100+ 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. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. O

    2016 San Diego County Demographics - Veterans: Race and Ethnicity, by City

    • data.sandiegocounty.gov
    application/rdfxml +5
    Updated May 13, 2019
    + more versions
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    (2019). 2016 San Diego County Demographics - Veterans: Race and Ethnicity, by City [Dataset]. https://data.sandiegocounty.gov/w/8ezs-kx46/by4r-nr9x?cur=S56Vrp9VYBJ
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    json, application/rssxml, csv, tsv, application/rdfxml, xmlAvailable download formats
    Dataset updated
    May 13, 2019
    Area covered
    San Diego County
    Description

    Veterans by largest Race and Ethnicity categories, by City. Veterans: Civilians who have served (even for a short time), but are not currently serving, on active duty in the U.S. Army, Navy, Air Force, Marine Corps, or the Coast Guard, or who served in the U.S. Merchant Marine during World War II. People who served in the National Guard or Reserves are classified as veterans only if they were ever called or ordered to active duty. Source: U.S. Census Bureau; 2012-2016 American Community Survey 5-Year Estimates, Table S2101.

  9. 2020 Economic Surveys: AB2000NESD01 | Nonemployer Statistics by Demographics...

    • data.census.gov
    Updated Feb 8, 2024
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    ECN (2024). 2020 Economic Surveys: AB2000NESD01 | Nonemployer Statistics by Demographics series (NES-D): Statistics for Employer and Nonemployer Firms by Industry, Sex, Ethnicity, Race, and Veteran Status for the U.S., States, and Metro Areas: 2020 (ECNSVY Nonemployer Statistics by Demographics Company Summary) [Dataset]. https://data.census.gov/table/ABSNESD2020.AB2000NESD01?q=Alexander+Virginia+D
    Explore at:
    Dataset updated
    Feb 8, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ECN
    License

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

    Time period covered
    2020
    Area covered
    United States
    Description

    Release Date: 2024-02-08.The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (2020 NES-D Project No. 7504866, Disclosure Review Board (DRB) approval number: CBDRB-FY24-0051; 2021 ABS approval number: CBDRB-FY23-0479)...Key Table Information:.Data in this table combines estimates from the Annual Business Survey (employer firms) and the Nonemployer Statistics by Demographics (nonemployer firms)...Includes U.S. firms with no paid employment or payroll, annual receipts of $1,000 or more ($1 or more in the construction industries) and filing Internal Revenue Service (IRS) tax forms for sole proprietorships (Form 1040, Schedule C), partnerships (Form 1065), or corporations (the Form 1120 series)...Includes U.S. employer firms estimates of business ownership by sex, ethnicity, race, and veteran status from the 2021 Annual Business Survey (ABS) collection. Data are also obtained from administrative records, the 2017 Economic Census, and other economic surveys...Note: For employer data only, the collection year is the year in which the data are collected. A reference year is the year that is referenced in the questions on the survey and in which the statistics are tabulated. For example, the 2021 ABS collection year produces statistics for the 2020 reference year. The "Year" column in the table is the reference year...Data Items and Other Identifying Records:.Data include estimates on:.Total number of employer and nonemployer firms. Total sales and receipts of employer and nonemployer firms (reported in $1,000 of dollars). Number of employer firms (firms with paid employees). Sales and receipts of employer firms (reported in $1,000s of dollars). Number of employees (during the March 12 pay period). Annual payroll of employer firms (reported in $1,000s of dollars). Number of nonemployer firms (firms without paid employees). Sales and receipts of nonemployer firms (reported in $1,000s of dollars)...These data are aggregated by the following demographic classifications of firm for:.All firms. Classifiable (firms classifiable by sex, ethnicity, race, and veteran status). . Sex. Female. Male. Equally male/female (50% / 50%). . Ethnicity. Hispanic. Equally Hispanic/non-Hispanic (50% / 50%). Non-Hispanic. . Race. White. Black or African American. American Indian and Alaska Native. Asian. Native Hawaiian and Other Pacific Islander. Minority (Firms classified as any race and ethnicity combination other than non-Hispanic and White). Equally minority/nonminority (50% / 50%). Nonminority (Firms classified as non-Hispanic and White). . Veteran Status (defined as having served in any branch of the U.S. Armed Forces). Veteran. Equally veteran/nonveteran (50% / 50%). Nonveteran. . . . Unclassifiable (firms not classifiable by sex, ethnicity, race, and veteran status). ...Data Notes:.. Business ownership is defined as having 51 percent or more of the stock or equity in the business. Data are provided for firms owned equally (50% / 50%) by men and women, by Hispanics and non-Hispanics, by minorities and nonminorities, and by veterans and nonveterans. Firms not classifiable by sex, ethnicity, race, and veteran status are counted and tabulated separately.. The detail may not add to the total or subtotal because a Hispanic firm may be of any race; because a firm could be tabulated in more than one racial group; or because the number of nonemployer firm's data are rounded.. Nonemployer data do not have standard error or relative standard error columns as these data are from the universe of nonemployer firms, not from a data sample....Industry and Geography Coverage:.Data are shown for the total for all sectors (00) and the 2-digit NAICS levels for the U.S., states and District of Columbia, and metro areas. Data are shown for the 3-digit and 4-digit NAICS for U.S. only. Nonemployer data are excluded for the following NAICS industries:.Crop and Animal Production (NAICS 111 and 112). Rail Transportation (NAICS 482). Postal Service (NAICS 491). Monetary Authorities-Central Bank (NAICS 521). Funds, Trusts, and Other Financial Vehicles (NAICS 525). Management of Companies and Enterprises (NAICS 55). Private Households (NAICS 814). Public Administration (NAICS 92). Industries Not Classified (NAICS 99)...For more information about NAICS, see NAICS Codes & Understanding Industry Classification Systems. For information about geographies used by economic programs at the Census Bureau, see Economic Census: Economic Geographies...Employer Data Footnotes:.Footnote 660 - Agriculture, forestry, fishing and hunting (Sector 11): Crop and Animal Production (NAICS 111 and ...

