A growing body of research documents the importance of wealth and the racial wealth gap in perpetuating inequality across generations. We add to this literature by examining the impact of wealth on child income. Our two stage least squares regressions reveal that grandparental and parental wealth have an important effect on the younger generation’s stock (first stage results), which in turn affects the younger generation’s household income (second stage results). We further explore the relationship between income and wealth by decomposing the child’s income by race. We find that the intergroup disparity in income is mainly attributable to differences in family background. These findings indicate that wealth is an important source of income inequality.

Americans remain largely unaware of the magnitude of economic inequality in the nation and the degree to which it is patterned by race. In the present research we exposed a community sample of respondents to one of three interventions designed to promote a more realistic understanding of the Black-White wealth gap. The interventions were developed to conform to best practices in messaging about racial inequality drawn from the social sciences, yet differed in the extent to which they highlighted a single story versus data-based trends in Black-White wealth inequality or both. The interventions that highlighted data versus only a single story of racial inequality were most effective in both shifting how people talk about racial wealth inequality—eliciting less speech about personal achievement—and, critically, improving accuracy in perceptions of the Black-White wealth gap. These increases in accuracy persisted up to 18 months following the intervention, though accuracy did decline across time. The initial findings from this study highlight how data can be leveraged, along with current recommendations in the social sciences, to promote more accurate understandings of the magnitude of racial inequality in society, laying the necessary groundwork for messaging about equity-enhancing policy.

Data and code accompanying "The Racial Wealth Gap and the Role of Firm Ownership"This paper develops an overlapping generations model that isolates the impact of the U.S. racial wealth gap in 1962 on the long-run dynamics of wealth. The model predicts that one component of the initial gap, firm ownership, coupled with the intergenerational transfer of that ownership, results in a permanent wealth gap independent of other dimensions of inequality. This implies that even if all discrimination against black Americans had ceased upon the end of Jim Crow, the wealth gap would have persisted without a reparations policy addressing the fact that the initial firm ownership gap arose in the first place.

In 2023, the Gini index for Black households in the United States stood at ***, which was higher than the national index that year. The Census Bureau defines the Gini index as “a statistical measure of income inequality ranging from zero to one. A measure of one indicates perfect inequality, i.e., one household having all the income and the rest having none. A measure of zero indicates perfect equality, i.e., all households having an equal share of income.”

The Biden-Harris Administration released a plan to cancel federal student loans for 43 million borrowers on August 24, 2022. While the Supreme Court struck down the Biden-Harris' student debt relief plan on June 30, 2023, the White House is now planning to use the Higher Education Act of 1965, a federal law that governs the student loan program, to bring about relief for student borrowers. This article estimates the potential impact of broad-based student debt relief on racial and ethnic wealth gaps. On average, federal student debt potentially eligible for relief explains 3% of the White-Black wealth gaps, suggesting that broad-based student debt relief could significantly mitigate racial wealth inequities.Note: This is data and code accompanying the article.

About this dataset

Context

The dataset tabulates the Colorado median household income by race. The dataset can be utilized to understand the racial distribution of Colorado income.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• Colorado median household income breakdown by race betwen 2012 and 2022
• Median Household Income by Racial Categories in Colorado (2022)

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/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of Colorado median household income by race. You can refer the same here

In the U.S., median household income rose from 51,570 U.S. dollars in 1967 to 80,610 dollars in 2023. In terms of broad ethnic groups, Black Americans have consistently had the lowest median income in the given years, while Asian Americans have the highest; median income in Asian American households has typically been around double that of Black Americans.

Do Black households make as much as the "typical" household in their county? This map shows that this doesn't seem to be the case. This map compares the median household income of households with Black householders compared to the median household income of that county. If the Black households in a county make as much as a "typical" household in their county, the county is shown in turquoise. If Black households in a county make less than the median income of their county, it is shown in orange. The size of the symbol highlights where there are the highest counts of black population in the US.The data comes from County Health Rankings, a collaboration between the Robert Wood Johnson Foundation and the University of Wisconsin Population Health Institute, measure the health of nearly all counties in the nation and rank them within states. The layer used in the map comes from ArcGIS Living Atlas of the World, and the full documentation for the layer can be found here.

The study explores the role of "intergenerational wealth" - or inheritances and inter vivos transfers - in explaining racial disparities in wealth for the United States using data from the Federal Reserve Board's triennial Survey of Consumer Finances (SCF), supplemented by additional data including estimates for Defined Benefit pension values, lifetime earnings, and "reconciled inheritance" values that are designed to be used with the SCF. The core SCF data and the supplemental files are for the 1989 to 2019 cross-sections of the survey.

