44 datasets found
  1. U.S. distribution of race and ethnicity among the military 2019

    • statista.com
    Updated Jan 24, 2025
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    Statista (2025). U.S. distribution of race and ethnicity among the military 2019 [Dataset]. https://www.statista.com/statistics/214869/share-of-active-duty-enlisted-women-and-men-in-the-us-military/
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    Dataset updated
    Jan 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    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.

  2. U.S. veterans by race and Hispanic origin 2023

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). U.S. veterans by race and Hispanic origin 2023 [Dataset]. https://www.statista.com/statistics/616753/us-veterans-by-race-and-hispanic-origin/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, there were almost *********** Black or African American veterans in the United States, representing around ** percent of the total veteran population.

  3. U.S. number of DoD active duty personnel 2022, by race

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). U.S. number of DoD active duty personnel 2022, by race [Dataset]. https://www.statista.com/statistics/232670/number-of-us-active-duty-personnel-by-race-2010/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    United States
    Description

    In 2022, approximately ******* active duty personnel in the United States Department of Defense were Black or African American. Furthermore, another ******* active duty DoD personnel were white in that year, making up around **** percent of the total number.

  4. U.S. Army National Guard - members by ethnic group

    • statista.com
    Updated Sep 30, 2011
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    Statista (2011). U.S. Army National Guard - members by ethnic group [Dataset]. https://www.statista.com/statistics/207444/national-guard-members-in-the-us-by-race/
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    Dataset updated
    Sep 30, 2011
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2010
    Area covered
    United States
    Description

    This statistic shows the number of Army National Guard members in the United States from 1995 to 2010 by ethnic group. The Army National Guard had 291,000 white and 48,000 black members in 2010.

  5. s

    Armed forces workforce

    • ethnicity-facts-figures.service.gov.uk
    csv
    Updated Feb 11, 2025
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    Race Disparity Unit (2025). Armed forces workforce [Dataset]. https://www.ethnicity-facts-figures.service.gov.uk/workforce-and-business/workforce-diversity/armed-forces-workforce/latest
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    csv(1 MB)Available download formats
    Dataset updated
    Feb 11, 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
    United Kingdom
    Description

    In April 2024, 13.1% of people in non-officer roles in the armed forces were from ethnic minorities, compared with 7.9% in April 2012.

  6. Vietnam War: share of U.S. military deaths by race or ethnicity 1964-1975

    • statista.com
    Updated Sep 2, 2024
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    Statista (2024). Vietnam War: share of U.S. military deaths by race or ethnicity 1964-1975 [Dataset]. https://www.statista.com/statistics/1334757/vietnam-war-us-military-deaths-ethnicity/
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    Dataset updated
    Sep 2, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The United States military has a long history of ethnic minorities serving in its ranks, with black Americans having served as far back as the Revolutionary War. The Vietnam War took place during a period of changing race relations in the United States, with the Civil Rights Movement reaching its peak in the mid-1960s, and this too was reflected in the military. The Vietnam War was the first major conflict in which black and white troops were not formally segregated, however, discrimination did still occur with black soldiers reporting being subject to overt racism, being unjustly punished, and having fewer promotion opportunities than their white counterparts.

    In the early phases of the war, black casualty rates were much higher than for other races and ethnicities, with some reports showing that black soldiers accounted for 25 percent of the casualties recorded in 1965. This declined substantially as the war progressed, however, the proportion of black service personnel among those fallen during the war was still disproportionately high, as black personnel comprised only 11 percent of the military during this era. A smaller number of other ethnic minorities were killed during the war, comprising two percent of the total.

  7. U.S. military active duty officers 2023, by gender and service branch

    • statista.com
    Updated Jan 24, 2025
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    Statista (2025). U.S. military active duty officers 2023, by gender and service branch [Dataset]. https://www.statista.com/statistics/214875/share-of-commissioned-officers-in-the-us-military-by-gender-and-branch/
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    Dataset updated
    Jan 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, around 21.3 percent of active duty officers in the United States Navy were women. Additionally, approximately 19.4 percent of officers in the Space Force were women.

  8. O

    2017 San Diego County Demographics - Veterans: Race and Ethnicity

    • data.sandiegocounty.gov
    application/rdfxml +5
    Updated Feb 20, 2020
    + more versions
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    County of San Diego (2020). 2017 San Diego County Demographics - Veterans: Race and Ethnicity [Dataset]. https://data.sandiegocounty.gov/Demographics/2017-San-Diego-County-Demographics-Veterans-Race-a/8yxw-365r
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    application/rssxml, json, csv, tsv, xml, application/rdfxmlAvailable download formats
    Dataset updated
    Feb 20, 2020
    Dataset authored and provided by
    County of San Diego
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    San Diego County
    Description

    Veterans by largest Race and Ethnicity categories, by Health and Human Services Service Area.

