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

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

NOTE: This dataset is no longer supported and is provided as-is. Any historical knowledge regarding meta data or it's creation is no longer available. All known information is proved as part of this data set. The Veteran Health Administration, in support of the Open Data Initiative, is providing the Veterans Affairs Suicide Prevention Synthetic Dataset (VASPSD). The VASPSD was developed using a real, record-level dataset provided through the VA Office of Suicide Prevention. The VASPSD contains no real Veteran information, however, it reflects similar characteristics of the real dataset. NOTICE: This data is intended to appear similar to actual VASPSD data but it does not have any real predictive modeling value. It should not be used in any real world application.

About this dataset

Context

The dataset tabulates the Veteran town population by race and ethnicity. The dataset can be utilized to understand the racial distribution of Veteran town.

Content

The dataset will have the following datasets when applicable

Please note that in case when either of Hispanic or Non-Hispanic population doesnt exist, the respective dataset will not be available (as there will not be a population subset applicable for the same)

• Veteran, New York Population Breakdown by Race
• Veteran, New York Non-Hispanic Population Breakdown by Race
• Veteran, New York Hispanic or Latino Population Distribution by Their Ancestries

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

The Department of Human Services through Medicare assesses claims and makes payments to medical, hospital and allied health providers who treat eligible veterans, spouses and dependents, on behalf of the Department of Veterans' Affairs (DVA). \r \r The Department of Human Services, Medicare and DVA promote electronic claiming as the primary way of doing business with the government. For health professionals, electronic claiming means faster payment times, paperless lodgement of claims, faster reconciliation and more efficient confirmation of patient details. It also means lower administrative costs for the government. \r \r ** Overview of the Department of Veterans' Affairs Claiming Channels dataset** \r \r This dataset provides information on the channels used by allied health, medical and hospital providers, to lodge DVA claims for processing by Medicare. The dataset includes details on the volume of services processed via a particular channel and the value of the benefit paid. Further information on the dataset may be found in the metadata accompanying the dataset. \r \r Data is provided in the following formats: \r \r * Excel/ XLXS : The human readable version of the dataset for the current financial year (2016-2017) will be provided in an individual excel file and will be updated monthly. The human readable files for the 2015-2016 financial year may be found in the zipped excel files. \r \r \r * CSV: The machine readable version of the dataset may be found in the zipped csv file. This contains both monthly and financial year summaries. Metadata and 'Item ranges' are contained in stand-alone csvs within the zipped file.\r \r If you require statistics at a more detailed level, please contact statistics@humanservices.gov.au detailing your request. The Department of Human Services charges on a cost recovery basis for providing more detailed statistics and their provision is subject to privacy considerations. \r \r The Department of Veterans’ Affairs website contains statistical information regarding the veteran population that may be accessed by the public. \r \r Disclaimer: This data is provided by the Department of Human Services (Human Services) for general information purposes only. While Human Services has taken care to ensure the information is as correct and accurate as possible, we do not guarantee, or accept legal liability whatsoever arising from, or connected to its use. \r We recommend that users exercise their own skill and care with respect to the use of this data and that users carefully evaluate the accuracy, currency, completeness and relevance of the data for their needs. \r \r \r

About this dataset

Context

The dataset tabulates the Veteran town household income by gender. The dataset can be utilized to understand the gender-based income distribution of Veteran town income.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• Veteran, New York annual median income by work experience and sex dataset : Aged 15+, 2010-2022 (in 2022 inflation-adjusted dollars)
• Veteran, New York annual income distribution by work experience and gender dataset (Number of individuals ages 15+ with income, 2021)

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of Veteran town income distribution by gender. You can refer the same here

As of June 28, 2010, the Master Veteran Index (MVI) database based on the enhanced Master Patient Index (MPI) is the authoritative identity service within the VA, establishing, maintaining and synchronizing identities for VA clients, Veterans and beneficiaries. The MVI includes authoritative sources for health identity data and contains over 17 million patient entries populated from all VHA facilities nationwide. The MVI provides the access point mechanism for linking patient's information to enable an enterprise-wide view of patient information, uniquely identifies all active patients who have been admitted, treated, or registered in any VHA facility, and assigns a unique identifier to the patient. The MVI correlates a patient's identity across the enterprise, including all VistA systems and external systems, such as Department of Defense (DoD) and the Nationwide Health Information Network (NwHIN). The MVI facilitates the sharing of health information, resulting in coordinated and integrated health care for Veterans. New Information Technology systems must be interoperable with the MVI and legacy systems will establish integration by October 1, 2012. The Healthcare Identity Management (HC IdM) Team within VHA's Data Quality Program is the steward of patient identity data, performing maintenance and support activities.

