13 datasets found
  1. U.S. Active Duty Military Deaths Since 1 JAN 2001

    • catalog.data.gov
    • s.cnmilf.com
    • +1more
    Updated Nov 29, 2020
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    Department of Defense (2020). U.S. Active Duty Military Deaths Since 1 JAN 2001 [Dataset]. https://catalog.data.gov/dataset/u-s-active-duty-military-deaths-since-1-jan-2001
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    Dataset updated
    Nov 29, 2020
    Dataset provided by
    United States Department of Warhttps://war.gov/
    Area covered
    United States
    Description

    Detailed listing of all U.S. Military Active Duty deaths since 1/1/2001 giving branch of service, age at death, military occupational code, location of death, and casualty category

  2. t

    VETERAN STATUS - DP02_MAN_P - Dataset - CKAN

    • portal.tad3.org
    Updated Nov 18, 2024
    + more versions
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    (2024). VETERAN STATUS - DP02_MAN_P - Dataset - CKAN [Dataset]. https://portal.tad3.org/dataset/veteran-status-dp02_man_p
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    Dataset updated
    Nov 18, 2024
    License

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

    Description

    SELECTED SOCIAL CHARACTERISTICS IN THE UNITED STATES VETERAN STATUS - DP02 Universe - Civilian population 18 Year and over Survey-Program - American Community Survey 5-year estimates Years - 2020, 2021, 2022 Veteran status is used to identify people with active duty military service and service in the military Reserves and the National Guard. Veterans are men and women 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, not counting the 4-6 months for initial training or yearly summer camps.

  3. U.S. Active Duty Military Casualty Deaths - Calendar Year 2005

    • catalog.data.gov
    • datasets.ai
    • +1more
    Updated Nov 29, 2020
    + more versions
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    Department of Defense (2020). U.S. Active Duty Military Casualty Deaths - Calendar Year 2005 [Dataset]. https://catalog.data.gov/dataset/u-s-active-duty-military-casualty-deaths-calendar-year-2005
    Explore at:
    Dataset updated
    Nov 29, 2020
    Dataset provided by
    United States Department of Warhttps://war.gov/
    Area covered
    United States
    Description

    Detailed listing of all U.S. Military Active Duty deaths for 2005

  4. US Military Pay Scales

    • kaggle.com
    zip
    Updated Nov 12, 2025
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    MarkByrne (2025). US Military Pay Scales [Dataset]. https://www.kaggle.com/rugbyrne/us-military-pay-scales
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    zip(5673373 bytes)Available download formats
    Dataset updated
    Nov 12, 2025
    Authors
    MarkByrne
    License

    http://www.gnu.org/licenses/lgpl-3.0.htmlhttp://www.gnu.org/licenses/lgpl-3.0.html

    Description

    This dataset compiles historical US Military pay scales, broken down by rank, time in service, and year. Dataset includes historical data from 1949-Present for Active Duty military pay. Includes Ranks E-1 through O-10, and from <2 Years in Service to 40 years in service.

    Raw Data PDFs can be found in milpayscraper/files.

  5. f

    Data from: Dual use of cigarettes and smokeless tobacco among active duty...

    • datasetcatalog.nlm.nih.gov
    • tandf.figshare.com
    Updated Dec 27, 2021
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    Larsen, Stacy L.; Irwin, Scott P.; Lin, Jie; Zhu, Kangmin; Shriver, Craig D.; Soliván-Ortiz, Aida M.; Schneid, Thomas R.; Lee, Sukhyung (2021). Dual use of cigarettes and smokeless tobacco among active duty service members in the US military [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000920968
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    Dataset updated
    Dec 27, 2021
    Authors
    Larsen, Stacy L.; Irwin, Scott P.; Lin, Jie; Zhu, Kangmin; Shriver, Craig D.; Soliván-Ortiz, Aida M.; Schneid, Thomas R.; Lee, Sukhyung
    Description

