This dataset, released by DoD, contains geographic information for major installations, ranges, and training areas in the United States and its territories. This release integrates site information about DoD installations, training ranges, and land assets in a format which can be immediately put to work in commercial geospatial information systems. Homeland Security/Homeland Defense, law enforcement, and readiness planners will benefit from immediate access to DoD site location data during emergencies. Land use planning and renewable energy planning will also benefit from use of this data. Users are advised that the point and boundary location datasets are intended for planning purposes only, and do not represent the legal or surveyed land parcel boundaries.

The world has become much more peaceful, and yet, even after adjusting for inflation, global military spending is now three times greater than at the height of the Cold War. These developments have motivated a renewed interest from both policy makers and scholars about the drivers of military spending and the implications that follow. Existing findings on the relationship between threat and arming and arms races and war hinge on the completeness and accuracy of existing military spending data. Moreover, data on military spending is used to measure important concepts from international relations such as the distribution of power, balancing, the severity of states’ military burdens, and arms races. Everything we know about which states are most powerful, whether nations are balancing, and whether military burdens and arms races are growing more or less severe rests on the accuracy of existing military spending estimates.

The Military Bases dataset was last updated on October 23, 2024 and are defined by Fiscal Year 2023 data, from the Office of the Assistant Secretary of Defense for Energy, Installations, and Environment and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The dataset depicts the authoritative locations of the most commonly known Department of Defense (DoD) sites, installations, ranges, and training areas world-wide. 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 Assistant Secretary of Defense for Energy, Installations, and Environment. Only sites reported in the BSR or released in a map supplementing the Foreign Investment Risk Review Modernization Act of 2018 (FIRRMA) Real Estate Regulation (31 CFR Part 802) were considered for inclusion. This list does not necessarily represent a comprehensive collection of all Department of Defense facilities. 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. While every attempt has been made to provide the best available data quality, this data set is intended for use at mapping scales between 1:50,000 and 1:3,000,000. For this reason, boundaries in this data set may not perfectly align with DoD site boundaries depicted in other federal data sources. Maps produced at a scale of 1:50,000 or smaller which otherwise comply with National Map Accuracy Standards, will remain compliant when this data is incorporated. Boundary data is most suitable for larger scale maps; point locations are better suited for mapping scales between 1:250,000 and 1:3,000,000. If a site is part of a Joint Base (effective/designated on 1 October, 2010) as established under the 2005 Base Realignment and Closure process, it is attributed with the name of the Joint Base. All sites comprising a Joint Base are also attributed to the responsible DoD Component, which is not necessarily the pre-2005 Component responsible for the site.

Description This dataset contains both tabular and geospatial data of eight great powers' overseas military bases, including China, the United States, the United Kingdoms, Russia, Japan, India, the United Arab Emirates, and France up until November 2020. An interactive view of this dataset: Link Source All data were collected from multiple public sources and specified in each data point in the Excel file and Shapefile. For metadata, such as data description and available methods for geospatial data processing, please read the readme.pdf. Terms of use This dataset features in a collection of geospatial data "Geo-mapping databases for the Belt and Road Initiative". To cite this work, available citation styles can be found here: https://doi.org/10.6084/m9.figshare.c.6076193

Military expenditure (% of GDP) in United States was reported at 3.3618 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. United States - Military expenditure (% of GDP) - actual values, historical data, forecasts and projections were sourced from the World Bank on May of 2025.

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.

United States US: Military Expenditure data was reported at 609.758 USD bn in 2017. This records an increase from the previous number of 600.106 USD bn for 2016. United States US: Military Expenditure data is updated yearly, averaging 277.591 USD bn from Sep 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 711.338 USD bn in 2011 and a record low of 45.380 USD bn in 1960. United States US: Military Expenditure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Defense and Official Development Assistance. Military expenditures data from SIPRI are derived from the NATO definition, which includes all current and capital expenditures on the armed forces, including peacekeeping forces; defense ministries and other government agencies engaged in defense projects; paramilitary forces, if these are judged to be trained and equipped for military operations; and military space activities. Such expenditures include military and civil personnel, including retirement pensions of military personnel and social services for personnel; operation and maintenance; procurement; military research and development; and military aid (in the military expenditures of the donor country). Excluded are civil defense and current expenditures for previous military activities, such as for veterans' benefits, demobilization, conversion, and destruction of weapons. This definition cannot be applied for all countries, however, since that would require much more detailed information than is available about what is included in military budgets and off-budget military expenditure items. (For example, military budgets might or might not cover civil defense, reserves and auxiliary forces, police and paramilitary forces, dual-purpose forces such as military and civilian police, military grants in kind, pensions for military personnel, and social security contributions paid by one part of government to another.); ; Stockholm International Peace Research Institute (SIPRI), Yearbook: Armaments, Disarmament and International Security.; ; Data for some countries are based on partial or uncertain data or rough estimates. For additional details please refer to the military expenditure database on the SIPRI website: https://sipri.org/databases/milex

This dataset is designed for object detection of military aircraft. The dataset encompasses 74 different military aircraft types, with some types merged as one class along with their variants.

