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.

Graph and download economic data for Unemployment Rate - Total Veterans, 18 Years and over (LNU04049526) from Jan 2000 to Feb 2025 about 18 years +, veterans, household survey, unemployment, rate, and USA.

Charactertics of the veteran population such as age, period of service, educational attainment, income, disability, etc. as reported by the US Census Bureau's American Community Survey five-year estimates. The year shown in the dataset refers to the final year of the five-year reporting period (ie "2010" refers to the 2006-2010 ACS).

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

VBA HOUSING BENEFITS PROGRAM to provide veterans who are eligible for a Specially Adapted Housing grant with loan directly from the VA in certain circumstances. Permanently and totally disabled Veterans who served on active duty on or after September 16, 1940 and are eligible for a Specially Adapted Housing grant. VA may make loans up to $33,000 to eligible applicants if (a) the veteran is eligible for a VA Specially Adapted Housing grant, and (b) a loan is necessary to supplement the grant, and (c) home loans from a private lender are not available in the area where the property involved is located.

About this dataset

Context

The dataset tabulates the Veteran town population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Veteran town. The dataset can be utilized to understand the population distribution of Veteran town by age. For example, using this dataset, we can identify the largest age group in Veteran town.

Key observations

The largest age group in Veteran, New York was for the group of age 0-4 years with a population of 463 (13.86%), according to the 2021 American Community Survey. At the same time, the smallest age group in Veteran, New York was the 75-79 years with a population of 82 (2.45%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

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

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Veteran town is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Veteran town total population. 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 Veteran town Population by Age. You can refer the same here

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.

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.

In 2022 in the United States, about 2.1 million veterans had a service-connected disability rating of 70 percent or higher. About 11.4 million veterans had no service-connected disability rating in that year.

VBA BENEFIT PROGRAM to assist wartime veterans in need whose non-service- connected disabilities are permanent and total preventing them from following a substantially gainful occupation. A Veteran who meets the wartime service requirements is potential eligible if he/she is: • permanently and totally disabled for reasons not necessarily due to service, • age 65 or older, or • is presumed to be totally and permanently disabled for pension purposes because: o he/she is a patient in a nursing home for long-term care due to a disability, or o being disabled, as determined by the Commissioner of Social Security (SS) for purposes of any benefits administered by the Commissioner, such as SS disability benefits or Supplemental Security Income. Income restrictions are prescribed in 38 U.S.C. 1521. Pension is not payable to those whose estates are so large that it is reasonable they use the estate for maintenance. A Veteran meets wartime service requirements if he/she served: • a total of 90 days or more during one or more periods of war; • 90 or more consecutive days that began or ended during a period of war; or • for any length of time during a period of war if he/she was discharged or released for a service-connected disability. Veterans entering service after September 7, 1980, must also meet the minimum active duty requirement of 24 months of continuous service or the full period to which the Veteran was called to active duty. (38 U.S.C.5303(A)).

The Veterans Health Administration (VHA) is increasingly dependent upon data. Most of its employees generate and use vast amounts of data on a daily basis. To improve our capacity for data analysis while providing the most efficient and the highest quality health care to our Veteran patients, VHA, working with the VA Office of Information and Technology, implemented a health data warehouse. Central to this plan is consolidating data from disparate sources into a coherent single logical data model. The Corporate Data Warehouse (CDW) is the physical implementation of this logical data model at the enterprise level for VHA. Although the CDW initially began to store data as early as 2006, a renewed effort began in 2010 to accelerate CDW's content by including more subject areas from Veterans Health Information Systems and Technology Architecture (VistA) and content from other existing national data systems. CDW supports fully developed subject areas in its production environment as well as supporting rapid prototyping by extracting data directly from source systems with very minor data transformations. The Regional Data Warehouses and the Veterans Integrated Service Network (VISN) Data Warehouses share content from CDW and allow for greater reporting flexibility at the local level throughout the VHA organization.

About this dataset

Context

The dataset tabulates the Franklin population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Franklin. The dataset can be utilized to understand the population distribution of Franklin by age. For example, using this dataset, we can identify the largest age group in Franklin.

Key observations

The largest age group in Franklin, VA was for the group of age 10 to 14 years years with a population of 641 (7.81%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Franklin, VA was the 85 years and over years with a population of 140 (1.70%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Franklin is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Franklin total population. 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 Franklin Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Veteran town by race. It includes the population of Veteran town across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Veteran town across relevant racial categories.

Key observations

The percent distribution of Veteran town population by race (across all racial categories recognized by the U.S. Census Bureau): 89.11% are white, 7.99% are Black or African American, 0.39% are American Indian and Alaska Native, 0.03% are Asian, 1.20% are some other race and 1.29% are multiracial.

https://i.neilsberg.com/ch/veteran-ny-population-by-race.jpeg" alt="Veteran town population by race">

Content

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

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Veteran town
• Population: The population of the racial category (excluding ethnicity) in the Veteran town is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Veteran town total population. 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 Veteran town Population by Race & Ethnicity. You can refer the same here

