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.
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Historical chart and dataset showing U.S. military size by year from 1985 to 2020.
https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F954461%2F41f0017368e1043a2c643aea10cbb3e4%2FgoogleDataStudio.jpg?generation=1561570478866938&alt=media" alt="">
This dataset will be used to help users get familiar with Google Data Studio. It's also a great way to mix history with data visualization skills.
Later I will develop a lesson that will help new users get up to speed with Google Data Studio. This dataset is small, but it will be a good dataset to start with. The same concepts learned with this project will be used with larger datasets.
This data comes from wikipedia.
wikipedia
https://en.wikipedia.org/wiki/United_States_military_casualties_of_war
Project based learning. Get it going! Teach kids using data.
Access a market-leading database of 18 million verified military veterans, backed by our money-back quality guarantee. Our veteran mailing lists are meticulously updated and verified every month to ensure accuracy. Understanding that every campaign is unique, we provide a comprehensive range of demographic and psychographic filters to help you target the exact veteran audience you need.
Whether you aim to offer benefits, home loans, educational opportunities, or specialized services, our data ensures your message reaches the right audience, enabling you to connect effectively with both active and non-active military members. Discover how our targeted data solutions can enhance your engagement and drive success for your initiatives.
Here are some of the customizable segments you can create with our filters:
Our military veterans email campaign offers targeted outreach to qualified veteran leads with a guaranteed open rate, ensuring your message reaches a receptive audience. After the campaign, you can opt to receive a list of veterans who opened your email, providing a valuable pool of warm leads for follow-up. If you prefer to manage your own campaign, we also offer highly accurate veteran email lists, complete with unlimited usage rights for ongoing marketing efforts.
Additionally, you can extend your reach by using the same veteran email list for targeted Facebook ads, leveraging the power of multi-channel marketing. For a more tangible approach, our veterans mailing list allows you to engage veterans directly through direct mail, offering an uninterrupted opportunity to capture their attention. To maximize impact, we recommend synchronizing direct mail with a complementary digital ad campaign, enhancing your overall return on investment. With our active military database, you can connect with military personnel both on and off base.
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.
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Lists the military spending, GDP, and population estimate for the US each year from 1960 to 2020.
Banner image source: https://unsplash.com/photos/BQgAYwERXhs
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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.
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This dataset provides a comprehensive listing of Veteran Affairs (VA) facilities across the United States. It includes vital information about each facility, such as the name, address, phone number, and the state where it's located. This resource is invaluable for veterans, researchers, and healthcare professionals looking to locate VA services across the country.
The U.S. Defense Department oversees the USA"s armed forces and manages over 30 million acres of land. With over 2.8 million service members and civilian employees the department is the world"s largest employer.Dataset SummaryPhenomenon Mapped: Lands managed by the U.S. Department of DefenseGeographic Extent: United States, Guam, Puerto RicoData Coordinate System: WGS 1984Visible Scale: The data is visible at all scalesSource: DOD Military Installations Ranges and Training Areas layer. Publication Date: May 2025This layer is a view of the USA Federal Lands layer. A filter has been used on this layer to eliminate non-Department of Defense lands. For more information on layers for other agencies see the USA Federal Lands layer.What can you do with this layer?This layer is suitable for both visualization and analysis across the ArcGIS system. This layer can be combined with your data and other layers from the ArcGIS Living Atlas of the World in ArcGIS Online and ArcGIS Pro to create powerful web maps that can be used alone or in a story map or other application.Because this layer is part of the ArcGIS Living Atlas of the World it is easy to add to your map:In ArcGIS Online you can add this layer to a map by selecting Add then Browse Living Atlas Layers. A window will open. Type "department of defense" in the search box and browse to the layer. Select the layer then click Add to Map.In ArcGIS Pro open a map and select Add Data from the Map Tab. Select Data at the top of the drop down menu. The Add Data dialog box will open on the left side of the box expand Portal if necessary then select Living Atlas. Type "department of defense" in the search box, browse to the layer then click OK.In both ArcGIS Online and Pro you can change the layer's symbology and view its attribute table. You can filter the layer to show subsets of the data using the filter button in Online or a definition query in Pro.The data can be exported to a file geodatabase, a shape file or other format and downloaded using the Export Data button on the top right of this webpage.This layer can be used as an analytic input in both Online and Pro through the Perform Analysis window Online or as an input to a geoprocessing tool, model, or Python script in Pro.The ArcGIS Living Atlas of the World provides an easy way to explore many other beautiful and authoritative maps on hundreds of topics like this one.Questions?Please leave a comment below if you have a question about this layer, and we will get back to you as soon as possible.
