51 datasets found
  1. c

    Number of Personnel in U.S. Military by Branch in 2025

    • consumershield.com
    csv
    Updated Apr 16, 2025
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    ConsumerShield Research Team (2025). Number of Personnel in U.S. Military by Branch in 2025 [Dataset]. https://www.consumershield.com/articles/number-of-people-us-military
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    csvAvailable download formats
    Dataset updated
    Apr 16, 2025
    Dataset authored and provided by
    ConsumerShield Research Team
    License

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

    Area covered
    United States
    Description

    The graph illustrates the number of personnel in each branch of the U.S. Military for the year 2025. The x-axis lists the military branches: Army, Navy, Marine Corps, Air Force, Space Force, and Coast Guard. The y-axis represents the number of personnel, ranging from 41,477 to 449,265. Among the branches, the Army has the highest number of personnel with 449,265, followed by the Navy with 333,794 and the Air Force with 317,675. The Marine Corps and Coast Guard have 168,628 and 41,477 personnel, respectively. The data is displayed in a bar graph format, effectively highlighting the distribution of military personnel across the different branches.

  2. T

    World - Armed Forces Personnel, Total

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jul 20, 2013
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    TRADING ECONOMICS (2013). World - Armed Forces Personnel, Total [Dataset]. https://tradingeconomics.com/world/armed-forces-personnel-total-wb-data.html
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    json, xml, csv, excelAvailable download formats
    Dataset updated
    Jul 20, 2013
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    World, World
    Description

    Armed forces personnel, total in World was reported at 27406000 in 2020, according to the World Bank collection of development indicators, compiled from officially recognized sources. World - Armed forces personnel, total - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

  3. M

    U.S. Military Size

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

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

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

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

  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. d

    Eating Disorders in Military Connected People

    • catalog.data.gov
    • data.mo.gov
    • +1more
    Updated Feb 7, 2025
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    data.mo.gov (2025). Eating Disorders in Military Connected People [Dataset]. https://catalog.data.gov/dataset/eating-disorders-in-military-connected-people
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    Dataset updated
    Feb 7, 2025
    Dataset provided by
    data.mo.gov
    Description

    Information about the types of eating disorders, some reasons why the military community are at risk, warning signs and how to get help. The Missouri Eating Disorders Council (MOEDC) created this document so support service members, veterans and their families.

  6. U.S. occupational roles of women and men in the military 2019

    • statista.com
    Updated Jan 27, 2025
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    Statista (2025). U.S. occupational roles of women and men in the military 2019 [Dataset]. https://www.statista.com/statistics/214877/occupational-roles-of-women-and-men-in-the-us-military/
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    Dataset updated
    Jan 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In the fiscal year of 2019, 25.14 percent of all active-duty enlisted women were employed as administrators. A further 14.79 percent of active-duty women were employed in the medical field, as compared to 5.75 percent of men.

  7. Number of soldiers during the American Civil War 1861-1865

    • statista.com
    Updated Aug 9, 2024
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    Statista (2024). Number of soldiers during the American Civil War 1861-1865 [Dataset]. https://www.statista.com/statistics/1009782/total-army-size-american-civil-war-1861-1865/
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    Dataset updated
    Aug 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This graph shows the total number of soldiers who were enlisted in the Union and Confederate armies during the American Civil War, between 1861 and 1865. The total population of the Union states was 18.9 million in 1860, and the Confederate states in the south had a population of 8.6 million. The Border States, who primarily supported the Union but sent troops to both sides, had a population of 3.5 million. From the graph we can see that over the course of the war a total of 2.1 million men enlisted for the Union Army, and 1.1 million enlisted for the Confederate Army. The Union Army had roughly double the number of soldiers of the Confederacy, and although the Confederacy won more major battles than the Union in the early stages of the war, the strength of numbers in the Union forces was a decisive factor in their overall victory as the war progressed.

