91 datasets found
  1. t

    VETERAN STATUS - DP02_MAN_P - Dataset - CKAN

    • portal.tad3.org
    Updated Nov 18, 2024
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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.

  2. Services and Support Programs for Military Service Members and Veterans,...

    • s.cnmilf.com
    • catalog.data.gov
    • +1more
    Updated Aug 13, 2023
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    National Center for Education Statistics (NCES) (2023). Services and Support Programs for Military Service Members and Veterans, 2012-13 [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/services-and-support-programs-for-military-service-members-and-veterans-2012-13-96ddf
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    Dataset updated
    Aug 13, 2023
    Dataset provided by
    National Center for Education Statisticshttps://nces.ed.gov/
    Description

    Services and Support Programs for Military Service Members and Veterans, 2012-13 (PEQIS 19), is a study that is part of the Postsecondary Education Quick Information System (PEQIS) program; program data is available since 1997-98 at . PEQIS 19 (https://nces.ed.gov/peqis/) is a cross-sectional survey that collected information on the services and support programs available to students who are military service members and veterans at the institution. The study was conducted using self-administered paper-and-pencil questionnaires of a person at the postsecondary institution that is familiar with the institution programs for military service members and veterans. Key statistics produced from PEQIS 19 were services and support programs for military members and veterans.

  3. d

    TIGER/Line Shapefile, 2019, nation, U.S., Military Installation National...

    • catalog.data.gov
    Updated Jan 15, 2021
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    (2021). TIGER/Line Shapefile, 2019, nation, U.S., Military Installation National Shapefile [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2019-nation-u-s-military-installation-national-shapefile
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    Dataset updated
    Jan 15, 2021
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The Census Bureau includes landmarks such as military installations in the MTDB for locating special features and to help enumerators during field operations. In 2012, the Census Bureau obtained the inventory and boundaries of most military installations from the U.S. Department of Defense (DOD) for Air Force, Army, Marine, and Navy installations and from the U.S. Department of Homeland Security (DHS) for Coast Guard installations. The military installation boundaries in this release represent the updates the Census Bureau made in 2012 in collaboration with DoD.

  4. WWII: number of people mobilized by selected countries 1937-1945

    • statista.com
    Updated Aug 9, 2024
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    Statista (2024). WWII: number of people mobilized by selected countries 1937-1945 [Dataset]. https://www.statista.com/statistics/1342260/wwii-mobilization-by-country/
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    Dataset updated
    Aug 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    World
    Description

    Over the course of the Second World War approximately 127.2 million people were mobilized. The world's population in 1940 was roughly 2.3 billion, meaning that between five and six percent of the world was drafted into the military in some capacity. Approximately one in every 25 people mobilized were women, who generally served in an administrative or medical role, although hundreds of thousands of women did see active combat. Largest armies In absolute numbers, the Soviet Union mobilized the largest number of people at just under 34.5 million, and this included roughly 35 percent of the USSR's male population. By the war's end, more Soviets were mobilized than all European Axis powers combined. However, in relative terms, it was Germany who mobilized the largest share of its male population, with approximately 42 percent of men serving. The USSR was forced to find a balance between reinforcing its frontlines and maintaining agricultural and military production to supply its army (in addition to those in annexed territory after 1941), whereas a large share of soldiers taken from the German workforce were replaced by workers drafted or forcibly taken from other countries (including concentration camp prisoners and PoWs). Studying the figures The figures given in these statistics are a very simplified and rounded overview - in reality, there were many nuances in the number of people who were effectively mobilized for each country, their roles, and their status as auxiliary, collaborative, or resistance forces. The British Empire is the only power where distinctions are made between the metropole and its colonies or territories, whereas breakdowns of those who fought in other parts of Asia or Africa remains unclear. Additionally, when comparing this data with total fatalities, it is important to account for the civilian death toll, i.e. those who were not mobilized.

  5. N

    Soldiers Grove, WI Age Group Population Dataset: A Complete Breakdown of...

