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

    • statista.com
    Updated Nov 28, 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
    Nov 28, 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 Nov 28, 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
    Nov 28, 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. 🇺🇸 US Military Demographics

    • kaggle.com
    zip
    Updated Aug 14, 2023
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    mexwell (2023). 🇺🇸 US Military Demographics [Dataset]. https://www.kaggle.com/datasets/mexwell/us-military-demographics
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    zip(3574605 bytes)Available download formats
    Dataset updated
    Aug 14, 2023
    Authors
    mexwell
    Description

    This dataset contains demographic information on every member of the US armed forces including gender, race, and rank.

    Acknowlegement

    Original Data

    Foto von israel palacio auf Unsplash

  4. 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.

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

    • statista.com
    Updated Nov 28, 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
    Nov 28, 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.

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

    • statista.com
    Updated Feb 15, 2022
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    Statista (2022). 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
    Feb 15, 2022
    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.

  7. Data from: Veteran Employment Outcomes

    • kaggle.com
    zip
    Updated Nov 11, 2021
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    Marília Prata (2021). Veteran Employment Outcomes [Dataset]. https://www.kaggle.com/mpwolke/cusersmarildownloadsvetcsv
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    zip(1311 bytes)Available download formats
    Dataset updated
    Nov 11, 2021
    Authors
    Marília Prata
    Description

    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.

  8. c

    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 authored and provided by
    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.

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

    • statista.com
    Updated Jul 15, 2020
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    Statista (2020). 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
    Jul 15, 2020
    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.

  10. T

    Demographic Characteristics of Veterans Who Separated in 2011 and 2017

    • data.va.gov
    • datahub.va.gov
    • +1more
    csv, xlsx, xml
    Updated Nov 3, 2020
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    (2020). Demographic Characteristics of Veterans Who Separated in 2011 and 2017 [Dataset]. https://www.data.va.gov/dataset/Demographic-Characteristics-of-Veterans-Who-Separa/c6pc-frdg
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    xlsx, csv, xmlAvailable download formats
    Dataset updated
    Nov 3, 2020
    Description

    This data table provides a brief demographic profile of Veterans who separated from the military at two points in time: 2011 and 2017. It contains distributions on age, sex, race/ethnicity, and military component

  11. 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.

  12. p

    Trends in Two or More Races Student Percentage (2014-2023): New Orleans...

    • publicschoolreview.com
    + more versions
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    Public School Review, Trends in Two or More Races Student Percentage (2014-2023): New Orleans Military & Maritime Academy vs. Louisiana vs. New Orleans Military & Maritime Academy School District [Dataset]. https://www.publicschoolreview.com/new-orleans-military-maritime-academy-profile
    Explore at:
    Dataset authored and provided by
    Public School Review
    License

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

    Area covered
    Louisiana, New Orleans
    Description

    This dataset tracks annual two or more races student percentage from 2014 to 2023 for New Orleans Military & Maritime Academy vs. Louisiana and New Orleans Military & Maritime Academy School District

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

    • icpsr.umich.edu
    ascii, sas, spss
    Updated May 4, 2007
    + more versions
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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.

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

    • statista.com
    Updated Nov 19, 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
    Nov 19, 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.

  15. S

    2017 San Diego County Demographics - Veterans: Race and Ethnicity

    • splitgraph.com
    • data.sandiegocounty.gov
    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://www.splitgraph.com/internal-sandiegocounty-data-socrata/2017-san-diego-county-demographics-veterans-race-8yxw-365r/
    Explore at:
    json, application/vnd.splitgraph.image, application/openapi+jsonAvailable 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.

    Splitgraph serves as an HTTP API that lets you run SQL queries directly on this data to power Web applications. For example:

    See the Splitgraph documentation for more information.

