53 datasets found
  1. United States US: Military Expenditure

    • ceicdata.com
    Updated May 15, 2009
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    CEICdata.com (2009). United States US: Military Expenditure [Dataset]. https://www.ceicdata.com/en/united-states/defense-and-official-development-assistance/us-military-expenditure
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    Dataset updated
    May 15, 2009
    Dataset provided by
    CEIC Data
    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: Military Expenditure data was reported at 609.758 USD bn in 2017. This records an increase from the previous number of 600.106 USD bn for 2016. United States US: Military Expenditure data is updated yearly, averaging 277.591 USD bn from Sep 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 711.338 USD bn in 2011 and a record low of 45.380 USD bn in 1960. United States US: Military Expenditure 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. Military expenditures data from SIPRI are derived from the NATO definition, which includes all current and capital expenditures on the armed forces, including peacekeeping forces; defense ministries and other government agencies engaged in defense projects; paramilitary forces, if these are judged to be trained and equipped for military operations; and military space activities. Such expenditures include military and civil personnel, including retirement pensions of military personnel and social services for personnel; operation and maintenance; procurement; military research and development; and military aid (in the military expenditures of the donor country). Excluded are civil defense and current expenditures for previous military activities, such as for veterans' benefits, demobilization, conversion, and destruction of weapons. This definition cannot be applied for all countries, however, since that would require much more detailed information than is available about what is included in military budgets and off-budget military expenditure items. (For example, military budgets might or might not cover civil defense, reserves and auxiliary forces, police and paramilitary forces, dual-purpose forces such as military and civilian police, military grants in kind, pensions for military personnel, and social security contributions paid by one part of government to another.); ; Stockholm International Peace Research Institute (SIPRI), Yearbook: Armaments, Disarmament and International Security.; ; Data for some countries are based on partial or uncertain data or rough estimates. For additional details please refer to the military expenditure database on the SIPRI website: https://sipri.org/databases/milex

  2. M

    U.S. Military Size

    • macrotrends.net
    csv
    Updated Jun 30, 2025
    + more versions
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    MACROTRENDS (2025). U.S. Military Size [Dataset]. https://www.macrotrends.net/global-metrics/countries/usa/united-states/military-army-size
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    csvAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    Jan 1, 1985 - Dec 31, 2020
    Area covered
    United States
    Description

    Historical chart and dataset showing U.S. military size by year from 1985 to 2020.

  3. U

    United States US: Military Expenditure: % of GDP

    • ceicdata.com
    Updated Feb 1, 2001
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    CEICdata.com (2001). United States US: Military Expenditure: % of GDP [Dataset]. https://www.ceicdata.com/en/united-states/defense-and-official-development-assistance/us-military-expenditure--of-gdp
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    Dataset updated
    Feb 1, 2001
    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: Military Expenditure: % of GDP data was reported at 3.149 % in 2017. This records a decrease from the previous number of 3.222 % for 2016. United States US: Military Expenditure: % of GDP data is updated yearly, averaging 4.864 % from Sep 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 9.063 % in 1967 and a record low of 2.908 % in 1999. United States US: Military Expenditure: % of GDP 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. Military expenditures data from SIPRI are derived from the NATO definition, which includes all current and capital expenditures on the armed forces, including peacekeeping forces; defense ministries and other government agencies engaged in defense projects; paramilitary forces, if these are judged to be trained and equipped for military operations; and military space activities. Such expenditures include military and civil personnel, including retirement pensions of military personnel and social services for personnel; operation and maintenance; procurement; military research and development; and military aid (in the military expenditures of the donor country). Excluded are civil defense and current expenditures for previous military activities, such as for veterans' benefits, demobilization, conversion, and destruction of weapons. This definition cannot be applied for all countries, however, since that would require much more detailed information than is available about what is included in military budgets and off-budget military expenditure items. (For example, military budgets might or might not cover civil defense, reserves and auxiliary forces, police and paramilitary forces, dual-purpose forces such as military and civilian police, military grants in kind, pensions for military personnel, and social security contributions paid by one part of government to another.); ; Stockholm International Peace Research Institute (SIPRI), Yearbook: Armaments, Disarmament and International Security.; Weighted average; Data for some countries are based on partial or uncertain data or rough estimates.