This dataset provide a count of Veteran by their religious affiliation and state of residence. The dataset set covers all 50 states, District of Columbia and other territories.

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in Veteran town. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Veteran town. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

Key observations: Insights from 2023

In terms of income distribution across age cohorts, in Veteran town, the median household income stands at $84,066 for householders within the 25 to 44 years age group, followed by $60,882 for the 45 to 64 years age group. Notably, householders within the 65 years and over age group, had the lowest median household income at $54,337.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Age groups classifications include:

• Under 25 years
• 25 to 44 years
• 45 to 64 years
• 65 years and over

Variables / Data Columns

• Age Of The Head Of Household: This column presents the age of the head of household
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific age group

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Veteran town median household income by age. You can refer the same here

The SCD Veterans are broken out by SCD ratings (0-20 percent; 30-40 percent; 50-60 percent and 70-100 percent) for FY 1986 to FY 2020. Source: Department of Veterans Affairs, Veterans Benefits Administration; 1985-1998: COIN CP-127 Reports; 1999-2019: Annual Benefits Reports Prepared by the National Center for Veterans Analysis and Statistics, Office of Enterprise Integration, Department of Veterans Affairs, May 2021

This dataset contains a list of all entities that are currently marked as a Veteran Owned Business with The Texas Secretary of State. All information provided by the user, and collected on this page by the Office of the Texas Secretary of State, including information collected from the website and any web-based forms, is subject to the provisions of the Texas Public Information Act.

DISCLAIMER ON ACCURACY AND COMPLETENESS OF INFORMATION. While the Office of the Texas Secretary of State (the “SOS”) uses reasonable efforts to provide accurate and up-to-date information, some of the information provided is gathered by third-parties and has not been independently verified by the SOS. Data can quickly become out of-date. Although the information found on this system has been produced and processed from sources believed to be reliable, no warranty, express or implied, is made regarding accuracy, adequacy, completeness, legality, reliability or usefulness of any information. This disclaimer applies to both isolated and aggregate uses of information. SOS does not represent or warrant that access to the service will be uninterrupted or that there will be no failures, errors or omissions or loss of transmitted information.

The included dataset contains 10,000 synthetic Veteran patient records generated by Synthea. The scope of the data includes over 500 clinical concepts across 90 disease modules, as well as additional social determinants of health (SDoH) data elements that are not traditionally tracked in electronic health records. Each synthetic patient conceptually represents one Veteran in the existing US population; each Veteran has a name, sociodemographic profile, a series of documented clinical encounters and diagnoses, as well as associated cost and payer data. To learn more about Synthea, please visit the Synthea wiki at https://github.com/synthetichealth/synthea/wiki. To find a description of how this dataset is organized by data type, please visit the Synthea CSV File Data Dictionary at https://github.com/synthetichealth/synthea/wiki/CSV-File-Data-Dictionary.The included dataset contains 10,000 synthetic Veteran patient records generated by Synthea. The scope of the data includes over 500 clinical concepts across 90 disease modules, as well as additional social determinants of health (SDoH) data elements that are not traditionally tracked in electronic health records. Each synthetic patient conceptually represents one Veteran in the existing US population; each Veteran has a name, sociodemographic profile, a series of documented clinical encounters and diagnoses, as well as associated cost and payer data. To learn more about Synthea, please visit the Synthea wiki at https://github.com/synthetichealth/synthea/wiki. To find a description of how this dataset is organized by data type, please visit the Synthea CSV File Data Dictionary at https://github.com/synthetichealth/synthea/wiki/CSV-File-Data-Dictionary.