  16. Population Estimates: National Monthly Population Estimates

    • catalog.data.gov
    Updated Jul 19, 2023
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    U.S. Census Bureau (2023). Population Estimates: National Monthly Population Estimates [Dataset]. https://catalog.data.gov/dataset/population-estimates-national-monthly-population-estimates
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    Dataset updated
    Jul 19, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    Monthly Population Estimates by Universe, Age, Sex, Race, and Hispanic Origin for the United States: April 1, 2010 to December 1, 2020 // Source: U.S. Census Bureau, Population Division // Note: 'In combination' means in combination with one or more other races. The sum of the five race-in-combination groups adds to more than the total population because individuals may report more than one race. Hispanic origin is considered an ethnicity, not a race. Hispanics may be of any race. Responses of 'Some Other Race' from the 2010 Census are modified. This results in differences between the population for specific race categories shown for the 2010 Census population in this file versus those in the original 2010 Census data. // The estimates are based on the 2010 Census and reflect changes to the April 1, 2010 population due to the Count Question Resolution program and geographic program revisions. // Persons on active duty in the Armed Forces were not enumerated in the 2010 Census. Therefore, variables for the 2010 Census civilian, civilian noninstitutionalized, and resident population plus Armed Forces overseas populations cannot be derived and are not available on this file. // Current data on births, deaths, and migration are used to calculate population change since the 2010 Census. A time series of estimates is produced, beginning with the census. The reference date for all estimates is the first of the month. With each new issue of estimates, the entire estimates series is revised. Additional information, including historical and intercensal estimates, evaluation estimates, demographic analysis, research papers, and methodology is available on website: https://www.census.gov/programs-surveys/popest.html.

  17. Vintage 2017 Population Estimates: National Monthly Population Estimates

    • catalog.data.gov
    Updated Jul 19, 2023
    + more versions
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    U.S. Census Bureau (2023). Vintage 2017 Population Estimates: National Monthly Population Estimates [Dataset]. https://catalog.data.gov/dataset/vintage-2017-population-estimates-national-monthly-population-estimates
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    Dataset updated
    Jul 19, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    Monthly Population Estimates by Universe, Age, Sex, Race, and Hispanic Origin for the United States: April 1, 2010 to December 1, 2017 // Source: U.S. Census Bureau, Population Division // The contents of this file are released on a rolling basis from December through June. // Note: 'In combination' means in combination with one or more other races. The sum of the five race-in-combination groups adds to more than the total population because individuals may report more than one race. Hispanic origin is considered an ethnicity, not a race. Hispanics may be of any race. Responses of 'Some Other Race' from the 2010 Census are modified. This results in differences between the population for specific race categories shown for the 2010 Census population in this file versus those in the original 2010 Census data. For more information, see https://www2.census.gov/programs-surveys/popest/technical-documentation/methodology/modified-race-summary-file-method/mrsf2010.pdf. // The estimates are based on the 2010 Census and reflect changes to the April 1, 2010 population due to the Count Question Resolution program and geographic program revisions. // Persons on active duty in the Armed Forces were not enumerated in the 2010 Census. Therefore, variables for the 2010 Census civilian, civilian noninstitutionalized, and resident population plus Armed Forces overseas populations cannot be derived and are not available on these files. // For detailed information about the methods used to create the population estimates, see https://www.census.gov/programs-surveys/popest/technical-documentation/methodology.html. // Each year, the Census Bureau's Population Estimates Program (PEP) utilizes current data on births, deaths, and migration to calculate population change since the most recent decennial census, and produces a time series of estimates of population. The annual time series of estimates begins with the most recent decennial census data and extends to the vintage year. The vintage year (e.g., V2017) refers to the final year of the time series. The reference date for all estimates is July 1, unless otherwise specified. With each new issue of estimates, the Census Bureau revises estimates for years back to the last census. As each vintage of estimates includes all years since the most recent decennial census, the latest vintage of data available supersedes all previously produced estimates for those dates. The Population Estimates Program provides additional information including historical and intercensal estimates, evaluation estimates, demographic analysis, and research papers on its website: https://www.census.gov/programs-surveys/popest.html.

