Anti-Black or African American attacks were the most common form of racist hate crime in the United States in 2023, with 3,027 cases. Anti-White hate crimes were the next most common form of race-based hate crime in that year, with 831 incidents.

A majority of both male and female respondents in 2024 thought that racism was either somewhat prevalent, or a great deal prevalent, in the society of the United Kingdom. Female respondents were more likely to believe racism was present in UK society than men, while 19 percent of men felt that racism was not very prevalent.

Knowing the racial and ethnic composition of a community is often one of the first steps in understanding, serving, and advocating for various groups. This information can help enforce laws, policies, and regulations against discrimination based on race and ethnicity. These statistics can also help tailor services to accommodate cultural differences.This multi-scale map shows the most common race/ethnicity living within an area. Map opens at tract-level in Los Angeles, CA but has national coverage. Zoom out to see counties and states.This map uses these hosted feature layers containing the most recent American Community Survey data. These layers are part of the ArcGIS Living Atlas, and are updated every year when the American Community Survey releases new estimates, so values in the map always reflect the newest data available. 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.

This dataset includes live births, birth rates, and fertility rates by race of mother in the United States since 1960. Data availability varies by race and ethnicity groups. All birth data by race before 1980 are based on race of the child. Since 1980, birth data by race are based on race of the mother. For race, data are available for Black and White births since 1960, and for American Indians/Alaska Native and Asian/Pacific Islander births since 1980. Data on Hispanic origin are available since 1989. Teen birth rates for specific racial and ethnic categories are also available since 1989. From 2003 through 2015, the birth data by race were based on the “bridged” race categories (5). Starting in 2016, the race categories for reporting birth data changed; the new race and Hispanic origin categories are: Non-Hispanic, Single Race White; Non-Hispanic, Single Race Black; Non-Hispanic, Single Race American Indian/Alaska Native; Non-Hispanic, Single Race Asian; and, Non-Hispanic, Single Race Native Hawaiian/Pacific Islander (5,6). Birth data by the prior, “bridged” race (and Hispanic origin) categories are included through 2018 for comparison. SOURCES NCHS, National Vital Statistics System, birth data (see https://www.cdc.gov/nchs/births.htm); public-use data files (see https://www.cdc.gov/nchs/data_access/VitalStatsOnline.htm); and CDC WONDER (see http://wonder.cdc.gov/). REFERENCES National Office of Vital Statistics. Vital Statistics of the United States, 1950, Volume I. 1954. Available from: https://www.cdc.gov/nchs/data/vsus/vsus_1950_1.pdf. Hetzel AM. U.S. vital statistics system: major activities and developments, 1950-95. National Center for Health Statistics. 1997. Available from: https://www.cdc.gov/nchs/data/misc/usvss.pdf. National Center for Health Statistics. Vital Statistics of the United States, 1967, Volume I–Natality. 1969. Available from: https://www.cdc.gov/nchs/data/vsus/nat67_1.pdf. Martin JA, Hamilton BE, Osterman MJK, et al. Births: Final data for 2015. National vital statistics reports; vol 66 no 1. Hyattsville, MD: National Center for Health Statistics. 2017. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr66/nvsr66_01.pdf. Martin JA, Hamilton BE, Osterman MJK, Driscoll AK, Drake P. Births: Final data for 2016. National Vital Statistics Reports; vol 67 no 1. Hyattsville, MD: National Center for Health Statistics. 2018. Available from: https://www.cdc.gov/nvsr/nvsr67/nvsr67_01.pdf. Martin JA, Hamilton BE, Osterman MJK, Driscoll AK, Births: Final data for 2018. National vital statistics reports; vol 68 no 13. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_13.pdf.

