100+ datasets found
  1. Races/ethnicities most commonly targeted in hate crimes U.S. 2023

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Races/ethnicities most commonly targeted in hate crimes U.S. 2023 [Dataset]. https://www.statista.com/statistics/737681/number-of-racial-hate-crimes-in-the-us-by-race/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

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

  2. Opinion on racism in UK society by gender 2024

    • statista.com
    Updated Sep 24, 2024
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    Statista (2024). Opinion on racism in UK society by gender 2024 [Dataset]. https://www.statista.com/statistics/1280585/opinion-racism-uk-society-gender/
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    Dataset updated
    Sep 24, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 4, 2024
    Area covered
    United Kingdom
    Description

    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.

  3. NCHS - Natality Measures for Females by Race and Hispanic Origin: United...

    • catalog.data.gov
    • data.virginia.gov
    • +7more
    Updated Mar 12, 2022
    + more versions
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    Centers for Disease Control and Prevention (2022). NCHS - Natality Measures for Females by Race and Hispanic Origin: United States [Dataset]. https://catalog.data.gov/dataset/nchs-natality-measures-for-females-by-race-and-hispanic-origin-united-states
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    Dataset updated
    Mar 12, 2022
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Area covered
    United States
    Description

    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.

  4. w

    Race and the criminal justice system 2010

    • gov.uk
    Updated Jul 26, 2012
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    Ministry of Justice (2012). Race and the criminal justice system 2010 [Dataset]. https://www.gov.uk/government/statistics/race-and-the-criminal-justice-system--3
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    Dataset updated
    Jul 26, 2012
    Dataset provided by
    GOV.UK
    Authors
    Ministry of Justice
    Description

    Statistics on race and the criminal justice system 2010

    Biennial statistics on the representation of Black, Asian and Minority Ethnic groups as victims, suspects, offenders and employees in the Criminal Justice System.

    These reports are released by the Ministry of Justice and produced in accordance with arrangements approved by the UK Statistics Authority.

    Introduction

    This report provides information about how members of Black, Asian and Minority Ethnic (BME) Groups in England and Wales were represented in the Criminal Justice System (CJS) in the most recent year for which data were available, and, wherever possible, across the last five years. Section 95 of the Criminal Justice Act 1991 requires the Government to publish statistical data to assess whether any discrimination exists in how the CJS treats people based on their race.

    These statistics are used by policy makers, the agencies who comprise the CJS and others to monitor differences between ethnic groups and where practitioners and others may wish to undertake more in-depth analysis. The identification of differences should not be equated with discrimination as there are many reasons why apparent disparities may exist.

    Specific findings

    Victims

    The most recent data on victims showed differences in the risks of crime between ethnic groups and, for homicides, in the relationship between victims and offenders. Overall, the number of racist incidents and racially or religiously aggravated offences recorded by the police had decreased over the last five years. Key Points:

    • The 2010/11 British Crime Survey (BCS) showed that the risk of being a victim of personal crime was higher for adults from a Mixed background than for other ethnic groups. It was also higher for members of all BME groups than for the White group.
    • Over the five-year period 2006/07 to 2010/11, there was a statistically significant fall in the risk of being a victim of personal crime for members of the White group of 0.8%. The apparent decrease for those from BME groups was not statistically significant.
    • Of the 2,007 homicides recorded for the latest three-year period (2007/08 to 2009/10), 75% of victims were White, 12% Black and 8% Asian.
    • In the majority of homicide cases, victims were suspected of being killed by someone from the same ethnic group, which is consistent with previous trends (88% of White victims, 78% of Black victims and 60% of Asian victims).

    Suspects

    Per 1,000 population, higher rates of s1 Stop and Searches were recorded for all BME groups (except for Chinese or Other) than for the White group. While there were decreases across the last five years in the overall number of arrests and in arrests of White people, arrests of those in the Black and Asian group increased.

    • Per 1,000 of the population, Black persons were Stopped and Searched 7.0 times more than White people in 2009/10 compared to 6.0 times more in 2006/07.
    • When referring to the rate per 1,000 population for England and Wales, it is important to bear in mind that the higher rate than that obtained for the rest of England and Wales(excluding the Metropolitan Police Service) is the product of the aggregation of 42 police force areas (PFAs), each with different distributions of both ethnic population and use of Stop and Search powers. While the area served by the Metropolitan Police Service accounts for 14% of the England and Wales population, 43% of s1 Stop and Searches are carried out by the Metropolitan Police Service.
    • Across England and Wales, there was a decrease (just over 3%) in the total number of arrests in 2009/10 (1,386,030) compared to 2005/06 (1,429,785). While the number of arrests for the White group also decreased during this period, arrests of Black persons rose by 5% and arrests of Asian people by 13%.
    • Overall, there were more arrests per 1,000 population of each BME group (except for Chinese or Other) than for people of White ethnicity in 2009/10. Black persons were arrested 3.3 times more than White people, and those from the Mixed ethnic group 2.3 times more.
    • In 2009/10, just over 9% of s1 Stop and Searches compared with 12%, 4% and 1% respectively in 2006/07.