Spatial analysis and statistical summaries of the Protected Areas Database of the United States (PAD-US) provide land managers and decision makers with a general assessment of management intent for biodiversity protection, natural resource management, and recreation access across the nation. The PAD-US 3.0 Combined Fee, Designation, Easement feature class (with Military Lands and Tribal Areas from the Proclamation and Other Planning Boundaries feature class) was modified to remove overlaps, avoiding overestimation in protected area statistics and to support user needs. A Python scripted process ("PADUS3_0_CreateVectorAnalysisFileScript.zip") associated with this data release prioritized overlapping designations (e.g. Wilderness within a National Forest) based upon their relative biodiversity conservation status (e.g. GAP Status Code 1 over 2), public access values (in the order of Closed, Restricted, Open, Unknown), and geodatabase load order (records are deliberately organized in the PAD-US full inventory with fee owned lands loaded before overlapping management designations, and easements). The Vector Analysis File ("PADUS3_0VectorAnalysisFile_ClipCensus.zip") associated item of PAD-US 3.0 Spatial Analysis and Statistics ( https://doi.org/10.5066/P9KLBB5D ) was clipped to the Census state boundary file to define the extent and serve as a common denominator for statistical summaries. Boundaries of interest to stakeholders (State, Department of the Interior Region, Congressional District, County, EcoRegions I-IV, Urban Areas, Landscape Conservation Cooperative) were incorporated into separate geodatabase feature classes to support various data summaries ("PADUS3_0VectorAnalysisFileOtherExtents_Clip_Census.zip") and Comma-separated Value (CSV) tables ("PADUS3_0SummaryStatistics_TabularData_CSV.zip") summarizing "PADUS3_0VectorAnalysisFileOtherExtents_Clip_Census.zip" are provided as an alternative format and enable users to explore and download summary statistics of interest (Comma-separated Table [CSV], Microsoft Excel Workbook [.XLSX], Portable Document Format [.PDF] Report) from the PAD-US Lands and Inland Water Statistics Dashboard ( https://www.usgs.gov/programs/gap-analysis-project/science/pad-us-statistics ). In addition, a "flattened" version of the PAD-US 3.0 combined file without other extent boundaries ("PADUS3_0VectorAnalysisFile_ClipCensus.zip") allow for other applications that require a representation of overall protection status without overlapping designation boundaries. The "PADUS3_0VectorAnalysis_State_Clip_CENSUS2020" feature class ("PADUS3_0VectorAnalysisFileOtherExtents_Clip_Census.gdb") is the source of the PAD-US 3.0 raster files (associated item of PAD-US 3.0 Spatial Analysis and Statistics, https://doi.org/10.5066/P9KLBB5D ). Note, the PAD-US inventory is now considered functionally complete with the vast majority of land protection types represented in some manner, while work continues to maintain updates and improve data quality (see inventory completeness estimates at: http://www.protectedlands.net/data-stewards/ ). In addition, changes in protected area status between versions of the PAD-US may be attributed to improving the completeness and accuracy of the spatial data more than actual management actions or new acquisitions. USGS provides no legal warranty for the use of this data. While PAD-US is the official aggregation of protected areas ( https://www.fgdc.gov/ngda-reports/NGDA_Datasets.html ), agencies are the best source of their lands data.
https://www.usa.gov/government-works/https://www.usa.gov/government-works/
The Defense Logistics Agency (DLA) has the Department of Defense mission of disposing of obsolete/unneeded excess property turned in by U.S. military units around the world. The type of property turned in ranges from military-specific equipment and vehicles to generic office furniture, computers, medical items and shop equipment. DLA Disposition Services, one of DLA’s major subordinate commands, disposes of this property in a variety of ways, including reutilization/transfer to other military components or federal agencies, donating through programs like computers for schools, destruction for scrap metal and resale to the general public.
In the National Defense Authorization Act for fiscal years 1990 and 1991, Congress authorized the transfer of excess DoD property to federal, state and local law enforcement agencies. Congress later passed the NDAA for fiscal year 1997, which allows law enforcement agencies to acquire property for bona fide law enforcement purposes – particularly those associated with counter-drug and counter-terrorism activities. The program has been named in the press and elsewhere as the “1033 Program,” which refers to the numbered section of the 1997 NDAA that granted permanent authority to the Secretary of Defense to transfer defense material to federal, state and local law enforcement agencies.