  4. d

    US Veteran & Military Data | 26MM Records

    • datarade.ai
    Updated Nov 15, 2024
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    McGRAW (2024). US Veteran & Military Data | 26MM Records [Dataset]. https://datarade.ai/data-products/mcgraw-us-veteran-military-data-26mm-records-mcgraw
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    .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Nov 15, 2024
    Dataset authored and provided by
    McGRAW
    Area covered
    United States
    Description

    Access a market-leading database of 18 million verified military veterans, backed by our money-back quality guarantee. Our veteran mailing lists are meticulously updated and verified every month to ensure accuracy. Understanding that every campaign is unique, we provide a comprehensive range of demographic and psychographic filters to help you target the exact veteran audience you need.

    Whether you aim to offer benefits, home loans, educational opportunities, or specialized services, our data ensures your message reaches the right audience, enabling you to connect effectively with both active and non-active military members. Discover how our targeted data solutions can enhance your engagement and drive success for your initiatives.

    Here are some of the customizable segments you can create with our filters:

    • Veteran Ethnicities Available
    • Senior Veterans (65+)
    • Affluent Veterans
    • Veterans with Advanced Degrees
    • Veteran's Hobbies
    • Disabled Veterans
    • Families with two or more veterans in the household

    Our military veterans email campaign offers targeted outreach to qualified veteran leads with a guaranteed open rate, ensuring your message reaches a receptive audience. After the campaign, you can opt to receive a list of veterans who opened your email, providing a valuable pool of warm leads for follow-up. If you prefer to manage your own campaign, we also offer highly accurate veteran email lists, complete with unlimited usage rights for ongoing marketing efforts.

    Additionally, you can extend your reach by using the same veteran email list for targeted Facebook ads, leveraging the power of multi-channel marketing. For a more tangible approach, our veterans mailing list allows you to engage veterans directly through direct mail, offering an uninterrupted opportunity to capture their attention. To maximize impact, we recommend synchronizing direct mail with a complementary digital ad campaign, enhancing your overall return on investment. With our active military database, you can connect with military personnel both on and off base.

  5. Wars ranked by U.S. military deaths

    • kaggle.com
    Updated Jun 26, 2019
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    DaveLewis (2019). Wars ranked by U.S. military deaths [Dataset]. https://www.kaggle.com/zlewishome/wars-ranked-us-military-deaths/code
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 26, 2019
    Dataset provided by
    Kaggle
    Authors
    DaveLewis
    Description

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F954461%2F41f0017368e1043a2c643aea10cbb3e4%2FgoogleDataStudio.jpg?generation=1561570478866938&alt=media" alt="">

    Context

    This dataset will be used to help users get familiar with Google Data Studio. It's also a great way to mix history with data visualization skills.

    Later I will develop a lesson that will help new users get up to speed with Google Data Studio. This dataset is small, but it will be a good dataset to start with. The same concepts learned with this project will be used with larger datasets.

    Content

    This data comes from wikipedia.

    Acknowledgements

    wikipedia

    https://en.wikipedia.org/wiki/United_States_military_casualties_of_war

    Inspiration

    Project based learning. Get it going! Teach kids using data.

  6. t

    VETERAN STATUS - DP02_DES_T - Dataset - CKAN

    • portal.tad3.org
    Updated Nov 18, 2024
    + more versions
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    (2024). VETERAN STATUS - DP02_DES_T - Dataset - CKAN [Dataset]. https://portal.tad3.org/dataset/veteran-status-dp02_des_t
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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.

