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.

In 2023, **** percent of Black people living in the United States were living below the poverty line, compared to *** percent of white people. That year, the total poverty rate in the U.S. across all races and ethnicities was **** percent. Poverty in the United States Single people in the United States making less than ****** U.S. dollars a year and families of four making less than ****** U.S. dollars a year are considered to be below the poverty line. Women and children are more likely to suffer from poverty, due to women staying home more often than men to take care of children, and women suffering from the gender wage gap. Not only are women and children more likely to be affected, racial minorities are as well due to the discrimination they face. Poverty data Despite being one of the wealthiest nations in the world, the United States had the third highest poverty rate out of all OECD countries in 2019. However, the United States' poverty rate has been fluctuating since 1990, but has been decreasing since 2014. The average median household income in the U.S. has remained somewhat consistent since 1990, but has recently increased since 2014 until a slight decrease in 2020, potentially due to the pandemic. The state that had the highest number of people living below the poverty line in 2020 was California.

Graph and download economic data for Population Level - Black or African American (LNU00000006) from Jan 1972 to Aug 2025 about African-American, civilian, population, and USA.

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?

About this dataset

Context

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

Key observations

The percent distribution of Ethel population by race (across all racial categories recognized by the U.S. Census Bureau): 74.40% are white, 25% are Black or African American and 0.60% are multiracial.

https://i.neilsberg.com/ch/ethel-ms-population-by-race.jpeg" alt="Ethel population by race">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Ethel
• Population: The population of the racial category (excluding ethnicity) in the Ethel is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Ethel 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 Ethel Population by Race & Ethnicity. You can refer the same here

In the fiscal year of 2019, 21.39 percent of active-duty enlisted women were of Hispanic origin. The total number of active duty military personnel in 2019 amounted to 1.3 million people.

Ethnicities in the United States The United States is known around the world for the diversity of its population. The Census recognizes six different racial and ethnic categories: White American, Native American and Alaska Native, Asian American, Black or African American, Native Hawaiian and Other Pacific Islander. People of Hispanic or Latino origin are classified as a racially diverse ethnicity.

The largest part of the population, about 61.3 percent, is composed of White Americans. The largest minority in the country are Hispanics with a share of 17.8 percent of the population, followed by Black or African Americans with 13.3 percent. Life in the U.S. and ethnicity However, life in the United States seems to be rather different depending on the race or ethnicity that you belong to. For instance: In 2019, native Hawaiians and other Pacific Islanders had the highest birth rate of 58 per 1,000 women, while the birth rae of white alone, non Hispanic women was 49 children per 1,000 women.

The Black population living in the United States has the highest poverty rate with of all Census races and ethnicities in the United States. About 19.5 percent of the Black population was living with an income lower than the 2020 poverty threshold. The Asian population has the smallest poverty rate in the United States, with about 8.1 percent living in poverty.

The median annual family income in the United States in 2020 earned by Black families was about 57,476 U.S. dollars, while the average family income earned by the Asian population was about 109,448 U.S. dollars. This is more than 25,000 U.S. dollars higher than the U.S. average family income, which was 84,008 U.S. dollars.

Biometric Attack Dataset, Black People

  The similar dataset that includes all ethnicities - Anti Spoofing Real Dataset

The dataset for face anti spoofing and face recognition includes images and videos of black people. The dataset helps in enchancing the performance of the model by providing wider range of data for a specific ethnic group. The videos were gathered by capturing faces of genuine individuals presenting spoofs, using facial presentations. Our dataset proposes… See the full description on the dataset page: https://huggingface.co/datasets/UniqueData/black-people-liveness-detection-video-dataset.

About this dataset

Context

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

Key observations

The percent distribution of Salt Lake City population by race (across all racial categories recognized by the U.S. Census Bureau): 70.50% are white, 2.73% are Black or African American, 1.18% are American Indian and Alaska Native, 5.35% are Asian, 1.44% are Native Hawaiian and other Pacific Islander, 9.22% are some other race and 9.57% 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 Salt Lake City
• Population: The population of the racial category (excluding ethnicity) in the Salt Lake City is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Salt Lake City 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 Salt Lake City Population by Race & Ethnicity. You can refer the same here

Graph and download economic data for Homeownership Rates by Race and Ethnicity: Black Alone in the United States (BOAAAHORUSQ156N) from Q1 1994 to Q2 2025 about African-American, homeownership, rate, and USA.

