In 2024, about 1.4 million veterans were living in Texas - the most out of any state. Florida, California, North Carolina, and Georgia rounded out the top five states with the highest veteran population in that year.

This 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.

This Department of Veteran Affairs (DVA) National Center for Veterans Analysis and Statistics (NCVAS) intuitive web application displays the current and projected future veterans population from fiscal year (FY) 2020 through FY2050 by State and County boundaries. The source of the Veteran population projections come from the Veteran Population Projection Model 2020 (VetPop2020), which provides the latest official Veteran population projection from the DVA. VetPop2020 is a deterministic projection model developed by the office of Predictive Analytics to estimate and project the Veteran Population from FY2020 to FY2050. Using the best available Veteran data at the end of FY2020 as the base population. VetPop2020 projects living and deceased Veteran counts by key demographic characteristics such as age, gender, period of service, and race/ethnicity at various geographic levels for the next 30 years. See VetPop2020 A Brief Description.

This statistic shows the percentage of U.S. adults who were veterans in the United States in 2024, by state. In 2024, about *** percent of adults in Alaska were veterans, whereas only *** percent of adults were veterans in the state of New York.

These data are based on the latest Veteran Population Projection Model, VetPop2020, provided by the National Center for Veterans Statistics and Analysis, published in 2023.

1. This provides a count of Veterans on the rolls for Compensation Service in FY 2024 with expenditures for compensation claims by state and the age groups of Veterans in each category.
2. See VBA's Annual Benefits Report for additional information: www.benefits.va.gov/REPORTS/abr/
3. To protect Veteran privacy any categories containing less than ten Veterans are not included.

Summary of statistics related to veterans in Wyoming, including veteran population and available facilities. Includes data charts and a map of veteran population distribution and VA facilities.

The Department of Veterans Affairs provides official estimates and projections of the Veteran population using the Veteran Population Projection Model (VetPop). Based on the available information through September 30, 2023, the latest model VetPop2023 estimated the Veteran population for the period from 2000 to 2023. The “Number of Estimated Veterans by State, Sex, and Age Group, 9/30/2000 to 9/30/2023” data table shows the number of living Veterans at the end of each fiscal year from 2000 to 2023.

These data are based on the latest Veteran Population Projection Model, VetPop2020, provided by the National Center for Veterans Statistics and Analysis, published in 2023.

Veteran data in .csv files. Includes population/demographic data of age distribution, period of service, income, and education. Also includes population projections. Compares Connecticut to national data

percent-change-by-state veteran-population

Information about the veteran population in Washington state from 2019-2021.

This project includes a pdf capture of a webpage and the underlying data for the visualizations.State Summaries capture major facts about the Veteran population, including gender, age, population projections etc., and VA's presence in each state, including facilities and expenditures. The reports are produced by VA's National Center for Veterans Analysis and Statistics.

US Military & Veteran Analysis by State

State-level integration of veteran demographics, firearm ownership, mental health indicators, and VA healthcare utilization from 6 authoritative sources.

  What's Inside

51 records (50 states + DC) Veteran population and percentage Firearm ownership rates (RAND 2016) Suicide rates: veteran vs civilian PTSD prevalence estimates VA healthcare utilization

  Why This Dataset Exists

No single source provides this combined view.… See the full description on the dataset page: https://huggingface.co/datasets/lukeslp/us-military-veteran-analysis.

VetPop2020 projection of living Veterans by gender and period of service at the state level. Note: Rounding to the nearest 1,000 is always appropriate for VetPop estimates.

Map and tables with data describing Virginia's veteran population. Data tables cover: Veterans Affairs (VA) facilities and expenditures; veteran population including age distribution, period of service, household income, and educational attainment; veterans' use of VA healthcare and benefits; and projected veteran population changes as well as projections by age, gender, period of service, race/ethnicity, and age distribution over time.

This file shows the number of Veterans in each state who used each of 7 VA benefits during fiscal year 2016. It also shows the unique count of users across all VA programs and an estimate of the total Veteran population in each state.

Retirement Notice: This item is in mature support as of February 2025 and will retire in December 2027. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version.This layer shows veteran status of adults (18+) broken down by age and sex. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. This layer is symbolized to show the percentage of adults who are veterans. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top left. Vintage: 2019-2023ACS Table(s): B21001Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National Figures: data.census.gov The United States Census Bureau's American Community Survey (ACS):About the Survey Geography & ACS Technical Documentation News & Updates This ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data. Data Note from the Census: Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables. Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases. Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2023 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters).The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page. Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution. The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate. The data for this geographic area cannot be displayed because the number of sample cases is too small.

These data are based on the latest Veteran Population Projection Model, VetPop2020, provided by the National Center for Veterans Statistics and Analysis, published in 2023.

🔗 Related Datasets

• FY 2021_NCVAS Age Group over time Data For State Summary bar chart — US Department of Veteran Affairs
• FY 2021_NCVAS Vet Pop Gender Over Time Data For State Summaries — US Department of Veteran Affairs
• FY 2021_NCVAS Period of Service Over Time For State Summaries — US Department of Veteran Affairs
• FY 2021_NCVAS Vet Population by Race and Ethnicity For State Summaries — US Department of Veteran Affairs

In 2022, about ****** veterans living in California were homeless, the most out of all U.S. states.