The Law Enforcement Support Office, located at DLA Disposition Services Headquarters in Battle Creek, Michigan, is responsible for the management of the LESO/1033 Program and continues to make improvements for efficiency, cost effectiveness, transparency and inventory control.
Jails and Prisons (Correctional Institutions). The Jails and Prisons sub-layer is part of the Emergency Law Enforcement Sector and the Critical Infrastructure Category. A Jail or Prison consists of any facility or location where individuals are regularly and lawfully detained against their will. This includes Federal and State prisons, local jails, and juvenile detention facilities, as well as law enforcement temporary holding facilities. Work camps, including camps operated seasonally, are included if they otherwise meet the definition. A Federal Prison is a facility operated by the Federal Bureau of Prisons for the incarceration of individuals. A State Prison is a facility operated by a state, commonwealth, or territory of the US for the incarceration of individuals for a term usually longer than 1 year. A Juvenile Detention Facility is a facility for the incarceration of those who have not yet reached the age of majority (usually 18 years). A Local Jail is a locally administered facility that holds inmates beyond arraignment (usually 72 hours) and is staffed by municipal or county employees. A temporary holding facility, sometimes referred to as a "police lock up" or "drunk tank", is a facility used to detain people prior to arraignment. Locations that are administrative offices only are excluded from the dataset. This definition of Jails is consistent with that used by the Department of Justice (DOJ) in their "National Jail Census", with the exception of "temporary holding facilities", which the DOJ excludes. Locations which function primarily as law enforcement offices are included in this dataset if they have holding cells. If the facility is enclosed with a fence, wall, or structure with a gate around the buildings only, the locations were depicted as "on entity" at the center of the facility. If the facility's buildings are not enclosed, the locations were depicted as "on entity" on the main building or "block face" on the correct street segment. Personal homes, administrative offices, and temporary locations are intended to be excluded from this dataset. TGS has made a concerted effort to include all correctional institutions. This dataset includes non license restricted data from the following federal agencies: Bureau of Indian Affairs; Bureau of Reclamation; U.S. Park Police; Federal Bureau of Prisons; Bureau of Alcohol, Tobacco, Firearms and Explosives; U.S. Marshals Service; U.S. Fish and Wildlife Service; National Park Service; U.S. Immigration and Customs Enforcement; and U.S. Customs and Border Protection. This dataset is comprised completely of license free data. The Law Enforcement dataset and the Correctional Institutions dataset were merged into one working file. TGS processed as one file and then separated for delivery purposes. With the merge of the Law Enforcement and the Correctional Institutions datasets, NAICS Codes & Descriptions were assigned based on the facility's main function which was determined by the entity's name, facility type, web research, and state supplied data. In instances where the entity's primary function is both law enforcement and corrections, the NAICS Codes and Descriptions are assigned based on the dataset in which the record is located (i.e., a facility that serves as both a Sheriff's Office and as a jail is designated as [NAICSDESCR]="SHERIFFS' OFFICES (EXCEPT COURT FUNCTIONS ONLY)" in the Law Enforcement layer and as [NAICSDESCR]="JAILS (EXCEPT PRIVATE OPERATION OF)" in the Correctional Institutions layer). Records with "-DOD" appended to the end of the [NAME] value are located on a military base, as defined by the Defense Installation Spatial Data Infrastructure (DISDI) military installations and military range boundaries. "#" and "*" characters were automatically removed from standard fields that TGS populated. Double spaces were replaced by single spaces in these same fields. Text fields in this dataset have been set to all upper case to facilitate consistent database engine search results. All diacritics (e.g., the German umlaut or the Spanish tilde) have been replaced with their closest equivalent English character to facilitate use with database systems that may not support diacritics. The currentness of this dataset is indicated by the [CONTDATE] field. Based on the values in this field, the oldest record dates from 12/27/2004 and the newest record dates from 09/08/2009