About this dataset

Context

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

Key observations

The percent distribution of Russia town population by race (across all racial categories recognized by the U.S. Census Bureau): 93.32% are white, 1.53% are Black or African American, 1.36% are American Indian and Alaska Native, 0.25% are Asian and 3.55% are multiracial.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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 Russia town
• Population: The population of the racial category (excluding ethnicity) in the Russia town is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Russia town 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 Russia town Population by Race & Ethnicity. You can refer the same here

Racial disparities arise across many vital areas of American life, including employment, health, and interpersonal treatment. For example, 1 in 3 Black children live in poverty (vs. 1 in 9 White children) and on average, Black Americans live 4 fewer years than White Americans. Which disparity is more likely to spark reduction efforts? We find that highlighting disparities in health-related (vs. economic) outcomes spurs greater social media engagement and support for disparity-mitigating policy. Further, reading about racial health disparities elicits greater support for action (e.g., protesting) than economic or belonging-based disparities. This occurs, in part, because people view health disparities as violating morally-sacred values which enhances perceived injustice. This work elucidates which manifestations of racial inequality are most likely to prompt Americans to action., The data from Studies 1a, 1b, 3, 4a, and 4b were collected via online platfroms (i.e., Mturk.com, Prolific Academic, and NORC’s AmeriSpeak Panel). All analyses were run in R with the R code provided (title: Health_Disparities_Syntax.R)., , # Highlighting Health Consequences of Racial Disparities Sparks Support for Action

There are a total of 5 datasets available (Studies 1a, 1b, 3, 4a, 4b) each collected by the researchers from online survey platforms. All data files are .sav files. We recommed using SPSS or RStudio to work with the data. We provide our code using RStudio and a codebook with the name of all variables in each dataset.

Description of the data and file structure

Study 1a and Study 1b utilized a within-subjects experimental design (S1a: N=191; S1b, preregistered: N=337, 50% White participants, 50% Black participants) where samples of U.S. citizens recruited from MTurk.com and Prolific Academic read nine examples of racial disparities, three each from the domains of health, economics, and belonging. After each example, participants reported whether the disparity was unjust and fair (reverse-coded; 2-items averaged to create a perceived injustice scale). Participants also indicated their agreement (1=s...

This study explores attitudes and perceptions related to urban problems and race relations in 15 northern cities of the United States (Baltimore, Boston, Brooklyn, Chicago, Cincinnati, Cleveland, Detroit, Gary, Milwaukee, Newark, Philadelphia, Pittsburgh, St. Louis, San Francisco, and Washington, DC). More specifically, it seeks to define the social and psychological characteristics and aspirations of the Black and White urban populations. Samples of Blacks and Whites were selected in each of the cities in early 1968. The study employed two questionnaire forms, one for Whites and one for Blacks, and two corresponding data files were generated. Attitudinal questions asked of the White and Black respondents measured their satisfaction with community services, their feelings about the effectiveness of government in solving urban problems, and their experience with police abuse. Additional questions about the respondent's familiarity with and participation in antipoverty programs were included. Other questions centered on the respondent's opinions about the 1967 riots: the main causes, the purpose, the major participating classes, and the effect of the riots on the Black cause. Respondents' interracial relationships, their attitudes toward integration, and their perceptions of the hostility between the races were also investigated. White respondents were asked about their opinions on the use of governmental intervention as a solution for various problems of the Blacks, such as substandard schools, unemployment, and unfair housing practices. Respondent's reactions to nonviolent and violent protests by Blacks, their acceptance of counter-rioting by Whites and their ideas concerning possible governmental action to prevent further rioting were elicited. Inquiries were made as to whether or not the respondent had given money to support or hinder the Black cause. Other items investigated respondents' perceptions of racial discrimination in jobs, education, and housing, and their reactions to working under or living next door to a Black person. Black respondents were asked about their perceptions of discrimination in hiring, promotion, and housing, and general attitudes toward themselves and towards Blacks in general. The survey also investigated respondents' past participation in civil rights organizations and in nonviolent and/or violent protests, their sympathy with rioters, and the likelihood of personal participation in a future riot. Other questions probed respondents' attitudes toward various civil rights leaders along with their concurrence with statements concerning the meaning of 'Black power.' Demographic variables include sex and age of the respondent, and the age and relationship to the respondent of each person in the household, as well as information about the number of persons in the household, their race, and the type of structure in which they lived. Additional demographic topics include the occupational and educational background of the respondent, of the respondent's family head, and of the respondent's father. The respondent's family income and the amount of that income earned by the head of the family were obtained, and it was determined if any of the family income came from welfare, Social Security, or veteran's benefits. This study also ascertained the place of birth of the respondent and respondent's m other and father, in order to measure the degree of southern influence. Other questions investigated the respondent's military background, religious preference, marital status, and family composition.