  7. t

    2012 Anthropometric Survey of U.S. Army Personnel

    • invenio01-demo.tugraz.at
    csv
    Updated Apr 8, 2025
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    Sonja M. Fitterer; Sonja M. Fitterer (2025). 2012 Anthropometric Survey of U.S. Army Personnel [Dataset]. http://doi.org/10.0356/k7g2e-zd592
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    csvAvailable download formats
    Dataset updated
    Apr 8, 2025
    Dataset provided by
    U.S. Army Natick Soldier Research, Development and Engineering Center Natick, Massachusetts 01760-2642
    Authors
    Sonja M. Fitterer; Sonja M. Fitterer
    License

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

    Time period covered
    Oct 2010 - Apr 2012
    Area covered
    United States
    Description

    The 2012 US Army Anthropometric Survey (ANSUR II) was executed by the Natick Soldier Research, Development and Engineering Center (NSRDEC) from October 2010 to April 2012 and is comprised of personnel representing the total US Army force to include the US Army Active Duty, Reserves, and National Guard. The data was made publicly available in 2017. In addition to the anthropometric and demographic data described below, the ANSUR II database also consists of 3D whole body, foot, and head scans of Soldier participants. These 3D data are not publicly available out of respect for the privacy of ANSUR II participants. The data from this survey are used for a wide range of equipment design, sizing, and tariffing applications within the military and has many potential commercial, industrial, and academic applications.These data have replaced ANSUR I as the most comprehensive publicly accessible dataset on body size and shape. The ANSUR II dataset includes 93 measurements from over 6,000 adult US military personnel, comprising 4,082 men (ANSUR_II_MALE_Public.csv) and 1,986 women (ANSUR_II_FEMALE_Public.csv).

    The ANSUR II working databases contain 93 anthropometric measurements which were directly measured, and 15 demographic/administrative variables.

    Much more information about the data collection methodology and content of the ANSUR II Working Databases may be found in the following Technical Reports, available from theDefense Technical Information Center (www.dtic.mil) through:

    a. 2010-2012 Anthropometric Survey of U.S. Army Personnel: Methods and Summary
    Statistics. (NATICK/TR-15/007)
    b. Measurer’s Handbook: US Army and Marine Corps Anthropometric Surveys,
    2010-2011 (NATICK/TR-11/017)

  8. Defense Office of Hearings & Appeals Decisions- Military Personnel Claim...

    • datasets.ai
    • catalog.data.gov
    21
    Updated Nov 29, 2020
    + more versions
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    Department of Defense (2020). Defense Office of Hearings & Appeals Decisions- Military Personnel Claim Decisions - 2008 [Dataset]. https://datasets.ai/datasets/defense-office-of-hearings-appeals-decisions-military-personnel-claim-decisions-2008
    Explore at:
    21Available download formats
    Dataset updated
    Nov 29, 2020
    Dataset provided by
    United States Department of Defensehttp://www.defense.gov/
    Authors
    Department of Defense
    Description

    decisions involve claims related to uniformed service members' pay, allowances, travel, transportation, retired pay, and survivor benefits

  9. US Military Spending by Year (1960 - 2020)

    • kaggle.com
    zip
    Updated Dec 7, 2021
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    Brandon Conrady (2021). US Military Spending by Year (1960 - 2020) [Dataset]. https://www.kaggle.com/brandonconrady/us-military-spending-by-year-1960-2020
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    zip(1039 bytes)Available download formats
    Dataset updated
    Dec 7, 2021
    Authors
    Brandon Conrady
    License

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

    Description

    Content

    Lists the military spending, GDP, and population estimate for the US each year from 1960 to 2020.

    Acknowledgements

    Banner image source: https://unsplash.com/photos/BQgAYwERXhs

  10. d

    Replication Data for: Building Trust: The Effect of US Troop Deployments on...