    • neilsberg.com
    csv, json
    Updated Feb 22, 2025
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    Neilsberg Research (2025). Soldiers Grove, WI Age Group Population Dataset: A Complete Breakdown of Soldiers Grove Age Demographics from 0 to 85 Years and Over, Distributed Across 18 Age Groups // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/4546e330-f122-11ef-8c1b-3860777c1fe6/
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    json, csvAvailable download formats
    Dataset updated
    Feb 22, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Wisconsin, Soldiers Grove
    Variables measured
    Population Under 5 Years, Population over 85 years, Population Between 5 and 9 years, Population Between 10 and 14 years, Population Between 15 and 19 years, Population Between 20 and 24 years, Population Between 25 and 29 years, Population Between 30 and 34 years, Population Between 35 and 39 years, Population Between 40 and 44 years, and 9 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the age groups. For age groups we divided it into roughly a 5 year bucket for ages between 0 and 85. For over 85, we aggregated data into a single group for all ages. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Soldiers Grove population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Soldiers Grove. The dataset can be utilized to understand the population distribution of Soldiers Grove by age. For example, using this dataset, we can identify the largest age group in Soldiers Grove.

    Key observations

    The largest age group in Soldiers Grove, WI was for the group of age 10 to 14 years years with a population of 80 (13.51%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Soldiers Grove, WI was the 5 to 9 years years with a population of 7 (1.18%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

    Age groups:

    • Under 5 years
    • 5 to 9 years
    • 10 to 14 years
    • 15 to 19 years
    • 20 to 24 years
    • 25 to 29 years
    • 30 to 34 years
    • 35 to 39 years
    • 40 to 44 years
    • 45 to 49 years
    • 50 to 54 years
    • 55 to 59 years
    • 60 to 64 years
    • 65 to 69 years
    • 70 to 74 years
    • 75 to 79 years
    • 80 to 84 years
    • 85 years and over

    Variables / Data Columns

    • Age Group: This column displays the age group in consideration
    • Population: The population for the specific age group in the Soldiers Grove is shown in this column.
    • % of Total Population: This column displays the population of each age group as a proportion of Soldiers Grove total population. Please note that the sum of all percentages may not equal one due to rounding of values.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Soldiers Grove Population by Age. You can refer the same here

  6. T

    Data from: America's Women Veterans: Military Service History and VA Benefit...

    • data.va.gov
    • datahub.va.gov
    • +2more
    application/rdfxml +5
    Updated Sep 12, 2019
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    (2019). America's Women Veterans: Military Service History and VA Benefit Utilization Statistics [Dataset]. https://www.data.va.gov/dataset/America-s-Women-Veterans-Military-Service-History-/qypm-ft8a
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    application/rssxml, csv, xml, tsv, json, application/rdfxmlAvailable download formats
    Dataset updated
    Sep 12, 2019
    Description

    This comprehensive report chronicles the history of women in the military and as Veterans, profiles the characteristics of women Veterans in 2009, illustrates how women Veterans in 2009 utilized some of the major benefits and services offered by the Department of Veterans Affairs (VA), and discusses the future of women Veterans in relation to VA. The goal of this report is to gain an understanding of who our women Veterans are, how their military service affects their post-military lives, and how they can be better served based on these insights.

  7. d

    Attitude to the Military - Dataset - B2FIND

    • b2find.dkrz.de
    Updated Oct 31, 2023
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    (2023). Attitude to the Military - Dataset - B2FIND [Dataset]. https://b2find.dkrz.de/dataset/3f97286b-7622-50d9-873e-8cabd573bd5a
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    Dataset updated
    Oct 31, 2023
    Description