A special analysis of the Eurobarometer 2000 opinion poll on behalf of the European Monitoring Centre on Racism and Xenophobia. By SORA, Vienna, Austria, www.sora.at General recommendations and conclusions: These recommendations are based on findings hinted at in the data-analysis which do not permit the development of a complete set of policy recommendations. Policy recommendations should be based on a knowledge of causal relationships and the strength of effects which is beyond the scope of this project. Thus, the recommendations are linked and clearly connected to the evidence within the data. Political leadership: A quarter of all Europeans can be categorised as ‘ambivalent’ – meaning that they harbour positive and negative attitudes towards minorities at the same time. Data show that party affiliation is a part of the causal system producing attitudes towards minorities. Ambivalent people should be considered those who react most political leadership – awareness of this fact can help politicians to make their decisions. Unemployment: Experience with unemployment and the expectation of higher unemployment rates lead to an increase in hostile attitudes towards minorities. Sinking unemployment rates and information about a decrease in unemployment might reduce concerns about migration and minorities. Welfare: Since a large part of xenophobic concerns is about loss of welfare standards, policies which lend large majorities the feeling that they can participate in the increase of wealth within a growing economy will contribute significantly to reducing xenophobic concerns. Demographic developments and their impact have to be considered and researched. Particular attention should be paid to the number of retired people and the increasing number of old people with lower income and with low expectations within that group. An increase in hostility towards minorities might well get stronger in this group. Education: Higher education clearly correlates with positive attitudes towards minorities. More research should be carried out to determine the nature of this effect and establish whether the increase of higher education – which is a stable trend – will result in a more tolerant attitude within Europe in the coming decades. Personal relations: Supporting personal relationships between people of different religions, nations or with different skin colour increases tolerance. In the countries of Southern European, attitudes towards minorities seem to be influenced by other factors than in the rest of Europe. There is not enough evidence about causal relationships within this analysis to confirm that the conclusions mentioned above are meaningful for the southern part of Europe.

The results by volumes are distributed as follows:

• Volume A: Countries
• Volume AA: Groups of countries
• Volume A' (AP): Trends
• Volume AA' (AAP): Trends of groups of countries
• Volume B: EU/socio-demographics
• Volume B' (BP) : Trends of EU/ socio-demographics
• Volume C: Country/socio-demographics ---- Researchers may also contact GESIS - Leibniz Institute for the Social Sciences: https://www.gesis.org/eurobarometer

About this dataset

Context

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

Key observations

The percent distribution of Avon population by race (across all racial categories recognized by the U.S. Census Bureau): 98.21% are white, 0.60% are Black or African American and 1.19% 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 Avon
• Population: The population of the racial category (excluding ethnicity) in the Avon is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Avon 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 Avon Population by Race & Ethnicity. You can refer the same here

In 2023/24 there were 839 reported racist incidents in Northern Ireland, a slight decline compared to the previous reporting year.

TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER data base. The geographic coverage for a single TIGER/Line file is a county or statistical equivalent entity, with the coverage area based on January 1, 2000 legal boundaries. A complete set of Redistricting Census 2000 TIGER/Line files includes all counties and statistically equivalent entities in the United States and Puerto Rico. The Redistricting Census 2000 TIGER/Line files will not include files for the Island Areas. The Census TIGER data base represents a seamless national file with no overlaps or gaps between parts. However, each county-based TIGER/Line file is designed to stand alone as an independent data set or the files can be combined to cover the whole Nation. The Redistricting Census 2000 TIGER/Line files consist of line segments representing physical features and governmental and statistical boundaries. The Redistricting Census 2000 TIGER/Line files do NOT contain the ZIP Code Tabulation Areas (ZCTAs) and the address ranges are of approximately the same vintage as those appearing in the 1999 TIGER/Line files. That is, the Census Bureau is producing the Redistricting Census 2000 TIGER/Line files in advance of the computer processing that will ensure that the address ranges in the TIGER/Line files agree with the final Master Address File (MAF) used for tabulating Census 2000. The files contain information distributed over a series of record types for the spatial objects of a county. There are 17 record types, including the basic data record, the shape coordinate points, and geographic codes that can be used with appropriate software to prepare maps. Other geographic information contained in the files includes attributes such as feature identifiers/census feature class codes (CFCC) used to differentiate feature types, address ranges and ZIP Codes, codes for legal and statistical entities, latitude/longitude coordinates of linear and point features, landmark point features, area landmarks, key geographic features, and area boundaries. The Redistricting Census 2000 TIGER/Line data dictionary contains a complete list of all the fields in the 17 record types.

About this dataset

Context

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

Key observations

With a zero Hispanic population, State Line City is 100% Non-Hispanic. Among the Non-Hispanic population, the largest racial group is White alone with a population of 88 (89.80% 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 State Line City
• Population: The population of the racial category (for Non-Hispanic) in the State Line City is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of State Line City 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 State Line City Population by Race & Ethnicity. You can refer the same here

COVID-19 incidence and mortality in countries with heavy social inequalities differ in population terms. In countries like Brazil with colonial histories and traditions, the social markers of differences are heavily anchored in social and racial demarcation, and the political and social dynamics and processes based on structural racism act on this demarcation. The pandemic’s actual profile in Brazil clashes with narratives according to which COVID-19 is a democratic pandemic, an argument aligned with the rhetoric of racial democracy that represents a powerful strategy aimed at maintaining the subaltern place of racialized populations such as indigenous peoples and blacks, as a product of modern coloniality. This essay focuses on the pandemic’s profile in the Brazilian black population, in dialogue with decolonial contributions and critical readings of racism. The authors discuss government responses and COVID-19 indicators according to race/color, demonstrating the maintenance of historical storylines that continue to threaten black lives. The article also discusses the importance of local resistance movements, organized in the favelas, precarious urban spaces underserved by the State and occupied by black Brazilians.