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The dataset comprises the Quad (Australia, India, Japan, and the United States) member countries’ military expenditure (ME) and related economic indicators, 1991-2020. lnME is logarithms of the Quad member countries’ ME. lnSpillover1 is the product of the Quad member countries’ ME divided by its own ME. lnSpillover2 is logarithms of the sum of the Quad member countries’ ME minus its own ME. lnGDP is the Quad member countries’ GDP. And lnChineseME is logarithms of Chinese ME. lnME_fd is the first difference value of lnME. lnSpillover1_fd is the first difference value of lnSpillover1. lnSpillover2_fd is the first difference value of lnSpillover2. lnGDP_fd is the first difference value of ln lnGDP. And lnChineseME_fd is the first difference value of lnChineseME. IV_1_1 is the 2 periods lagged lnSpillover1_fd. IV_1_2 is logarithms of the first difference value of the product of the Quad member countries’ GDP divided by its own GDP. IV_2_1 is the 2 periods lagged lnSpillover2_fd. IV_2_2 is logarithms of the first difference value of the sum of the Quad member countries’ GDP minus its own GDP. Data on the Quad member countries’ ME (in current US dollars) from 1991–2020 were obtained from Stockholm International Peace Research Institute (2022), and data on their GDP (in current US dollars) during the same period were obtained from World Bank (2022). Further, Chinese ME (in current US dollars) from 1991–2020 were obtained from Stockholm International Peace Research Institute (2022). The data were converted to constant US dollars using the US GDP deflator taken from World Bank (2022). Data source Stockholm International Peace Research Institute. 2022. “SIPRI Military Expenditure Database.” https://www.sipri.org/databases/milex. World Bank. 2022. “World Development Indicators.” https://databank.worldbank.org/source/world-development-indicators.
KAV 10117 cover memo. Visit https://dataone.org/datasets/sha256%3Ab8f8643093694370304042f27f9335914adad6739acc201151d033010a5d78c2 for complete metadata about this dataset.
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To evaluate the incidence, refractive error (RE) association, and distribution of atraumatic rhegmatogenous retinal detachment (RRD) in U.S. military service members (SMs). This study used data from the Military Health System (MHS) M2 database to identify active U.S. military and National Guard SMs diagnosed with RRD from 2017 to 2022. The RE in diopters (D) was manually extracted from available medical charts for 518 eyes. The annual incidence rate of RRD was calculated overall and evaluated in terms of age, gender, and RE. A multivariate Poisson regression model was used to estimate the relative risk (RR) for RRD with RE. From 2017 to 2022, 1,537 SMs were diagnosed with RRD and 1,243,189 were diagnosed with RE. One thousand two hundred seventy-five SMs had both diagnoses: RRD and RE. The overall incidence rate of RRD over the 6-year study was 16.3 per 100,000 people (16.4 and 15.9 for males and females, respectively). In all study groups, the incidence of RRD increased with age. SMs with RE had an overall 25-fold increased risk for RRD compared to SMs without RE. RE was present in 83.0% of cases of RRD. Myopia accounted for 93.3% of cases for eyes with detailed refractive data. The incidence of RRD in U.S. SMs is comparable to other studies and is similar among male and female SMs. RE is present in most cases of RRD in SMs, with the most common type being low to moderate amounts of myopia.
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Analysis of ‘Veteran Employment Outcomes’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/mpwolke/cusersmarildownloadsvetcsv on 28 January 2022.
--- Dataset description provided by original source is as follows ---
Veteran Employment Outcomes (VEO) are new experimental U.S. Census Bureau statistics on labor market outcomes for recently discharged Army veterans. These statistics are tabulated by military specialization, service characteristics, employer industry (if employed), and veteran demographics. They are generated by matching service member information with a national database of jobs, using state-of-the-art confidentiality protection mechanisms to protect the underlying data.
https://lehd.ces.census.gov/data/veo_experimental.html
"The VEO are made possible through data sharing partnerships between the U.S. Army, State Labor Market Information offices, and the U.S. Census Bureau. VEO data are currently available at the state and national level."
"Veteran Employment Outcomes (VEO) are experimental tabulations developed by the Longitudinal Employer-Household Dynamics (LEHD) program in collaboration with the U.S. Army and state agencies. VEO data provides earnings and employment outcomes for Army veterans by rank and military occupation, as well as veteran and employer characteristics. VEO are currently released as a research data product in "experimental" form."
"The source of veteran information in the VEO is administrative record data from the Department of the Army, Office of Economic and Manpower Analysis. This personnel data contains fields on service member characteristics, such as service start and end dates, occupation, pay grade, characteristics at entry (e.g. education and test scores), and demographic characteristics (e.g. sex, race, and ethnicity). Once service member records are transferred to the Census Bureau, personally-identifying information is stripped and veterans are assigned a Protected Identification Key (PIK) that allows for them to be matched with their employment outcomes in Census Bureau jobs data."