  10. 2021 Economic Surveys: AB2100NESD05 | Nonemployer Statistics by Demographics...

    • data.census.gov
    Updated Aug 8, 2024
    + more versions
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    ECN (2024). 2021 Economic Surveys: AB2100NESD05 | Nonemployer Statistics by Demographics series (NES-D): Urban and Rural Classification of Employer and Nonemployer Firms by Industry, Sex, Ethnicity, Race, and Veteran Status for the U.S., States, Metro Areas, and Counties: 2021 (ECNSVY Nonemployer Statistics by Demographics Company Summary) [Dataset]. https://data.census.gov/table/ABSNESD2021.AB2100NESD05?q=Butler+Brett+D
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    Dataset updated
    Aug 8, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ECN
    License

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

    Time period covered
    2021
    Area covered
    United States
    Description

    Release Date: 2024-08-08.The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (Project No. 7504866, Disclosure Review Board (DRB) approval number: 2021 NES-D approval number: CBDRB-FY24-0307; 2022 ABS approval number: CBDRB-FY23-0479)...Key Table Information:.Data in this table combines estimates from the Annual Business Survey (employer firms) and the Nonemployer Statistics by Demographics (nonemployer firms)...Includes U.S. firms with no paid employment or payroll, annual receipts of $1,000 or more ($1 or more in the construction industries) and filing Internal Revenue Service (IRS) tax forms for sole proprietorships (Form 1040, Schedule C), partnerships (Form 1065), or corporations (the Form 1120 series)...Includes U.S. employer firms estimates of business ownership by sex, ethnicity, race, and veteran status from the 2022 Annual Business Survey (ABS) collection. Data are also obtained from administrative records, the 2017 Economic Census, and other economic surveys...Note: For employer data only, the collection year is the year in which the data are collected. A reference year is the year that is referenced in the questions on the survey and in which the statistics are tabulated. For example, the 2022 ABS collection year produces statistics for the 2021 reference year. The "Year" column in the table is the reference year...Data Items and Other Identifying Records:.Data include estimates on:.Total number of employer and nonemployer firms. Total sales and receipts of employer and nonemployer firms (reported in $1,000 of dollars). Number of nonemployer firms (firms without paid employees). Sales and receipts of nonemployer firms (reported in $1,000s of dollars). Number of employer firms (firms with paid employees). Sales and receipts of employer firms (reported in $1,000s of dollars). Number of employees (during the March 12 pay period). Annual payroll of employer firms (reported in $1,000s of dollars)...These data are aggregated by the following demographic classifications of firm for:.All firms. Classifiable (firms classifiable by sex, ethnicity, race, and veteran status). . Sex. Female. Male. Equally male/female (50% / 50%). . Ethnicity. Hispanic. Equally Hispanic/non-Hispanic (50% / 50%). Non-Hispanic. . Race. White. Black or African American. American Indian and Alaska Native. Asian. Native Hawaiian and Other Pacific Islander. Minority (Firms classified as any race and ethnicity combination other than non-Hispanic and White). Equally minority/nonminority (50% / 50%). Nonminority (Firms classified as non-Hispanic and White). . Veteran Status (defined as having served in any branch of the U.S. Armed Forces). Veteran. Equally veteran/nonveteran (50% / 50%). Nonveteran. . . . Unclassifiable (firms not classifiable by sex, ethnicity, race, and veteran status). ...The data are also shown for the urban or rural classification of the firm:. Urban. Rural. Not classified...Data Notes:.. Business ownership is defined as having 51 percent or more of the stock or equity in the business. Data are provided for firms owned equally (50% / 50%) by men and women, by Hispanics and non-Hispanics, by minorities and nonminorities, and by veterans and