    • dataone.org
    • dataverse.harvard.edu
    Updated Nov 22, 2023
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    Flynn, Michael; Martinez Machain, Carla; Stoyan, Alissandra (2023). Replication Data for: Building Trust: The Effect of US Troop Deployments on Public Opinion in Peru [Dataset]. http://doi.org/10.7910/DVN/1CBIQW
    Explore at:
    Dataset updated
    Nov 22, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Flynn, Michael; Martinez Machain, Carla; Stoyan, Alissandra
    Description

    Since the 1950s, US military personnel have taken on an increasingly diverse set of responsibilities, including less traditional roles delivering disaster aid and engaging in public diplomacy. Focusing on a particular subset of deployments, humanitarian and civic-assistance deployments to Latin America, we examine the effect that a US military presence can have on public opinion in the host country. We focus on the microfoundations of popular support and use survey data and newly collected subnational data on deployments to examine the effect of these deployments on mass attitudes toward the US military and government in Peru. We find that these deployments do improve perceptions of the US military and government, and correlate with assessments of US influence that are more positive. Our findings bolster the conclusions of previous research that shows how aid can both improve public attitudes toward the donor country and address the foreign aid attribution problem.

  11. d

    Executive Agreements Database, Statement Regarding Agreement Concerning...

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 19, 2023
    + more versions
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    Oona A. Hathaway; Curtis A. Bradley; Jack L. Goldsmith (2023). Executive Agreements Database, Statement Regarding Agreement Concerning Status Of United States Military Personnel and Civilian Employees of the Department Of Defense Between The United States of America and The Republic Of Ecuador Signed In Quito October 8, 1997 Entered In Force October 8, 1997 [Dataset]. http://doi.org/10.7910/DVN/90GRM8
    Explore at:
    Dataset updated
    Nov 19, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Oona A. Hathaway; Curtis A. Bradley; Jack L. Goldsmith
    Area covered
    Ecuador, United States
    Description

    KAV 5541 cover memo. Visit https://dataone.org/datasets/sha256%3A1de98edd210bb0c2f6ea4a561f5277e4b9783e995ecb834dbdb52b5f50e939ef for complete metadata about this dataset.

  12. Top Defense Manufacturers

    • kaggle.com
    Updated Aug 13, 2022
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    SJ (2022). Top Defense Manufacturers [Dataset]. https://www.kaggle.com/datasets/surajjha101/top-defense-manufacturers/versions/1
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 13, 2022
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    SJ
    License

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

    Description

    A defense contractor is a business organization or individual that provides products or services to a military or intelligence department of a government. Products typically include military or civilian aircraft, ships, vehicles, weaponry, and electronic systems, while services can include logistics, technical support and training, communications support, and engineering support in cooperation with the government.

    Security contractors do not generally provide direct support of military operations. Under the 1949 Geneva Conventions, military contractors engaged in direct support of military operations may be legitimate targets of military interrogation.

    In the United States, defense contracting has taken an increasingly larger role. In 2009, the Department of Defense spent nearly $316 billion on contracts. Contractors have assumed a much larger on-the-ground presence during American conflicts: during the 1991 Gulf War the ratio of uniformed military to contractors was about 50 to 1, while during the first four years of the Iraq War the U.S. hired over 190,000 contractors, surpassing the total American military presence even during the 2007 Iraq surge and 23 times greater than other allied military personnel numbers. In Afghanistan, the presence of almost 100,000 contractors has resulted in a near 1-to-1 ratio with military personnel.The surge in spending on defense services contractors that began in 2001 came to a halt in 2009, leading to the Better Buying Power initiative of 2010.

  13. r

    Early Indicators of Later Work Levels Disease and Death (EI) - Union Army...