Earnings, and Employment Concepts
Earnings "Earnings are total annual earnings for attached workers from all jobs, converted to 2018 dollars using the CPI-U. For the annual earnings tabulations, we impose two labor force attachment restrictions. First, we drop veterans who earn less than the annual equivalent of full-time work at the prevailing federal minimum wage. Additionally, we drop veterans with two or more quarters with no earnings in the reference year. These workers are likely to be either marginally attached to the labor force or employed in non-covered employment."
Employment
"While most VEO tabulations include earnings from all jobs, tabulations by employer characteristics only consider the veteran's main job for that year. Main jobs are defined as the job for which veterans had the highest earnings in the reference year. To attach employer characteristics to that job, we assign industry and geography from the highest earnings quarter with that employer in the year. For multi-establishment firms, we use LEHD unit-to-worker imputations to assign workers to establishments, and then assign industry and geography."
https://lehd.ces.census.gov/data/veo_experimental.html
United States Census Bureau
https://lehd.ces.census.gov/data/veo_experimental.html
Photo by Robert Linder on Unsplash
U.S. Veterans.
--- Original source retains full ownership of the source dataset ---
https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
According to The Oregonian hundreds of National Guard armories across the U.S. may have been contaminated with lead from indoor firing ranges. It was reported that areas populated by children under 7 years of age should have less than 40 micrograms of lead per square foot.
The Oregonian collected over 23,000 pages of public records following a Freedom Of Information Act request. The dataset covers armory inspections conducted since 2012 and may facilitate investigation of lead contamination in the U.S.
The data assembly process is described by Melissa Lewis here.
This dataset can be used to conduct research in the realm of public health. It will be especially useful if 1) you know about health effects of exposure to lead in relatively short terms periods; 2) you are able to find relevant health data to conduct a study on lead poisoning.
KAV 8768 cover memo. Visit https://dataone.org/datasets/sha256%3Ac08221e52101ee1971215c4f22e896e921cf672d426ad186a596498313172e5b for complete metadata about this dataset.
KAV 8770 cover memo. Visit https://dataone.org/datasets/sha256%3A82c6eff2f55348c25e0144a738d95208769645b73381704d6d71bdac42ca6005 for complete metadata about this dataset.
NOTE: As of 12/17/2024, this dataset is no longer updated. Please use ASPR Treatments Locator.
This dataset displays pharmacies, clinics, and other locations with safe and effective COVID-19 medications. These medications require a prescription from a healthcare provider. Some locations, known as Test to Treat sites, give you the option to get tested, get assessed by a healthcare provider, and receive treatment – all in one visit. COVID-19 medications may be available at additional locations that are not shown in this dataset.
The locations displayed have either self-attested they have inventory of Paxlovid (nirmatrelvir packaged with ritonavir), Lagevrio (molnupiravir), or Veklury (Remdesivir) within at least the last two months and/or reported participation in the Paxlovid Patient Assistance Program. Sites that have not reported in the last two weeks display a notification, "Inventory has not been reported in the last 2 weeks. Please contact the provider to make sure the product is available." Outpatient COVID-19 medications may be available at additional locations not listed on this website.
All therapeutics identified in the locator not approved by the FDA must be used in alignment with the terms of the respective product’s Emergency Use Authorization. Visit COVID-19 Treatments and Therapeutics for more information on all treatment options.
This website identifies sites that have commercially purchased inventory of COVID-19 treatments and, in some cases, may identify sites that have remaining, no-cost U.S. government distributed supply. Some sites may charge for services not covered by insurance. Some sites may offer telehealth services. This website is intended for informational purposes only and does not serve as an endorsement or recommendation for use of any of the locations listed on the sites.
Clarification for DoD Facilities: Those individuals eligible for care in an MTF include Active Duty Service Members (ADSMs), covered beneficiaries enrolled in TRICARE Prime or Select, including TRICARE Reserve Select (TRS), TRICARE Retired Reserve (TRR) and TRICARE Young Adult (TYA) participants, TRICARE for Life beneficiaries, and individuals otherwise entitled by law to MTF care (e.g., regular retired members and their dependents who are not enrolled in TRICARE but who are otherwise eligible for MTF space-available care, certain foreign military members and their families registered in DEERS, and others).
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.