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.

The graph illustrates the number of personnel in each branch of the U.S. Military for the year 2024. 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 9,446 to 449,816. Among the branches, the Army has the highest number of personnel with 449,816, followed by the Navy with 332,336 and the Air Force with 315,958. The Marine Corps and Coast Guard have 173,096 and 40,612 personnel, respectively, while the Space Force has the lowest number at 9,446. The data is displayed in a bar graph format, effectively highlighting the distribution of military personnel across the different branches.

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.

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.

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.

United States US: Armed Forces Personnel: % of Total Labour Force data was reported at 0.828 % in 2016. This records a decrease from the previous number of 0.838 % for 2015. United States US: Armed Forces Personnel: % of Total Labour Force data is updated yearly, averaging 0.995 % from Sep 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 1.704 % in 1990 and a record low of 0.828 % in 2016. United States US: 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 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. 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.

Graph and download economic data for Total Population: All Ages including Armed Forces Overseas (POP) from Jan 1952 to Dec 2025 about population and USA.

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

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.

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Soldiers Grove. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Soldiers Grove, the median income for all workers aged 15 years and older, regardless of work hours, was $30,417 for males and $25,000 for females.

These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 18% between the median incomes of males and females in Soldiers Grove. With women, regardless of work hours, earning 82 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thevillage of Soldiers Grove.

- Full-time workers, aged 15 years and older: In Soldiers Grove, among full-time, year-round workers aged 15 years and older, males earned a median income of $52,500, while females earned $38,125, leading to a 27% gender pay gap among full-time workers. This illustrates that women earn 73 cents for each dollar earned by men in full-time roles. This analysis indicates a widening gender pay gap, showing a substantial income disparity where women, despite working full-time, face a more significant wage discrepancy compared to men in the same roles.

Remarkably, across all roles, including non-full-time employment, women displayed a similar gender pay gap percentage. This indicates a consistent gender pay gap scenario across various employment types in Soldiers Grove, showcasing a consistent income pattern irrespective of employment status.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

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 median household income by race. You can refer the same here

Content

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

Acknowledgements

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

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.

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

Graph and download economic data for All Employees, Government (USGOVT) from Jan 1939 to Feb 2025 about establishment survey, government, employment, and USA.

The US Military Aviation Market is segmented by Sub Aircraft Type (Fixed-Wing Aircraft, Rotorcraft). Key Data Points observed include air passenger traffic, air transport freight, defense spending, military aircraft active fleet, revenue passenger kilometers, high-net worth individuals, and inflation rate.

Introduction

Artificial Intelligence in Military Statistics: The integration of Artificial Intelligence (AI) into military operations marks a transformative shift in defense, leveraging machine learning, robotics, natural language processing, and computer vision to enhance decision-making, efficiency, and tactical advantages.

These technologies underpin a wide array of applications, from autonomous drones and cybersecurity defenses to predictive logistics and advanced training simulations. Fundamentally altering the landscape of military strategies and operations.

While offering significant benefits in operational precision and risk reduction, the deployment of AI in the military sphere also raises critical ethical and legal questions. Particularly concerning autonomous weaponry and the delegation of critical decisions to machines.

This evolution demands careful navigation of ethical frameworks, regulatory measures, and strategic considerations. Underscoring the pivotal role of AI in shaping future defense mechanisms and international security dynamics.

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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.

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

We analyze how the deployment of US troops affects host-state defense spending. We test this relationship, from 1951 to 2003, by examining how the deployment of US military forces impacts defense spending in different types of states, including US allies, NATO members, non-allies of the United States, and all states. We also utilize spatial measures of US troop deployments to analyze how regional and neighborhood concentrations of forces shape host-state policies. Using both traditional panel methodology, and incorporating a simultaneous equation model for the deployment of troops, we find that non-allied states tend to decrease their defense burden when the United States places troops within their borders. However, NATO allies consistently increase their defense burden in response to the presence of US troops within their borders. Additionally, most states tend to increase spending when the United States places troops near their borders.