    • rrid.site
    • scicrunch.org
    • +3more
    Updated Jun 17, 2025
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    (2025). Early Indicators of Later Work Levels Disease and Death (EI) - Union Army Samples Public Health and Ecological Datasets [Dataset]. http://identifiers.org/RRID:SCR_008921
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    Dataset updated
    Jun 17, 2025
    Description

    A dataset to advance the study of life-cycle interactions of biomedical and socioeconomic factors in the aging process. The EI project has assembled a variety of large datasets covering the life histories of approximately 39,616 white male volunteers (drawn from a random sample of 331 companies) who served in the Union Army (UA), and of about 6,000 African-American veterans from 51 randomly selected United States Colored Troops companies (USCT). Their military records were linked to pension and medical records that detailed the soldiers������?? health status and socioeconomic and family characteristics. Each soldier was searched for in the US decennial census for the years in which they were most likely to be found alive (1850, 1860, 1880, 1900, 1910). In addition, a sample consisting of 70,000 men examined for service in the Union Army between September 1864 and April 1865 has been assembled and linked only to census records. These records will be useful for life-cycle comparisons of those accepted and rejected for service. Military Data: The military service and wartime medical histories of the UA and USCT men were collected from the Union Army and United States Colored Troops military service records, carded medical records, and other wartime documents. Pension Data: Wherever possible, the UA and USCT samples have been linked to pension records, including surgeon''''s certificates. About 70% of men in the Union Army sample have a pension. These records provide the bulk of the socioeconomic and demographic information on these men from the late 1800s through the early 1900s, including family structure and employment information. In addition, the surgeon''''s certificates provide rich medical histories, with an average of 5 examinations per linked recruit for the UA, and about 2.5 exams per USCT recruit. Census Data: Both early and late-age familial and socioeconomic information is collected from the manuscript schedules of the federal censuses of 1850, 1860, 1870 (incomplete), 1880, 1900, and 1910. Data Availability: All of the datasets (Military Union Army; linked Census; Surgeon''''s Certificates; Examination Records, and supporting ecological and environmental variables) are publicly available from ICPSR. In addition, copies on CD-ROM may be obtained from the CPE, which also maintains an interactive Internet Data Archive and Documentation Library, which can be accessed on the Project Website. * Dates of Study: 1850-1910 * Study Features: Longitudinal, Minority Oversamples * Sample Size: ** Union Army: 35,747 ** Colored Troops: 6,187 ** Examination Sample: 70,800 ICPSR Link: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06836

  14. Veteran Affairs Facilities Dataset

    • kaggle.com
    Updated Oct 9, 2024
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    Bluewall (2024). Veteran Affairs Facilities Dataset [Dataset]. http://doi.org/10.34740/kaggle/dsv/9588344
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 9, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Bluewall
    License

    Attribution-NonCommercial-NoDerivs 4.0 (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/
    License information was derived automatically

    Description

    This dataset provides a comprehensive listing of Veteran Affairs (VA) facilities across the United States. It includes vital information about each facility, such as the name, address, phone number, and the state where it's located. This resource is invaluable for veterans, researchers, and healthcare professionals looking to locate VA services across the country.

    Key Features:

    • Facility Name: The official name of the VA facility or center.
    • Address: Full address of the facility, including city and zip code.-
    • State: The U.S. state or district where the facility is located.
    • Phone Number: Direct contact information for each facility.

    Use Cases:

    • Helping veterans find the nearest VA facility in their state or city.
    • Research and analysis of the distribution of VA facilities across the U.S.
    • Aiding organizations and individuals working on veteran-related issues in identifying local resources.

