Notes: "Total Number of Veterans" represents FY 2021 projected Veteran counts from VA's Veteran Population Projection Model 2020 (VetPop20). These projections represent living Veterans as of 9/30/2021 and are made with the assumption that Veterans are not missing information (e.g., sex, age, etc.). "Veteran VA Users" represents historical Veteran VA user counts from VA's United States Veterans Eligibility Trends and Statistics 2021 (USVETS 2021). These counts represent Veterans who used any VA benefit or service during FY 2021 (includes both living and deceased Veterans as of end of FY 2021). "Veteran VA Healthcare Users" represents historical Veteran VA healthcare user counts from VA's United States Veterans Eligibility Trends and Statistics 2021 (USVETS 2021). These counts represent Veterans who used VA healthcare during FY 2021 (includes both living and deceased Veterans as of end of FY 2021). "Veteran VA Users" includes Veteran users of VA healthcare or any other VA benefit or service. There are 1,458 Veteran VA Users not shown in the table below whose sex is missing. Of these, 1,360 are missing age. There are 1,387 Veteran VA Healthcare Users not shown in the table below whose sex is missing. Of these, 1,360 are missing age. Sources: USVETS 2021 and VetPop20 Effective Date: 9/30/2021

Veterinary practices have benefited in recent years as more pet owners and agricultural producers seek out vets regularly to care for their animals. At the same time, medical advances have been emerging in veterinary care, extending care beyond preventive measures into specialized areas like immunotherapy and musculoskeletal conditions. Pet owners' evolving attitudes have also been driving pet spending in recent years, as more owners are willing to spend a premium on food, medicine or treatments that improve or extend their pets. Growing adoption of pet insurance, specifically for dogs, has also underpinned growth, as more owners can afford high-margin medical treatments. This willingness, combined with a record-high pet ownership rate, has strengthened the industry's in supporting pet owners. These trends have led industry-wide revenue to climb at a CAGR of 1.9% over the past five years – totaling an estimated $69.4 billion in 2025 – when revenue will rise an expected 2.4%. Pet ownership trends are among the most influential drivers for veterinary care in the US. According to the American Medical Veterinary Association, nearly 70% of US households had at least one dog or cat in 2024. Between 2016 and 2024, the dog population grew by over 12 million, while the cat population added nearly 16 million new cats. Higher pet ownership translates into a larger client base for vets, supporting revenue growth. Higher prices for vet visits have also contributed to the industry – data from the Bureau of Labor Statistics shows that the price for vet care rose faster than inflation between 2020 and 2024 and has jumped nearly 60% in cost between 2014 and 2024. Several factors contribute to price hikes, but higher costs are beginning to slow growth as pet owners defer the time between appointments, avoid elective visits or forgo ownership. Trends in pet ownership won't continue moving forward, creating a steady demand for comprehensive veterinary care. Still, the industry will face challenges addressing current headwinds, like labor shortages and rising operating costs. These challenges will likely maintain consolidation activity in the industry, creating a larger divide between corporate-owned or private equity-backed clinics and small, independent ones. Larger veterinary groups will also be able to offer more competitive wages to new graduates and access innovative tech advances, shifting competitive dynamics in the industry. In all, Veterinary Services' revenue is expected to expand at a CAGR of 1.7% to $75.6 billion over the next five years.

Notes: "Total Number of Veterans" represents FY 2021 projected Veteran counts from VA's Veteran Population Projection Model 2020 (VetPop20). These projections represent living Veterans as of 9/30/2021 and are made with the assumption that Veterans are not missing information (e.g., race, etc.). "Veteran VA Users" represents historical Veteran VA user counts from VA's United States Veterans Eligibility Trends and Statistics 2021 (USVETS 2021). These counts represent Veterans who used any VA benefit or service during FY 2021 (includes both living and deceased Veterans as of end of FY 2021). "Veteran VA Healthcare Users" represents historical Veteran VA healthcare user counts from VA's United States Veterans Eligibility Trends and Statistics 2021 (USVETS 2021). These counts represent Veterans who used VA healthcare during FY 2021 (includes both living and deceased Veterans as of end of FY 2021). "Veteran VA Users" includes Veteran users of VA healthcare or any other VA benefit or service. Sources: USVETS 2021 and VetPop20 Effective Date: 9/30/2021

Statistics about America's female vets. https://www.data.va.gov/story/women-veterans-forum