  8. Data from: Military Tanks Dataset

    • kaggle.com
    Updated Feb 21, 2021
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    antoreepjana (2021). Military Tanks Dataset [Dataset]. https://www.kaggle.com/antoreepjana/military-tanks-dataset/discussion
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 21, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    antoreepjana
    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

    Est. Date of completion => 31.03.2021

    Collection of various Military Tanks worldwide and their specifications. Thanks to military-today.com & wikipedia.org for providing the necessary information.

    The dataset contains a collection of various military war tanks along with their specifications. If you have any suggestion to make, please contact me at antoreepjana@yahoo.in

  9. U.S. Armed Forces: military personnel and personnel per capita 1816-2016

    • statista.com
    Updated Aug 9, 2024
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    Statista (2024). U.S. Armed Forces: military personnel and personnel per capita 1816-2016 [Dataset]. https://www.statista.com/statistics/1066986/us-armed-forces-military-personnel-capita-historical/
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    Dataset updated
    Aug 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Throughout the 19th century, the share of military personnel employed by the United States government was below 0.2 percent of the total population in most years. There were noticeable spikes in enlistments and conscriptions during the American Civil War (1861-65), the First World War (1917-18*), and Second World War (1941-45*), as well as smaller increases during the Mexican-American War (1946-48) and the Spanish-American War (1898), but figures were generally much lower than the post-WWII era.

    Following the Second World War, the United States abandoned many of its isolationist positions as it sought to become the world's leading superpower. This involved stationing millions of troops in overseas bases during the Cold War, in strategically important locations such as West Germany, Japan, and Taiwan. Additionally, involvement in conflicts such as the Korean War (1950-1953) and Vietnam War (1964-1973*) kept military employment high, usually between 1-2 percent until the 1970s. Figures remained just below the one percent mark until the 1990s, when the end of the Cold War and the growing influence of technology in conventional warfare saw a decrease in demand for many traditional combat roles. Despite U.S. involvement in a number of overseas conflicts in the 21st century, military personnel represented less than 0.5 percent of the total population in most years between 2000 and 2016.

  10. 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)

  11. n

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

    • blog.neuinfo.org
    • 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. H

    Data from: Gender Difference in American Public Opinion on the Use of...

    • dataverse.harvard.edu
    Updated Jul 5, 2018
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    Richard Eichenberg (2018). Gender Difference in American Public Opinion on the Use of Military Force, 1982–2013 [Dataset]. http://doi.org/10.7910/DVN/X40QIH
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 5, 2018
    Dataset provided by
    Harvard Dataverse
    Authors
    Richard Eichenberg
    License

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

    Area covered
    United States
    Description

    Recent scholarship indicates that gender correlates strongly with Americans' attitudes toward the use of military force. However, most of its evidence derives from the study of major wars, and the field needs more historical research to evaluate the evolution of gender difference over time. I redress these limitations by updating and extending my earlier (2003) analysis of public support for the use of force during the 1990s. I analyze 965 individual survey questions concerning the use of US military force in twenty-four historical episodes, beginning in 1982 with military aid to El Salvador and continuing through the recent wars in Afghanistan, Iraq, Libya, and Syria. I find that substantial gender difference characterizes a large number of historical episodes and types of military action. Nonetheless, the magnitude of gender difference varies substantially; in many cases, a substantial percentage of women supports the use of force. The difference between men and women varies most with the salience and level of violence, and women are more sensitive to humanitarian concerns. Women display more sensitivity to casualties in some historical cases, but during the wars in Iraq and Afghanistan, the casualty sensitivity of men gradually increased as the wars dragged on, and gender differences therefore decreased. Thus, I argue that scholars should turn their attention to studying individual-level differences between and among men and women in support for using military force. I also discuss the political and policy implications of the findings.

  13. f

    Data from: Associations between military sexual trauma and chronic pain in...