    This indicator provides the provides the percentage of civilian veterans by race/ethnicity group.

    Veterans are persons 18 years and over who ever served on active duty. A civilian veteran refers to persons 18 years or older who served on active duty in any military branch or served in the National Guard or military reserves (only those ever called or ordered to active duty were classified as veterans). It does not include persons currently in active duty.

    Source: U.S. Census Bureau; 2013-2017 American Community Survey 5-Year Estimates, Table S2101.

  9. Data from: Union Army Recruits in White Regiments in the United States,...

    • icpsr.umich.edu
    ascii, sas, spss
    Updated Jun 27, 2001
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    Fogel, Robert W.; Engerman, Stanley L.; Pope, Clayne; Wimmer, Larry (2001). Union Army Recruits in White Regiments in the United States, 1861-1865 [Dataset]. http://doi.org/10.3886/ICPSR09425.v2
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    spss, ascii, sasAvailable download formats
    Dataset updated
    Jun 27, 2001
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Fogel, Robert W.; Engerman, Stanley L.; Pope, Clayne; Wimmer, Larry
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/9425/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/9425/terms

    Time period covered
    1861 - 1865
    Area covered
    United States
    Description

    This data collection was designed to analyze the relationships among height, morbidity, and mortality among individuals recruited into the Union Army. Information about each recruit includes date, place, and term of enlistment, place of birth, military ID number, random number assigned to each company, occupation before enlistment, age at enlistment, and height. Population figures for 1850 to 1860 by race, sex, and county of birth also are included by county and town of both recruit's birth and enlistment places. In addition, the latitude and longitude of the population centroids of each civil division were also computed.

  10. A

    ‘Veteran Employment Outcomes’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Jul 22, 2020
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2020). ‘Veteran Employment Outcomes’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-veteran-employment-outcomes-513e/e623367d/?iid=012-149&v=presentation
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    Dataset updated
    Jul 22, 2020
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘Veteran Employment Outcomes’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/mpwolke/cusersmarildownloadsvetcsv on 28 January 2022.

    --- Dataset description provided by original source is as follows ---

    Context

    Veteran Employment Outcomes (VEO) are new experimental U.S. Census Bureau statistics on labor market outcomes for recently discharged Army veterans. These statistics are tabulated by military specialization, service characteristics, employer industry (if employed), and veteran demographics. They are generated by matching service member information with a national database of jobs, using state-of-the-art confidentiality protection mechanisms to protect the underlying data.

    https://lehd.ces.census.gov/data/veo_experimental.html

    Content

    "The VEO are made possible through data sharing partnerships between the U.S. Army, State Labor Market Information offices, and the U.S. Census Bureau. VEO data are currently available at the state and national level."

    "Veteran Employment Outcomes (VEO) are experimental tabulations developed by the Longitudinal Employer-Household Dynamics (LEHD) program in collaboration with the U.S. Army and state agencies. VEO data provides earnings and employment outcomes for Army veterans by rank and military occupation, as well as veteran and employer characteristics. VEO are currently released as a research data product in "experimental" form."

    "The source of veteran information in the VEO is administrative record data from the Department of the Army, Office of Economic and Manpower Analysis. This personnel data contains fields on service member characteristics, such as service start and end dates, occupation, pay grade, characteristics at entry (e.g. education and test scores), and demographic characteristics (e.g. sex, race, and ethnicity). Once service member records are transferred to the Census Bureau, personally-identifying information is stripped and veterans are assigned a Protected Identification Key (PIK) that allows for them to be matched with their employment outcomes in Census Bureau jobs data."

    Earnings, and Employment Concepts

    Earnings "Earnings are total annual earnings for attached workers from all jobs, converted to 2018 dollars using the CPI-U. For the annual earnings tabulations, we impose two labor force attachment restrictions. First, we drop veterans who earn less than the annual equivalent of full-time work at the prevailing federal minimum wage. Additionally, we drop veterans with two or more quarters with no earnings in the reference year. These workers are likely to be either marginally attached to the labor force or employed in non-covered employment."

