67 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. K

    US Military Bases

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Jun 27, 2011
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    US Bureau of Transportation Statistics (BTS) (2011). US Military Bases [Dataset]. https://koordinates.com/layer/22828-us-military-bases/
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    mapinfo tab, mapinfo mif, geopackage / sqlite, kml, pdf, dwg, shapefile, geodatabase, csvAvailable download formats
    Dataset updated
    Jun 27, 2011
    Dataset authored and provided by
    US Bureau of Transportation Statistics (BTS)
    Area covered
    United States,
    Description

    The dataset depicts the authoritative boundaries of the most commonly known Department of Defense (DoD) sites, installations, ranges, and training areas in the United States and Territories. These sites encompass land which is federally owned or otherwise managed. This dataset was created from source data provided by the four Military Service Component headquarters and was compiled by the Defense Installation Spatial Data Infrastructure (DISDI) Program within the Office of the Deputy Under Secretary of Defense for Installations and Environment, Business Enterprise Integration Directorate. Sites were selected from the 2010 Base Structure Report (BSR), a summary of the DoD Real Property Inventory. This list does not necessarily represent a comprehensive collection of all Department of Defense facilities, and only those in the fifty United States and US Territories were considered for inclusion. For inventory purposes, installations are comprised of sites, where a site is defined as a specific geographic location of federally owned or managed land and is assigned to military installation. DoD installations are commonly referred to as a base, camp, post, station, yard, center, homeport facility for any ship, or other activity under the jurisdiction, custody, control of the DoD.

    This layer is sourced from maps.bts.dot.gov.

  3. United States US: Military Expenditure

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). 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
    Feb 15, 2025
    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

  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. w

    Dataset of armed forces personnel of countries per year in Central America...

    • workwithdata.com
    Updated Apr 9, 2025
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    Work With Data (2025). Dataset of armed forces personnel of countries per year in Central America (Historical) [Dataset]. https://www.workwithdata.com/datasets/countries-yearly?col=armed_forces%2Ccountry%2Cdate&f=1&fcol0=region&fop0=%3D&fval0=Central+America
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    Dataset updated
    Apr 9, 2025
    Dataset authored and provided by
    Work With Data
    License

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

    Area covered
    Central America
    Description

    This dataset is about countries per year in Central America. It has 512 rows. It features 3 columns: country, and armed forces personnel.

  6. Gulf War - Pre 9/11 Veterans: Trends in Cumulative Users by VA Program

    • catalog.data.gov
    • data.va.gov
    • +2more
    Updated Nov 23, 2021
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    Department of Veterans Affairs (2021). Gulf War - Pre 9/11 Veterans: Trends in Cumulative Users by VA Program [Dataset]. https://catalog.data.gov/dataset/gulf-war-pre-9-11-veterans-trends-in-cumulative-users-by-va-program
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    Dataset updated
    Nov 23, 2021
    Dataset provided by
    United States Department of Veterans Affairshttp://va.gov/
    Description

    This data set consists of one row per federal fiscal year (FY) from FY 2005 - FY 2019, and reports the number and percent of users each of seven VA programs for Veterans who were in service at any time between August 2, 1990, and September 10, 2001, the dates of the Pre-9/11 Gulf War era. The denominator of percent is the number of living Veterans in the FY. The number and percent of users is cumulative since FY 2005. Thus, for example FY 2006 data includes all Veterans who served in the era, were alive at some time during FY 2006 and participated in the program at any time during FY 2005 and FY 2006.

  7. w

    Dataset of armed forces personnel and median age of countries per year in...

    • workwithdata.com
    Updated Apr 9, 2025
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    Work With Data (2025). Dataset of armed forces personnel and median age of countries per year in South America (Historical) [Dataset]. https://www.workwithdata.com/datasets/countries-yearly?col=armed_forces%2Ccountry%2Cdate%2Cmedian_age&f=1&fcol0=region&fop0=%3D&fval0=South+America
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    Dataset updated
    Apr 9, 2025
    Dataset authored and provided by
    Work With Data
    License

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

    Area covered
    South America
    Description

    This dataset is about countries per year in South America. It has 768 rows. It features 4 columns: country, armed forces personnel, and median age.

  8. e

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

    • b2find.eudat.eu
    Updated Oct 20, 2023
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    (2023). Problems of the Presence of American Troops in Germany - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/d9fefcd2-77ab-559a-ba74-12a77f7d219a
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    Dataset updated
    Oct 20, 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.

  9. N

    Soldiers Grove, WI Age Cohorts Dataset: Children, Working Adults, and...