The Veterans Health Administration Medical Facilities dataset includes Veteran Affairs hospitals, Veteran Affairs Residential Rehabilitation Treatment Programs (RRTP), Veteran Affairs Nursing Home Care Units (NHCU), Veteran Affairs Outpatient Clinics (VAOC), Vet Centers, and Veteran Affairs Medical Centers (VAMC). It should not include planned and suspended (non-operational) sites and mobile clinics. These definitions were set by the Veterans Health Administration (VHA) Policy Board in December 1998 and are the basis for defining the category and the additional service types for each VHA service site. These definitions cover sites generally owned by the Department of Veterans Affairs (VA) with the exception of leased and contracted community-based outpatient clinics (CBOCs). 1. VA HOSPITAL: an institution (health care site) that is owned, staffed and operated by VA and whose primary function is to provide inpatient services. NOTE: Each geographically unique inpatient division of an integrated facility is counted as a separate hospital. 2. VA RESIDENTIAL REHABILITATION TREATMENT PROGRAM (RRTP): provides comprehensive health and social services in a VA facility for eligible veterans who are ambulatory and do not require the level of care provided in nursing homes. 3. VA NURSING HOME CARE UNITS (NHCU): provides care to individuals who are not in need of hospital care, but who require nursing care and related medical or psychosocial services in an institutional setting. VA NHCUs are facilities designed to care for patients who require a comprehensive care management system coordinated by an interdisciplinary team. Services provided include nursing, medical, rehabilitative, recreational, dietetic, psychosocial, pharmaceutical, radiological, laboratory, dental and spiritual. 4. VA OUTPATIENT CLINICS: a. Community-Based Outpatient Clinic (CBOC): a VA-operated, VA-funded, or VA-reimbursed health care facility or site geographically distinct or separate from a parent medical facility. This term encompasses all types of VA outpatient clinics, except hospital-based, independent and mobile clinics. Satellite, community-based, and outreach clinics have been redefined as CBOCs. Technically, CBOCs fall into four Categories, which are: > (i) VA-owned. A CBOC that is owned and staffed by VA. > (ii) Leased. A CBOC where the space is leased (contracted), but is staffed by VA. NOTE: This includes donated space staffed by VA. > (iii) Contracted. A CBOC where the space and the staff are not VA. This is typically a Healthcare Management Organization (HMO)-type provided where multiple sites can be associated with a single station identifier. > (iv) Not Operational. A CBOC which has been approved by Congress, but has not yet begun operating. b. Hospital-Based Outpatient Clinic: outpatient clinic functions located at a hospital. c. Independent Outpatient Clinic: a full-time, self-contained, freestanding, ambulatory care clinic that has no management, program, or fiscal relationship to a VA medical facility. Primary and specialty health care services are provided in an outpatient setting. 5. VET CENTER: Provides professional readjustment counseling, community education, outreach to special populations, brokering of services with community agencies, and access to links between the veteran and VA. 6. VA MEDICAL CENTER (VAMC): a medical center is a unique VA site of care providing two or more types of services that reside at a single physical site location. The services provided are the primary service as tracked in the VHA Site Tracking (VAST) (i.e., VA Hospital, Nursing Home, Domiciliary, independent outpatient clinic (IOC), hospital-based outpatient clinic (HBOC), and CBOC). The definition of VA medical center does not include the Vet Centers as an identifying service. This dataset is based upon GFI data received from the National Geospatial-Intelligence Agency (NGA). At the request of NGA, text fields in this dataset have been set to all upper case to facilitate consistent database engine search results. At the request of NGA, all diacritics (e.g., the German umlaut or the Spanish tilde) have been replaced with their closest equivalent English character to facilitate use with database systems that may not support diacritics. The currentness of this dataset is indicated by the [CONTDATE] attribute. Based upon this attribute, the oldest record dates from 09/21/2007 and the newest record dates from 10/15/2007.

Provides the number of Veterans insured under the Veterans' Group Life Insurance (VGLI) program by state. This report provides a snapshot of the active VGLI membership as of June 30, 2015. For members who reside outside the United States, membership is not identified by individual country. The total number of members was captured to ensure 100% of the population was identified in the report.

About this dataset

Context

The dataset tabulates the Grundy population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Grundy. The dataset can be utilized to understand the population distribution of Grundy by age. For example, using this dataset, we can identify the largest age group in Grundy.

Key observations

The largest age group in Grundy, VA was for the group of age 85 years and over years with a population of 137 (17.52%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Grundy, VA was the 80 to 84 years years with a population of 6 (0.77%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Grundy is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Grundy total population. 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 Grundy Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the Orange population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Orange. The dataset can be utilized to understand the population distribution of Orange by age. For example, using this dataset, we can identify the largest age group in Orange.

Key observations

The largest age group in Orange, VA was for the group of age 25-29 years with a population of 507 (10.12%), according to the 2021 American Community Survey. At the same time, the smallest age group in Orange, VA was the 75-79 years with a population of 83 (1.66%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

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

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Orange is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Orange total population. 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 Orange Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the Lee County population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Lee County. The dataset can be utilized to understand the population distribution of Lee County by age. For example, using this dataset, we can identify the largest age group in Lee County.

Key observations

The largest age group in Lee County, VA was for the group of age 55 to 59 years years with a population of 1,608 (7.30%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Lee County, VA was the 85 years and over years with a population of 481 (2.18%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Lee County is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Lee County total population. 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 Lee County Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the Painter population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Painter. The dataset can be utilized to understand the population distribution of Painter by age. For example, using this dataset, we can identify the largest age group in Painter.

Key observations

The largest age group in Painter, VA was for the group of age 50 to 54 years years with a population of 36 (11.84%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Painter, VA was the 80 to 84 years years with a population of 3 (0.99%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Painter is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Painter total population. 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 Age. You can refer the same here

About this dataset

Context

The dataset tabulates the Quantico population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Quantico. The dataset can be utilized to understand the population distribution of Quantico by age. For example, using this dataset, we can identify the largest age group in Quantico.

Key observations

The largest age group in Quantico, VA was for the group of age 60-64 years with a population of 67 (13.35%), according to the 2021 American Community Survey. At the same time, the smallest age group in Quantico, VA was the 40-44 years with a population of 1 (0.20%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

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

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Quantico is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Quantico total population. 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 Quantico Population by Age. You can refer the same here