    The high prevalence of dual use of cigarettes and smokeless tobacco is a unique tobacco use behavior in the US military population. However, dual tobacco use has rarely been addressed in active duty populations. We aimed to identify factors contributing to dual tobacco use among active duty service members from Army and Air Force. We also compared age at initiation, duration of use, and amount of use between dual users and exclusive users. The study included 168 exclusive cigarette smokers, 171 exclusive smokeless tobacco users, and 110 dual users. In stepwise logistic regression, smokeless tobacco use among family members (OR = 4.78, 95% CI = 2.05–11.13 for father use vs. no use, OR = 3.39, 95% CI = 1.56–7.37 for other relatives use vs. no use), and deployment history (serving combat unit vs. combat support unit: OR = 4.12, 95% CI = 1.59–10.66; never deployed vs. combat support unit: OR = 3.32, 95% CI = 1.45–7.61) were factors identified to be associated with dual use relative to exclusive cigarette smoking. Cigarette smoking among family members (OR = 1.96, 95% CI = 1.07–3.60 for sibling smoking), high perception of harm using smokeless tobacco (OR = 2.34, 95% CI = 1.29–4.26), secondhand smoke exposure (OR = 4.83, 95% CI = 2.73–8.55), and lower education (associated degree or some college: OR = 2.76, 95% CI = 1.01–7.51; high school of lower: OR = 4.10, 95% CI = 1.45–11.61) were factors associated with dual use relative to exclusive smokeless tobacco use. Compared to exclusive cigarette smokers, dual users started smoking at younger age, smoked cigarettes for longer period, and smoked more cigarettes per day. Our study addressed dual tobacco use behavior in military population and has implications to tobacco control programs in the military.

  6. U.S. Military Deaths by cause 1980-2010

    • kaggle.com
    zip
    Updated Oct 22, 2021
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    Kunal (2021). U.S. Military Deaths by cause 1980-2010 [Dataset]. https://www.kaggle.com/toomuchsauce/us-military-deaths-by-cause-19802010
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    zip(1366 bytes)Available download formats
    Dataset updated
    Oct 22, 2021
    Authors
    Kunal
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Content

    • The data contained in this site can be used to understand trends in casualties as they relate to terrain, advances in medicine, the advent of better technology that has enhanced the safety of the war fighter, or the challenges brought about by new threats.

    • The data contained in these Defense Casualty Analysis System (DCAS) reports are used by DoD organizations, external government agencies, both houses of Congress, the President, the news media, and the general public.

    Acknowledgements

    • DCAS is an application maintained by the Defense Manpower Data Center (DMDC).
    • The data that DCAS contains is provided from multiple sources, the primary source being that of the military services themselves.
  7. U

    United States US: Armed Forces Personnel: Total

    • ceicdata.com
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    CEICdata.com, United States US: Armed Forces Personnel: Total [Dataset]. https://www.ceicdata.com/en/united-states/defense-and-official-development-assistance/us-armed-forces-personnel-total
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    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Sep 1, 2005 - Sep 1, 2016
    Area covered
    United States
    Variables measured
    Operating Statement
    Description

    United States US: Armed Forces Personnel: Total data was reported at 1,348,400.000 Person in 2016. This records an increase from the previous number of 1,347,300.000 Person for 2015. United States US: Armed Forces Personnel: Total data is updated yearly, averaging 1,546,000.000 Person from Sep 1985 (Median) to 2016, with 29 observations. The data reached an all-time high of 2,240,000.000 Person in 1989 and a record low of 1,347,300.000 Person in 2015. United States US: Armed Forces Personnel: Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Defense and Official Development Assistance. Armed forces personnel are active duty military personnel, including paramilitary forces if the training, organization, equipment, and control suggest they may be used to support or replace regular military forces.; ; International Institute for Strategic Studies, The Military Balance.; Sum; Data for some countries are based on partial or uncertain data or rough estimates.

  8. T

    USA SPENDING EDUCATION CH32 B120 POST-VIETNAM ERA VETERANS' EDUCATIONAL...