    Attitude of the population of the FRG to the military, defense policy and NATO. Topics: Attitude to rearmament of the FRG and a professional or volunteer army; military preparedness; military knowledge; attitude to military drill and obedience; position of the FRG in NATO; attitude and relationship of the Germans to American occupying forces; reasons and evaluation of presence of American soldiers in the FRG; attitude to military service; image of the soldiers of selected countries; social distance from Americans; evaluation of Russian recommendations about reunification; evaluation of the cultural achievements of various peoples; personal participation in the world wars; relative social prestige of selected occupations; membership in a club, trade union or party; honorary activities; party preference. Demography: age (classified); sex; religious denomination; school education; occupation; household income; head of household; state; refugee status. Interviewer rating: social class and willingness of respondent to cooperate; number of contact attempts; city size. Also encoded were: identification of interviewer; sex of interviewer and age of interviewer. Einstellung der Bevölkerung der BRD zum Militär, zur Verteidigungspolitik und zur NATO. Themen: Einstellung zur Wiederbewaffnung der BRD und zu einem Berufs- oder Freiwilligenheer; Wehrbereitschaft; militärische Kenntnisse; Einstellung zu militärischem Drill und Gehorsam; Stellung der BRD in der NATO; Einstellung und Verhältnis der Deutschen zu den amerikanischen Besatzungstruppen; Gründe und Bewertung der Anwesenheit amerikanischer Soldaten in der BRD; Einstellung zum Militärdienst; Image der Soldaten ausgewählter Länder; soziale Distanz zu Amerikanern; Bewertung der russischen Vorschläge über eine Wiedervereinigung; Bewertung der kulturellen Leistungen verschiedener Völker; eigene Teilnahme an den Weltkriegen; relatives Sozialprestige ausgewählter Berufe; Mitgliedschaft in einem Verein, einer Gewerkschaft oder einer Partei; ehrenamtliche Tätigkeiten; Parteipräferenz. Demographie: Alter (klassiert); Geschlecht; Konfession; Schulbildung; Beruf; Haushaltseinkommen; Haushaltungsvorstand; Bundesland; Flüchtlingsstatus. Interviewerrating: Kooperationsbereitschaft und Schichtzugehörigkeit des Befragten; Anzahl der Kontaktversuche; Ortsgröße. Zusätzlich wurden verkodet: Intervieweridentifikation; Interviewergeschlecht und Intervieweralter. Multi-stage random sample Mehrstufige Zufallsauswahl

  8. H

    Military Recruits by 3 Digit ZIP

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Nov 6, 2014
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    Garret Christensen (2014). Military Recruits by 3 Digit ZIP [Dataset]. http://doi.org/10.7910/DVN/27764
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 6, 2014
    Dataset provided by
    Harvard Dataverse
    Authors
    Garret Christensen
    License

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

    Time period covered
    2001 - 2010
    Description

    This data consists of three files:lists of all enlisted applicants, contracts, and accessions to the US military from October 2000 to September 2010, as well as a small Excel file that serves as a data dictionary. Individuals are identified only by 3 digit ZIP codes, and do not contain an individual identifier so they cannot be reliably tracked across stages of enlistment. The data was obtained through Freedom of Information Act request 11-F-0024, filed by Garret Christensen in 2010. The only documentation provided with the request is included here, in the Excel file.

  9. hms-model-93-data

    • kaggle.com
    zip
    Updated Mar 18, 2024
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    greySnow (2024). hms-model-93-data [Dataset]. https://www.kaggle.com/datasets/shlomoron/hms-model-93-data/suggestions?status=pending&yourSuggestions=true
    Explore at:
    zip(1743647660 bytes)Available download formats
    Dataset updated
    Mar 18, 2024
    Authors
    greySnow
    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

    Dataset

    This dataset was created by greySnow

    Released under Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)

    Contents

  10. d

    Problems of the Presence of American Troops in Germany - Dataset - B2FIND

    • b2find.dkrz.de
    Updated Apr 7, 2023
    + more versions
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    (2023). Problems of the Presence of American Troops in Germany - Dataset - B2FIND [Dataset]. https://b2find.dkrz.de/dataset/d9fefcd2-77ab-559a-ba74-12a77f7d219a
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    Dataset updated
    Apr 7, 2023
    Area covered
    Germany
    Description