About this dataset

Context

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

Key observations

The percent distribution of Madison population by race (across all racial categories recognized by the U.S. Census Bureau): 76.11% are white, 6.83% are Black or African American, 0.33% are American Indian and Alaska Native, 8.93% are Asian, 0.04% are Native Hawaiian and other Pacific Islander, 1.57% are some other race and 6.20% are multiracial.

https://i.neilsberg.com/ch/madison-wi-population-by-race.jpeg" alt="Madison population by race">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Madison
• Population: The population of the racial category (excluding ethnicity) in the Madison is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Madison 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 Madison Population by Race & Ethnicity. You can refer the same here

There is no single, simple way to measure racial equity. Instead, researchers and governments pull from a range of different data sources to identify ways in which people might experience racial equity gaps – using ‘indicators’. With this knowledge, the Mayor's Office of Racial Equity (ORE) and the Office of the Chief Technology Officer (OCTO) developed the District’s first Racial Equity Dashboard. The dashboard serves as a key supportive action in the District’s goal of eliminating racial and ethnic inequities, as articulated in the recently launched Districtwide Racial Equity Action Plan (REAP), primarily Goal 2.1: “Identify and measure long-standing racial equity indicators in partnership with other agencies, community-based organizations (CBOs), and District residents.” The Dashboard is a comprehensive, multi-page, online platform providing timely, relevant, and accessible data on 42 racial equity indicators across 7 dimensions of life in the District. This tool will allow the public and District government staff to learn more about racial equity in the District and track our progress towards eliminating racial and ethnic equity gaps and improving outcomes for all District residents. To keep the Dashboard meaningful and relevant, ORE cannot include every known, valid indicator of racial equity – in effect, those included in this Dashboard are subject to change based on ongoing stakeholder input and continued data availability.

About this dataset

Context

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

Key observations

The percent distribution of Mississippi population by race (across all racial categories recognized by the U.S. Census Bureau): 56.31% are white, 36.96% are Black or African American, 0.45% are American Indian and Alaska Native, 0.98% are Asian, 0.05% are Native Hawaiian and other Pacific Islander, 1.66% are some other race and 3.60% 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 Mississippi
• Population: The population of the racial category (excluding ethnicity) in the Mississippi is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Mississippi 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 Mississippi Population by Race & Ethnicity. You can refer the same here

This is a csv export from https://covidtracking.com/race/dashboard, a dashboard that reports the "latest race and ethnicity data from every state and territory that reports it." This data is presented alongside corresponding population data for each racial or ethnic group from the Census Bureau’s 2018 ACS 5-Year estimates. Note that we have used standard Census categories for race and ethnicity throughout this dashboard, but many states are currently reporting their data using non-standard categories.

More information is available from the Web site. This is a project from The Atlantic.

About the data: https://covidtracking.com/race/about#download-the-data

In the year ending in March 2024, 31.3% of victims of racially or religiously aggravated hate crime were Asian, 30.6% were White, and 23.1% were Black.

Professional sports leagues in North America have traditionally been home to athletes from many backgrounds and ethnicities. In the 2023 season, over ** percent of the players in the National Basketball Association (NBA) were African American. In comparison, **** percent of NBA athletes were white and *** percent were Hispanic.

As of November 17, 277 Black people were killed by the police in the United States in 2024. This compares to 201 Hispanic people and 445 white people. The rate of police shootings of Black Americans is much higher than any other ethnicity, at 6.2 per million people. This rate stands at 2.8 per million for Hispanic people and 2.4 per million for white people.

In 2023, the greatest share of players by ethnic group in the National Football League (NFL) were black or African American athletes, constituting just over ** percent of players within the NFL. Despite the large population of Hispanic or Latino people within the United States, there is a substantial underrepresentation within the NFL, with only *** percent of players identifying as such. National Football League The National Football League (NFL) is a professional American football league that was established in 1920 and now consists of 32 clubs divided into two conferences, the National Football Conference (NFC) and the American Football Conference (AFC). The league culminates in the Super Bowl, the NFL's annual championship game. As the league’s championship game, the Super Bowl has grown into one of the world's largest single-day sporting events, attracting high television ratings and generating billions of dollars in consumer spending. NFL revenues The NFL is one of the most profitable sports leagues in the world, generating a staggering **** billion U.S. dollars in 2022. This total revenue of all ** NFL teams has constantly increased over the past 15 years and, although this figure dropped significantly in 2020, this was largely as a result of the impact of coronavirus (COVID-19) containment measures. This significant drop in revenue demonstrates one of the primary impacts of COVID-19 on professional sports leagues. NFL franchises As a result of this profitability in non-pandemic times, the franchises of the NFL are attributed extremely high market values. The Dallas Cowboys were by far the most valuable franchise in the NFL, with a market value of **** billion US dollars in 2023. The high value of NFL franchises can be seen clearly when compared to those of the NBA, MLB, and NHL. Franchises within the NFL had an average market value of approximately *** billion U.S. dollars in 2023.