The Veterans Equitable Resource Allocation (VERA) database, is operated by the Allocation Resource Center (ARC) in Braintree, MA. The ARC is part of the Resource Allocation & Execution Office of the Office of Finance. The database is developed from the Patient Treatment File, National Patient Care Database, Fee Basis Medical and Pharmacy System, Decision Support System (DSS) National extracts, DSS Derived Monthly Program Cost Report (MPCR), Resident Assessment Instrument (RAI) Minimum Data Set (MDS), Clinical Case Registry (CCR), and Home Dialysis Data Collection System, the Pharmacy Benefits Management database and the Consolidated Enrollment File. Most of the clinical data is Veterans Health Information Systems and Technology Architecture data which is transmitted to the Austin Information Technology Center (AITC) where it is retrieved by the ARC each month. The ARC also retrieves DSS cost data from the AITC as well. Some additional information is received from the Hines Pharmacy Benefits Management and the CCR databases. The data from these sources is combined to develop patient-specific care and cost data for each hospitalization or visit at the location or treatment level. Aggregate tables summarize this data for reporting and analysis purposes. The VERA databases are the basis for resource allocation in the Veterans Health Administration.

About this dataset

Context

The dataset presents median household incomes for various household sizes in Veteran, New York, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, Veteran town did not include 6, or 7-person households. Across the different household sizes in Veteran town the mean income is $88,453, and the standard deviation is $42,301. The coefficient of variation (CV) is 47.82%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $49,948. It then further increased to $157,592 for 5-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/veteran-ny-median-household-income-by-household-size.jpeg" alt="Veteran, New York median household income, by household size (in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Veteran town median household income. You can refer the same here

NOTE: This dataset is Inactive and is no longer supported. Any historical knowledge regarding meta data or it's creation is no longer available. All known information is proved as part of this data set. The National Cardiac Device Surveillance Program Database supports the Eastern Pacemaker Surveillance Center (EPSC) staff in its function of monitoring some 11,000 Veterans Health Administration (VHA) patients who have implanted pacemakers or cardioverters. The database stores medically useful information about the patients and their pacemaker test results in order to highlight serial changes, which determine whether the pacemaker is still functioning normally, or whether the patient requires further intervention. The EPSC staff performs regular telephonic checkups, in conjunction with less frequent in-hospital clinic checkups, to determine when pacemakers need to be replaced. Patients are scheduled and called by the Pacemaker Surveillance Center, and have their electrocardiogram recorded and analyzed over the phone, using wires attached to their fingers and a VHA-supplied transmitter. Additionally, some patients are monitored via web-based downloads of their device telemetry. The Pacemaker Center also provides in-hospital clinic checkups for local Washington DC VHA pacemaker patients. All information obtained during the checkups is recorded in the EPSC Database. The database also contains records of pacemaker patients being monitored by VHA facilities east of the Mississippi and who are not being monitored directly by their respective VA medical centers. The VHA Department of Medical Services encourages local VHA medical centers to refer their patients for pacemaker follow-up monitoring to either the Eastern Surveillance Center or to the counterpart Western Surveillance Center in San Francisco, whichever is geographically appropriate. However, referral is optional. The database also maintains a registry of all VHA patients, living and deceased, who have had pacemakers implanted at, or who have been monitored by, VHA facilities. The EPSC receives information for the registry directly from the medical centers for patients that it does not monitor, totaling over 80,000 as of 2010.

About this dataset

Context

The dataset tabulates the Painter population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Painter across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2022, the population of Painter was 269, a 1.47% decrease year-by-year from 2021. Previously, in 2021, Painter population was 273, a decline of 0.00% compared to a population of 273 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Painter increased by 10. In this period, the peak population was 273 in the year 2020. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2022

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2022)
• Population: The population for the specific year for the Painter is shown in this column.
• Year on Year Change: This column displays the change in Painter population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Painter Population by Year. You can refer the same here

The Residency Allocation Database is used to determine allocation of funds for residency programs offered by Veterans Affairs Medical Centers (VAMCs). Information for the database comes from any VAMC that has made a funding request for its residency programs. The Office of Academic Affiliations distributes worksheets and memos are sent to participating VAMCs. VAMC personnel enter the information electronically into the database housed at the Academic Information Management Center (AIMC) located in St. Louis, Missouri. The data entry and collection process is done annually beginning in September and ending in December. The main user of this database is the Office of Academic Affiliations.

