employment, while 629 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 8.86% fell within the income range of under $24,999, while 4.13% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 12.32% of men in full-time roles earned incomes exceeding $100,000, while 5.56% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

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 Norwood Young America median household income by race. You can refer the same here

The purpose of this study was to understand the processes of development and advancement that produce minority executives by examining the cultures, orientations toward executive development, and approach to promoting racial diversity in management of three major U.S. organizations. The participants were employees at three major U.S. companies. The companies were selected because they are leaders in their industries in promoting racial diversity in management. They represent industries with different levels of technological intensity, and their culture and employment practices were all different. The target participants included 54 employees: 20 Minority Executives, 13 Minority Managers, 13 White Executives, and 8 White Managers. Of theses participants, 8 were women. In addition, 158 interviews were conducted with current or former supervisors, peers, and subordinates of the target participants, and 28 interviews were conducted with corporate officers, HR professionals, and others who were or had played a role in diversity management positions such as key succession planning, affirmative action, or diversity management of the three companies. Companies were asked to provide the contributor with a list of African American, Asian American, and Hispanic Americans who met the executive criteria for the study. A subset of these individuals was selected. Based on this group of minorities, a group of individuals was then selected from each of the comparison groups: White executives, plateaued minority managers, and plateaued White managers. The study consisted of Focal Interviews, Role Set Interviews, Corporate Interviews, and included personnel records, archival data, and other documents. The Focal Interview was administered to the 54 target participants and its purpose was to enable the participants to describe their upbringing, education, and career as they experienced it. This interview collected information to build personal histories and career biographies, explored issues salient to career experiences such as race, developmental relationships, and critical career incidents, sought to understand the effects of corporate context on career and development, and enabled participants to describe their careers from their personal perspective. The Role Set interview was administered to the 158 current or former supervisors, peers, and subordinates of the target participants. The purpose of this interview was to obtain additional perspectives on the target participants' strengths, weaknesses, management style, their career development, and the extent their race and gender influenced behavior. The Corporate Interview was administered to the 28 corporate officers, HR professionals, and others who were or had played a role in diversity management positions such as key succession planning, affirmative action, or diversity management of the three companies. The purpose of this final interview was to understand the histories, culture, executive development, and approaches to promoting racial diversity in management of the three organizations. Lastly, personnel records were used to construct individual career biographies and to validate interview data, archival records from one organization was used to validate career trajectory patterns, and published and unpublished documents were gathered on each companies' diversity efforts over a thirty year period. Variables assessed include supervisory positions, tenure, upbringing, career history, education, race, mentors, high and low career points, management style, and strengths and weaknesses. The Murray Research Archive holds electronic text file transcripts from this study.

The American Medical Informatics Association (AMIA) Task Force on Diversity, Equity, and Inclusion (DEI) was established to address systemic racism and health disparities within biomedical and health informatics, aligning with AMIA’s mission to transform healthcare through trusted science, education, and informatics practice. AMIA member voices, responding to police brutality and COVID-19's impact on Black and/or African American communities, spurred the creation of AMIA’s DEI initiatives. The Task Force proposed actionable recommendations to the AMIA Board of Directors across five domains: translational bioinformatics, clinical research, consumer, clinical, and public health informatics. In the first 9 months, the Task Force (1) created a logic model to support workforce diversity and raise AMIA's DEI awareness, (2) conducted an environmental scan of other associations’ DEI activities, (3) developed a DEI framework for AMIA meetings, (4) gathered member feedback, (5) cultivated DEI educational resources, (6) created an informational session on Board nominations and diversity, (7) reviewed the Board’s Strategic Planning documentation to align DEI efforts, (8) led a program to increase attendee diversity at the 2020 AMIA Virtual Annual Symposium, and (9) standardized data collection of socially-assigned race and ethnicity data. The Task Force’s collaborative and comprehensive approach helped AMIA understand its member diversity within the context of systemic racism and health equity. This work supported marginalized groups, broadened the research agenda, and positioned AMIA as a DEI leader in informatics. Transforming informatics and AMIA to represent the diversity of those AMIA serves is a journey; AMIA’s journey is still unfolding.

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.

This dataset tracks annual diversity score from 2015 to 2023 for American International School Of Utah vs. Utah and American International School Of Utah School District

According to a survey conducted in 2023, ** percent of Black Americans said that they approved of selective colleges and universities taking race and ethnicity into account in admissions decisions in order to increase diversity at school in the United States, while ** percent of Hispanic Americans and ** percent of Asian Americans shared this belief.