    Employment

    "While most VEO tabulations include earnings from all jobs, tabulations by employer characteristics only consider the veteran's main job for that year. Main jobs are defined as the job for which veterans had the highest earnings in the reference year. To attach employer characteristics to that job, we assign industry and geography from the highest earnings quarter with that employer in the year. For multi-establishment firms, we use LEHD unit-to-worker imputations to assign workers to establishments, and then assign industry and geography."

    https://lehd.ces.census.gov/data/veo_experimental.html

    Acknowledgements

    United States Census Bureau

    https://lehd.ces.census.gov/data/veo_experimental.html

    Photo by Robert Linder on Unsplash

    Inspiration

    U.S. Veterans.

    --- Original source retains full ownership of the source dataset ---

  11. Surveys of Officer and Enlisted Personnel and Military Spouses, 1985

    • icpsr.umich.edu
    ascii, sas, spss
    Updated May 4, 2007
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    United States Department of Defense. Defense Manpower Data Center (2007). Surveys of Officer and Enlisted Personnel and Military Spouses, 1985 [Dataset]. http://doi.org/10.3886/ICPSR06340.v2
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    ascii, sas, spssAvailable download formats
    Dataset updated
    May 4, 2007
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States Department of Defense. Defense Manpower Data Center
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/6340/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/6340/terms

    Time period covered
    Jan 1985 - Jun 1985
    Area covered
    United States
    Description

    The two surveys that constitute this study -- the 1985 Survey of Officer and Enlisted Personnel (1985 Member Survey) and the 1985 Survey of Military Spouses (1985 Spouse Survey) -- were conducted in order to study various issues relating to military personnel. Areas of investigation included (1) the response of personnel to changes in military compensation and benefits enacted in previous years, (2) factors affecting readiness and retention of active duty personnel, (3) projected behavior of military personnel in response to possible changes in personnel management, (4) differences in career orientations, attitudes, and experiences among members of different subgroups, e.g., minorities, men, and women, (5) the demographic, household, familial, and other characteristics of military personnel, couples, and families, including special groups such as dual-career couples and single-parent families, (6) the impact of military policies on aspects of military and family life such as residential arrangements, continuing education, and spouse employment, (7) family well-being, including economic issues facing military families, and (8) demand for, use, and perceived adequacy of programs providing family services. Data collected by the Member Survey include branch of service, pay grade, military occupation, length of stay at current location, problems encountered at current location and in moving to the location, expected pay grade upon leaving the military, probable behavior under different personnel management options, civilian work experience and earnings, and the degree of satisfaction or dissatisfaction with various aspects of military life such as pay and allowances, personal freedom, acquaintances and friendships, work group and co-workers, assignment stability, environment for families, frequency of moves, retirement benefits, promotion opportunities, job training and in-service education, job security, medical care, and dental care. The Spouse Survey covered some of the subjects included in the Member Survey, but with differing levels of detail and emphasis. Attitudes gauged by the Spouse Survey include satisfaction/dissatisfaction with military housing, rights of civilian spouses, levels of demands made on civilian spouses, availability of job opportunities for civilian spouses, and childcare centers at military bases. Additional information gathered by the surveys includes sex, age, race, Hispanic origin, income and debt, marital status, educational attainment, number and ages of dependents, whether or not dependents were handicapped, and main language spoken at home. Data for the Member Survey and the Spouse Survey are supplied in separate files. A Couple File, comprising husband/wife pairs, contains merged data from both surveys.

  12. H

    Replication Data for: Student Attitudes Toward Campus Diversity at the...

    • dataverse.harvard.edu
    application/x-gzip +1
    Updated Oct 28, 2018
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    Harvard Dataverse (2018). Replication Data for: Student Attitudes Toward Campus Diversity at the United States Naval Academy: Evidence from Conjoint Survey Experiments [Dataset]. http://doi.org/10.7910/DVN/AEA4RW
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    application/x-gzip(1591770), txt(2554)Available download formats
    Dataset updated
    Oct 28, 2018
    Dataset provided by
    Harvard Dataverse
    License

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

    Area covered
    Naval Academy
    Description

    Although the value of diversity—in terms of race, ethnicity, gender, and socioeconomic status—to the U.S. military has been subject to debate, preferences for diversity at educational institutions for the military officers are rarely examined systematically. To address this, we investigate whether midshipmen at the U.S. Naval Academy favor prioritizing diversity in student admissions and faculty recruitment using conjoint analysis, a method suited for estimating attitudes on sensitive and politicized issues. The results show strong preferences in favor of applicants from disadvantaged socioeconomic backgrounds and moderate but still positive preferences for members of traditionally underrepresented racial/ethnic groups in both admissions and faculty recruitment. Midshipmen’s preferences with respect to gender are, however, less straightforward. In particular, we find a strong negative preference against gender non-binary applicants and candidates. Our findings suggest that midshipmen’s attitudes reflect both resolved and unresolved debates that resonate throughout the armed forces.