    Defendants

    Data on out of court disposals and court proceedings show some differences in the sanctions issued to people of differing ethnicity and also in sentence lengths. These differences are likely to relate to a range of factors including variations in the types of offences committed and the plea entered, and should therefore be treated with caution. Key points:

    • Conviction ratios for indictable offences were higher for Wh

  5. Statistics on Race and the Criminal Justice System 2012

    • gov.uk
    Updated Dec 18, 2013
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    Ministry of Justice (2013). Statistics on Race and the Criminal Justice System 2012 [Dataset]. https://www.gov.uk/government/statistics/statistics-on-race-and-the-criminal-justice-system-2012
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    Dataset updated
    Dec 18, 2013
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Ministry of Justice
    Description

    Section 95 of the Criminal Justice Act 1991 requires the Government to publish statistical data to assess whether any discrimination exists in how the CJS treats individuals based on their ethnicity.

    These statistics are used by policy makers, the agencies who comprise the CJS and others (e.g. academics, interested bodies) to monitor differences between ethnic groups, and to highlight areas where practitioners and others may wish to undertake more in-depth analysis. The identification of differences should not be equated with discrimination as there are many reasons why apparent disparities may exist. The main findings are:

    Victims of crime

    The 2012/13 Crime Survey for England and Wales shows that adults from self-identified Mixed, Black and Asian ethnic groups were more at risk of being a victim of personal crime than adults from the White ethnic group. This has been consistent since 2008/09 for adults from a Mixed or Black ethnic group; and since 2010/11 for adults from an Asian ethnic group. Adults from a Mixed ethnic group had the highest risk of being a victim of personal crime in each year between 2008/09 and 2012/13.

    Homicide victims

    Homicide is a rare event, therefore, homicide victims data are presented aggregated in three-year periods in order to be able to analyse the data by ethnic appearance. The most recent period for which data are available is 2009/10 to 2011/12.

    The overall number of homicides has decreased over the past three three-year periods. The number of homicide victims of White and Other ethnic appearance decreased during each of these three-year periods. However the number of victims of Black ethnic appearance increased in 2006/07 to 2008/09 before falling again in 2009/10 to 2011/12.

    For those homicides where there is a known suspect, the majority of victims were of the same ethnic group as the principal suspect. However, the relationship between victim and principal suspect varied across ethnic groups. In the three-year period from 2009/10 to 2011/12, for victims of White ethnic appearance the largest proportion of principal suspects were from the victim’s own family; for victims of Black ethnic appearance, the largest proportion of principal suspects were a friend or acquaintance of the victim; while for victims of Asian ethnic appearance, the largest proportion of principal suspects were strangers.

    Homicide by sharp instrument was the most common method of killing for victims of White, Black and Asian ethnic appearance in the three most recent three-year periods. However, for homicide victims of White ethnic appearance hitting and kicking represented the second most common method of killing compared with shooting for victims of Black ethnic appearance, and other methods of killing for victims of Asian ethnic appearance.

    Suspects

    In 2011/12, a person aged ten or older (the age of criminal responsibility), who self-identified as belonging to the Black ethnic group was six times more likely than a White person to be stopped and searched under section 1 (s1) of the Police and Criminal Evidence Act 1984 and other legislation in England and Wales; persons from the Asian or Mixed ethnic group were just over two times more likely to be stopped and searched than a White person.

    Despite an increase across all ethnic groups in the number of stops and searches conducted under s1 powers between 2007/08 and 2011/12, the number of resultant arrests decreased across most ethnic groups. Just under one in ten stop and searches in 2011/12 under s1 powers resulted in an arrest in the White and Black self-identified ethnic groups, compared with 12% in 2007/08. The proportion of resultant arrests has been consistently lower for the Asian self-identified ethnic group.

    In 2011/12, for those aged 10 or older, a Black person was nearly three times more likely to be arrested per 1,000 population than a White person, while a person from the Mixed ethnic group was twice as likely. There was no difference in the rate of arrests between Asian and White persons.