A-10, A-400M, AG-600, AH-64, AV-8B, An-124, An-22, An-225, An-72, B-1, B-2, B-21, B-52, Be-200, C-130, C-17, C-2, C-390, C-5, CH-47, CL-415, E-2, E-7, EF-2000, F-117, F-14, F-15, F-16, F-22, F-35, F-4, F/A-18, H-6, J-10, J-20, JAS-39, JF-17, JH-7, KC-135, KF-21, KJ-600, Ka-27, Ka-52, MQ-9, Mi-24, Mi-26, Mi-28, Mig-29, Mig-31, Mirage2000, P-3, RQ-4, Rafale, SR-71, Su-24, Su-25, Su-34, Su-57, TB-001, TB-2, Tornado, Tu-160, Tu-22M, Tu-95, U-2, UH-60, US-2, V-22, Vulcan, WZ-7, XB-70, Y-20, YF-23, Z-19.

This Dataset is in YOLO8 Format consist of Images and labels in jpg and txt files respectively.

Military Expenditure in the United States increased to 997309 USD Million in 2024 from 916014.70 USD Million in 2023. United States Military Expenditure - values, historical data, forecasts and news - updated on June of 2025.

Agreement between observed country-year-variable values (orange boxes) and the posterior predicted point estimates for which the observed value is observed (light grey boxes). Dark grey boxes show the distribution for the full range of the posterior predicted point estimates (including estimates for which the original value is missing). Across all variables, these estimated values have a lower median value due to a bias in the missingness in the original data. We have more missing observations in earlier years, for which population levels are lower than in later years in the series. Conveniently for users, the posterior predicted values are estimated using the original unit-of-measurement. This means that the visual discrepancy is not an empirical discrepancy. It is simply the difference in the unit-of-measurement used for the observed dataset values (e.g., thousands of dollars units).

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.

A collection of national resources that assist parents and military connected children cope with the stressors of living in the military community.

Sudan SD: Military Expenditure data was reported at 29,123.000 SSP mn in 2017. This records an increase from the previous number of 16,951.000 SSP mn for 2016. Sudan SD: Military Expenditure data is updated yearly, averaging 0.561 SSP mn from Dec 1960 (Median) to 2017, with 52 observations. The data reached an all-time high of 29,123.000 SSP mn in 2017 and a record low of 0.006 SSP mn in 1960. Sudan SD: Military Expenditure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank.WDI: Defense and Official Development Assistance. Military expenditures data from SIPRI are derived from the NATO definition, which includes all current and capital expenditures on the armed forces, including peacekeeping forces; defense ministries and other government agencies engaged in defense projects; paramilitary forces, if these are judged to be trained and equipped for military operations; and military space activities. Such expenditures include military and civil personnel, including retirement pensions of military personnel and social services for personnel; operation and maintenance; procurement; military research and development; and military aid (in the military expenditures of the donor country). Excluded are civil defense and current expenditures for previous military activities, such as for veterans' benefits, demobilization, conversion, and destruction of weapons. This definition cannot be applied for all countries, however, since that would require much more detailed information than is available about what is included in military budgets and off-budget military expenditure items. (For example, military budgets might or might not cover civil defense, reserves and auxiliary forces, police and paramilitary forces, dual-purpose forces such as military and civilian police, military grants in kind, pensions for military personnel, and social security contributions paid by one part of government to another.); ; Stockholm International Peace Research Institute (SIPRI), Yearbook: Armaments, Disarmament and International Security.; ; Data for some countries are based on partial or uncertain data or rough estimates. For additional details please refer to the military expenditure database on the SIPRI website: https://sipri.org/databases/milex

How does political competition among domestic actors influence foreign policy choice? Studies examining these questions often focus on the role of economic or partisan interests, and how they influence the preferences decision-makers who are subject to the electoral institutions and pressures of their constituents. Less attention has been paid to how the preferences of other influential, unelected, actors influence state behavior. I examine the influence of one such group by looking at how American military leaders shape decisions on American military spending and force structure, while also examining how these decisions have been affected by changes to the institutions governing civil-military relations. Results indicate that military leaders occupying key positions can influence defense spending priorities in favor of their respective branches. Results also suggest the influence of military leaders has changed over time, and is conditional upon the institutions governing the relationships between civilian decision-makers and military leaders.