    • tandf.figshare.com
    docx
    Updated May 28, 2025
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    Joy C. MacDermid; Dimitra V. Pouliopoulou; David M. Walton; Angel Kibble; Pavlos Bobos (2025). Associations between military sexual trauma and chronic pain in men and women active military members and veterans [Dataset]. http://doi.org/10.6084/m9.figshare.29175338.v1
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    docxAvailable download formats
    Dataset updated
    May 28, 2025
    Dataset provided by
    Taylor & Francis
    Authors
    Joy C. MacDermid; Dimitra V. Pouliopoulou; David M. Walton; Angel Kibble; Pavlos Bobos
    License

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

    Description

    We evaluated gendered risks and the associations between demographics, anxiety, and depressive symptoms, military sexual trauma (MST), and severe pain in Canadian military personnel and veterans. A cross-sectional sample of 328 veterans and military members with chronic pain completed confidential surveys, including demographics, disability, pain location, and intensity, as well as a Patient Health Questionnaire (PHQ-4). We evaluated gendered exposures (rates, odds ratios), associations between MST and severe pain (logistic regression), and associations with pain severity and PHQ-4 (linear regression), adjusting for age, race, and education. We found high levels of chronic pain and disability for women and men (6.8 or 6.9/10), PHQ-4 scores (6.6 or 6.2/12), and SANE scores (11% or 10%). Women reported higher exposure to MST (e.g. 69% for sexual harassment, 76% for emotional abuse) than men (8% and 13%). Odds of severe pain were not gendered (OR = 1.05). Physical abuse (β = 1.09, p = .030) and gender discrimination (β = 1.10, p = .033) were associated with higher PHQ-4 scores. Sexual harassment was not independently associated (OR = 1.57, p = .354) with chronic pain, but was associated with increased anxiety and depressive symptoms (β = 1.06, p = .016). Higher PHQ-4 scores were significantly associated with higher pain scores (β = 0.18, p < .001). MST exposures are much more common among women, but the associations of MST with severe pain and PHQ-4 scores are similar across genders. Differences in operational trauma and occupational trauma may influence occupational stress injuries and chronic pain.

  14. h

    Replication Data for: Armed Violence and Patriarchal Values: A Survey of...

    • research.hhs.se
    • dataverse.harvard.edu
    Updated May 23, 2024
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    Elin Bjarnegård; Anders Engvall; Srisompob Jitpiromsri; Erik Melander (2024). Replication Data for: Armed Violence and Patriarchal Values: A Survey of Young Men in Thailand and their Military Experiences [Dataset]. https://research.hhs.se/esploro/outputs/dataset/Replication-Data-for-Armed-Violence-and/991001508199306056
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    Dataset updated
    May 23, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    Elin Bjarnegård; Anders Engvall; Srisompob Jitpiromsri; Erik Melander
    License

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

    Time period covered
    2022
    Area covered
    Thailand
    Description

    Replication Data for: Armed Violence and Patriarchal Values: A Survey of Young Men in Thailand and their Military Experiences What is the relationship between armed violence and patriarchal values? This question is addressed with the help of two surveys of young men in the conflict-affected southern provinces of Thailand. In Study 1 we find that men with more patriarchal values are more prone to volunteer for paramilitary service. Study 2 uses a natural experiment made possible by the conscription lottery in Thailand to compare survey responses of men who were involuntarily enlisted to do Military Conscription Service (treatment group) to the responses of those men who participated in the lottery but were not enlisted (control group). We find no difference in patriarchal values between the treatment and control groups. We conclude that patriarchal values drive voluntary participation in armed conflict while military service as a conscript in a conflict zone does not cause patriarchal values.

  15. t

    VETERAN STATUS - DP02_DES_T - Dataset - CKAN

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

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

    Description

    SELECTED SOCIAL CHARACTERISTICS IN THE UNITED STATES VETERAN STATUS - DP02 Universe - Civilian population 18 Year and over Survey-Program - American Community Survey 5-year estimates Years - 2020, 2021, 2022 Veteran status is used to identify people with active duty military service and service in the military Reserves and the National Guard. Veterans are men and women who have served (even for a short time), but are not currently serving, on active duty in the U.S. Army, Navy, Air Force, Marine Corps, or the Coast Guard, or who served in the U.S. Merchant Marine during World War II. People who served in the National Guard or Reserves are classified as veterans only if they were ever called or ordered to active duty, not counting the 4-6 months for initial training or yearly summer camps.

