This dataset contains demographic information on every member of the US armed forces including gender, race, and rank.

Acknowlegement

Original Data

Foto von israel palacio auf Unsplash

The Military Bases dataset is as of May 21, 2019, and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics's (BTS's) National Transportation Atlas Database (NTAD). The dataset depicts the authoritative boundaries of the most commonly known Department of Defense (DoD) sites, installations, ranges, and training areas in the United States and Territories. These sites encompass land which is federally owned or otherwise managed. This dataset was created from source data provided by the four Military Service Component headquarters and was compiled by the Defense Installation Spatial Data Infrastructure (DISDI) Program within the Office of the Deputy Under Secretary of Defense for Installations and Environment, Business Enterprise Integration Directorate. Sites were selected from the 2010 Base Structure Report (BSR), a summary of the DoD Real Property Inventory. This list does not necessarily represent a comprehensive collection of all Department of Defense facilities, and only those in the fifty United States and US Territories were considered for inclusion. For inventory purposes, installations are comprised of sites, where a site is defined as a specific geographic location of federally owned or managed land and is assigned to military installation. DoD installations are commonly referred to as a base, camp, post, station, yard, center, homeport facility for any ship, or other activity under the jurisdiction, custody, control of the DoD.

Acknowlegement

Original Data

Foto von israel palacio auf Unsplash

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.

US Military

## Overview

US Military is a dataset for object detection tasks - it contains Objects annotations for 1,440 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

United States US: Armed Forces Personnel: Total data was reported at 1,348,400.000 Person in 2016. This records an increase from the previous number of 1,347,300.000 Person for 2015. United States US: Armed Forces Personnel: Total data is updated yearly, averaging 1,546,000.000 Person from Sep 1985 (Median) to 2016, with 29 observations. The data reached an all-time high of 2,240,000.000 Person in 1989 and a record low of 1,347,300.000 Person in 2015. United States US: Armed Forces Personnel: Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Defense and Official Development Assistance. Armed forces personnel are active duty military personnel, including paramilitary forces if the training, organization, equipment, and control suggest they may be used to support or replace regular military forces.; ; International Institute for Strategic Studies, The Military Balance.; Sum; Data for some countries are based on partial or uncertain data or rough estimates.

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

This dataset is about countries per year in South America. It has 768 rows. It features 3 columns: country, and armed forces personnel.

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.

Copy 2 Of US Military

## Overview

Copy 2 Of US Military is a dataset for object detection tasks - it contains Military 2 annotations for 2,269 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

This dataset is about countries in South America. It has 12 rows. It features 2 columns including armed forces personnel.

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 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 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

From the project website: "url"> https://sites.tufts.edu/css/mip-research/mip-dataset/

The Military Intervention Project (MIP) within the Center for Strategic Studies (CSS) seeks to solve the puzzle of US foreign military interventions. It is building a new, comprehensive dataset of all US military interventions from 1776 until 2017 to measure the costs, benefits, and unintended consequences of US military involvements abroad. In other words, this dataset will provide strong empirical evidence regarding the trade-offs of US military interventions – a current hot topic in Congress, the media, and in public opinion. MIP will measure the costs and benefits to US national interests, economic growth, international reputation as well as human rights, democratic, and economic outcomes within the target state, and much more.

This dataset is about countries in Central America. It has 8 rows. It features 3 columns: armed forces personnel, and fertility rate.

The high prevalence of dual use of cigarettes and smokeless tobacco is a unique tobacco use behavior in the US military population. However, dual tobacco use has rarely been addressed in active duty populations. We aimed to identify factors contributing to dual tobacco use among active duty service members from Army and Air Force. We also compared age at initiation, duration of use, and amount of use between dual users and exclusive users. The study included 168 exclusive cigarette smokers, 171 exclusive smokeless tobacco users, and 110 dual users. In stepwise logistic regression, smokeless tobacco use among family members (OR = 4.78, 95% CI = 2.05–11.13 for father use vs. no use, OR = 3.39, 95% CI = 1.56–7.37 for other relatives use vs. no use), and deployment history (serving combat unit vs. combat support unit: OR = 4.12, 95% CI = 1.59–10.66; never deployed vs. combat support unit: OR = 3.32, 95% CI = 1.45–7.61) were factors identified to be associated with dual use relative to exclusive cigarette smoking. Cigarette smoking among family members (OR = 1.96, 95% CI = 1.07–3.60 for sibling smoking), high perception of harm using smokeless tobacco (OR = 2.34, 95% CI = 1.29–4.26), secondhand smoke exposure (OR = 4.83, 95% CI = 2.73–8.55), and lower education (associated degree or some college: OR = 2.76, 95% CI = 1.01–7.51; high school of lower: OR = 4.10, 95% CI = 1.45–11.61) were factors associated with dual use relative to exclusive smokeless tobacco use. Compared to exclusive cigarette smokers, dual users started smoking at younger age, smoked cigarettes for longer period, and smoked more cigarettes per day. Our study addressed dual tobacco use behavior in military population and has implications to tobacco control programs in the military.

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

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%.

Comprehensive dataset containing 40 verified United States Armed Forces Base businesses in United States with complete contact information, ratings, reviews, and location data.

Context

One way to track the priorities of the U.S. Air Force is through their budget and what programs they increase or decrease funding towards.

Content

The FY 2018 and FY 2019 Estimates come from the Air Force’s documents for Fiscal Year (FY) 2018. The FY 2019 President’s Budget Request comes from the FY 2019 budget documents released in February 2018 and are the Administration’s, and the Air Force’s, request for funding for FY 2019. To see how the Administration’s priorities have changed, reference the change in funding from the FY 2019 Estimates and the FY 2019 President’s Budget Request.

Acknowledgements

The data is from the (https://aerospace.csis.org/data/u-s-air-force-budget-requests/).