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

This dataset has records for the awarding of the United States Medal of Honor. The Medal of Honor is the United States of America’s highest military honor, awarded for personal acts of valor above and beyond the call of duty. The medal is awarded by the President of the United States in the name of the U.S. Congress to U.S. military personnel only. There are three versions of the medal, one for the Army, one for the Navy, and one for the Air Force.[5] Personnel of the Marine Corps and Coast Guard receive the Navy version. The dataset was collected from the official military site, and includes records about how the medal was awarded and characteristics of the recipient. Unfortunately, because of the nature of century-old record keeping, many of the records are incomplete. While a very interesting dataset, it does have some missing data.

Data Dictionary

Key	List of...	Comment	Example Value
death	Boolean	$MISSING_FIELD	True
name	String	$MISSING_FIELD	"Sagelhurst, John C."
awarded.General Order number	Integer	$MISSING_FIELD	-1
awarded.accredited to	String	$MISSING_FIELD	""
awarded.citation	String	$MISSING_FIELD	"Under a heavy fire from the enemy carried off the field a commissioned officer who was severely wounded and also led a charge on the enemy's rifle pits."
awarded.issued	String	$MISSING_FIELD	"01/03/1906"
birth.location name	String	$MISSING_FIELD	"Buffalo, N.Y."
metadata.link	String	$MISSING_FIELD	"http://www.cmohs.org/recipient-detail/1176/sagelhurst-john-c.php"
military record.company	String	$MISSING_FIELD	"Company B"
military record.division	String	$MISSING_FIELD	"1st New Jersey Cavalry"
military record.entered service at	String	$MISSING_FIELD	"Buffalo, N.Y."
military record.organization	String	$MISSING_FIELD	"U.S. Army"
military record.rank	String	$MISSING_FIELD	"Sergeant"
awarded.date.day	Integer	$MISSING_FIELD	6
awarded.date.full	String	$MISSING_FIELD	"1865-2-6"
awarded.date.month	Integer	$MISSING_FIELD	2
awarded.date.year	Integer	$MISSING_FIELD	1865
awarded.location.latitude	Integer	$MISSING_FIELD	38
awarded.location.longitude	Integer	$MISSING_FIELD	-77
awarded.location.name	String	$MISSING_FIELD	"Hatchers Run Court, Stafford, VA 22554, USA"
birth.date.day	Integer	$MISSING_FIELD	-1
birth.date.month	Integer	$MISSING_FIELD	-1
birth.date.year	Integer	$MISSING_FIELD	-1

Acknowledgement

Original Data

CORGIS Dataset Project

Foto von Samuel Branch auf Unsplash

The Anthropometric Survey of US Army Personnel (ANSUR 2 or ANSUR II) data were published internally in 2012. They were made available publicly in 2017. They have replaced ANSUR I as the most comprehensive publicly available data set on body size and shape. They include 93 measures for over 6,000 adult US military personnel (4,082 men and 1,986 women). In contrast to the ANSUR I data, the new sample includes reservists. Despite the presence of reservists in the sample, it is still not an approximation of the US Civilian population. Consequently, while there is useful information here, designs and standards based on these data will not accommodate most user populations in the intended manner.

This dataset is collected from internet.

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

This dataset investigates the Instagram engagement metrics (likes and comments) of the U.S. and British Armies to understand their strengths and weaknesses in their marketing. For the quantitative data collection, a random number generator was used to compile a 20% data sample (73 posts) from a total of 365 posts from each account. For instance, a number 1 in the random generator corresponded to the most recent post from the start date of data collection (May 23rd, 2024). By picking from 365 posts, the data collection was meant to represent roughly a year of Instagram content, assuming their Instagram accounts posted every day. This method ensured an unbiased representation of which content was included in the 20% data sample.However, the U.S Army posted almost once a day while the British Army posted only a few days a week. In the end, data was collected across 365 U.S. Army posts from May 23rd, 2024, to October 28th, 2023. For the British Army’s Instagram, the data collection span from May 23rd, 2024, to November 25th, 2021. By engaging with recent posts, the purpose was to understand how effectively these Armies responded to their recruitment crisis (which started in 2022).For the data collection, variables for each post included the following:Date of postNumber of likesPercentage of likes by follower populationNumber of commentsPercentage of comments by follower populationTo understand which Instagram posts were successful, the content with the highest number of likes and comments were defined as the most engaged. But, to accurately compare the British Army’s Instagram engagement to the U.S., the number of likes/comments was divided by the number of their followers. As of May 23, 2024, the U.S. Army had 2.9 million followers on Instagram whereas the British Army had 594,000 followers. While social media users outside of the Armies’ followers engaged with the posts, these ratios provided a basis to fairly compare their engagement metrics.