Note: "Total Number of Veterans" represents FY 2020 projected Veteran counts from VA's Veteran Population Projection Model 2018 (VetPop18). These projections are made with the assumption that Veterans are not missing information (e.g. age, sex, etc.). Note: "Veteran VA Users" and "Veteran VA Healthcare Users" represent historical Veteran counts from VA's United States Veterans Eligibility Trends and Statistics 2020 (USVETS 2020). Note: "Veteran VA Users" includes Veteran users of VA healthcare or any other VA benefit or service. Note: There are 4,214 Veteran VA Users not shown in the table below whose sex is missing. Of these, 4,126 are missing age. There are 4,158 Veteran VA Healthcare Users not shown in the table below whose sex is missing. Of these, 4,125 are missing age. Sources: USVETS 2020 and VetPop18

This datasets contains data pertaining to certain City services offered to veterans as mandated by Local Law 23 of 2015. Data is provided on an annual basis by calendar year and is disaggregated by borough where available. Applicants self-report veteran status when applying for City services.

This comprehensive report chronicles the history of women in the military and as Veterans, profiles the characteristics of women Veterans in 2009, illustrates how women Veterans in 2009 utilized some of the major benefits and services offered by the Department of Veterans Affairs (VA), and discusses the future of women Veterans in relation to VA. The goal of this report is to gain an understanding of who our women Veterans are, how their military service affects their post-military lives, and how they can be better served based on these insights.

This dataset includes over 200 US military cemeteries, compiled using information from the National Cemetery Administration, National Park Service, American Battlefield Commission, US Army, state veterans departments, and others. For the majority of cemeteries, within the description field, you will find a link to the cemetery's web page along with the physical address. This data was found online at http://bbs.keyhole.com/ubb/showflat.php/Cat/0/Number/132750/an/0/page/0#132750.

Influenza A virus (IAV) is an endemic respiratory pathogen affecting swine worldwide and is a public health concern as a zoonotic pathogen. Veterinarians may respond to IAV infection in swine with varied approaches depending on their perception of its economic impact on human and animal health. This study considered three primary veterinary practice categories: swine exclusive veterinary practitioner, large animal practitioner, which corresponds to veterinarians that work predominantly with food animals including but not exclusively porcine, and mixed animal practitioner, which corresponds to veterinarians working with companion and food animals. This survey aimed to assess U.S. veterinarian perceptions, biosecurity practices, and control methods for IAV in swine. In this study, 54.5% (188/345) of the veterinarians that were targeted responded to all portions of the survey. The study results presented different perceptions regarding IAV among veterinarians in different types of veterinary practices and the current IAV mitigation practices implemented in swine farms based on strategic decisions. Collectively, this study also revealed the veterinarians' perceptions that IAV as a health problem in swine is increasing, IAV has a moderate economic impact, and there is a high level of concern regarding IAV circulating in swine. These findings highlight the need for IAV surveillance data, improved vaccine strategies, as well as important opportunities regarding methods of control and biosecurity. Additionally, results of this survey suggest biosecurity practices associated with the veterinarian's swine operations and prevention of zoonotic diseases can be strengthened through annual IAV vaccination of humans and support of sick leave policies for farm workers.

This dataset was developed by the Research & Analytics Group at the Atlanta Regional Commission using data from the U.S. Census Bureau.For a deep dive into the data model including every specific metric, see the Infrastructure Manifest. The manifest details ARC-defined naming conventions, field names/descriptions and topics, summary levels; source tables; notes and so forth for all metrics.Naming conventions:Prefixes: None Countp Percentr Ratem Mediana Mean (average)t Aggregate (total)ch Change in absolute terms (value in t2 - value in t1)pch Percent change ((value in t2 - value in t1) / value in t1)chp Change in percent (percent in t2 - percent in t1)s Significance flag for change: 1 = statistically significant with a 90% CI, 0 = not statistically significant, blank = cannot be computed Suffixes: _e19 Estimate from 2014-19 ACS_m19 Margin of Error from 2014-19 ACS_00_v19 Decennial 2000, re-estimated to 2019 geography_00_19 Change, 2000-19_e10_v19 2006-10 ACS, re-estimated to 2019 geography_m10_v19 Margin of Error from 2006-10 ACS, re-estimated to 2019 geography_e10_19 Change, 2010-19The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent. The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2015-2019). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available. For further explanation of ACS estimates and margin of error, visit Census ACS website.Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2015-2019Data License: Creative Commons Attribution 4.0 International (CC by 4.0)Link to the manifest: https://www.arcgis.com/sharing/rest/content/items/3d489c725bb24f52a987b302147c46ee/data