About this dataset

Context

The dataset presents the median household income across different racial categories in Au Gres. 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 Au Gres population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 88.54% of the total residents in Au Gres. Notably, the median household income for White households is $62,693. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $62,693.

https://i.neilsberg.com/ch/au-gres-mi-median-household-income-by-race.jpeg" alt="Au Gres 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 Au Gres.
• 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 Au Gres median household income by race. You can refer the same here

In 2023, about 26.9 percent of Asian private households in the U.S. had an annual income of 200,000 U.S. dollars and more. Comparatively, around 13.9 percent of Black households had an annual income under 15,000 U.S. dollars.

This paper evaluates racial inequalities in healthcare affordability between high-deductible and conventional insurance. Using the 2011-2017 National Health Interview Survey, the study finds that Blacks in high-deductible plans are not disproportionately higher-income nor more engaged in other savings vehicles, unlike their White counterparts, indicating they may be income constrained rather than desiring to partially self-insure. Furthermore, conditional on income, wealth explained more of the racial disparity in healthcare access among high-deductible enrollees than conventional enrollees, consistent with the hypothesis that benefit designs relying on households’ cash reserves would yield greater disparities due to the magnitude of racial inequalities in assets.

What is the income gap between blacks and whites within the same metropolitan region? What variable puts individuals in greatest disadvantage: skin color or place of residence? Should mitigating policies against inequality be global or local? To answer these questions we compare the wages of blacks and whites living in the center and in the periphery of six Brazilian metropolitan regions. Results from the PNAD (2008) show that the impact of skin color on wages is larger than that of the geographic location within the city. We also show that there is substantial spatial heterogeneity in income differentials by race.

PSID data extract for computing per capita white-to-Black wealth gaps and active saving rates of Black and white Americans during 1984-2019.

The City partnered with Burke, Inc. and The Voice of Your Costumer research and marketing firms to conduct a statistically significant survey of over 1,000 residents, including 500 Black/ African American residents to understand barriers around reaching financial freedom. The survey insights uncovered racial disparities around job mobility, housing (rental and homeownership), debt and consumer protection, banking and financial access, and financial planning and coaching.

In 2023, the gross median household income for Asian households in the United States stood at 112,800 U.S. dollars. Median household income in the United States, of all racial and ethnic groups, came out to 80,610 U.S. dollars in 2023. Asian and Caucasian (white not Hispanic) households had relatively high median incomes, while the median income of Hispanic, Black, American Indian, and Alaskan Native households all came in lower than the national median. A number of related statistics illustrate further the current state of racial inequality in the United States. Unemployment is highest among Black or African American individuals in the U.S. with 8.6 percent unemployed, according to the Bureau of Labor Statistics in 2021. Hispanic individuals (of any race) were most likely to go without health insurance as of 2021, with 22.8 percent uninsured.

Graph and download economic data for Income Gini Ratio for Households by Race of Householder, All Races (GINIALLRH) from 1967 to 2023 about gini, households, income, and USA.

About this dataset

Context

The dataset presents the median household income across different racial categories in Salt Lake City. 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 Salt Lake City population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 72.47% of the total residents in Salt Lake City. Notably, the median household income for White households is $79,512. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $79,512.

https://i.neilsberg.com/ch/salt-lake-city-ut-median-household-income-by-race.jpeg" alt="Salt Lake City 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) 2022 1-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 Salt Lake City.
• 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 Salt Lake City median household income by race. You can refer the same here

Replication data and code for Ellora Derenoncourt, Chi Hyun Kim, Moritz Kuhn, Moritz Schularick, Wealth of Two Nations: The U.S. Racial Wealth Gap, 1860–2020, The Quarterly Journal of Economics, 2023;, qjad044, https://doi.org/10.1093/qje/qjad044

About this dataset

Context

The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Pennington Gap. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2013 and 2023, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..

Key observations

• White: In Pennington Gap, the median household income for the households where the householder is White decreased by $8,229(25.31%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $32,515 in 2013 and $24,286 in 2023.
• Black or African American: In Pennington Gap, there was no reported median household income for Black or African American households in 2013. However, in 2023, the median household income increased to $2,499, marking a significant change.
• Refer to the research insights for more key observations on American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, Some other race and Two or more races (multiracial) households

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 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 Pennington Gap.
• 2010: 2010 median household income
• 2011: 2011 median household income
• 2012: 2012 median household income
• 2013: 2013 median household income
• 2014: 2014 median household income
• 2015: 2015 median household income
• 2016: 2016 median household income
• 2017: 2017 median household income
• 2018: 2018 median household income
• 2019: 2019 median household income
• 2020: 2020 median household income
• 2021: 2021 median household income
• 2022: 2022 median household income
• 2023: 2023 median household income
• Please note: All incomes have been adjusted for inflation and are presented in 2023-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 Pennington Gap median household income by race. You can refer the same here