  13. New York State Election Returns, Censuses, and Religious Censuses: Merged...

    • archive.ciser.cornell.edu
    Updated Jan 2, 2020
    + more versions
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    Inter-university Consortium for Political and Social Research (2020). New York State Election Returns, Censuses, and Religious Censuses: Merged Tables 1830-1875, Town Level Data [Dataset]. http://doi.org/10.6077/h5h0-mj24
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    Dataset updated
    Jan 2, 2020
    Dataset authored and provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Area covered
    New York
    Variables measured
    GeographicUnit
    Description

    This study contains an assortment of data files relating to the electoral and demographic history of New York State. Part 1, Mortality Statistics of the Seventh Census, 1850: Place of Birth for United States Cities, contains counts of persons by place of birth for United States cities as reported in the 1850 United States Census. Place of birth is coded for states and for selected foreign countries, and percentages are also included. Part 2, Selected Tables of New York State and United States Censuses of 1835-1875: New York State Counties, contains data from the New York State Censuses of 1835, 1845, 1855, 1865, and 1875, and includes data from the United States Censuses of 1840 and 1850. The bulk of the tables concern church and synagogue membership. The tables for 1835 and 1845 include counts of persons by sex, legal male voters, alien males, not taxed Colored, taxed Colored, and taxed Colored can vote. The 1840 tables include total population, employment by industry, and military pensioners. The 1855 tables provide counts of persons by place of birth. Part 3, New York State Negro Suffrage Referenda Returns, 1846, 1860, and 1869, by Election District, contains returns for 28 election districts on the issue of Negro suffrage, with information on number of votes for, against, and total votes. Also provided are percentages of votes for and against Negro suffrage. Part 4, New York State Liquor License Referendum Returns, 1846, Town Level, contains returns from the Liquor License Referendum held in May 1846. For each town the file provides total number of votes cast, votes for, votes against, and percentage of votes for and against. The source of the data are New York State Assembly Documents, 70 Session, 1847, Document 40. Part 5, New York State Censuses of 1845, 1855, 1865, and 1875: Counts of Churches and Church Membership by Denomination, contains counts of churches, total value of church property, church seating capacity, usual number of persons attending church, and number of church members from the New York State Censuses of 1845, 1855, 1865, and 1875. Counts are by denomination at the state summary level. Part 6, New York State Election Returns, Censuses, and Religious Censuses: Merged Tables, 1830-1875, Town Level, presents town-level data for the elections of 1830, 1834, 1838, 1840, and 1842. The file also includes various summary statistics from the New York State Censuses of 1835, 1845, 1855, and 1865 with limited data from the 1840 United States Census. The data for 1835 and 1845 include male eligible voters, aliens not naturalized, non-white persons not taxed, and non-white persons taxed. The data for 1840 include population, employment by industry, and military service pensioners. The data for 1845 cover total population and number of males, place of birth, and churches. The data for 1855 and 1865 provide counts of persons by place of birth, number of dwellings, total value of dwellings, counts of persons by race and sex, number of voters by native and foreign born, and number of families. The data for 1865 also include counts of Colored not taxed and data for churches and synagogues such as number, value, seating capacity, and attendance. The data for 1875 include population, native and foreign born, counts of persons by race, by place of birth, by native, by naturalized citizens, and by alien males aged 21 and over. Part 7, New York State Election Returns, Censuses, and Religious Censuses: Merged Tables, 1844-1865, Town Level, contains town-level data for the state of New York for the elections of 1844 and 1860. It also contains data for 1850 such as counts of persons by sex and race. Data for 1855 includes counts of churches, value of churches and real estate, seating capacity, and church membership. Data for 1860 include date church was founded and source of that information. Also provided are total population counts for the years 1790, 1800, 1814, 1820, 1825, 1830, 1835, 1845, 1856, 1850, 1855, 1860, and 1865. (ICPSR 3/16/2015)

  14. Population Estimates by Age, Sex, and Race, 1900-1979

    • archive.ciser.cornell.edu
    Updated Feb 13, 2020
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    Bureau of the Census (2020). Population Estimates by Age, Sex, and Race, 1900-1979 [Dataset]. http://doi.org/10.6077/j5/ttjqlp
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    Dataset updated
    Feb 13, 2020
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    Bureau of the Census
    Variables measured
    GeographicUnit
    Description