    Potential Applications:

    • Healthcare: Locating VA clinics for specific services such as mental health, physical rehabilitation, or counseling.
    • Support Groups: Assisting veterans and their families in finding nearby facilities for support.
    • Analysis: Studying the geographic distribution of facilities to ensure equitable access for veterans nationwide.
  15. W

    Emergency Medical Service Stations

    • wifire-data.sdsc.edu
    • gis-calema.opendata.arcgis.com
    csv, esri rest +4
    Updated May 22, 2019
    + more versions
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    CA Governor's Office of Emergency Services (2019). Emergency Medical Service Stations [Dataset]. https://wifire-data.sdsc.edu/dataset/emergency-medical-service-stations
    Explore at:
    geojson, zip, csv, kml, html, esri restAvailable download formats
    Dataset updated
    May 22, 2019
    Dataset provided by
    CA Governor's Office of Emergency Services
    License

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

    Description
    The dataset represents Emergency Medical Services (EMS) locations in the United States and its territories. EMS Stations are part of the Fire Stations / EMS Stations HSIP Freedom sub-layer, which in turn is part of the Emergency Services and Continuity of Government Sector, which is itself a part of the Critical Infrastructure Category. The EMS stations dataset consists of any location where emergency medical service (EMS) personnel are stationed or based out of, or where equipment that such personnel use in carrying out their jobs is stored for ready use. Ambulance services are included even if they only provide transportation services, but not if they are located at, and operated by, a hospital. If an independent ambulance service or EMS provider happens to be collocated with a hospital, it will be included in this dataset. The dataset includes both private and governmental entities. A concerted effort was made to include all emergency medical service locations in the United States and its territories. This dataset is comprised completely of license free data. Records with "-DOD" appended to the end of the [NAME] value are located on a military base, as defined by the Defense Installation Spatial Data Infrastructure (DISDI) military installations and military range boundaries. At the request of NGA, text fields in this dataset have been set to all upper case to facilitate consistent database engine search results. At the request of NGA, all diacritics (e.g., the German umlaut or the Spanish tilde) have been replaced with their closest equivalent English character to facilitate use with database systems that may not support diacritics. The currentness of this dataset is indicated by the [CONTDATE] field. Based upon this field, the oldest record dates from 12/29/2004 and the newest record dates from 01/11/2010.

    This dataset represents the EMS stations of any location where emergency medical service (EMS) personnel are stationed or based out of, or where equipment that such personnel use in carrying out their jobs is stored for ready use. Homeland Security Use Cases: Use cases describe how the data may be used and help to define and clarify requirements. 1. An assessment of whether or not the total emergency medical services capability in a given area is adequate. 2. A list of resources to draw upon by surrounding areas when local resources have temporarily been overwhelmed by a disaster - route analysis can determine those entities that are able to respond the quickest. 3. A resource for Emergency Management planning purposes. 4. A resource for catastrophe response to aid in the retrieval of equipment by outside responders in order to deal with the disaster. 5. A resource for situational awareness planning and response for Federal Government events.


  16. H

    Executive Agreements Database, Statement Concerning the Agreement with...

    • dataverse.harvard.edu
    Updated Dec 10, 2020
    + more versions
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    Oona A. Hathaway; Curtis A. Bradley; Jack Goldsmith (2020). Executive Agreements Database, Statement Concerning the Agreement with Ecuador Regarding the Status Of United States Military Personnel and Civilian Employees of the Department Of Defense Who May Be Present In Ecuador In Connection with Their Official Duties Effected By Exchange Of Notes Act Quito May 15 and 28, 2008 Entered Into Force May 28, 2008 [Dataset]. http://doi.org/10.7910/DVN/KGY8DZ
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 10, 2020
    Dataset provided by
    Harvard Dataverse
    Authors
    Oona A. Hathaway; Curtis A. Bradley; Jack Goldsmith
    License

    https://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.1/customlicense?persistentId=doi:10.7910/DVN/KGY8DZhttps://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.1/customlicense?persistentId=doi:10.7910/DVN/KGY8DZ

    Area covered
    Ecuador
    Description

    KAV 9354 CAR 2011-0147 First signed 05/15/2008 Last signed 05/28/2008 Entry into force (supplemented by last signed) 05/28/2008 stamped 2011-0147 C06545549 cover memo

