About this dataset

Context

The dataset tabulates the population of Virginia Beach by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Virginia Beach. The dataset can be utilized to understand the population distribution of Virginia Beach by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Virginia Beach. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Virginia Beach.

Key observations

Largest age group (population): Male # 30-34 years (18,292) | Female # 30-34 years (18,080). 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

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Virginia Beach population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Virginia Beach is shown in the following column.
• Population (Female): The female population in the Virginia Beach is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Virginia Beach for each 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 Virginia Beach Population by Gender. You can refer the same here

About this dataset

Context

The dataset tabulates the Virginia Beach 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 Virginia Beach 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 Virginia Beach was 453,649, a 0.31% decrease year-by-year from 2022. Previously, in 2022, Virginia Beach population was 455,069, a decline of 0.76% compared to a population of 458,569 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Virginia Beach increased by 26,825. In this period, the peak population was 459,684 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 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Virginia Beach is shown in this column.
• Year on Year Change: This column displays the change in Virginia Beach 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 Virginia Beach Population by Year. You can refer the same here

Graph and download economic data for Population Estimate, Total, Not Hispanic or Latino, Two or More Races (5-year estimate) in Virginia Beach City, VA (B03002009E051810) from 2009 to 2023 about Virginia Beach City, VA; Virginia Beach; VA; non-hispanic; estimate; persons; 5-year; population; and USA.

Graph and download economic data for Population Estimate, Total, Not Hispanic or Latino, Native Hawaiian and Other Pacific Islander Alone (5-year estimate) in Virginia Beach City, VA (B03002007E051810) from 2009 to 2023 about Virginia Beach City, VA; Virginia Beach; Pacific Islands; VA; non-hispanic; estimate; persons; 5-year; population; and USA.

This EnviroAtlas dataset is a summary of key demographic groups for the EnviroAtlas community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

Chart and table of population level and growth rate for the Virginia Beach metro area from 1950 to 2025.

Graph and download economic data for Resident Population in Virginia Beach-Norfolk-Newport News, VA-NC (MSA) (NFKPOP) from 2000 to 2022 about Virginia Beach, VA, residents, NC, population, and USA.

Virginia Beach City, VA - Population Estimate, Total, Not Hispanic or Latino, American Indian and Alaska Native Alone (5-year estimate) in Virginia Beach city, VA was 496.00000 Persons in January of 2023, according to the United States Federal Reserve. Historically, Virginia Beach City, VA - Population Estimate, Total, Not Hispanic or Latino, American Indian and Alaska Native Alone (5-year estimate) in Virginia Beach city, VA reached a record high of 999.00000 in January of 2015 and a record low of 496.00000 in January of 2023. Trading Economics provides the current actual value, an historical data chart and related indicators for Virginia Beach City, VA - Population Estimate, Total, Not Hispanic or Latino, American Indian and Alaska Native Alone (5-year estimate) in Virginia Beach city, VA - last updated from the United States Federal Reserve on June of 2025.

About this dataset

Context

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

Key observations

The percent distribution of Virginia Beach city population by race (across all racial categories recognized by the U.S. Census Bureau): 61.62% are white, 18.90% are Black or African American, 0.23% are American Indian and Alaska Native, 7.25% are Asian, 0.17% are Native Hawaiian and other Pacific Islander, 2.40% are some other race and 9.42% are multiracial.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 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 Virginia Beach city
• Population: The population of the racial category (excluding ethnicity) in the Virginia Beach city is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Virginia Beach city 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 Virginia Beach city Population by Race & Ethnicity. You can refer the same here

In 2021, the population of the Virginia-Norfolk-Newport News metropolitan area in the United States was about 1.8 million people. This was somewhat similar to the previous year, when the population was also about 1.8 million people.