    • data.va.gov
    • datahub.va.gov
    • +1more
    csv, xlsx, xml
    Updated Sep 16, 2019
    + more versions
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    (2019). USA SPENDING EDUCATION CH32 B120 POST-VIETNAM ERA VETERANS' EDUCATIONAL ASSISTANCE FEB2019 [Dataset]. https://www.data.va.gov/dataset/USA-SPENDING-EDUCATION-CH32-B120-POST-VIETNAM-ERA-/7kds-tnwf
    Explore at:
    xlsx, xml, csvAvailable download formats
    Dataset updated
    Sep 16, 2019
    Area covered
    Vietnam
    Description

    VBA EDUCATION BENEFITS PROGRAM to provide educational assistance to persons entering the Armed Forces after December 31, 1976, and before July 1, 1985; to assist persons in obtaining an education they might otherwise not be able to afford; and to promote and assist the all volunteer military program of the United States by attracting qualified persons to serve in the Armed Forces. The participant must have entered on active duty on or after January 1, 1977, and before July 1, 1985, and either served on active duty for more than 180 continuous days receiving an other than dishonorable discharge, or have been discharged after January, 1, 1977 because of a service-connected disability. Also eligible are participants who serve for more than 180 days and who continue on active duty and have completed their first period of obligated service (or 6 years of active duty, whichever comes first). Participants must also have satisfactorily contributed to the program. (Satisfactory contribution consists of monthly deduction of $25 to $100 from military pay, up to a maximum of $2,700, for deposit in a special training fund.) Participants may make lump-sum contributions. No individuals on active duty in the Armed Forces may initially begin contributing to this program after March 31, 1987.

  9. Prevalence (% ± SE) of reported use of number and type dietary supplements...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    • +1more
    xls
    Updated May 31, 2023
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    Krista G. Austin; Lori Lyn Price; Susan M. McGraw; Harris R. Lieberman (2023). Prevalence (% ± SE) of reported use of number and type dietary supplements (DS) at least once per week or more often over the six months prior to the survey by demographic and lifestyle characteristics among Active Duty U.S. Coast Guard Personnel1. [Dataset]. http://doi.org/10.1371/journal.pone.0133006.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Krista G. Austin; Lori Lyn Price; Susan M. McGraw; Harris R. Lieberman
    License

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

    Description
    • = p < 0.05** = p < 0.01Prevalence (% ± SE) of reported use of number and type dietary supplements (DS) at least once per week or more often over the six months prior to the survey by demographic and lifestyle characteristics among Active Duty U.S. Coast Guard Personnel1.
  10. T

    USA SPENDING EDUCATION CH33 B028 POST-9/11 VETERANS EDUCATIONAL ASSISTANCE...

    • va-datahub.data.socrata.com
    • data.va.gov
    • +3more
    application/rdfxml +5
    Updated Sep 16, 2019
    + more versions
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    (2019). USA SPENDING EDUCATION CH33 B028 POST-9/11 VETERANS EDUCATIONAL ASSISTANCE FY2019 [Dataset]. https://va-datahub.data.socrata.com/dataset/USA-SPENDING-EDUCATION-CH33-B028-POST-9-11-VETERAN/8aav-9d7v
    Explore at:
    csv, application/rssxml, application/rdfxml, tsv, xml, jsonAvailable download formats
    Dataset updated
    Sep 16, 2019
    Description