    The number of arrests decreased in each year between 2008/09 and 2011/12, consistent with a downward trend in police recorded crime since 2004/05. Overall, the number of arrests decreased for all ethnic groups between 2008/09 and 2011/12, however arrests of suspects from the Black, Asian and Mixed ethnic groups peaked in 2010/11.

    Arrests for drug offences and sexual offences increased for suspects in all ethnic groups except the Chinese or Other ethnic group between 2008/09 and 2011/12. In addition, there were increases in arrests for burglary, robbery and the other offences category for suspects from the Black and Asian ethnic groups.

    Defendants

    The use of out of court disposals (Penalty Notices for Disorder and caution

  6. f

    Data from: Institutional racism and black woman health: an analysis of...

    • scielo.figshare.com
    jpeg
    Updated May 30, 2023
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    Beatriz Muccini Costa Oliveira; Fabiana Kubiak (2023). Institutional racism and black woman health: an analysis of Brazilian scientific production [Dataset]. http://doi.org/10.6084/m9.figshare.11267288.v1
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    jpegAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    SciELO journals
    Authors
    Beatriz Muccini Costa Oliveira; Fabiana Kubiak
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Brazil
    Description

    ABSTRACT Brazil carries in its history centuries of slavery and racist ideologies that are reflected in its current social inequalities. Research shows that black women experience the worst access and quality of health care, which would be a consequence of institutional racism. Based on those data, a literature review was applied using the systematic review methodology with the aim to survey the Brazilian scientific production regarding institutional racism and the health of black women, as well as to analyze how the theme has been treated by researchers. It became clear that the literature on the subject remains scarce, reinforcing the need to address the theme racism in further research. Although racial inequality is confirmed in all articles analyzed, their conclusions vary among them, and some authors interpreted data solely as a consequence of economic inequality. We concluded that the debate about racism is of pivotal importance in the fight against it and that the identification of racial inequality with economic condition is a consequence of the racial democracy myth that contributes to the institutional racism perpetuation. Raising awareness about racism is needed among professionals so that it becomes essential to consider the category ‘race’ for equal health.

  7. e

    Annual Racist Incident Statistics

    • data.europa.eu
    • cloud.csiss.gmu.edu
    • +1more
    excel xls
    Updated Oct 11, 2021
    + more versions
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    Home Office (2021). Annual Racist Incident Statistics [Dataset]. https://data.europa.eu/data/datasets/annual_racist_incident_statistics
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    excel xlsAvailable download formats
    Dataset updated
    Oct 11, 2021
    Dataset authored and provided by
    Home Office
    License

    http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence

    Description

    Summary table of racist incidents by police force area. Source agency: Home Office Designation: Official Statistics not designated as National Statistics Language: English Alternative title: Annual Racist Incident Statistics

  8. f

    Negative binomial regression models estimating associations between area...

    • plos.figshare.com
    xls
    Updated May 30, 2023
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    David H. Chae; Sean Clouston; Mark L. Hatzenbuehler; Michael R. Kramer; Hannah L. F. Cooper; Sacoby M. Wilson; Seth I. Stephens-Davidowitz; Robert S. Gold; Bruce G. Link (2023). Negative binomial regression models estimating associations between area racism and Black cause-specific mortality rates. [Dataset]. http://doi.org/10.1371/journal.pone.0122963.t003
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    xlsAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOS ONE
    Authors
    David H. Chae; Sean Clouston; Mark L. Hatzenbuehler; Michael R. Kramer; Hannah L. F. Cooper; Sacoby M. Wilson; Seth I. Stephens-Davidowitz; Robert S. Gold; Bruce G. Link
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Note: MRR = Mortality Rate Ratio; CI = confidence interval.Among ≥ 25 years of age. Race-specific age and sex-adjusted mortality rates weighted using the US 2000 standard population per 100,000 person-years from death certificates and mid-year population counts collated by the National Center for Health Statistics (NCHS), 2004–2009. All models adjusted for individual age, sex, year of death, and Census region; area characteristics at the designated market area (DMA) level (urbanicity, % Black, % high school education among Blacks, Black poverty rate) from the American Community Survey, 2004–2009; and corresponding DMA-level White cause-specific mortality rates per 100,000 person-years from NCHS.Negative binomial regression models estimating associations between area racism and Black cause-specific mortality rates.

  9. Discrimination and perceived racism among migrant groups Australia 2023

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Discrimination and perceived racism among migrant groups Australia 2023 [Dataset]. https://www.statista.com/statistics/1446768/australia-discrimination-and-perceived-racism-among-migrant-groups/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 2023
    Area covered
    Australia
    Description

    In 2023, ** percent of those surveyed in Australia who were born overseas experienced discrimination based on skin color, ethic origin, or religion in the preceding 12 months. ** percent of respondents believed that racism was a fairly or very big problem in Australia in 2023.