nonveterans. Firms not classifiable by sex, ethnicity, race, and veteran status are counted and tabulated separately.. The detail may not add to the total or subtotal because a Hispanic firm may be of any race; because a firm could be tabulated in more than one racial group; or because the number of nonemployer firm's data are rounded.. Nonemployer data do not have standard error or relative standard error columns as these data are from the universe of nonemployer firms, not from a data sample.. Firms are classified as urban or rural based on the population of the Census block of its physical location or mailing address. Firms without an assigned Census block are designated as "Not classified". Firms with a physical location or mailing address on a Census block with at least 2,000 housing units, or have a population of at least 5,000 are classified as "Urban". All other firms are classified as "Rural"....Industry and Geography Coverage:.The data are shown for the total for all sectors (00) and 2-digit NAICS code levels for:..United States. States and the District of Columbia. Metropolitan Statistical Areas. County...Data are also shown for the 3- and 4-digit NAICS code for:..United States...Data are excluded for the following NAICS industries:.Crop and Animal Production (NAICS 111 and 112). Rail Transportation (NAICS 482). Postal Service (NAICS 491). Monetary Authorities-Central Ba...

  11. 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.

  12. Vintage 2016 Population Estimates: National Monthly Population Estimates

    • catalog.data.gov
    Updated Jul 19, 2023
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    U.S. Census Bureau (2023). Vintage 2016 Population Estimates: National Monthly Population Estimates [Dataset]. https://catalog.data.gov/dataset/vintage-2016-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, 2016 // 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., V2015) 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.

  13. 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.

  14. c

    American Soldier in World War II, 1942-1945

    • archive.ciser.cornell.edu
    Updated Dec 31, 2019
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    Information and Education Division (2019). American Soldier in World War II, 1942-1945 [Dataset]. http://doi.org/10.6077/6q4x-dx14
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    Dataset updated
    Dec 31, 2019
    Dataset authored and provided by
    Information and Education Division
    Area covered
    World, United States
    Variables measured
    Individual
    Description

    The series contains information on soldiers' attitudes toward job assignments, medical care, food quality, leisure time activities, opportunities to advance in the Army, women in the military, and race relations, among other subjects. Most surveys contain information on the respondent's age, education, marital status, home town, religious affiliation, pre-military occupation, rank, branch of service, time in the service, and job assignment. The surveys include: Survey Responses of Army Nurses and WACs [Women's Army Corps] About Treatment of Women in the Army; Survey Responses of Enlisted Men About Race Relations in the Army; Survey Responses of Enlisted Men About Attitudes Toward Civilians; Responses of Patients to Surveys on Hospital and Medical Care; Responses to Psychometric Screening and Evaluation Surveys; Responses to Surveys on Leisure Time Activities; Responses of Enlisted Combat Veterans to Surveys on Training and Combat Conditions; Responses of Enlisted Men to General Attitudinal Surveys; Responses of Combat Infantry Officers to a General Attitudinal Survey; Responses of Officers to General Attitudinal Surveys; Responses of Army Air Force Personnel to Surveys on Training and Combat Conditions; Responses of Negro and White Soldiers to Surveys about the Post-War World; Responses to Attitudinal Surveys About Assignments, Reassignments, and Demobilization; Responses to Enlisted Men to Surveys on Training, Supplies, and Equipment; and Responses to Attitudes Intensity Surveys.