  18. a

    Canada's Military and Veteran Population by Age, Hamilton CMA, 2023

    • hamiltondatacatalog-mcmaster.hub.arcgis.com
    Updated Jul 12, 2024
    + more versions
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    koke_McMaster (2024). Canada's Military and Veteran Population by Age, Hamilton CMA, 2023 [Dataset]. https://hamiltondatacatalog-mcmaster.hub.arcgis.com/items/0865b00000614b9cae8b3bf6c1eae188
    Explore at:
    Dataset updated
    Jul 12, 2024
    Dataset authored and provided by
    koke_McMaster
    Area covered
    Canada, Hamilton
    Description

    Demographic characteristics of Canada's military and veteran population: Canada, provinces and territories, census metropolitan areas and census agglomerations with partsFrequency: OccasionalTable: 98-10-0142-01Release date: 2023-11-15Geography: Canada, Province or territory, Census metropolitan area, Census agglomeration, Census metropolitan area part, Census agglomeration partUniverse: Population aged 17 and over in private households, 2021 Census — 25% Sample dataVariable List: Visible minority (15), Religion (25), Generation status (4), Age (10B), Gender (3), Statistics (3), Military service status (4A)Footnotes: 1 Religion Religion refers to the person's self-identification as having a connection or affiliation with any religious denomination, group, body, or other religiously defined community or system of belief. Religion is not limited to formal membership in a religious organization or group. For infants or children, religion refers to the specific religious group or denomination in which they are being raised, if any. Persons without a religious connection or affiliation can self-identify as atheist, agnostic or humanist, or can provide another applicable response. 2 Generation status Generation status refers to whether or not the person or the person's parents were born in Canada. 3 Age 'Age' refers to the age of a person (or subject) of interest at last birthday (or relative to a specified, well-defined reference date). 4 Gender Gender refers to an individual's personal and social identity as a man, woman or non-binary person (a person who is not exclusively a man or a woman). Gender includes the following concepts: gender identity, which refers to the gender that a person feels internally and individually; gender expression, which refers to the way a person presents their gender, regardless of their gender identity, through body language, aesthetic choices or accessories (e.g., clothes, hairstyle and makeup), which may have traditionally been associated with a specific gender. A person's gender may differ from their sex at birth, and from what is indicated on their current identification or legal documents such as their birth certificate, passport or driver's licence. A person's gender may change over time. Some people may not identify with a specific gender. 5 Given that the non-binary population is small, data aggregation to a two-category gender variable is sometimes necessary to protect the confidentiality of responses provided. In these cases, individuals in the category “non-binary persons” are distributed into the other two gender categories and are denoted by the “+” symbol. 6 Visible minority Visible minority refers to whether a person is a visible minority or not, as defined by the Employment Equity Act. The Employment Equity Act defines visible minorities as persons other than Aboriginal peoples who are non-Caucasian in race or non-white in colour." The visible minority population consists mainly of the following groups: South Asian Chinese Black Filipino Arab Latin American Southeast Asian West Asian Korean and Japanese." 7 Military service status Military service status refers to whether or not the person is currently serving or has previously served in the Canadian military. Military service status is asked of all Canadians aged 17 and older. For the purposes of the 2021 Census, Canadian military service includes service with the Regular Force or Primary Reserve Force as an Officer or Non-Commissioned Member. It does not include service with the Cadets, Cadet Organizations Administration and Training Service (COATS) instructors or the Canadian Rangers. 8 For more information on religion variables, including information on their classifications, the questions from which they are derived, data quality and their comparability with other sources of data, please refer to the Religion Reference Guide, Census of Population, 2021. 9 For more information on generation status variables, including information on their classifications, the questions from which they are derived, data quality and their comparability with other sources of data, please refer to the Place of Birth, Generation Status, Citizenship and Immigration Reference Guide, Census of Population, 2021. 10 Visible minority" refers to whether a person is a visible minority or not as defined by the Employment Equity Act. The Employment Equity Act defines visible minorities as "persons other than Aboriginal peoples who are non-Caucasian in race or non-white in colour." The visible minority population consists mainly of the following groups: South Asian Chinese Black Filipino Arab Latin American Southeast Asian West Asian Korean and Japanese. In 2021 Census analytical and communications products the term "visible minority" has been replaced by the terms "racialized population" or "racialized groups" reflecting the increased use of these terms in the public sphere."11 For more information on visible minority and population group variables, including information on their classifications, the questions from which they are derived, data quality and their comparability with other sources of data, please refer to the Visible Minority and Population Group Reference Guide, Census of Population, 2021. 12 For more information on the military service status variable, including data quality and comparability with other sources of data, please refer to the Canadian Military Experience Reference Guide, Census of Population, 2021.