  16. Z

    Jewish Soldiers of the Habsburg Army (1788-1820)

    • data.niaid.nih.gov
    Updated Mar 18, 2025
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    Berkovich, Ilya (2025). Jewish Soldiers of the Habsburg Army (1788-1820) [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_13787515
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    Dataset updated
    Mar 18, 2025
    Dataset authored and provided by
    Berkovich, Ilya
    License

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

    Description

    Version 2 (18 March 2025) includes a further 356 service itineraries. In addition, 41 entries from the previous version were updated or expanded. Currently the database covers a total of 1,858 Jewish soldiers, 421 wives and 83 children.

    ORIGINAL VERSION 1 (18 September 2024)

    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.

  17. Number of United States military fatalities in major wars 1775-2024

    • statista.com
    Updated Jul 4, 2024
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    Statista (2024). Number of United States military fatalities in major wars 1775-2024 [Dataset]. https://www.statista.com/statistics/1009819/total-us-military-fatalities-in-american-wars-1775-present/
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    Dataset updated
    Jul 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The American Civil War is the conflict with the largest number of American military fatalities in history. In fact, the Civil War's death toll is comparable to all other major wars combined, the deadliest of which were the World Wars, which have a combined death toll of more than 520,000 American fatalities. The ongoing series of conflicts and interventions in the Middle East and North Africa, collectively referred to as the War on Terror in the west, has a combined death toll of more than 7,000 for the U.S. military since 2001. Other records In terms of the number of deaths per day, the American Civil War is still at the top, with an average of 425 deaths per day, while the First and Second World Wars have averages of roughly 100 and 200 fatalities per day respectively. Technically, the costliest battle in U.S. military history was the Battle of Elsenborn Ridge, which was a part of the Battle of the Bulge in the Second World War, and saw upwards of 5,000 deaths over 10 days. However, the Battle of Gettysburg had more military fatalities of American soldiers, with almost 3,200 Union deaths and over 3,900 Confederate deaths, giving a combined total of more than 7,000. The Battle of Antietam is viewed as the bloodiest day in American military history, with over 3,600 combined fatalities and almost 23,000 total casualties on September 17, 1862. Revised Civil War figures For more than a century, the total death toll of the American Civil War was generally accepted to be around 620,000, a number which was first proposed by Union historians William F. Fox and Thomas L. Livermore in 1888. This number was calculated by using enlistment figures, battle reports, and census data, however many prominent historians since then have thought the number should be higher. In 2011, historian J. David Hacker conducted further investigations and claimed that the number was closer to 750,000 (and possibly as high as 850,000). While many Civil War historians agree that this is possible, and even likely, obtaining consistently accurate figures has proven to be impossible until now; both sides were poor at keeping detailed records throughout the war, and much of the Confederacy's records were lost by the war's end. Many Confederate widows also did not register their husbands death with the authorities, as they would have then been ineligible for benefits.

  18. Ukraine UA: Armed Forces Personnel: % of Total Labour Force

    • ceicdata.com
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    CEICdata.com, Ukraine UA: Armed Forces Personnel: % of Total Labour Force [Dataset]. https://www.ceicdata.com/en/ukraine/defense-and-official-development-assistance/ua-armed-forces-personnel--of-total-labour-force
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    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
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    Ukraine
    Variables measured
    Operating Statement
    Description

    Ukraine UA: Armed Forces Personnel: % of Total Labour Force data was reported at 1.406 % in 2016. This records an increase from the previous number of 1.223 % for 2015. Ukraine UA: Armed Forces Personnel: % of Total Labour Force data is updated yearly, averaging 1.406 % from Dec 1992 (Median) to 2016, with 25 observations. The data reached an all-time high of 2.101 % in 1995 and a record low of 0.563 % in 2013. Ukraine UA: Armed Forces Personnel: % of Total Labour Force data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Ukraine – Table UA.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. Labor force comprises all people who meet the International Labour Organization's definition of the economically active population.; ; International Institute for Strategic Studies, The Military Balance.; Weighted average; Data for some countries are based on partial or uncertain data or rough estimates.