U.S. Census Bureau QuickFacts statistics for Virginia Beach city (County), Virginia. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The Address Ranges Feature Shapefile (ADDRFEAT.dbf) contains the geospatial edge geometry and attributes of all unsuppressed address ranges for a county or county equivalent area. The term "address range" refers to the collection of all possible structure numbers from the first structure number to the last structure number and all numbers of a specified parity in between along an edge side relative to the direction in which the edge is coded. Single-address address ranges have been suppressed to maintain the confidentiality of the addresses they describe. Multiple coincident address range feature edge records are represented in the shapefile if more than one left or right address ranges are associated to the edge. The ADDRFEAT shapefile contains a record for each address range to street name combination. Address range associated to more than one street name are also represented by multiple coincident address range feature edge records. Note that the ADDRFEAT shapefile includes all unsuppressed address ranges compared to the All Lines Shapefile (EDGES.shp) which only includes the most inclusive address range associated with each side of a street edge. The TIGER/Line shapefile contain potential address ranges, not individual addresses. The address ranges in the TIGER/Line Files are potential ranges that include the full range of possible structure numbers even though the actual structures may not exist.

About this dataset

Context

The dataset tabulates the Virginia Beach 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 Virginia Beach. The dataset can be utilized to understand the population distribution of Virginia Beach by age. For example, using this dataset, we can identify the largest age group in Virginia Beach.

Key observations

The largest age group in Virginia Beach, VA was for the group of age 30 to 34 years years with a population of 36,372 (7.96%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Virginia Beach, VA was the 80 to 84 years years with a population of 7,249 (1.59%). 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 Virginia Beach is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Virginia Beach 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 Virginia Beach Population by Age. You can refer the same here

Virginia Beach City, VA - Estimate, Median Age by Sex, Total Population (5-year estimate) in Virginia Beach city, VA was 37.40000 Years of Age in January of 2023, according to the United States Federal Reserve. Historically, Virginia Beach City, VA - Estimate, Median Age by Sex, Total Population (5-year estimate) in Virginia Beach city, VA reached a record high of 37.40000 in January of 2023 and a record low of 34.10000 in January of 2009. Trading Economics provides the current actual value, an historical data chart and related indicators for Virginia Beach City, VA - Estimate, Median Age by Sex, Total Population (5-year estimate) in Virginia Beach city, VA - last updated from the United States Federal Reserve on June of 2025.

Virginia Beach City, VA - Resident Population in Virginia Beach city, VA was 454.80800 Thous. of Persons in January of 2024, according to the United States Federal Reserve. Historically, Virginia Beach City, VA - Resident Population in Virginia Beach city, VA reached a record high of 459.67300 in January of 2020 and a record low of 172.10600 in January of 1970. Trading Economics provides the current actual value, an historical data chart and related indicators for Virginia Beach City, VA - Resident Population in Virginia Beach city, VA - last updated from the United States Federal Reserve on June of 2025.

A dataset listing Virginia cities by population for 2024.

About this dataset

Context

The dataset tabulates the data for the Virginia Beach, VA population pyramid, which represents the Virginia Beach population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Virginia Beach, VA, is 27.7.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Virginia Beach, VA, is 23.2.
• Total dependency ratio for Virginia Beach, VA is 50.9.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Virginia Beach, VA is 4.3.

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 for the Virginia Beach population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Virginia Beach for the selected age group is shown in the following column.
• Population (Female): The female population in the Virginia Beach for the selected age group is shown in the following column.
• Total Population: The total population of the Virginia Beach for the selected age group is shown in the following column.

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 Virginia Beach Population by Age. You can refer the same here

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Face refers to the areal (polygon) topological primitives that make up MTDB. A face is bounded by one or more edges; its boundary includes only the edges that separate it from other faces, not any interior edges contained within the area of the face. The Topological Faces Shapefile contains the attributes of each topological primitive face. Each face has a unique topological face identifier (TFID) value. Each face in the shapefile includes the key geographic area codes for all geographic areas for which the Census Bureau tabulates data for both the 2020 Census and the annual estimates and surveys. The geometries of each of these geographic areas can then be built by dissolving the face geometries on the appropriate key geographic area codes in the Topological Faces Shapefile.

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in Virginia Beach city. 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 Virginia Beach city. 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 Virginia Beach city, householders within the 45 to 64 years age group have the highest median household income at $112,866, followed by those in the 25 to 44 years age group with an income of $89,891. Meanwhile householders within the 65 years and over age group report the second lowest median household income of $73,398. Notably, householders within the under 25 years age group, had the lowest median household income at $51,541.

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 Virginia Beach city median household income by age. You can refer the same here

Graph and download economic data for 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Virginia Beach City, VA (MHICILBVA51810A052NCEN) from 1989 to 2023 about Virginia Beach City, VA; Virginia Beach; VA; households; median; income; and USA.