    Judgement on the presence of American troops in West Germany. Topics: Most important problems of the FRG; attitude to participation of the FRG in the costs of stationing NATO military forces and to American troops remaining in the FRG; attitude to a reduction in American military forces; general judgement on the American soldiers; perceived changes in the relationship of American soldiers to the German civilian population; criticism of the way of life of American soldiers; frequency of contact with American soldiers after the war; attitude to construction of housing settlements for the families living in Germany; perception of the Americans as occupying forces or protective forces; attitude to children of members of the occupying forces and their mothers; judgement on the confiscation of buildings by Americans; residency; participation in the world war and deployment in battle against the Americans. Demography: membership in clubs, trade unions or a party und offices taken on there; party preference; age (classified); sex; marital status; religious denomination; school education; occupation; employment; household income; head of household; state; Interviewer rating: social class and willingness of respondent to cooperate; number of contact attempts; city size. Also encoded was: identification of interviewer; sex of interviewer and age of interviewer. Beurteilung der Anwesenheit der amerikanischen Truppen in Westdeutschland. Themen: Wichtigste Probleme der BRD; Einstellung zu einer Beteiligung der BRD an den Stationierungskosten der NATO-Streitkräfte und zu einem Verbleib der amerikanischen Truppen in der BRD; Einstellung zu einer Verringerung der amerikanischen Streitkräfte; allgemeine Beurteilung der amerikanischen Soldaten; wahrgenommene Veränderungen im Verhältnis der amerikanischen Soldaten zur deutschen Zivilbevölkerung; Kritik an der Lebensweise amerikanischer Soldaten; Kontakthäufigkeit zu amerikanischen Soldaten nach dem Kriege; Einstellung zum Bau von Wohnsiedlungen für die in Deutschland lebenden Familien; Wahrnehmung der Amerikaner als Besatzungstruppen oder Schutztruppe; Einstellung zu Besatzungskindern und ihren Müttern; Beurteilung der Beschlagnahme von Häusern durch Amerikaner; Teilnahme am Weltkrieg und Einsatz im Kampf gegen die Amerikaner. Demographie: Mitgliedschaft in Vereinen, Gewerkschaften oder einer Partei und dabei übernommene Ämter; Parteipräferenz; Alter (klassiert); Geschlecht; Familienstand; Konfession; Schulbildung; Beruf; Berufstätigkeit; Haushaltseinkommen; Haushaltungsvorstand; Bundesland; Flüchtlingsstatus. Interviewerrating: Schichtzugehörigkeit und Kooperationsbereitschaft des Befragten; Anzahl der Kontaktversuche; Ortsgröße. Zusätzlich verkodet wurde: Intervieweridentifikation; Interviewergeschlecht und Intervieweralter.

  11. A

    ‘US Military Spending by Year (1960 - 2020)’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Jan 28, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘US Military Spending by Year (1960 - 2020)’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-us-military-spending-by-year-1960-2020-3228/923615bf/?iid=000-582&v=presentation
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    Dataset updated
    Jan 28, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Area covered
    United States
    Description

    Analysis of ‘US Military Spending by Year (1960 - 2020)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/brandonconrady/us-military-spending-by-year-1960-2020 on 28 January 2022.

