About this dataset

Context

The dataset presents the median household income across different racial categories in Virginia. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

Key observations

Based on our analysis of the distribution of Virginia population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 93.06% of the total residents in Virginia. Notably, the median household income for White households is $47,232. Interestingly, despite the White population being the most populous, it is worth noting that American Indian and Alaska Native households actually reports the highest median household income, with a median income of $52,251. This reveals that, while Whites may be the most numerous in Virginia, American Indian and Alaska Native households experience greater economic prosperity in terms of median household income.

https://i.neilsberg.com/ch/virginia-mn-median-household-income-by-race.jpeg" alt="Virginia median household income diversity across racial categories">

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 of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Virginia.
• Median household income: Median household income, adjusting for inflation, presented in 2022-inflation-adjusted dollars

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

This dataset tracks annual diversity score from 1993 to 2023 for Lee High School vs. Virginia and Lee County Public Schools

This dataset tracks annual diversity score from 1993 to 2023 for Virginia High School vs. Virginia and Bristol City Public Schools

This dataset tracks annual diversity score from 1993 to 2023 for Virginia Jr/ Sr High School vs. Illinois and Virginia Community Unit School District 64

This dataset tracks annual diversity score from 1993 to 2023 for Round Hill Elementary School vs. Virginia and Loudoun County Public Schools

GIS Web Map Application of the 10 City Council Voter Districts

This dataset tracks annual diversity score from 1993 to 2023 for Virginia Beach City Public Schools vs. Virginia

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Virginia. The dataset can be utilized to gain insights into gender-based income distribution within the Virginia population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Virginia, among individuals aged 15 years and older with income, there were 3.15 million men and 3.12 million women in the workforce. Among them, 1.86 million men were engaged in full-time, year-round employment, while 1.43 million women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 6.59% fell within the income range of under $24,999, while 9.63% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 36.70% of men in full-time roles earned incomes exceeding $100,000, while 24.05% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

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

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

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.

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

Diversity Data Profile for Norfolk-Virginia Beach-Newport News, VA-NC MSA
Metropolitan Quality of Life Data
ref:
http://web.archive.org/web/20150125012537/http://diversitydata-archive.org/Data/Profiles/Show.aspx?loc=909

Financial overview and grant giving statistics of Virginia Diversity Foundation

This dataset tracks annual diversity score from 1996 to 2023 for Virginia Shuman Young Elementary School vs. Florida and Broward School District

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within New Virginia. The dataset can be utilized to gain insights into gender-based income distribution within the New Virginia population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within New Virginia, among individuals aged 15 years and older with income, there were 173 men and 149 women in the workforce. Among them, 103 men were engaged in full-time, year-round employment, while 61 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, none fell within the income range of under $24,999, while 18.03% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 23.30% of men in full-time roles earned incomes exceeding $100,000, while 8.20% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

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

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

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.

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

This dataset tracks annual diversity score from 1990 to 2020 for Virginia Secondary vs. Minnesota and Virginia Public School District

This dataset tracks annual diversity score from 1993 to 2023 for Meridian High School vs. Virginia and Falls Church City Public Schools

This dataset tracks annual diversity score from 2009 to 2023 for Key Center vs. Virginia and Fairfax County Public Schools

This dataset tracks annual diversity score from 2007 to 2023 for Three Oaks Elementary School vs. Virginia and Virginia Beach City Public Schools

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Virginia Gardens. The dataset can be utilized to gain insights into gender-based income distribution within the Virginia Gardens population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Virginia Gardens, among individuals aged 15 years and older with income, there were 947 men and 878 women in the workforce. Among them, 559 men were engaged in full-time, year-round employment, while 387 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 16.64% fell within the income range of under $24,999, while 32.56% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 17.17% of men in full-time roles earned incomes exceeding $100,000, while 2.58% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

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

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

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.

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

This dataset tracks annual diversity score from 1996 to 2023 for Virginia Heights Elementary School vs. Virginia and Roanoke City Public Schools

This dataset tracks annual diversity score from 2019 to 2023 for Virginia School For The Deaf And Blind High School vs. Virginia and Virginia School For The Deaf And Blind-Staunton School District

This dataset tracks annual diversity score from 1993 to 2023 for Poquoson City Public Schools vs. Virginia