  19. d

    Vintage 2018 Population Estimates: National Monthly Population Estimates

    • datasets.ai
    • catalog.data.gov
    2
    Updated Jul 15, 2022
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    Department of Commerce (2022). Vintage 2018 Population Estimates: National Monthly Population Estimates [Dataset]. https://datasets.ai/datasets/vintage-2018-population-estimates-national-monthly-population-estimates
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    2Available download formats
    Dataset updated
    Jul 15, 2022
    Dataset authored and provided by
    Department of Commerce
    Description

    Monthly Population Estimates by Universe, Age, Sex, Race, and Hispanic Origin for the United States: April 1, 2010 to December 1, 2018 // Source: U.S. Census Bureau, Population Division // The contents of this file are released on a rolling basis from December through June. // Note: 'In combination' means in combination with one or more other races. The sum of the five race-in-combination groups adds to more than the total population because individuals may report more than one race. Hispanic origin is considered an ethnicity, not a race. Hispanics may be of any race. Responses of 'Some Other Race' from the 2010 Census are modified. This results in differences between the population for specific race categories shown for the 2010 Census population in this file versus those in the original 2010 Census data. For more information, see https://www2.census.gov/programs-surveys/popest/technical-documentation/methodology/modified-race-summary-file-method/mrsf2010.pdf. // The estimates are based on the 2010 Census and reflect changes to the April 1, 2010 population due to the Count Question Resolution program and geographic program revisions. // Persons on active duty in the Armed Forces were not enumerated in the 2010 Census. Therefore, variables for the 2010 Census civilian, civilian noninstitutionalized, and resident population plus Armed Forces overseas populations cannot be derived and are not available on these files. // For detailed information about the methods used to create the population estimates, see https://www.census.gov/programs-surveys/popest/technical-documentation/methodology.html. // Each year, the Census Bureau's Population Estimates Program (PEP) utilizes current data on births, deaths, and migration to calculate population change since the most recent decennial census, and produces a time series of estimates of population. The annual time series of estimates begins with the most recent decennial census data and extends to the vintage year. The vintage year (e.g., V2017) refers to the final year of the time series. The reference date for all estimates is July 1, unless otherwise specified. With each new issue of estimates, the Census Bureau revises estimates for years back to the last census. As each vintage of estimates includes all years since the most recent decennial census, the latest vintage of data available supersedes all previously produced estimates for those dates. The Population Estimates Program provides additional information including historical and intercensal estimates, evaluation estimates, demographic analysis, and research papers on its website: https://www.census.gov/programs-surveys/popest.html.

  20. Current Population Survey: Annual Demographic File, 2000

    • icpsr.umich.edu
    • explore.openaire.eu
    ascii, sas, spss
    Updated Nov 2, 2001
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    United States. Bureau of the Census (2001). Current Population Survey: Annual Demographic File, 2000 [Dataset]. http://doi.org/10.3886/ICPSR03048.v1
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    sas, spss, asciiAvailable download formats
    Dataset updated
    Nov 2, 2001
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States. Bureau of the Census
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/3048/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/3048/terms

    Time period covered
    Mar 1999 - Mar 2000
    Area covered
    United States
    Description

    This data collection supplies standard monthly labor force data as well as 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, 2000. This file also contains data covering noncash income sources such as 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 relationships, and Hispanic origin, is available for each person in the household enumerated.

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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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20 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Nov 28, 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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