U.S. military spending/defense budget for 2022 was 876.94 billion US dollars, a 8.77% increase from 2021.

<ul style='margin-top:20px;'>

<li>U.S. military spending/defense budget for 2021 was <strong>806.23 billion US dollars</strong>, a <strong>3.58% increase</strong> from 2020.</li>
<li>U.S. military spending/defense budget for 2020 was <strong>778.40 billion US dollars</strong>, a <strong>6% increase</strong> from 2019.</li>
<li>U.S. military spending/defense budget for 2019 was <strong>734.34 billion US dollars</strong>, a <strong>7.6% increase</strong> from 2018.</li>
</ul>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).

Military Tanks

## Overview

Military Tanks is a dataset for object detection tasks - it contains Tanks annotations for 5,540 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).

The United States led the ranking of the countries with the highest military spending in 2023, with 916 billion U.S. dollars dedicated to the military. That constituted over 40 percent of the total military spending worldwide that year, which amounted to 2.4 trillion U.S. dollars. This amounted to 3.5 percent of the U.S. gross domestic product (GDP), placing the U.S. lower in the ranking of military expenditure as a percentage of GDP than for instance Saudi Arabia, Israel, Algeria, and Russia. China was the second largest military spender with an estimated 296 billion U.S. dollars spent, with Russia following in third. Defense budgetAccording to the U.S. Congressional Budget Office, the outlays for defense will rise to 1.1 trillion U.S. dollars by 2033. The largest parts of the budget are dedicated to the Departments of the Navy and the Air Force. The budget for the U.S. Air Force for 2024 was nearly 260 billion U.S. dollars.Global military spendingThe value of military spending globally has grown steadily in the past years and reached 2.44 trillion U.S. dollars in 2023. Reasons for this are the outbreak of the Russia-Ukraine war in 2022, the war in Gaza, as well as increasing tensions in the South China Sea. North America is by far the leading region worldwide in terms of expenditure on the military.

This dataset provides values for MILITARY EXPENDITURE reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

This data collection documents all cases of military intervention across international boundaries by regular armed forces of independent states in the regions of Europe, the Americas (and Caribbean), Asia and the Pacific, Sub-Saharan Africa, and the Middle East/North Africa. Military interventions are defined operationally in this collection as the movement of regular troops or forces (airborne, seaborne, shelling, etc.) of one country into the territory or territorial waters of another country, or forceful military action by troops already stationed by one country inside another, in the context of some political issue or dispute. The study seeks to identify politically important actions which interpose a state directly into the conflict patterns occurring in another state, and which conceivably involve a breach of the sovereignty of the target state (albeit by invitation in some cases). The collection identifies intervener and target countries and specifies the starting and ending dates of the intervention. A series of potential interests in or motives for intervention are presented, including effects on the target's domestic disputes, foreign or domestic policies, and efforts to protect social factions in the target, to attack rebels in sanctuaries across borders ("hot pursuit"), to protect or enhance economic/resource interests, to protect military or diplomatic facilities, to save lives, or to affect regional power balances and strategic relations. Information is provided on the direction of the intervention, i.e., to support or oppose the target government, to support or oppose opposition groups in the target, or to support or oppose third-party governments or opposition groups. Other variables show the degree of prior intervention, the alliance or treaty relationship between intervener and target, prior colonial status, prior intervention, and measures of intervener and target power size. A series of intensity measures, such as battle-related casualties, is also included. For each type of incursion, by land, sea, or air, an ordinal scale of involvement is presented, ranging from minor engagement such as evacuation, to patrols, acts of intimidation, and actual firing, shelling, or bombing. Finally, contiguity information is provided to indicate both whether intervener and target are geographically contiguous, and whether the intervention was launched from contiguous territory.

China Military Expenditure data was reported at 228.231 USD bn in 2017. This records an increase from the previous number of 216.031 USD bn for 2016. China Military Expenditure data is updated yearly, averaging 35.126 USD bn from Dec 1989 (Median) to 2017, with 29 observations. The data reached an all-time high of 228.231 USD bn in 2017 and a record low of 9.954 USD bn in 1991. China Military Expenditure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s China – Table CN.World Bank: 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. For additional details please refer to the military expenditure database on the SIPRI website: https://sipri.org/databases/milex