  17. USA Department of Defense Lands

    • hub.arcgis.com
    • geodata.colorado.gov
    Updated Feb 10, 2018
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    Esri (2018). USA Department of Defense Lands [Dataset]. https://hub.arcgis.com/maps/esri::usa-department-of-defense-lands
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    Dataset updated
    Feb 10, 2018
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    The U.S. Defense Department oversees the USA"s armed forces and manages over 30 million acres of land. With over 2.8 million service members and civilian employees the department is the world"s largest employer.Dataset SummaryPhenomenon Mapped: Lands managed by the U.S. Department of DefenseGeographic Extent: United States, Guam, Puerto RicoData Coordinate System: WGS 1984Visible Scale: The data is visible at all scalesSource: DOD Military Installations Ranges and Training Areas layer. Publication Date: May 2025This layer is a view of the USA Federal Lands layer. A filter has been used on this layer to eliminate non-Department of Defense lands. For more information on layers for other agencies see the USA Federal Lands layer.What can you do with this layer?This layer is suitable for both visualization and analysis across the ArcGIS system. This layer can be combined with your data and other layers from the ArcGIS Living Atlas of the World in ArcGIS Online and ArcGIS Pro to create powerful web maps that can be used alone or in a story map or other application.Because this layer is part of the ArcGIS Living Atlas of the World it is easy to add to your map:In ArcGIS Online you can add this layer to a map by selecting Add then Browse Living Atlas Layers. A window will open. Type "department of defense" in the search box and browse to the layer. Select the layer then click Add to Map.In ArcGIS Pro open a map and select Add Data from the Map Tab. Select Data at the top of the drop down menu. The Add Data dialog box will open on the left side of the box expand Portal if necessary then select Living Atlas. Type "department of defense" in the search box, browse to the layer then click OK.In both ArcGIS Online and Pro you can change the layer's symbology and view its attribute table. You can filter the layer to show subsets of the data using the filter button in Online or a definition query in Pro.The data can be exported to a file geodatabase, a shape file or other format and downloaded using the Export Data button on the top right of this webpage.This layer can be used as an analytic input in both Online and Pro through the Perform Analysis window Online or as an input to a geoprocessing tool, model, or Python script in Pro.The ArcGIS Living Atlas of the World provides an easy way to explore many other beautiful and authoritative maps on hundreds of topics like this one.Questions?Please leave a comment below if you have a question about this layer, and we will get back to you as soon as possible.

  18. d

    Executive Agreements Database, Statement Concerning the Agreement with...

    • dataone.org
    • dataverse.harvard.edu
    Updated Nov 19, 2023
    + more versions
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    Oona A. Hathaway; Curtis A. Bradley; Jack L. Goldsmith (2023). Executive Agreements Database, Statement Concerning the Agreement with Netherlands Extending The Agreement Of May 3, 2005, As Amended and Extended Concerning the Status Of Military and Civilian Personnel of the United States Department Of Defense Temporarily Present In The Netherlands Antilles and Aruba In Connection with Military Exercises and Training Effected By Exchange Of Notes Act The Hague March 11 and May 1, 2009 Entered Into Force May 3, 2009 [Dataset]. http://doi.org/10.7910/DVN/FRH5VX
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    Dataset updated
    Nov 19, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Oona A. Hathaway; Curtis A. Bradley; Jack L. Goldsmith
    Description
  19. Military Equipment for Local Law Enforcement

    • kaggle.com
    Updated Nov 6, 2021
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    JohnM (2021). Military Equipment for Local Law Enforcement [Dataset]. https://www.kaggle.com/jpmiller/military-equipment-for-local-law-enforcement/code
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 6, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    JohnM
    License

    https://www.usa.gov/government-works/https://www.usa.gov/government-works/

    Description

    The Defense Logistics Agency (DLA) has the Department of Defense mission of disposing of obsolete/unneeded excess property turned in by U.S. military units around the world. The type of property turned in ranges from military-specific equipment and vehicles to generic office furniture, computers, medical items and shop equipment. DLA Disposition Services, one of DLA’s major subordinate commands, disposes of this property in a variety of ways, including reutilization/transfer to other military components or federal agencies, donating through programs like computers for schools, destruction for scrap metal and resale to the general public.