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

    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

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

  12. hms-model-85-data

    • kaggle.com
    zip
    Updated Mar 17, 2024
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    greySnow (2024). hms-model-85-data [Dataset]. https://www.kaggle.com/datasets/shlomoron/hms-model-85-data/code
    Explore at:
    zip(1743677067 bytes)Available download formats
    Dataset updated
    Mar 17, 2024
    Authors
    greySnow
    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

    Dataset

    This dataset was created by greySnow

    Released under Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)

    Contents

  13. C

    USA Department of Defense Lands

    • data.colorado.gov
    • hub.arcgis.com
    application/rdfxml +5
    Updated Jan 29, 2025
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    (2025). USA Department of Defense Lands [Dataset]. https://data.colorado.gov/dataset/USA-Department-of-Defense-Lands/fbpx-8csk
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    xml, csv, application/rssxml, json, application/rdfxml, tsvAvailable download formats
    Dataset updated
    Jan 29, 2025
    Area covered
    United States
    Description
    The U.S. Defense Department oversees the nation'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 Summary
    Phenomenon Mapped: Lands managed by the U.S. Department of Defense
    Coordinate System: Web Mercator Auxiliary Sphere
    Extent: United States, Guam, Puerto Rico
    Visible Scale: The data is visible at all scales
    Source: DOD Military Installations Ranges and Training Areas layer
    Publication Date: December 2023

    This 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.
  14. 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

  15. U.S. public confidence in the armed forces 1975-2024

    • statista.com
    Updated Oct 1, 2024
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    Statista (2024). U.S. public confidence in the armed forces 1975-2024 [Dataset]. https://www.statista.com/statistics/239149/confidence-in-the-us-armed-forces/
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    Dataset updated
    Oct 1, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2024, 61 percent of survey respondents in the United States said they had either a great deal or quite a lot of confidence in the military. This is a slight increase from the previous year, when 640percent of respondents had confidence in the U.S. military. Additionally, this is an increase of six points from 1975 levels, when only 58 percent of Americans had confidence in the military.

  16. H

    Replication Data for: Measuring Arms: Introducing the Global Military...

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Jan 30, 2024
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    Miriam Barnum; Christopher J. Fariss; Jonathan N. Markowitz; Gaea Morales (2024). Replication Data for: Measuring Arms: Introducing the Global Military Spending Dataset [Dataset]. http://doi.org/10.7910/DVN/RKJAKJ
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 30, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    Miriam Barnum; Christopher J. Fariss; Jonathan N. Markowitz; Gaea Morales
    License

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

    Description

    Agreement between observed country-year-variable values (orange boxes) and the posterior predicted point estimates for which the observed value is observed (light grey boxes). Dark grey boxes show the distribution for the full range of the posterior predicted point estimates (including estimates for which the original value is missing). Across all variables, these estimated values have a lower median value due to a bias in the missingness in the original data. We have more missing observations in earlier years, for which population levels are lower than in later years in the series. Conveniently for users, the posterior predicted values are estimated using the original unit-of-measurement. This means that the visual discrepancy is not an empirical discrepancy. It is simply the difference in the unit-of-measurement used for the observed dataset values (e.g., thousands of dollars units).

  17. Jewish Soldiers of the Habsburg Army (1788-1820)

    • zenodo.org
    • data.niaid.nih.gov
    Updated Jan 29, 2025
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    Ilya Berkovich; Ilya Berkovich (2025). Jewish Soldiers of the Habsburg Army (1788-1820) [Dataset]. http://doi.org/10.5281/zenodo.13787516
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    Dataset updated
    Jan 29, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Ilya Berkovich; Ilya Berkovich
    License

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

    Description

    With more than 1,500 individual entries, this is the inaugural instalment of my research database collated in the framework of the Project Forgotten Soldiers: Jewish Military Experience in the Habsburg Monarchy. This is an open access database, and everyone is welcome to use it according to their own scholarly and personal interests. In 1,189 cases we have official documented records confirming the soldiers were Jewish. In another 313 entries I was able to identify likely Jewish soldiers based on circumstantial evidence cross-referencing names and places of birth, with the presence of confirmed Jewish soldiers drafted into the same units as part of the same recruitment drive. This dataset further includes evidence for 156 spouses and 47 children. While military records do mentions these, their number suggests that the Habsburg army preferred to enlist unmarried men.