  15. Census of Population, 1980 [United States]: Journey-to-Work

    • icpsr.umich.edu
    ascii, sas, spss +1
    Updated Dec 10, 2009
    + more versions
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    United States. Bureau of the Census (2009). Census of Population, 1980 [United States]: Journey-to-Work [Dataset]. http://doi.org/10.3886/ICPSR08465.v2
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    ascii, stata, sas, spssAvailable download formats
    Dataset updated
    Dec 10, 2009
    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/8465/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/8465/terms

    Time period covered
    1980
    Area covered
    United States
    Description

    Summary statistics on travel to work are contained in this data file. For each geographic area described in the file, information is provided on location of residences, location of workplaces, demographics, and employment of the work force. Included are data on the occupation, industry, and earnings of workers, plus data on means of transportation, travel time, and workers with public transportation disabilities. Demographic information includes the age, race, sex, civilian/armed forces, and Spanish origin composition of the work force.

  16. 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.

  17. H

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

    • dataverse.harvard.edu
    Updated Jun 16, 2022
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    John Polga-Hecimovich; John M. Carey; Yusaku Horiuchi (2022). 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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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 16, 2022
    Dataset provided by
    Harvard Dataverse
    Authors
    John Polga-Hecimovich; John M. Carey; Yusaku Horiuchi
    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.

  18. 2020 Economic Surveys: AB2000NESD03 | Nonemployer Statistics by Demographics...

    • data.census.gov
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    ECN, 2020 Economic Surveys: AB2000NESD03 | Nonemployer Statistics by Demographics series (NES-D): Legal Form of Organization Statistics for Nonemployer Firms by Industry, Sex, Ethnicity, Race, Veteran Status for the U.S., States, and Metro Areas: 2020 (ECNSVY Nonemployer Statistics by Demographics Company Summary) [Dataset]. https://data.census.gov/table/ABSNESD2020.AB2000NESD03?q=Raw%20Construction
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    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ECN
    License

