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TwitterWelcome 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!
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
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 ...
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TwitterNotes: "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
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TwitterNotes: "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
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Veteran town 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 Veteran town 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 2023, the population of Veteran town was 3,235, a 0.61% decrease year-by-year from 2022. Previously, in 2022, Veteran town population was 3,255, a decline of 1.30% compared to a population of 3,298 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Veteran town decreased by 41. In this period, the peak population was 3,352 in the year 2011. 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).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
Variables / Data Columns
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.
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 dataset is a part of the main dataset for Veteran town Population by Year. You can refer the same here
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TwitterThis table provides state-level estimates of the percentage of Veterans who were VA pension recipients at the end of the fiscal years 2019, 2020, 2021, and 2023. Percents are rounded to the nearest tenth. Percents for fiscal year (FY) 2022 are not available by state. Prepared by the National Center for Veterans Analysis and Statistics. Sources: Department of Veterans Affairs, Office of Enterprise Integration, Veteran Population Projection Model (VetPop) 2020, Veteran Object FY 2023 data, United States Veterans Eligibility Trends & Statistics (USVETS) 2019, 2020, and 2021 data; Veterans Benefits Administration, VETSNET FY 2019, FY 2020, FY 2021, and FY 2023 pension data.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset contains publications from the National Center for Veterans Analysis and Statistics (NCVAS) regarding the United States veteran population. The data, which are based on the current projection model VetPop2023, describe veteran population across key demographic characteristics such as age, gender, period of service, and race/ethnicity at various geographic levels and are presented in various infographics, visualizations, and tabular data files.
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TwitterThis 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.
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TwitterNational Center for Veterans Analysis and Statistics Pocket Cards archives are a compilation of facts related to the count of Veterans receiving Department of Veterans Affairs benefits and healthcare utilization.
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TwitterThis report uses data from the 2011 American Community Survey to compare the demographic and socioeconomic characteristics of minority Veterans and minority non-Veterans. It also explores future projections of the minority Veteran population using VetPop 2011 and possible health issues that may affect the minority Veterans.
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TwitterMy 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.
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TwitterNote: "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. ethnicity, 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.
Sources: USVETS 2020 and VetPop18
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TwitterNOTE: 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.
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TwitterThe 2010 National Survey of Veterans (NSV) is the sixth in a series of comprehensive nationwide surveys designed to help the Department of Veterans Affairs (VA) plan its future programs and services for Veterans. It also provides a snapshot profile of the Veteran population. Data collected through the NSV enables VA to: follow changing trends in the Veteran population; compare characteristics of Veterans who use VA benefits and services with those of Veterans who do not; study VA�s role in the delivery of all benefits and services that Veterans receive; and update information about Veterans to help the Department develop its policies.
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TwitterStatistics about America's female vets. https://www.data.va.gov/story/women-veterans-forum
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TwitterNote: "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
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TwitterThis report uses data from the 2010 National Survey of Veterans, Active Duty Service Members, Activated National Guards and Reserve Members, Family Members and Survivors (NSV) to compare the awareness and knowledge of VA services and benefits among Veterans' groups. It also explores the differences in levels of awareness between male Veterans and female Veterans.
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TwitterAttribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
License information was derived automatically
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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TwitterThis report generates estimates of mortality rates and life expectancy for Veterans for ages 20 to 85, in the 10 to 15 year periods population. The report also estimates the education and income differentials in life expectancy for Veterans in 2011 to 2014
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TwitterAs 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.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset contains publications from the National Center for Veterans Analysis and Statistics (NCVAS) featuring various maps, and a geodatabase, related to veteran statistics. These maps visually represent data on veteran distribution across the United States. Additionally, the folder structure mirrors the organization of the website. Miscellaneous is the folder that contains a geodatabase of VA facilities.
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TwitterWelcome 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!
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
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 ...