    • neilsberg.com
    csv, json
    Updated Feb 22, 2025
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    Neilsberg Research (2025). Soldiers Grove, WI Age Cohorts Dataset: Children, Working Adults, and Seniors in Soldiers Grove - Population and Percentage Analysis // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/4ba44ec3-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 Over 65 Years, Population Under 18 Years, Population Between 18 and 64 Years, Percent of Total Population for Age Groups
    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 cohorts. For age cohorts we divided it into three buckets Children ( Under the age of 18 years), working population ( Between 18 and 64 years) and senior population ( Over 65 years). 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 by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Soldiers Grove. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

    Key observations

    The largest age group was 18 to 64 years with a poulation of 288 (48.65% of the total population). 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 cohorts:

    • Under 18 years
    • 18 to 64 years
    • 65 years and over

    Variables / Data Columns

    • Age Group: This column displays the age cohort for the Soldiers Grove population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
    • Population: The population for the age cohort in Soldiers Grove is shown in the following column.
    • Percent of Total Population: The population as a percent of total population of the Soldiers Grove is shown in the following column.

    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

  10. 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
    Explore at:
    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: 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.

  11. 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

  12. e

    Attitude to the Military - Dataset - B2FIND

    • b2find.eudat.eu
    Updated Jun 17, 2011
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    (2011). Attitude to the Military - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/3f97286b-7622-50d9-873e-8cabd573bd5a
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    Dataset updated
    Jun 17, 2011
    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 Oral survey with standardized questionnaire

  13. A

    ‘Veteran Employment Outcomes’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Jul 22, 2020
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2020). ‘Veteran Employment Outcomes’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-veteran-employment-outcomes-513e/e623367d/?iid=012-149&v=presentation
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    Dataset updated
    Jul 22, 2020
    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

    Description

    Analysis of ‘Veteran Employment Outcomes’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/mpwolke/cusersmarildownloadsvetcsv on 28 January 2022.

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

    Context

    Veteran Employment Outcomes (VEO) are new experimental U.S. Census Bureau statistics on labor market outcomes for recently discharged Army veterans. These statistics are tabulated by military specialization, service characteristics, employer industry (if employed), and veteran demographics. They are generated by matching service member information with a national database of jobs, using state-of-the-art confidentiality protection mechanisms to protect the underlying data.

    https://lehd.ces.census.gov/data/veo_experimental.html

    Content

    "The VEO are made possible through data sharing partnerships between the U.S. Army, State Labor Market Information offices, and the U.S. Census Bureau. VEO data are currently available at the state and national level."

    "Veteran Employment Outcomes (VEO) are experimental tabulations developed by the Longitudinal Employer-Household Dynamics (LEHD) program in collaboration with the U.S. Army and state agencies. VEO data provides earnings and employment outcomes for Army veterans by rank and military occupation, as well as veteran and employer characteristics. VEO are currently released as a research data product in "experimental" form."

    "The source of veteran information in the VEO is administrative record data from the Department of the Army, Office of Economic and Manpower Analysis. This personnel data contains fields on service member characteristics, such as service start and end dates, occupation, pay grade, characteristics at entry (e.g. education and test scores), and demographic characteristics (e.g. sex, race, and ethnicity). Once service member records are transferred to the Census Bureau, personally-identifying information is stripped and veterans are assigned a Protected Identification Key (PIK) that allows for them to be matched with their employment outcomes in Census Bureau jobs data."

    Earnings, and Employment Concepts

    Earnings "Earnings are total annual earnings for attached workers from all jobs, converted to 2018 dollars using the CPI-U. For the annual earnings tabulations, we impose two labor force attachment restrictions. First, we drop veterans who earn less than the annual equivalent of full-time work at the prevailing federal minimum wage. Additionally, we drop veterans with two or more quarters with no earnings in the reference year. These workers are likely to be either marginally attached to the labor force or employed in non-covered employment."

    Employment

    "While most VEO tabulations include earnings from all jobs, tabulations by employer characteristics only consider the veteran's main job for that year. Main jobs are defined as the job for which veterans had the highest earnings in the reference year. To attach employer characteristics to that job, we assign industry and geography from the highest earnings quarter with that employer in the year. For multi-establishment firms, we use LEHD unit-to-worker imputations to assign workers to establishments, and then assign industry and geography."

    https://lehd.ces.census.gov/data/veo_experimental.html

    Acknowledgements

    United States Census Bureau

    https://lehd.ces.census.gov/data/veo_experimental.html

    Photo by Robert Linder on Unsplash

    Inspiration

    U.S. Veterans.

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

  14. United States US: Military Expenditure: % of GDP

    • ceicdata.com
    Updated Mar 15, 2009
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    CEICdata.com (2009). 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
    Explore at:
    Dataset updated
    Mar 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: % 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.