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

    Time period covered
    2020
    Area covered
    United States
    Description

    Release Date: 2024-02-08.The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (2020 NES-D Project No. 7504866, Disclosure Review Board (DRB) approval number: CBDRB-FY24-0051)...Key Table Information:.Includes U.S. firms with no paid employment or payroll, annual receipts of $1,000 or more ($1 or more in the construction industries) and filing Internal Revenue Service (IRS) tax forms for sole proprietorships (Form 1040, Schedule C), partnerships (Form 1065), or corporations (the Form 1120 series)...Data Items and Other Identifying Records:.Data include estimates on:.Number of nonemployer firms (firms without paid employees). Sales and receipts of nonemployer firms (reported in $1,000s of dollars)...These data are aggregated by the following demographic classifications of firm for:.All firms. Classifiable (firms classifiable by sex, ethnicity, race, and veteran status). . Sex. Female. Male. Equally male/female (50% / 50%). . Ethnicity. Hispanic. Equally Hispanic/non-Hispanic (50% / 50%). Non-Hispanic. . Race. White. Black or African American. American Indian and Alaska Native. Asian. Native Hawaiian and Other Pacific Islander. Minority (Firms classified as any race and ethnicity combination other than non-Hispanic and White). Equally minority/nonminority (50% / 50%). Nonminority (Firms classified as non-Hispanic and White). . Veteran Status (defined as having served in any branch of the U.S. Armed Forces). Veteran. Equally veteran/nonveteran (50% / 50%). Nonveteran. . . . Unclassifiable (firms not classifiable by sex, ethnicity, race, and veteran status). ...The data are also shown by the following legal form of organization (LFO) categories:. S-Corporations. C-Corporations. Individual proprietorships. Partnerships...Data Notes:.. Business ownership is defined as having 51 percent or more of the stock or equity in the business. Data are provided for firms owned equally (50% / 50%) by men and women, by Hispanics and non-Hispanics, by minorities and nonminorities, and by veterans and nonveterans. Firms not classifiable by sex, ethnicity, race, and veteran status are counted and tabulated separately.. The detail may not add to the total or subtotal because a Hispanic firm may be of any race; because a firm could be tabulated in more than one racial group; or because the number of nonemployer firm's data are rounded.. For C-corporations, there is no tax form or business registry that clearly and unequivocally identifies all owners of this type of business. For this reason, the Census Bureau is unable to assign demographic characteristics for C-corporations. Data for C-corporations are included in the published tables but are not shown by the demographic characteristics of the firms....Industry and Geography Coverage:.The data are shown for the total for all sectors (00) and 2-digit NAICS code levels for:..United States. States and the District of Columbia. Metropolitan Statistical Areas...Data are also shown for the 3- and 4-digit NAICS code for:..United States...Data are excluded for the following NAICS industries:.Crop and Animal Production (NAICS 111 and 112). Rail Transportation (NAICS 482). Postal Service (NAICS 491). Monetary Authorities-Central Bank (NAICS 521). Funds, Trusts, and Other Financial Vehicles (NAICS 525). Management of Companies and Enterprises (NAICS 55). Private Households (NAICS 814). Public Administration (NAICS 92). Industries Not Classified (NAICS 99)...For more information about NAICS, see NAICS Codes & Understanding Industry Classification Systems. For information about geographies used by economic programs at the Census Bureau, see Economic Census: Economic Geographies...FTP Download:.Download the entire table at: https://www2.census.gov/programs-surveys/abs/data/2020/AB2000NESD03.zip...API Information:.Nonemployer Demographic Statistics data are housed in the Census Bureau API. For more information, see https://api.census.gov/data/2020/absnesd.html...Symbols:. D - Withheld to avoid disclosing data for individual companies; data are included in higher level totals. S - Estimate does not meet publication standards because of high sampling variability, poor response quality, or other concerns about the estimate quality. Unpublished estimates derived from this table by subtraction are subject to these same limitations and should not be attributed to the U.S. Census Bureau. For a description of publication standards and the total quantity response rate, see link to program methodology page.. N - Not available or not comparable. X - Not applicable..The following symbols are used to identify the...

  19. Vintage 2018 Population Estimates: National Monthly Population Estimates

    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    Updated Jul 19, 2023
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    U.S. Census Bureau (2023). Vintage 2018 Population Estimates: National Monthly Population Estimates [Dataset]. https://res1catalogd-o-tdatad-o-tgov.vcapture.xyz/dataset/vintage-2018-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, 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://res1www2d-o-tcensusd-o-tgov.vcapture.xyz/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://res1wwwd-o-tcensusd-o-tgov.vcapture.xyz/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://res1wwwd-o-tcensusd-o-tgov.vcapture.xyz/programs-surveys/popest.html.

  20. Vintage 2013 Population Estimates: National Monthly Population Estimates by...

    • catalog.data.gov
    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    Updated Jul 19, 2023
    + more versions
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    U.S. Census Bureau (2023). Vintage 2013 Population Estimates: National Monthly Population Estimates by Single Year of Age , Sex, 5 Races, Hispanic Origin, and Universe [Dataset]. https://catalog.data.gov/dataset/vintage-2013-population-estimates-national-monthly-population-estimates-by-single-year-of-
    Explore at:
    Dataset updated
    Jul 19, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    Monthly Population Estimates by Universe, Age, Sex, 5 Races, and Hispanic Origin for the United States: April 1, 2010 to July 1, 2013 // File: 7/1/2013 National Population Estimates // Source: U.S. Census Bureau, Population Division // Release Date: June 2014 // Note: 'In combination' means in combination with one or more other races. The sum of the five race groups adds to more than the total population because individuals may report more than one race. 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. 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 http://www.census.gov/popest/data/historical/files/MRSF-01-US1.pdf. // 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 http://www.census.gov/popest/methodology/index.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., V2013) 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: http://www.census.gov/popest/index.html.

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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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22 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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