Veterans Health Administration (VHA) offers Annual Evaluations (AEs) to Veterans with spinal cord injuries and disorders (SCI/D) for preventive services, managing common complications, psychosocial services, and addressing equipment needs. Obtain Veteran perceptions of AE services and examine their association with Veteran characteristics and receipt of AEs. Surveys were sent to n = 8,421 Veterans in the VHA SCI/D Registry electronically (n = 8,121) or through US mail (n = 300), with a 23.64% response rate. After excluding participants with missing data, n = 1,687 Veterans were included in descriptive and logistic regression analyses. Respondents were aged 60.7 years (SD=11.60) on average; most were male (91.2%), white (75.9%), and non-Hispanic (90.5%). 72.4% indicated receiving their most recent SCI/D AE about one year ago, 24.8% more than one year ago, and 3.4% had never had an AE. The most frequently reported reasons for not receiving an AE were COVID-19 related concerns (46.1%), and that AE was not offered (23.4%). Most (73.7%) indicated the AE was “Very Important” for their health and well-being. Veterans living more than 120 min from their VA had lower odds (0.51, 95% CI 0.32–0.80) of reporting recent AEs compared to Veterans who lived within 30 min. Veterans expressed high levels of satisfaction with the AE and found many aspects to be valuable. Additional strategies are needed to address travel barriers and COVID-19 related access challenges to bolster AE receipt. Future research and efforts to leverage technology for reminders may improve AE uptake.

Graph and download economic data for Population Level - Total Veterans, 18 Years and over (LNU00049526) from Jan 2000 to Aug 2025 about 18 years +, veterans, civilian, population, and USA.

This blog post was posted on October 8, 2015 and was written by Robbie Barbero and Noemie Levy. This is a cross-post from the White House blog.

Graph and download economic data for Population Level - Veterans, Vietnam-Era and Earlier Wartime Periods, 18 Years and over (LNU00077884) from Sep 2008 to Aug 2025 about korean war, Vietnam Era, World War, 18 years +, veterans, civilian, population, and USA.

This report provides information regarding suicide mortality for the years 2001–2014. It incorporates the most recent mortality data from the VA/Department of Defense (DoD) Joint Suicide Data Repository and includes information for deaths from suicide among all known Veterans of U.S. military service. Data for the Joint VA/DoD Suicide Data Repository were obtained from the National Center for Health Statistics’ National Death Index through collaboration with the DoD, the CDC, and the VA/DoD Joint Suicide Data Repository initiative. Data available from the National Death Index include reports of mortality submitted from vital statistics systems in all 50 U.S. states, New York City, Washington D.C., Puerto Rico, and the U.S. Virgin Islands.

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

PetEVAL

We introduce PetEVAL, the first benchmark dataset derived from real-world, free-text veterinary electronic health records (EHRs). PetEVAL comprises 17,600 professionally annotated EHRs from first-opinion veterinary practices across the UK, partitioned into training (11,000), evaluation (1,600), and test (5,000) sets with distinct clinic distributions to assess model generalizability. Each record is annotated with International Classification of Disease 11 (ICD-11) syndromic… See the full description on the dataset page: https://huggingface.co/datasets/SAVSNET/PetEVAL.

Contains roughly 1200 datasets from the VA Open Data catalog, as made available through the data.json. Excludes datasets that have no public downloads. Also includes a _failures.csv for download links that lead to 404 errors, for posterity. About Open Data (from site): Open data is VA data that is freely available to the public. It is a by-product of the work the VA does for Veterans, and is not personal data (names, addresses, birthplace, etc…). The idea of open data is that public data should be easily accessible and usable by anyone to create products like web or mobile apps, infographics, or stories - the sky is really the limit. For years, government data has made it possible for innovators and entrepreneurs to create products of value for the American people (if you have ever used a GPS you have benefited from one of these products). We want to keep this tradition going. Packed with experimental SciOp CLI Pack command.

Dataset is cases managed by NYC DVS for service, care or resources supported via VetConnect, phone, in-person, postal mail or electronic mail. This is a compilation of the agency's cases which is assistance requests. Each record represents a requested submitted by client for service, care or resource. This dataset provides information on the issues, concerns, and service needs that veterans, service members, and their families have sought assistance for.

Data from America's War factsheet with only those who served and living