Historical dataset showing Virgin Islands (U.S.) military size by year from N/A to N/A.

ANSUR 2 (2012)

A public dataset drawn from the 2012 U.S. Army Anthropometric Survey. This sample is improved in all respects from the ANSUR 88 study and should be used in place of ANSUR 88. Note that this military population is not likely to be representative of any particular user population, but remains valuable because of the ability to explore interrelationships among the variables.

References:

1. http://mreed.umtri.umich.edu/mreed/downloads.html

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

Homeland Infrastructure Foundation-Level Data (HIFLD) geospatial data sets containing information on US Army Corps of Engineers (USACE) Military Districts.

Historical dataset showing Central America military size by year from N/A to N/A.

The dataset depicts the authoritative locations 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 2009 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.

Historical dataset showing North America military size by year from 1985 to 2020.

This dataset tracks the updates made on the dataset "Spouses and Children of U.S. Military Personnel: Results from the 2015 National Survey on Drug Use and Health" as a repository for previous versions of the data and metadata.

This geospatial dataset contains the authoritative boundaries of Department of Defense sites, commonly referred to as installations, ranges, training areas, bases, forts, camps, armories, centers, etc. These installations are, in many cases, comprised of a number of subordinate sites. This list does not necessarily represent a comprehensive collection of all Department of Defense facilities, and only those reported in the 2015 Base Structure Report (BSR) were considered for inclusion. Points are placed either at or near the center of each site and do not reflect any particular landmark. Boundaries encompass federally owned or otherwise managed lands, as defined in the BSR. The point and boundary location datasets are intended for planning purposes only, and do not represent the legal or surveyed land parcel boundaries.

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.

Military Divisions of the U.S. Army Corp of EngineersThis U.S. Army Corp of Engineers (USACE) feature layer depicts USACE's military divisions. Per USACE, "Military Missions provide premier engineering, construction, real estate, stability operations, and environmental management products and services for the Army, Air Force, other assigned U.S. Government agencies and foreign governments."South Atlantic Military DivisionData currency: current federal service (USACE Military Divisions)Data modification: noneFor more information, please visit: Military MissionsFor feedback: ArcGIScomNationalMaps@esri.comU.S. Army Corp of EngineersPer USACE, "With environmental sustainability as a guiding principle, our disciplined Corps team is working diligently to strengthen our Nation’s security by building and maintaining America’s infrastructure and providing military facilities where our servicemembers train, work and live. We are also researching and developing technology for our war fighters while protecting America’s interests abroad by using our engineering expertise to promote stability and improve quality of life."

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

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

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

This report presents findings from the 2015 National Survey on Drug Use and Health (NSDUH) with a focus on comparing estimates related to substance use and mental health for military family members (spouses and children) with general population estimates. The numbers of military family members included in the 2015 NSDUH were relatively small. As a consequence, the report focuses on wives aged 18 to 49 and children aged 12 to 17. In the general area of substance use, the report includes estimates for past year use of any illicit substances (marijuana, cocaine in any form including crack, heroin, hallucinogens, inhalants, and methamphetamine and misuse of four categories of prescription drugs -- pain relievers, tranquilizers, stimulants and sedatives), past year cigarette use, past year alcohol use (both any use and binge use), and past year treatment for substance use, including alcohol use. In the general area of mental health, the report includes estimates for any mental illness (AMI) in the past year for wives. For both wives and children, the report includes estimates for past year major depressive episode (MDE) and mental health service use. For children, estimates of mental health service are reported by general treatment setting (e.g., mental health, educational, medical). As additional years of data become available, it will be possible in future reports to include both male and female spouses and to make more detailed comparisons -- for example for more specific types of illicit substances used and for treatment received by setting, by race/ethnicity and for spouses, by employment and educational background.

Historical dataset showing Latin America & Caribbean military size by year from 1985 to 2020.

Time series data for the statistic Military_Expenditure_USD and country United States. Indicator Definition: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).The statistic "Military Expenditure USD" stands at 916,014,700,000.00 United States Dollars as of 12/31/2023, the highest value at least since 12/31/1961, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes an increase of 6.43 percent compared to the value the year prior.The 1 year change in percent is 6.43.The 3 year change in percent is 17.68.The 5 year change in percent is 34.22.The 10 year change in percent is 34.86.The Serie's long term average value is 349,632,192,410.91 United States Dollars. It's latest available value, on 12/31/2023, is 161.99 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/1960, to it's latest available value, on 12/31/2023, is +1,834.70%.The Serie's change in percent from it's maximum value, on 12/31/2023, to it's latest available value, on 12/31/2023, is 0.0%.