    In the National Defense Authorization Act for fiscal years 1990 and 1991, Congress authorized the transfer of excess DoD property to federal, state and local law enforcement agencies. Congress later passed the NDAA for fiscal year 1997, which allows law enforcement agencies to acquire property for bona fide law enforcement purposes – particularly those associated with counter-drug and counter-terrorism activities. The program has been named in the press and elsewhere as the “1033 Program,” which refers to the numbered section of the 1997 NDAA that granted permanent authority to the Secretary of Defense to transfer defense material to federal, state and local law enforcement agencies.

    The Law Enforcement Support Office, located at DLA Disposition Services Headquarters in Battle Creek, Michigan, is responsible for the management of the LESO/1033 Program and continues to make improvements for efficiency, cost effectiveness, transparency and inventory control.

  20. d

    Executive Agreements Database, Statement Regarding Agreement Between The...

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 19, 2023
    + more versions
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    Oona A. Hathaway; Curtis A. Bradley; Jack L. Goldsmith (2023). Executive Agreements Database, Statement Regarding Agreement Between The United States and Ethiopia Regarding the Status Of U.S. Military Personnel and Civilian Employees of the Department Of Defense Present In Ethiopia Effected by Exchange Of Notes Act Addis Ababa Feb 8 and apr 2, 1997 [Dataset]. http://doi.org/10.7910/DVN/HGFNDK
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    Dataset updated
    Nov 19, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Oona A. Hathaway; Curtis A. Bradley; Jack L. Goldsmith
    Area covered
    Ethiopia
    Description

    KAV 4937 cover memo. Visit https://dataone.org/datasets/sha256%3Ade25f72959ab7587f60c3f25854a0226867ed3219165956283a8c46c17f9dc98 for complete metadata about this dataset.

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CEICdata.com (2009). United States US: Military Expenditure [Dataset]. https://www.ceicdata.com/en/united-states/defense-and-official-development-assistance/us-military-expenditure
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United States US: Military Expenditure

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7 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
May 15, 2009
Dataset provided by
CEIC Data
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: Military Expenditure data was reported at 609.758 USD bn in 2017. This records an increase from the previous number of 600.106 USD bn for 2016. United States US: Military Expenditure data is updated yearly, averaging 277.591 USD bn from Sep 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 711.338 USD bn in 2011 and a record low of 45.380 USD bn in 1960. United States US: Military Expenditure 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. Military expenditures data from SIPRI are derived from the NATO definition, which includes all current and capital expenditures on the armed forces, including peacekeeping forces; defense ministries and other government agencies engaged in defense projects; paramilitary forces, if these are judged to be trained and equipped for military operations; and military space activities. Such expenditures include military and civil personnel, including retirement pensions of military personnel and social services for personnel; operation and maintenance; procurement; military research and development; and military aid (in the military expenditures of the donor country). Excluded are civil defense and current expenditures for previous military activities, such as for veterans' benefits, demobilization, conversion, and destruction of weapons. This definition cannot be applied for all countries, however, since that would require much more detailed information than is available about what is included in military budgets and off-budget military expenditure items. (For example, military budgets might or might not cover civil defense, reserves and auxiliary forces, police and paramilitary forces, dual-purpose forces such as military and civilian police, military grants in kind, pensions for military personnel, and social security contributions paid by one part of government to another.); ; Stockholm International Peace Research Institute (SIPRI), Yearbook: Armaments, Disarmament and International Security.; ; Data for some countries are based on partial or uncertain data or rough estimates. For additional details please refer to the military expenditure database on the SIPRI website: https://sipri.org/databases/milex

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