    This data collection contains population estimates for various time periods spanning from 1900 to 1979. The data for 1900-1929 represent the resident population of the United States by single year of age (0 to 75+), race (white, nonwhite), and sex. Data for these years exclude the Armed Forces and the population residing in Alaska and Hawaii. Age 75 includes all ages from 75 up. The files for 1930-1939 represent the resident population of the United States by single year of age (0 to 75+), race (white, nonwhite), and sex. Data for these years exclude the Armed Forces and the population residing in Alaska and Hawaii. Age 75 includes all ages from 75 up. The files for 1940-1949 represent the resident population plus Armed Forces overseas of the United States by single year of age (0 to 85+), race (white, nonwhite), and sex. Data for these years exclude the the population residing in Alaska and Hawaii. Age 85 includes all ages from 85 up. The files for 1950-1959 represent the resident population plus Armed Forces overseas of the United States by single year of age (0 to 85+), race (white, nonwhite), and sex. Data for these years include the the population residing in Alaska and Hawaii. Age 85 includes all ages from 85 up. The files for 1960-1979 represent the resident population plus Armed Forces overseas of the United States by single year of age (0 to 85+), race (white, black, and other), and sex. Data for these years include the the population residing in Alaska and Hawaii. Age 85 includes all ages from 85 up.

  15. d

    Department of Veterans' Services Clients

    • catalog.data.gov
    • data.cityofnewyork.us
    • +1more
    Updated Jul 20, 2024
    + more versions
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    data.cityofnewyork.us (2024). Department of Veterans' Services Clients [Dataset]. https://catalog.data.gov/dataset/department-of-veterans-services-clients
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    Dataset updated
    Jul 20, 2024
    Dataset provided by
    data.cityofnewyork.us
    Description

    A compilation of the agency's client demographics that is collected through case management system. Each record represents a client's record handled by the DVS Direct Services. This dataset provides information on demographics such as gender, race, ethnicity, marital status, gross monthly income, military affiliation, current status, branch, discharge type, and current client address postal code. This will be updated yearly on calendar basis.

  16. U.S. military force numbers 2023, by service branch and reserve component

    • statista.com
    Updated Jan 27, 2025
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    Statista (2025). U.S. military force numbers 2023, by service branch and reserve component [Dataset]. https://www.statista.com/statistics/232330/us-military-force-numbers-by-service-branch-and-reserve-component/
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    Dataset updated
    Jan 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    The U.S. Army remains the largest branch of the American military, with 449,344 active duty personnel in 2023. While the Army leads in numbers, the newly established Space Force had just 8,879 active duty members, highlighting the evolving nature of modern warfare and the increasing importance of space-based capabilities. Confidence in military remains high Despite fluctuations in force size, public trust in the U.S. military remains strong. In 2024, 61 percent of Americans expressed a great deal or quite a lot of confidence in the armed forces, a slight increase from the previous year. While a slightly higher share of Republicans have shown more confidence in the military, trust in the institution remains high across party lines. Global commitments The United States continues to invest heavily in its military capabilities, with defense spending reaching 916.02 billion U.S. dollars in 2023. This substantial budget supports not only domestic defense needs but also enables the U.S. to respond to global crises, as evidenced by the over 40 billion euros in military aid provided to Ukraine following Russia's invasion. The high level of spending, which translates to about 2,220 U.S. dollars per capita.

  17. g

    Current Population Survey: Annual Demographic File, 1991 - Archival Version

    • search.gesis.org
    Updated May 6, 2021
    + more versions
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    United States Department of Commerce. Bureau of the Census (2021). Current Population Survey: Annual Demographic File, 1991 - Archival Version [Dataset]. http://doi.org/10.3886/ICPSR09739
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    Dataset updated
    May 6, 2021
    Dataset provided by
    GESIS search
    ICPSR - Interuniversity Consortium for Political and Social Research
    Authors
    United States Department of Commerce. Bureau of the Census
    License

    https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de445627https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de445627