  10. i

    Grant Giving Statistics for Before Racism

    • instrumentl.com
    Updated Apr 11, 2024
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    (2024). Grant Giving Statistics for Before Racism [Dataset]. https://www.instrumentl.com/990-report/before-racism
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    Dataset updated
    Apr 11, 2024
    Variables measured
    Total Assets, Total Giving
    Description

    Financial overview and grant giving statistics of Before Racism

  11. s

    Victims of racial and religious hate crime

    • ethnicity-facts-figures.service.gov.uk
    csv
    Updated Apr 9, 2025
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    Race Disparity Unit (2025). Victims of racial and religious hate crime [Dataset]. https://www.ethnicity-facts-figures.service.gov.uk/crime-justice-and-the-law/crime-and-reoffending/victims-of-racial-and-religious-hate-crime/latest
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    csv(68 KB)Available download formats
    Dataset updated
    Apr 9, 2025
    Dataset authored and provided by
    Race Disparity Unit
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    England and Wales
    Description

    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.

  12. f

    Reported experience and/or witnessing of racial discrimination by...

    • plos.figshare.com
    xls
    Updated Jan 17, 2024
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    Hannah Strohmeier; Ronald Musizvingoza; Nisha Sajnani (2024). Reported experience and/or witnessing of racial discrimination by demographic characteristics. [Dataset]. http://doi.org/10.1371/journal.pone.0295715.t002
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    xlsAvailable download formats
    Dataset updated
    Jan 17, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Hannah Strohmeier; Ronald Musizvingoza; Nisha Sajnani
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Reported experience and/or witnessing of racial discrimination by demographic characteristics.

  13. H

    Data from: Racism and Trust in Europe

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Sep 3, 2023
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    Matthew Bonick (2023). Racism and Trust in Europe [Dataset]. http://doi.org/10.7910/DVN/BFMD1R
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 3, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Matthew Bonick
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Europe
    Description

    The attached data set and do file is set up to replicate the paper below Abstract : I study the impact of racism on trust in Europe. To operationalize trust and racism, I use individual level responses from the European Social and World Value Surveys. The results of the multivariate analysis indicate, individuals who possess a self-reported racist attitude are less likely to be trusting. To address the issue of causality, I examine second generation immigrants. When analyzing immigrants and using the level of racism of their origin country as a proxy for individual racial attitudes, I find, racism continues to predict lower levels of trust. These results provide evidence racism has a negative, significant, and causal impact on generalized trust. Additionally, the paper supports the notion that racism could have negative economic consequences via the erosion of social capital.

  14. Take-up Rate by Program and Race/Ethnicity

    • catalog.data.gov
    • data.va.gov
    • +3more
    Updated Aug 2, 2025
    + more versions
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    Department of Veterans Affairs (2025). Take-up Rate by Program and Race/Ethnicity [Dataset]. https://catalog.data.gov/dataset/take-up-rate-by-program-and-race-ethnicity
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    Dataset updated
    Aug 2, 2025
    Dataset provided by
    United States Department of Veterans Affairshttp://va.gov/
    Description

    Take-up rate within 2 years of tranistioning out of military by race/ethnicity and VA Benefit or Service.

  15. i

    Grant Giving Statistics for Colonial Area Anti Racism And Social Equity...

    • instrumentl.com
    Updated Feb 2, 2025
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    (2025). Grant Giving Statistics for Colonial Area Anti Racism And Social Equity Alliance [Dataset]. https://www.instrumentl.com/990-report/colonial-area-anti-racism-and-social-equity-alliance
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    Dataset updated
    Feb 2, 2025
    Description

    Financial overview and grant giving statistics of Colonial Area Anti Racism And Social Equity Alliance

  16. f

    Data from: Descriptive characteristics.

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    David H. Chae; Sean Clouston; Mark L. Hatzenbuehler; Michael R. Kramer; Hannah L. F. Cooper; Sacoby M. Wilson; Seth I. Stephens-Davidowitz; Robert S. Gold; Bruce G. Link (2023). Descriptive characteristics. [Dataset]. http://doi.org/10.1371/journal.pone.0122963.t001
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    David H. Chae; Sean Clouston; Mark L. Hatzenbuehler; Michael R. Kramer; Hannah L. F. Cooper; Sacoby M. Wilson; Seth I. Stephens-Davidowitz; Robert S. Gold; Bruce G. Link
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Note: Among ≥ 25 years of age. Area characteristics at the designated market area level from the American Community Survey, 2004–2009 for urbanicity (% living in a city with ≥ 50,000 people); % Black; education among Blacks (% with up to high school education); and poverty among Blacks (% households in poverty). Race-specific age and sex-adjusted mortality rates weighted using the US 2000 standard population per 100,000 person-years from death certificates and mid-year population counts collated by the National Center for Health Statistics, 2004–2009.Descriptive characteristics.