The Surgery Risk Assessment (SRA) database is part of the VA Surgical Quality Improvement Program (VASQIP). This database contains assessments of selected surgical operations performed at Veteran Affairs Medical Centers (VAMCs). Addition to the SRA database requires that the surgery is Major (as defined by the Current Procedural Terminology (CPT) codes assigned to the surgery), it must not be cardiac related, and it may not be concurrent with another surgery. Frequently performed other types of surgeries may also be excluded. Nurse reviewers at VAMCs gather the information from surgical data located in the Veterans Health Information Systems and Technology Architecture (VistA) environment. Information is also collected from pre-and post-operative charts and from interviews with patients. This information is entered into VistA and transmitted daily by a batch process to the Hines Office of Information & Technology (OI&T) Field Office. While the database has been in operation since 1995, the system only contains data for the current fiscal year. The data from previous fiscal years is archived if later retrieval is needed. Valid transmissions are sent to the VASQIP office at Denver for analysis. Information from non-assessed surgeries is transmitted from the VAMCs to the Hines OI Field Office monthly. This is also passed along to VASQIP at Denver. The users of this database include the VASQIP Executive Board.

This data set consists of one row per federal fiscal year (FY) from FY 2005 - FY 2019, and reports the number and percent of users each of seven VA programs for Veterans who were in service at any time between August 2, 1990, and September 10, 2001, the dates of the Pre-9/11 Gulf War era. The denominator of percent is the number of living Veterans in the FY. The number and percent of users is cumulative since FY 2005. Thus, for example FY 2006 data includes all Veterans who served in the era, were alive at some time during FY 2006 and participated in the program at any time during FY 2005 and FY 2006.

The Nuclear Medicine National HQ System database is a series of MS Excel spreadsheets and Access Database Tables by fiscal year. They consist of information from all Veterans Affairs Medical Centers (VAMCs) performing or contracting nuclear medicine services in Veterans Affairs medical facilities. The medical centers are required to complete questionnaires annually (RCS 10-0010-Nuclear Medicine Service Annual Report). The information is then manually entered into the Access Tables, which includes: * Distribution and cost of in-house VA - Contract Physician Services, whether contracted services are made via sharing agreement (with another VA medical facility or other government medical providers) or with private providers. * Workload data for the performance and/or purchase of PET/CT studies. * Organizational structure of services. * Updated changes in key imaging service personnel (chiefs, chief technicians, radiation safety officers). * Workload data on the number and type of studies (scans) performed, including Medicare Relative Value Units (RVUs), also referred to as Weighted Work Units (WWUs). WWUs are a workload measure calculated as the product of a study's Current Procedural Terminology (CPT) code, which consists of total work costs (the cost of physician medical expertise and time), and total practice costs (the costs of running a practice, such as equipment, supplies, salaries, utilities etc). Medicare combines WWUs together with one other parameter to derive RVUs, a workload measure widely used in the health care industry. WWUs allow Nuclear Medicine to account for the complexity of each study in assessing workload, that some studies are more time consuming and require higher levels of expertise. This gives a more accurate picture of workload; productivity etc than using just 'total studies' would yield. * A detailed Full-Time Equivalent Employee (FTEE) grid, and staffing distributions of FTEEs across nuclear medicine services. * Information on Radiation Safety Committees and Radiation Safety Officers (RSOs). Beginning in 2011 this will include data collection on part-time and non VA (contract) RSOs; other affiliations they may have and if so to whom they report (supervision) at their VA medical center.Collection of data on nuclear medicine services' progress in meeting the special needs of our female veterans. Revolving documentation of all major VA-owned gamma cameras (by type) and computer systems, their specifications and ages. * Revolving data collection for PET/CT cameras owned or leased by VA; and the numbers and types of PET/CT studies performed on VA patients whether produced on-site, via mobile PET/CT contract or from non-VA providers in the community.* Types of educational training/certification programs available at VA sites * Ongoing funded research projects by Nuclear Medicine (NM) staff, identified by source of funding and research purpose. * Data on physician-specific quality indicators at each nuclear medicine service.* Academic achievements by NM staff, including published books/chapters, journals and abstracts. * Information from polling field sites re: relevant issues and programs Headquarters needs to address. * Results of a Congressionally mandated contracted quality assessment exercise, also known as a Proficiency study. Study results are analyzed for comparison within VA facilities (for example by mission or size), and against participating private sector health care groups. * Information collected on current issues in nuclear medicine as they arise. Radiation Safety Committee structures and membership, Radiation Safety Officer information and information on how nuclear medicine services provided for female Veterans are examples of current issues.The database is now stored completely within MS Access Database Tables with output still presented in the form of Excel graphs and tables.