    Description

    Abstract (en): This data collection supplies standard monthly labor force data and also provides supplemental data on work experience, income, noncash benefits, and migration. Comprehensive information is given on the employment status, occupation, and industry of persons 15 years old and older. Additional data are available concerning weeks worked and hours per week worked, reason not working full time, total income and income components, and residence on March 1, 1990. This file also contains data covering nine noncash income sources: food stamps, school lunch programs, employer-provided group health insurance plans, employer-provided pension plans, personal health insurance, Medicaid, Medicare, CHAMPUS or military health care, and energy assistance. Information on demographic characteristics, such as age, sex, race, household relationship, and Spanish origin, are available for each person in the household enumerated. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Standardized missing values.. Civilian noninstitutional population of the United States living in housing units and male members of the Armed Forces living in civilian housing units on military bases or in households not on military bases. A national probability sample was used in selecting housing units. About 57,000 housing units were contacted with an additional sample of 2,500 Spanish households added to the March survey sample. The sample was located in 729 sample areas comprising 1,973 counties and independent cities with coverage in every state and in the District of Columbia. The 300,012 cases in this hierarchical file include household-level, family-level, and person-level records. There are approximately 120 variables for the household records, approximately 65 variables for the family records, and approximately 350 variables for the person records. Data on employment and income refer to the preceding year, although demographic data refer to the time of the survey.

  18. d

    Replication Data for: Segregation, Integration, and Death: Evidence from the...

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 20, 2023
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    Huff, Connor; Schub, Robert (2023). Replication Data for: Segregation, Integration, and Death: Evidence from the Korean War [Dataset]. http://doi.org/10.7910/DVN/SVMFIQ
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    Dataset updated
    Nov 20, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Huff, Connor; Schub, Robert
    Description

    How does the design of military institutions affect who bears the costs of war? We answer this question by studying the transformative shift from segregated to integrated US military units during the Korean War. Combining new micro-level data on combat fatalities with archival data on the deployment and racial composition of military battalions, we show that Black and white soldiers died at similar rates under segregation. Qualitative and quantitative evidence provides one potential explanation for this counter-intuitive null finding: acute battlefield concerns necessitated deploying military units wherever soldiers were needed, regardless of their race. We next argue that the mid-war racial integration of units, which tied the fates of soldiers more closely together, should not alter the relative fatality rates. The evidence is consistent with this expectation. We finally demonstrate that, while aggregate fatality rates were equal across races, segregation enabled short-term casualty discrepancies. Under segregation there were high casualty periods for white units followed by high casualty periods for Black units. Integration eliminated this variability. The research note highlights how enshrining segregationist policies within militaries creates permissive conditions for either commander’s choices, or the dictates and variability of conflict, to shape who bears war’s costs.

  19. f

    Incidence rates of colorectal cancer by race in the U.S. active-duty...

    • figshare.com
    xls
    Updated Jun 10, 2023
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    Julie A. Bytnar; Craig D. Shriver; Kangmin Zhu (2023). Incidence rates of colorectal cancer by race in the U.S. active-duty military and U.S. general population, ages 20–59, 1990–2013. [Dataset]. http://doi.org/10.1371/journal.pone.0257087.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 10, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Julie A. Bytnar; Craig D. Shriver; Kangmin Zhu
    License

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

    Area covered
    United States
    Description

    Incidence rates of colorectal cancer by race in the U.S. active-duty military and U.S. general population, ages 20–59, 1990–2013.

  20. T

    Current Iowa Correctional System Population

    • data.iowa.gov
    • mydata.iowa.gov
    application/rdfxml +5
    Updated Aug 2, 2025
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    Iowa Department of Corrections (2025). Current Iowa Correctional System Population [Dataset]. https://data.iowa.gov/Correctional-System/Current-Iowa-Correctional-System-Population/xnse-vgvf
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    json, application/rssxml, csv, xml, tsv, application/rdfxmlAvailable download formats
    Dataset updated
    Aug 2, 2025
    Dataset authored and provided by
    Iowa Department of Corrections
    License

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

    Area covered
    Iowa
    Description

    This query presents individuals who are actively supervised in Iowa's correctional system - within institutions, community based corrections, or other. Generally, "other" would include individuals who are serving time somewhere else, such as another state or federal prison. In some instances, they may be sentenced to prison, but are awaiting transfer and are still in jail or a medical facility. It also provides demographic information (sex, race and ethnic origin) for the individual, the individual's current age, their highest educational level, whether they are an English speaker, whether they had previously served in the U.S. Military, the primary region they are supervised by, and their current primary supervision status.

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Statista (2025). U.S. distribution of race and ethnicity among the military 2019 [Dataset]. https://www.statista.com/statistics/214869/share-of-active-duty-enlisted-women-and-men-in-the-us-military/
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U.S. distribution of race and ethnicity among the military 2019

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21 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jan 24, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

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.

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