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

The Impact of COVID-19 on Veterans in America

County-Level Data on Veteran Cases and Proportion of Population

About this dataset

Welcome to the Kaggle dataset on The Impact of COVID-19 on Veterans in the United States! This dataset contains data on confirmed cases of COVID-19 in counties across the United States, as well as information on the percentage of each county's population that are veterans. With this dataset, you can investigate how the pandemic has impacted veterans specifically, and compare veteran case rates to the general population. How do veteran cases differ across age groups? Are there any geographical patterns? What can we learn about risk factors for COVID-19 among veterans? Download the dataset and explore for yourself today!

How to use the dataset

This dataset includes information on the number of confirmed cases of COVID-19 by county, as well as the percentage of the population in each county that are veterans. This data can be used to examine the relationship between veteran cases and the proportion of population who are veterans.

To do this, simply look at the 'CASES' and 'VET_CASES' columns for each county. The 'CASES' column represents the total number of confirmed cases of COVID-19 in that county, while the 'VET_CASES' column represents the number of confirmed cases among veterans. To compare these two values, simply divide 'VET_CASES' by 'CASES'. This will give you a ratio of veteran cases to total cases for each county.

You can then use this ratio to compare counties and see which ones have a higher proportion of veteran cases. This data can be used to help understand where more outreach may be needed to support veterans during this pandemic

Research Ideas

• Find the correlation between the number of veterans in a county and the number of confirmed cases of COVID-19.
• Find the counties with the highest percentage of veterans and the lowest number of confirmed cases of COVID-19.
• Predict how many veterans in a county will contract COVID-19 based on the percentage of veterans in the population

Columns

File: CountyVACOVID.csv | Column name | Description | |:---------------------------|:-----------------------------------------------------------------------------------------------------------------------| | FIPS | Federal Information Processing Standards code that uniquely identifies counties within the USA. (String) | | COUNTY | County name. (String) | | STATE | State name. (String) | | POP | County population. (Integer) | | VETS | Number of veterans in the county. (Integer) | | VET_PERCENT | Percentage of the population that are veterans. (Float) | | CASES | Number of confirmed cases of COVID-19 in the county. (Integer) | | YESTER_CASES | Number of confirmed cases of COVID-19 in the county from the previous day. (Integer) | | VET_CASES | Number of confirmed cases of COVID-19 in veterans in the county. (Integer) | | VET_YESTER | Number of confirmed cases of COVID-19 in veterans in the county from the previous day. (Integer) | | LOWER_Hospitalizations | Lower bound of the 95% confidence interval for the number of hospitalizations due to COVID-19 in the county. (Integer) | | UPPER_Hospitalizations | Upper bound of the 95% confidence interval for the number of hospitalizations due to COVID-19 in the county. (Integer) | | DATE | Date of data. (Date) |

File: VAChart.csv | Column name | Description | |:------------------------|:----------------------------------------------------------------------------------| | DATE | Date of data. (Date) | | US Cases | The number of confirmed cases of COVID-19 in the United States. (Integer) | | **New US ...

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.

My HealtheVet (www.myhealth.va.gov) is a Personal Health Record portal designed to improve the delivery of health care services to Veterans, to promote health and wellness, and to engage Veterans as more active participants in their health care. The My HealtheVet portal enables Veterans to create and maintain a web-based PHR that provides access to patient health education information and resources, a comprehensive personal health journal, and electronic services such as online VA prescription refill requests and Secure Messaging. Veterans can visit the My HealtheVet website and self-register to create an account, although registration is not required to view the professionally-sponsored health education resources, including topics of special interest to the Veteran population. Once registered, Veterans can create a customized PHR that is accessible from any computer with Internet access.