  17. c

    Public Health Statistics - Life Expectancy By Race Ethnicity - Historical

    • s.cnmilf.com
    • healthdata.gov
    • +3more
    Updated Dec 2, 2023
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    data.cityofchicago.org (2023). Public Health Statistics - Life Expectancy By Race Ethnicity - Historical [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/public-health-statistics-life-expectancy-by-race-ethnicity
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    Dataset updated
    Dec 2, 2023
    Dataset provided by
    data.cityofchicago.org
    Description

    Note: This dataset is historical only and there are not corresponding datasets for more recent time periods. For that more-recent information, please visit the Chicago Health Atlas at https://chicagohealthatlas.org. This dataset gives the average life expectancy and corresponding confidence intervals for sex and racial-ethnic groups in Chicago for the years 1990, 2000 and 2010. See the full description at: https://data.cityofchicago.org/api/views/3qdj-cqb8/files/pJ3PVVyubnsS2SpGO5P5IOPtNgCJZTE3LNOeLagC3mw?download=true&filename=P:\EPI\OEPHI\MATERIALS\REFERENCES\Life Expectancy\Dataset description_LE_ Sex_Race_Ethnicity.pdf

  18. i

    Grant Giving Statistics for Foundation Against Intolerance & Racism Inc.

    • instrumentl.com
    Updated Aug 8, 2024
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    (2024). Grant Giving Statistics for Foundation Against Intolerance & Racism Inc. [Dataset]. https://www.instrumentl.com/990-report/foundation-against-intolerance-racism-inc
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    Dataset updated
    Aug 8, 2024
    Variables measured
    Total Assets, Total Giving
    Description

    Financial overview and grant giving statistics of Foundation Against Intolerance & Racism Inc.

  19. Data from: Race of Prisoners Admitted to State and Federal Institutions in...

    • catalog.data.gov
    • datasets.ai
    • +5more
    Updated Mar 12, 2025
    + more versions
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    Bureau of Justice Statistics (2025). Race of Prisoners Admitted to State and Federal Institutions in the United States, 1926-1986 [Dataset]. https://catalog.data.gov/dataset/race-of-prisoners-admitted-to-state-and-federal-institutions-in-the-united-states-1926-198
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    Dataset updated
    Mar 12, 2025
    Dataset provided by
    Bureau of Justice Statisticshttp://bjs.ojp.gov/
    Area covered
    United States
    Description

    This data collection includes tabulations of annual adult admissions to federal and state correctional institutions by race. Data are provided for the years 1926 to 1986 and include tabulations for prisons in each of the 50 states and the District of Columbia, as well as federal prison totals and United States totals. The figures were derived from a voluntary reporting program in which each state, the District of Columbia, and the Federal Bureau of Prisons reported summary and detailed statistics as a part of the National Prisoner Statistics series. Individual state and United States population figures according to racial categories also are provided.

  20. d

    Replication Data for: Measuring Racial Bias in International Migration Flows...

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    • dataverse.harvard.edu
    • +1more
    Updated Nov 22, 2023
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    Rosenberg, Andrew (2023). Replication Data for: Measuring Racial Bias in International Migration Flows [Dataset]. http://doi.org/10.7910/DVN/7PAAA3
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    Dataset updated
    Nov 22, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Rosenberg, Andrew
    Description

    Are international migration flows racially biased? Despite widespread consensus that racism and xenophobia affect migration processes, no measure exists to provide systematic evidence on this score. In this research note, I construct such a measure—the migration deviation. Migration deviations are the difference between the observed migration between states, and the flow that we would predict based on a racially blind model that includes a wide variety of political and economic factors. Using this measure, I conduct a descriptive analysis and provide evidence that migrants from majority black states migrate far less than we would expect under a racially blind model. These results pave a new way for scholars to study international racial inequality.

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Statista (2025). Races/ethnicities most commonly targeted in hate crimes U.S. 2023 [Dataset]. https://www.statista.com/statistics/737681/number-of-racial-hate-crimes-in-the-us-by-race/
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Races/ethnicities most commonly targeted in hate crimes U.S. 2023

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Dataset updated
Jun 23, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2023
Area covered
United States
Description

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

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