    The database is structured in a similar way to an official individual entry in the Habsburg military records. These were arranged in tables, with soldiers listed by seniority. Name, place and land of birth are followed by age and religion. This latter rubric allows identifying the bulk of the Jewish soldiers. Also included in the record is marital status, profession (if any), number, names and ages of children (if any), followed by a short summary text of the soldier’s service itinerary. While not always consistent in detail, these texts mention enlistment dates, transfers between units, promotions, desertions, periods as prisoner of war and military awards (if any). I have taken the material from the personal records and added several additional parameters:

    • The soldiers are entered into the database according to their date of enlistment. This is followed by a colour-coded table showing their years of service. To see the meaning of the different colours employed, scroll to the legend at the end of the dataset.
    • Following the years of service, we see the date when the soldier left service (final year in service for incomplete service records). When known, the reason the soldier left the army is given (discharge/ death/ desertion etc).
    • Then come the three most important columns within the table: service record, primary sources and units. At first glance, these columns have only a few letters and numbers, but bring your mouse courser onto the relevant field marked with red triangles. An additional window will then open:

    a. Service Record: Shows the entire service record of the soldier arranged by date. I use original German as it appears in the archival records. If you see spelling differences with modern German – they are there for a reason.

    b. Primary Sources: Provides the information on all the archival records consulted to reconstruct the service itinerary. The number in the field denotes the number of the archival cartons consulted.

    c. Units: Number of units in which a soldier serves. Bringing the cursor on to the field will open their list. Most Jewish soldiers served in the line infantry (IR) and the Military Transport Corps (MFWK or MFK). However, there were also Jewish sharpshooters, cavalrymen, gunners and even a few members of the nascent Austrian Navy.

    • The next two columns provide entries of the soldier’s conduct and medical condition, which in Habsburg military jargon was referred to rather callously as Defekten. I note the original medical diagnoses verbatim. When possible to identify, I note the modern medical term.
    • General database-wide parameters are then noted in the next part of the table. Among others, it provides information on enlistment type (conscript/ volunteer?), main branches of service (such as Infantry/ Cavalry/ Artillery), and roles within the military (such as non-commissioned officers/ drummers/ medics).
    • Concluding this part of the table are columns covering desertions, periods as prisoner of war and awards of the army cannon cross (for veterans of 1813-14) and other military awards.
    • The last column provides the original German outtake rubric as to how the soldier left service. In special cases, additional service notes are provides on the right.

    How to use this dataset

    This depends on what you are looking for. Firstly, download the dataset on to your computer via the link provided below. It is a simple Excel file which is easy to work with. If you wish to find out whether one of your ancestors served in the Habsburg army, use a simple keyword search. Please note that in our period there was no single accepted orthography meaning that some letters were used interchangeably (for instance B/P; D/T). There were also various patronymic suffices used in different parts of the monarchy (-witz in German/ -wicz in Polish/ -vits in Hungarian). Habsburg military clerks were mostly German speakers who often recorded the name phonetically. For instance, Jankel/ Jankl/ Jacob/ Jacobus all denote the same name. A Jewish teenager who identified himself as Moische when first reporting to duty, may have stayed so in the military records for decades, even if he was already a non-commissioned officer whose subordinates referred to as Herr Corporal.

    If you study the history of concrete Jewish communities, use the keyword search and the filter option to find entries in the database where this locality is mentioned. Some places like Prague and Lublin could be identified effortlessly. In other cases (and see the above point on German-speaking clerks), place names were recorded phonetically. The military authority usually stuck to official Polish names in Galicia, and Hungarian in the Lands of the Crown of St. Stephan. In reality, a Jewish recruit from Transcarpathian Ruthenia could have his place of birth recorded in Hungarian, Romanian or Rusin. When I could not identify the place in question, I marked it with italics. Do you think you identified something I could not? Excellent! Then please write me, and I will correct the entry in the next instalment of this database.