  19. d

    #metoo Digital Media Collection - Fourth quarter 2021

    • dataone.org
    • dataverse.harvard.edu
    Updated Nov 8, 2023
    + more versions
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    Maiorana, Zachary; Morales Henry, Pablo; Weintraub, Jennifer (2023). #metoo Digital Media Collection - Fourth quarter 2021 [Dataset]. http://doi.org/10.7910/DVN/KZ9Q4F
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    Dataset updated
    Nov 8, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Maiorana, Zachary; Morales Henry, Pablo; Weintraub, Jennifer
    Description

    This dataset contains the tweet ids of 407,911 tweets, including tweets between October 1, 2021 and December 31, 2021. This collection is a subset of the Schlesinger Library #metoo Digital Media Collection.These tweets were collected weekly from the Twitter API through Social Feed Manager using the POST statuses/filter method of the Twitter Stream API.Please note that there will be no updates to this dataset.The following list of terms includes the hashtags used to collect data for this dataset: #metoo, #timesup, #metoostem, #sciencetoo, #metoophd, #shittymediamen, #churchtoo, #ustoo, #metooMVMT, #ARmetoo, #TimesUpAR, #metooSociology, #metooSexScience, #timesupAcademia, and #metooMedicine.Be aware that previous quarters (up to the first quarter of 2020) only include one hashtag: #metoo.Per Twitter's Developer Policy, tweet ids may be publicly shared for academic purposes; tweets may not. Therefore, this dataset only contains tweet ids. In order to retrieve tweets that are still available (not deleted by users) tools like Hydrator are available.There are similar subsets related to the Schlesinger Library #metoo Digital Media Collection available by quarter, as well as a full dataset with a larger corpus of hashtags.

  20. WWII: share of the male population mobilized by selected countries 1937-1945...

    • statista.com
    Updated Aug 9, 2024
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    Statista (2024). WWII: share of the male population mobilized by selected countries 1937-1945 [Dataset]. https://www.statista.com/statistics/1342462/wwii-share-male-mobilization-by-country/
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    Dataset updated
    Aug 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    World
    Description

    During the Second World War, the three Axis powers of Germany, Italy, and Finland mobilized the largest share of their male population. For the Allies, the Soviet Union mobilized the largest share of men, as well as the largest total army of any country, but it was restricted in its ability to mobilize more due to the impact this would have on its economy. Other notable statistics come from the British Empire, where a larger share of men were drafted from Dominions than from the metropole, and there is also a discrepancy between the share of the black and white populations from South Africa.

    However, it should be noted that there were many external factors from the war that influenced these figures. For example, gender ratios among the adult populations of many European countries was already skewed due to previous conflicts of the 20th century (namely WWI and the Russian Revolution), whereas the share of the male population eligible to fight in many Asian and African countries was lower than more demographically developed societies, as high child mortality rates meant that the average age of the population was much lower.

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ConsumerShield Research Team (2025). Number of Personnel in U.S. Military by Branch in 2025 [Dataset]. https://www.consumershield.com/articles/number-of-people-us-military

Number of Personnel in U.S. Military by Branch in 2025

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csvAvailable download formats
Dataset updated
Apr 16, 2025
Dataset authored and provided by
ConsumerShield Research Team
License

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

Area covered
United States
Description

The graph illustrates the number of personnel in each branch of the U.S. Military for the year 2025. The x-axis lists the military branches: Army, Navy, Marine Corps, Air Force, Space Force, and Coast Guard. The y-axis represents the number of personnel, ranging from 41,477 to 449,265. Among the branches, the Army has the highest number of personnel with 449,265, followed by the Navy with 333,794 and the Air Force with 317,675. The Marine Corps and Coast Guard have 168,628 and 41,477 personnel, respectively. The data is displayed in a bar graph format, effectively highlighting the distribution of military personnel across the different branches.

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