  15. d

    Department of Defense Numbers for Traumatic Brain Injury

    • catalog.data.gov
    • data.wu.ac.at
    Updated Nov 29, 2020
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    Department of Defense Inspector General (2020). Department of Defense Numbers for Traumatic Brain Injury [Dataset]. https://catalog.data.gov/dataset/department-of-defense-numbers-for-traumatic-brain-injury
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    Dataset updated
    Nov 29, 2020
    Dataset provided by
    Department of Defense Inspector General
    Description

    This information is designed to provide service members, their families, veterans, the general public, and other concerned citizens with the most comprehensive and accurate figures available regarding diagnosed cases of TBI within the U.S. military. Information is collected from electronic medical records and analyzed by the Defense and Veterans Brain Injury Center in cooperation with the Armed Forces Health Surveillance Center. Numbers for the current year will be updated on a quarterly basis. Other data will be updated annually. At this time, the MHS is unable to provide information regarding cause of injury or location because that information is not available in most medical records. The numbers represent actual medical diagnoses of TBI within the U.S. Military. Other, larger numbers routinely reported in the media must be considered inaccurate because they do not reflect actual medical diagnoses. Many of these larger numbers are developed utilizing sources such as the Post Deployment Health Assessment (PDHA) or Post Deployment Health Reassessment (PDHRA). However, these documents are assessment tools with TBI screening questions and are not diagnostic tools.

  16. 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)

  17. H

    Replication Data for: Facing U.S. Extraterritorial Pressure: American Troops...

    • dataverse.harvard.edu
    Updated Nov 2, 2020
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    Asif Efrat (2020). Replication Data for: Facing U.S. Extraterritorial Pressure: American Troops in Foreign Courts during the Cold War [Dataset]. http://doi.org/10.7910/DVN/XEMMCN
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 2, 2020
    Dataset provided by
    Harvard Dataverse
    Authors
    Asif Efrat
    License

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

    Description

    This dataset includes information on how countries hosting American troops treated those troops who committed crimes: whether offending troops faced trial before local courts, and if so - what was the verdict and punishment. The data cover the period 1954-1970. The dataset also includes other information on the host countries (e.g., GDP per capita, judicial independence, size of local military etc.).

  18. Female Active Duty Military Personnel, Officers and Enlisted, 1945-2015

    • s.cnmilf.com
    • data.va.gov
    • +2more
    Updated Nov 23, 2021
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    Department of Veteran Affairs (2021). Female Active Duty Military Personnel, Officers and Enlisted, 1945-2015 [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/female-active-duty-military-personnel-officers-and-enlisted-1945-2015
    Explore at:
    Dataset updated
    Nov 23, 2021
    Dataset provided by
    United States Department of Veterans Affairshttp://va.gov/
    Description

    NOTE: 2001-2013 enlisted totals include "cadets-midshipmen" so officer+enlisted=total. This may not be the correct assumption, but the historical tables only have "officer" and "enlisted" totals.

  19. N

    Soldiers Grove, WI Annual Population and Growth Analysis Dataset: A...

    • neilsberg.com
    csv, json
    Updated Jul 30, 2024
    + more versions
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    Neilsberg Research (2024). Soldiers Grove, WI Annual Population and Growth Analysis Dataset: A Comprehensive Overview of Population Changes and Yearly Growth Rates in Soldiers Grove from 2000 to 2023 // 2024 Edition [Dataset]. https://www.neilsberg.com/insights/soldiers-grove-wi-population-by-year/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Jul 30, 2024
    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
    Annual Population Growth Rate, Population Between 2000 and 2023, Annual Population Growth Rate Percent
    Measurement technique
    The data presented in this dataset is derived from the 20 years data of U.S. Census Bureau Population Estimates Program (PEP) 2000 - 2023. To measure the variables, namely (a) population and (b) population change in ( absolute and as a percentage ), we initially analyzed and tabulated the data for each of the years between 2000 and 2023. 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 over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Soldiers Grove across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

    Key observations

    In 2023, the population of Soldiers Grove was 561, a 0.36% decrease year-by-year from 2022. Previously, in 2022, Soldiers Grove population was 563, a decline of 0.88% compared to a population of 568 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Soldiers Grove decreased by 88. In this period, the peak population was 649 in the year 2000. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

    Content

    When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

    Data Coverage:

    • From 2000 to 2023

    Variables / Data Columns

    • Year: This column displays the data year (Measured annually and for years 2000 to 2023)
    • Population: The population for the specific year for the Soldiers Grove is shown in this column.
    • Year on Year Change: This column displays the change in Soldiers Grove population for each year compared to the previous year.
    • Change in Percent: This column displays the year on year change as a percentage. 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 Year. You can refer the same here

  20. 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:
    esri rest, kml, zip, csv, geojson, htmlAvailable download formats
    Dataset updated
    May 22, 2019
    Dataset provided by
    California 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.


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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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