Graph and download economic data for Real Median Household Income in Virginia (MEHOINUSVAA672N) from 1984 to 2023 about VA, households, median, income, real, and USA.

In 2023, the median household income in Virginia amounted to 96,490 U.S. dollars. This is an increase from the previous year, when the median household income in the state amounted to 85,170 U.S. dollars. The median household income for the United States may be accessed here.

In 2023, the average annual pay of employees in Virginia totaled to ****** U.S. dollars. This is an increase from the previous year, and an overall increase from 2001 levels, when this value stood at ****** U.S. dollars.

A dataset listing the richest zip codes in Virginia per the most current US Census data, including information on rank and average income.

In 2023, the average annual pay of employees in West Virginia amounted to around 55,587 U.S. dollars. This is both an increase from the previous year, and from 2001 levels, when this figure stood at 27,981 U.S. dollars.

Graph and download economic data for Median Adjusted Gross Income for Virginia (MEDAGIVA51A052NCEN) from 1989 to 2022 about AGI, adjusted, tax, gross, VA, median, income, and USA.

Estimate of Median Household Income for Virginia was 89864.00000 $ in January of 2023, according to the United States Federal Reserve. Historically, Estimate of Median Household Income for Virginia reached a record high of 89864.00000 in January of 2023 and a record low of 32555.00000 in January of 1989. Trading Economics provides the current actual value, an historical data chart and related indicators for Estimate of Median Household Income for Virginia - last updated from the United States Federal Reserve on July of 2025.

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

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Virginia. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Virginia, the median income for all workers aged 15 years and older, regardless of work hours, was $54,642 for males and $36,212 for females.

These income figures highlight a substantial gender-based income gap in Virginia. Women, regardless of work hours, earn 66 cents for each dollar earned by men. This significant gender pay gap, approximately 34%, underscores concerning gender-based income inequality in the state of Virginia.

- Full-time workers, aged 15 years and older: In Virginia, among full-time, year-round workers aged 15 years and older, males earned a median income of $75,833, while females earned $60,367, leading to a 20% gender pay gap among full-time workers. This illustrates that women earn 80 cents for each dollar earned by men in full-time roles. This analysis indicates a widening gender pay gap, showing a substantial income disparity where women, despite working full-time, face a more significant wage discrepancy compared to men in the same roles.

Surprisingly, the gender pay gap percentage was higher across all roles, including non-full-time employment, for women compared to men. This suggests that full-time employment offers a more equitable income scenario for women compared to other employment patterns in Virginia.

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.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

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 median household income by race. You can refer the same here

The data in this table breaks down median household income in each Virginia locality overall, as well as by race/ethnicity. (Median household income in the past 12 months in 2019 inflation-adjusted dollars.)

Note/explanation of value = -666666666 : A '-' entry in the estimate column indicates that 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.

Estimate of Median Household Income for Virginia Beach City, VA was 90275.00000 $ in January of 2023, according to the United States Federal Reserve. Historically, Estimate of Median Household Income for Virginia Beach City, VA reached a record high of 90275.00000 in January of 2023 and a record low of 35877.00000 in January of 1989. Trading Economics provides the current actual value, an historical data chart and related indicators for Estimate of Median Household Income for Virginia Beach City, VA - last updated from the United States Federal Reserve on July of 2025.

Median Household Income in Virginia was 96490.00000 Current $ in January of 2023, according to the United States Federal Reserve. Historically, Median Household Income in Virginia reached a record high of 96490.00000 in January of 2023 and a record low of 26530.00000 in January of 1984. Trading Economics provides the current actual value, an historical data chart and related indicators for Median Household Income in Virginia - last updated from the United States Federal Reserve on July of 2025.

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in Fairfax County. 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 Fairfax County. 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 Fairfax County, householders within the 45 to 64 years age group have the highest median household income at $179,176, followed by those in the 25 to 44 years age group with an income of $150,726. Meanwhile householders within the 65 years and over age group report the second lowest median household income of $118,287. Notably, householders within the under 25 years age group, had the lowest median household income at $75,199.

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 Fairfax County median household income by age. You can refer the same here

This dataset has been published by the Human Resources Department of the City of Virginia Beach and data.virginiabeach.gov. The mission of data.virginiabeach.gov is to provide timely and accurate City information to increase government transparency and access to useful and well organized data by the general public, non-governmental organizations, and City of Virginia Beach employees.

Distributed by

data.virginiabeach.gov

2405 Courthouse Dr.

Virginia Beach, VA 23456

Entity

Employee Salaries

Point of Contact

Human Resources

Sherri Arnold, Human Resources Business Partner III sharnold@vbgov.com 757-385-8804

Elda Soriano, HRIS Analyst esoriano@vbgov.com 757-385-8597

Attributes

Column: Department

Description: 3-letter department code

Column: Department Division

Description: This is the City Division that the position is assigned to.

Column: PCN

Description: Tracking number used to reference each unique position within the City.

Column: Position Title

Description: This is the title of the position (per the City’s pay plan).