    VBA EDUCATION BENEFITS PROGRAM to help servicepersons adjust to civilian life after separation from military service, assist in the recruitment and retention of highly qualified personnel in the active and reserve components in the Armed Forces by providing education benefits, and to provide educational opportunities to the dependents of certain service members and veterans. Individuals who entered active duty after September 10, 2001 may be eligible for the Post-9/11 GI Bill. Individuals can use the Post-9/11 GI Bill after serving 90 days on active duty (excluding entry level and skill training). Only periods of active duty under title 10 will be used to establish eligibility for the Post 9/11 GI Bill. A high school diploma or equivalency certificate is always required for eligibility. Individuals who are eligible for the Montgomery GI Bill – Active Duty (chapter 30), the Montgomery GI Bill – Selected Reserve (chapter 1606), or the Reserve Educational Assistance Program (REAP) will have to make an irrevocable election to relinquish eligibility under one of those benefit programs to establish eligibility under the Post-9/11 GI Bill. The dependent children of a person who died in the line of duty while serving as a member of the Armed Forces may be eligible to use benefits under the Fry Scholarship provision of the Post-9/11 GI Bill. The spouse and/or child(ren) of a veteran or service member may be eligible for the Post 9/11 GI Bill if the veteran or service member transfers entitlement to those dependents. Eligibility to transfer entitlement to dependents is determined by the Department of Defense. This is not a complete list of eligibility requirements. For more information on the latest changes to the Post-9/11 GI Bill go to the VA web-site.

  11. Prevalence (% ± SE) of reported use of any dietary supplement (DS), sports...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 4, 2023
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    Krista G. Austin; Lori Lyn Price; Susan M. McGraw; Harris R. Lieberman (2023). Prevalence (% ± SE) of reported use of any dietary supplement (DS), sports drink, sports bar/gel, and meal replacement beverage among U.S. Coast Guard Active Duty Personnel. [Dataset]. http://doi.org/10.1371/journal.pone.0133006.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Krista G. Austin; Lori Lyn Price; Susan M. McGraw; Harris R. Lieberman
    License

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

    Description
    • = P < 0.05** = P < 0.01.1 Coast Guard occupation is the self-reported area of assignment at the time of the survey: Operational (includes jobs such as fireman, damage controlman, maritime law enforcement specialist); Support (includes jobs such as health service technician, food service specialist, electronics technician); Officer (supervisory positions)2 BMI was calculated from self-reported height and weight.3 Aerobic exercise included percent of individuals who reported nonstop running, cycling, stair climbing, swimming and road marching either within their Coast Guard unit or on their own time each week for the duration ranges: lowest (0–60 minutes), low (61–314 minutes), moderate (315–464 minutes); high (465+ minutes)4 Strength training included percent of individuals who reported lifting weights or other forms of strength condition exercise within their Coast Guard unit or on their own time each week.Prevalence (% ± SE) of reported use of any dietary supplement (DS), sports drink, sports bar/gel, and meal replacement beverage among U.S. Coast Guard Active Duty Personnel.
  12. d

    Current Population Survey (CPS)

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 21, 2023
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    Damico, Anthony (2023). Current Population Survey (CPS) [Dataset]. http://doi.org/10.7910/DVN/AK4FDD
    Explore at:
    Dataset updated
    Nov 21, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Damico, Anthony
    Description