    I should stress that, currently, the database is not statistically representative. I have worked chronologically, meaning that there are disproportionally more entries for Jewish soldiers from the Turkish War, the first two Coalition Wars, and the Wars of 1805 and 1809. If you look at some of my other databases (for instance, that of the 1st Line Infantry Regiment 'Kaiser'), you will find least as many Jews who served in the wars of 1813-15. I will cover these in due course. This said, using the filter option of the Excel sheet, you can already make some individual queries. For instance, did Jewish grenadiers meet the minimal height requirement to be eligible for transfer into the elite infantry? (Hint: they did not!) If you are interested in the historical study of nutritional standards, compare the height of the soldiers with their year and place of birth. In my other project, I made calculations of the average height of Habsburg soldiers and I can already reveal that Jewish conscripts were, on average, several centimetres smaller than their non-Jewish comrades drafted in the same annual intake. Whatever stereotypes said, most Jews in the Habsburg Monarchy around 1800 were very poor and the sad fact of malnutrition as a child is reflected in their height as adults.

    I should stress that this is a cumulative database. ZENODO has an excellent feature allowing updated versions to supersede earlier files while retaining the same DOI (Digital Object Identifier) and metadata. As my research progresses, I plan to upload new versions of this database bi-annually. This includes not only adding new entries, but also expanding and correcting existing ones. It might well be that the service record of a soldier covered up to 1806 will be brought to a later date, possibly even to his discharge from the army. If you have not found whom you are looking for, or if you want to work with larger samples for your research, visit this page again in a few months’ time. And if you do use this database for scholarly research (by all means, please do), do not forget to cite it as you would cite any other item in your bibliography! If you are a museum professional and you want to employ material from your database to illustrate your exhibitions, you are welcome, but please cite this resource for others to learn. Links to this database will also be appreciated.

  18. Department of Defense (DOD)

    • catalog.data.gov
    • data.amerigeoss.org
    • +1more
    Updated Jan 24, 2025
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    Social Security Administration (2025). Department of Defense (DOD) [Dataset]. https://catalog.data.gov/dataset/department-of-defense-dod
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    Dataset updated
    Jan 24, 2025
    Dataset provided by
    Social Security Administrationhttp://www.ssa.gov/
    Description

    The purpose of this agreement is for SSA to verify the SSNs and other identifying information, and confirm citizenship information to the Defense Manpower Data Center (DMDC) of the Department of Defense. DMDC will use the data provided by SSA to validate the identity of individuals entering or serving in the Armed Forces and to identify potential enlistees and members of the military who are aliens or non-citizens.

  19. hms-model-90-data

    • kaggle.com
    zip
    Updated Mar 18, 2024
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    greySnow (2024). hms-model-90-data [Dataset]. https://www.kaggle.com/datasets/shlomoron/hms-model-90-data/code
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    zip(1743678098 bytes)Available download formats
    Dataset updated
    Mar 18, 2024
    Authors
    greySnow
    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

    Dataset

    This dataset was created by greySnow

    Released under Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)

    Contents

  20. USA SPENDING EDUCATION CH30 B124 POST-VIETNAM ERA VETERANS’ EDUCATIONAL...

    • catalog.data.gov
    • data.va.gov
    • +1more
    Updated Nov 23, 2021
    + more versions
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    Department of Veterans Affairs (2021). USA SPENDING EDUCATION CH30 B124 POST-VIETNAM ERA VETERANS’ EDUCATIONAL ASSISTANCE MAY2019 [Dataset]. https://catalog.data.gov/dataset/usa-spending-education-ch30-b124-post-vietnam-era-veterans-educational-assistance-may2019
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    Dataset updated
    Nov 23, 2021
    Dataset provided by
    United States Department of Veterans Affairshttp://va.gov/
    Area covered
    Vietnam
    Description

    VBA EDUCATION 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.

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(2024). VETERAN STATUS - DP02_MAN_P - Dataset - CKAN [Dataset]. https://portal.tad3.org/dataset/veteran-status-dp02_man_p

VETERAN STATUS - DP02_MAN_P - Dataset - CKAN

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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.

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