Column: FLSA Status

Description: Represents the position’s status with regards to the Fair Labor Standards Act (FLSA)

“Exempt” - These positions do not qualify for overtime compensation – Generally, a position is classified as FLSA exempt if all three of the following criteria are met: 1) Paid at least $47,476 per year ($913 per week); 2) Paid on a salary basis - generally, salary basis is defined as having a guaranteed minimum amount of pay for any work week in which the employee performs any work; 3) Perform exempt job duties - Job duties are split between three classifications: executive, professional, and administrative. All three have specific job functions which, if present in the employee’s regular work, would exempt the individual from FLSA. Employees may also be exempt from overtime compensation if they are a “highly compensated employee” as defined by the FLSA or the position meets the criteria for other enumerated exemptions in the FLSA.

“Non-exempt” – These positions are eligible for overtime compensation - positions classified as FLSA non-exempt if they fail to meet any of exempt categories specified in the FLSA.

Column: Initial Hire Date

Description: This is the date that the full-time employee first began employment with the City.

Column: Date in Title

Description: This is the date that the full-time employee first began employment in their current position.

Column: Salary

Description: This is the annual salary of the full-time employee or the hourly rate of the part-time employee.

Frequency of dataset update

Monthly

In 2023, the median household income in West Virginia amounted to 60,410 U.S. dollars. This is an increase from the previous year, when the median household income in the state amounted to 52,460 U.S. dollars. The median household income for the United States may be accessed here.

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Franklin city. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2021

Based on our analysis ACS 2017-2021 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Franklin city, the median income for all workers aged 15 years and older, regardless of work hours, was $42,736 for males and $25,221 for females.

These income figures highlight a substantial gender-based income gap in Franklin city. Women, regardless of work hours, earn 59 cents for each dollar earned by men. This significant gender pay gap, approximately 41%, underscores concerning gender-based income inequality in the county of Franklin city.

- Full-time workers, aged 15 years and older: In Franklin city, among full-time, year-round workers aged 15 years and older, males earned a median income of $57,272, while females earned $41,703, leading to a 27% gender pay gap among full-time workers. This illustrates that women earn 73 cents for each dollar earned by men in full-time roles. This analysis indicates a widening gender pay gap, showing a substantial income disparity where women, despite working full-time, face a more significant wage discrepancy compared to men in the same roles.

Surprisingly, the gender pay gap percentage was higher across all roles, including non-full-time employment, for women compared to men. This suggests that full-time employment offers a more equitable income scenario for women compared to other employment patterns in Franklin city.

https://i.neilsberg.com/ch/franklin-city-va-income-by-gender.jpeg" alt="Franklin city, VA gender based income disparity">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2022
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

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 city median household income by gender. You can refer the same here

Explore the progression of average salaries for graduates in Virginia Polytechnic Institute And State University from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Virginia Polytechnic Institute And State University relative to other fields. This data is essential for students assessing the return on investment of their education in Virginia Polytechnic Institute And State University, providing a clear picture of financial prospects post-graduation.

Household data are collected as of March.

As stated in the Census's "Source and Accuracy of Estimates for Income, Poverty, and Health Insurance Coverage in the United States: 2011" (http://www.census.gov/hhes/www/p60_243sa.pdf):

Estimation of Median Incomes. The Census Bureau has changed the methodology for computing median income over time. The Census Bureau has computed medians using either Pareto interpolation or linear interpolation. Currently, we are using linear interpolation to estimate all medians. Pareto interpolation assumes a decreasing density of population within an income interval, whereas linear interpolation assumes a constant density of population within an income interval. The Census Bureau calculated estimates of median income and associated standard errors for 1979 through 1987 using Pareto interpolation if the estimate was larger than $20,000 for people or $40,000 for families and households. This is because the width of the income interval containing the estimate is greater than $2,500.

We calculated estimates of median income and associated standard errors for 1976, 1977, and 1978 using Pareto interpolation if the estimate was larger than $12,000 for people or $18,000 for families and households. This is because the width of the income interval containing the estimate is greater than $1,000. All other estimates of median income and associated standard errors for 1976 through 2011 (2012 ASEC) and almost all of the estimates of median income and associated standard errors for 1975 and earlier were calculated using linear interpolation.

Thus, use caution when comparing median incomes above $12,000 for people or $18,000 for families and households for different years. Median incomes below those levels are more comparable from year to year since they have always been calculated using linear interpolation. For an indication of the comparability of medians calculated using Pareto interpolation with medians calculated using linear interpolation, see Series P-60, Number 114, Money Income in 1976 of Families and Persons in the United States (www2.census.gov/prod2/popscan/p60-114.pdf).

Graph and download economic data for Estimate of Median Household Income for Montgomery County, VA (MHIVA51121A052NCEN) from 1993 to 2023 about Montgomery County, VA; Blacksburg; VA; households; median; income; and USA.

In 2023, the per capita personal income in Virginia was 73,841 U.S. dollars. Per capita personal income is calculated as the personal income of the residents of a given area divided by the resident population of the area.