    analyze the current population survey (cps) annual social and economic supplement (asec) with r the annual march cps-asec has been supplying the statistics for the census bureau's report on income, poverty, and health insurance coverage since 1948. wow. the us census bureau and the bureau of labor statistics ( bls) tag-team on this one. until the american community survey (acs) hit the scene in the early aughts (2000s), the current population survey had the largest sample size of all the annual general demographic data sets outside of the decennial census - about two hundred thousand respondents. this provides enough sample to conduct state- and a few large metro area-level analyses. your sample size will vanish if you start investigating subgroups b y state - consider pooling multiple years. county-level is a no-no. despite the american community survey's larger size, the cps-asec contains many more variables related to employment, sources of income, and insurance - and can be trended back to harry truman's presidency. aside from questions specifically asked about an annual experience (like income), many of the questions in this march data set should be t reated as point-in-time statistics. cps-asec generalizes to the united states non-institutional, non-active duty military population. the national bureau of economic research (nber) provides sas, spss, and stata importation scripts to create a rectangular file (rectangular data means only person-level records; household- and family-level information gets attached to each person). to import these files into r, the parse.SAScii function uses nber's sas code to determine how to import the fixed-width file, then RSQLite to put everything into a schnazzy database. you can try reading through the nber march 2012 sas importation code yourself, but it's a bit of a proc freak show. this new github repository contains three scripts: 2005-2012 asec - download all microdata.R down load the fixed-width file containing household, family, and person records import by separating this file into three tables, then merge 'em together at the person-level download the fixed-width file containing the person-level replicate weights merge the rectangular person-level file with the replicate weights, then store it in a sql database create a new variable - one - in the data table 2012 asec - analysis examples.R connect to the sql database created by the 'download all microdata' progr am create the complex sample survey object, using the replicate weights perform a boatload of analysis examples replicate census estimates - 2011.R connect to the sql database created by the 'download all microdata' program create the complex sample survey object, using the replicate weights match the sas output shown in the png file below 2011 asec replicate weight sas output.png statistic and standard error generated from the replicate-weighted example sas script contained in this census-provided person replicate weights usage instructions document. click here to view these three scripts for more detail about the current population survey - annual social and economic supplement (cps-asec), visit: the census bureau's current population survey page the bureau of labor statistics' current population survey page the current population survey's wikipedia article notes: interviews are conducted in march about experiences during the previous year. the file labeled 2012 includes information (income, work experience, health insurance) pertaining to 2011. when you use the current populat ion survey to talk about america, subract a year from the data file name. as of the 2010 file (the interview focusing on america during 2009), the cps-asec contains exciting new medical out-of-pocket spending variables most useful for supplemental (medical spending-adjusted) poverty research. confidential to sas, spss, stata, sudaan users: why are you still rubbing two sticks together after we've invented the butane lighter? time to transition to r. :D

  13. S

    USA SPENDING EDUCATION CH31 B116 VETERANS PROSTHETIC APPLIANCES APR2019

    • splitgraph.com
    • datahub.va.gov
    • +2more
    Updated May 15, 2020
    + more versions
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    datahub-va-gov (2020). USA SPENDING EDUCATION CH31 B116 VETERANS PROSTHETIC APPLIANCES APR2019 [Dataset]. https://www.splitgraph.com/datahub-va-gov/usa-spending-education-ch31-b116-veterans-crdj-d6f2
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    application/openapi+json, json, application/vnd.splitgraph.imageAvailable download formats
    Dataset updated
    May 15, 2020
    Authors
    datahub-va-gov
    Description

    VBA EDUCATION PROGRAMS to provide, through purchase and/or fabrication, prosthetic and related appliances, equipment and services to eligible veterans so that they may live and work as productive citizens. Veterans eligible for prosthetic services are service-connected veterans seeking care for a service-connected disability; veterans with compensable service-connected disabilities generally rated 10 percent or more; former prisoners of war, veterans discharged or released from active military service for a disability that was incurred or aggravated in the line of duty, and veterans who are in receipt of Section 1151 benefits; veterans who are in receipt of increased pension based on a need of regular aid and attendance or by reason of being permanently housebound; veterans who have annual income and net worth below the "means test" threshold; all other veterans who are not required to pay a copayment for their care, i.e., veterans of the Mexican border period and World War I, compensated zero (0) percent service-connected veterans who are receiving statutory awards, veterans exposed to a toxic substance, radiation or environmental hazard (limited to certain disabilities); and veterans who must pay a copayment for their care. Ineligible veterans are nonservice-connected veterans residing or sojourning in foreign lands.

    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.

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    Learn how you can add new datasets to our index.

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Department of Defense (2020). U.S. Active Duty Military Deaths Since 1 JAN 2001 [Dataset]. https://catalog.data.gov/dataset/u-s-active-duty-military-deaths-since-1-jan-2001
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U.S. Active Duty Military Deaths Since 1 JAN 2001

Explore at:
Dataset updated
Nov 29, 2020
Dataset provided by
United States Department of Warhttps://war.gov/
Area covered
United States
Description

Detailed listing of all U.S. Military Active Duty deaths since 1/1/2001 giving branch of service, age at death, military occupational code, location of death, and casualty category

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