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

Mental Illness Disparities in Vets

Comparative Rates of Diagnoses Among Vulnerable Veteran Groups

By US Open Data Portal, data.gov [source]

About this dataset

This dataset, from the FY13 National Veteran Health Equity Report, provides a unique opportunity to understand mental illness disparities among vulnerable veteran groups in comparison to their non-vulnerable counterparts. Through this data we can learn about the sociodemographics, utilization patterns and rates of diagnosed health conditions for vulnerable veterans across VA facilities. This valuable information can inform how VA healthcare is managed and how stakeholders are able to set meaningful goals for improving care for these special populations. By equipping ourselves with understanding of mental illness diagnosis trends among vulnerable veteran population, we can continue our quest to ensure that all veterans in need get quality care when they need it

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How to use the dataset

Exploring the dataset

It is important to understand each variable before interpreting the data more closely so let's take a closer look at each variable: - Vulnerable_population - This variable describes which particular demographic group is being studied; e.g., gender or race/ethnicity.
- Section - This variable indicates which section of the report that the data comes from; e.g., 1 or 2. - Long_title - This variable contains information regarding the full title of a given study item as found within the report itself; e.g., Mental illness diagnoses (K-12).”
- Short_title - This variable offers a shortened version of a study item’s title for easy referencing later on; e.g.,M-I diagnoses. * Group -This variable describes what population group (i.e., veterans) is being studied specifically over time within an identified vulnerable population group per section and within overall categories specified by long titles and short titles; e

Research Ideas

• Analyzing mental illness disparities among different vulnerable veteran groups to inform target outreach programs for care and resources.
• Using the dataset to track rates of diagnosied mental illnesses by section, group and subgroup in order to assess how factors such as age, sex and other demographics may play a role in mental health disparities.
• Utilizing comparative rate differences between groups to identify potential gaps in care or access to diagnostics or treatments for veterans with mental illness

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: comma-separated-values-file-1.csv | Column name | Description | |:--------------------------|:--------------------------------------------------------------| | Vulnerable_population | The vulnerable population being studied. (String) | | Section | The section of the report that the data pertains to. (String) | | Long_title | A more detailed description of the data. (String) | | Short_title | A shortened version of the title. (String) | | Group | The general group being studied. (String) | | Group1 | Any further subgroups identified. (String) | | Subgroup | Further details regarding the subgroups. (String) | | Mental Illness | The mental illness being assessed. (String) | | Value | The value associated with the mental illness. (Numeric) |

Acknowledgements

If you use this dataset in your research, please credit the original authors. If you use this dataset in your research, please credit US Open Data Portal, data.gov.

A Veteran user is defined as any Veteran who received or used at least one VA benefit or service during the fiscal year. Veteran spouses, Veteran dependents, and active military service members who used VA benefits and services were not included in the analysis. Each Veteran is only counted once in the overall total even if he/she used multiple programs.

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

VetPop2023 top 10 states where Veterans reside in fiscal year 2024

Details include presentation of Veterans Employment rates by gender, age, and period of service.

National Center for Veterans Analysis and Statistics (NCVAS) Web Site. The web site contains a collection of statistics, data, and reports about Veterans and the utilization of VA benefits and services.

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 infographic shows not only service members who died in battle, but all those who have served and died since their military service. It also highlights the memorial benefits VA provides to those who have served and died.

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.

To show count of Post 9/11 Veterans (Living only) by County for the creation of a heat map to align with Wounded Warrior Projects’ programming.

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/.

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 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 tracking system is for patients identified in the Creutzfeldt Jakob Disease (CJD) lookback notification initiative established in January 1995 as part of the lookback notification of all Department of Veterans Affairs (VA) patients who may have received certain lot numbers of blood derivatives or blood components produced from donors with CJD. Even though the Centers of Disease Control and Prevention characterized the risk of transmission of CJD from blood derivative products as 'small and immeasurable' and 'theoretical', VA believed it had an ethical obligation to inform patients of the exposure to potentially contaminated blood components or plasma derivative products while under VA's care. The patients were notified. The Veterans Health Administration (VHA) established a tracking system for individuals who received these products to determine if there was an increase in VA CJD cases. Every two years, the VHA National Infectious Diseases Service updates the status of patients who had previously been identified through the VA CJD lookback notification initiative. The Creutzfeldt-Jakob Disease Lookback Dataset (CJDLD) is a prospective collection of data; requests for individual reports are not accepted.

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 $97,875, and the standard deviation is $43,832. The coefficient of variation (CV) is 44.78%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2023, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $53,106. It then further increased to $162,847 for 5-person households, the largest household size for which the bureau reported a median household income.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 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 2023 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