About this dataset

Context

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

Key observations

The percent distribution of Colchester town population by race (across all racial categories recognized by the U.S. Census Bureau): 88.09% are white, 2.82% are Black or African American, 0.11% are American Indian and Alaska Native, 2.11% are Asian, 0.90% are some other race and 5.97% 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 Colchester town
• Population: The population of the racial category (excluding ethnicity) in the Colchester town is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Colchester 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 Colchester town Population by Race & Ethnicity. You can refer the same here

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.

Approximately 30 variables will be extracted from the publications that are included in the review. This will include information on the:

1. Study characteristics
   1. Publication (title, year of publication, author(s) and their affiliation, journal, type of document)
2. Variables of interest
   1. Concepts that are used for health research on racialised minority groups and how they are operationalised
   2. Research methodology and methods used
   3. The data used, and how this is collected, and applied

A full overview of the variables to be extracted can be found in this Data Extraction sheet.

The dataset contains estimates for the number of healthcare professionals in 15 different healthcare categories (e.g., Registered Nurse, Dentist, License Clinical Social Worker, etc.) based on completion of license renewal by Race/Ethnicity. There are two timeframes: all current licenses and recent licenses (since 2017). California population estimates are also included to provide a marker for each Race/Ethnicity. Each healthcare professional category can be compared across Race/Ethnicity groups and compared to statewide population estimates, so Race/Ethnicity shortages can be identified for each healthcare professional category. For instance, a notable difference between healthcare professional category and statewide population would indicate either underrepresentation or overrepresentation for that Race/Ethnicity, depending on the direction of the difference.

About this dataset

Context

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

Key observations

Of the Non-Hispanic population in Oak Grove, the largest racial group is White alone with a population of 990 (75.11% 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 Oak Grove
• Population: The population of the racial category (for Non-Hispanic) in the Oak Grove is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Oak Grove 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 Oak Grove Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

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

Key observations

The percent distribution of Whitehall population by race (across all racial categories recognized by the U.S. Census Bureau): 84.97% are white, 0.71% are Black or African American, 0.10% are Asian, 0.03% are some other race and 14.19% 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 Whitehall
• Population: The population of the racial category (excluding ethnicity) in the Whitehall is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Whitehall 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 Whitehall Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

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

Key observations

The percent distribution of Lomita population by race (across all racial categories recognized by the U.S. Census Bureau): 49.81% are white, 4.04% are Black or African American, 0.54% are American Indian and Alaska Native, 14.82% are Asian, 0.53% are Native Hawaiian and other Pacific Islander, 14.84% are some other race and 15.41% 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 Lomita
• Population: The population of the racial category (excluding ethnicity) in the Lomita is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Lomita 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 Lomita Population by Race & Ethnicity. You can refer the same here

Data related to the interview used for writing the article "Kandandu: Black Women's Identity, Racism, and Street Carnival."

NOTE: After 10/20/2021, this dataset will no longer be updated and will be replaced by the new dataset: "COVID-19 Vaccinations by Race/Ethnicity" (https://data.ct.gov/Health-and-Human-Services/COVID-19-Vaccinations-by-Race-Ethnicity/4z97-pa4q). Percentage of people who initiated COVID-19 vaccination by race/ethnicity as reported by providers. Population estimates are based on 2019 CT population estimates. The 2019 CT population data which is the most recent year available. In this data, a person with reported Hispanic or Latino ethnicity is considered Hispanic regardless of reported race. The category Unknown includes unknown race and/or ethnicity. A vaccine coverage percentage cannot be calculated for people classified as NH Other race given a lack of census data for this group. Data quality assurance activities suggest that NH Other may represent a missing value. The estimated vaccine coverage percentages shown here may be underestimated for race/ethnicity groups because of missing data. All data in this report are preliminary; data for previous dates will be updated as new reports are received and data errors are corrected.