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Graph and download economic data for Net Worth Held by the Top 1% (99th to 100th Wealth Percentiles) (WFRBLT01026) from Q3 1989 to Q1 2025 about net worth, wealth, percentile, Net, and USA.
In the first quarter of 2025, 51.4 percent of the total wealth in the United States was owned by members of the baby boomer generation. In comparison, millennials owned around 10.3 percent of total wealth in the U.S. In terms of population distribution, there was almost an equal share of millennials and baby boomers in the United States in 2024.
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Graph and download economic data for Household Count in the 50th to 90th Wealth Percentiles (WFRBLN40301) from Q3 1989 to Q1 2025 about wealth, percentile, households, and USA.
In 2023, according to the Gini coefficient, household income distribution in the United States was 0.47. This figure was at 0.43 in 1990, which indicates an increase in income inequality in the U.S. over the past 30 years. What is the Gini coefficient? The Gini coefficient, or Gini index, is a statistical measure of economic inequality and wealth distribution among a population. A value of zero represents perfect economic equality, and a value of one represents perfect economic inequality. The Gini coefficient helps to visualize income inequality in a more digestible way. For example, according to the Gini coefficient, the District of Columbia and the state of New York have the greatest amount of income inequality in the U.S. with a score of 0.51, and Utah has the greatest income equality with a score of 0.43. The Gini coefficient around the world The Gini coefficient is also an effective measure to help picture income inequality around the world. For example, in 2018 income inequality was highest in South Africa, while income inequality was lowest in Slovenia.
Uruguay and Chile were the Latin American countries with the highest wealth per adult. In 2021, an Uruguayan adult had, on average, ****** U.S. dollars worth of financial and non-financial assets, whereas Chileans' mean wealth stood at ****** dollars per adult. Argentina was the country with the lowest average wealth in the region, at only ****** dollars per adult.
Based on the degree of inequality in income distribution measured by the Gini coefficient, Colombia was the most unequal country in Latin America as of 2022. Colombia's Gini coefficient amounted to 54.8. The Dominican Republic recorded the lowest Gini coefficient at 37, even below Uruguay and Chile, which are some of the countries with the highest human development indexes in Latin America. The Gini coefficient explained The Gini coefficient measures the deviation of the distribution of income among individuals or households in a given country from a perfectly equal distribution. A value of 0 represents absolute equality, whereas 100 would be the highest possible degree of inequality. This measurement reflects the degree of wealth inequality at a certain moment in time, though it may fail to capture how average levels of income improve or worsen over time. What affects the Gini coefficient in Latin America? Latin America, as other developing regions in the world, generally records high rates of inequality, with a Gini coefficient ranging between 37 and 55 points according to the latest available data from the reporting period 2010-2023. According to the Human Development Report, wealth redistribution by means of tax transfers improves Latin America's Gini coefficient to a lesser degree than it does in advanced economies. Wider access to education and health services, on the other hand, have been proven to have a greater direct effect in improving Gini coefficient measurements in the region.
Inequality in family wealth is high, yet we know little about how much and how wealth inequality is maintained across generations. We argue that a long-term perspective reflective of wealth’s cumulative nature is crucial to understand the extent and channels of wealth reproduction across generations. Using data from the Panel Study of Income Dynamics that span nearly half a century, we show that a one decile increase in parental wealth position is associated with an increase of about 4 percentiles in offspring wealth position in adulthood. We show that grandparental wealth is a unique predictor of grandchildren’s wealth, above and beyond the role of parental wealth, suggesting that a focus on only parent-child dyads understates the importance of family wealth lineages. Second, considering five channels of wealth transmission — gifts and bequests, education, marriage, homeownership, and business ownership — we find that most of the advantages arising from family wealth begin much earlier in the life-course than the common focus on bequests implies, even when we consider the wealth of grandparents. We also document the stark disadvantage of African-American households in terms of not only their wealth attainment but also their intergenerational downward wealth mobility compared to whites.
As of November 2022, a combined value of **** trillion U.S. dollars was held by billionaires living in the United States. While U.S. billionaire wealth has seen a drop over the last year, it is still more than *** times the amount it was at the start of the COVID-19 pandemic.
The statistic shows the results of a survey into wealthy individuals in the United States. This particular statistic deals with the source of the majority of wealth among wealthy Americans in the United States in 2014. In 2014, 22 percent of the wealthy individuals interviewed stated that they had inherited the majority of their wealth, whereas 78 percent stated they earned the majority either through income from work, investment, real estate or through the sale of their business.
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License information was derived automatically
Context
The dataset presents the mean household income for each of the five quintiles in Log Lane Village, CO, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Income Levels:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Log Lane Village median household income. You can refer the same here
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Graph and download economic data for All Sectors; U.S. Wealth, Change in Levels (BOGZ1FC892090005A) from 1946 to 2024 about wealth, sector, and USA.
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Graph and download economic data for Households and Nonprofit Organizations; Net Worth as a Percentage of Disposable Personal Income, Level (HNONWPDPI) from Q4 1946 to Q1 2025 about disposable, net worth, nonprofit organizations, personal income, percent, Net, households, personal, income, and USA.
The total financial assets of households and nonprofit organizations in the United States grew steadily since 2000, except for a drop in 2018. The value of household financial assets increased from around 34.46 trillion U.S. dollars in 2000, up to around 118.34 trillion U.S. dollars in 2023.
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Graph and download economic data for Total Assets Held by the Top 0.1% (99.9th to 100th Wealth Percentiles) (WFRBLTP1227) from Q3 1989 to Q1 2025 about wealth, percentile, assets, and USA.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the mean household income for each of the five quintiles in Minnesota City, MN, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Income Levels:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Minnesota City median household income. You can refer the same here
This statistic shows the median household income in the United States from 1990 to 2023 in 2023 U.S. dollars. The median household income was 80,610 U.S. dollars in 2023, an increase from the previous year. Household incomeThe median household income depicts the income of households, including the income of the householder and all other individuals aged 15 years or over living in the household. Income includes wages and salaries, unemployment insurance, disability payments, child support payments received, regular rental receipts, as well as any personal business, investment, or other kinds of income received routinely. The median household income in the United States varies from state to state. In 2020, the median household income was 86,725 U.S. dollars in Massachusetts, while the median household income in Mississippi was approximately 44,966 U.S. dollars at that time. Household income is also used to determine the poverty line in the United States. In 2021, about 11.6 percent of the U.S. population was living in poverty. The child poverty rate, which represents people under the age of 18 living in poverty, has been growing steadily over the first decade since the turn of the century, from 16.2 percent of the children living below the poverty line in year 2000 to 22 percent in 2010. In 2021, it had lowered to 15.3 percent. The state with the widest gap between the rich and the poor was New York, with a Gini coefficient score of 0.51 in 2019. The Gini coefficient is calculated by looking at average income rates. A score of zero would reflect perfect income equality and a score of one indicates a society where one person would have all the money and all other people have nothing.
In 2022, some 20.7 percent of all uninsured children were from families with a household income below the Federal poverty level (FPL), while the uninsured rate within the same group was 6.6 percent, the second highest of all poverty levels. However, most of these children were actually eligible for Medicaid or CHIP since the median income eligibility for children was at 255% FPL. This statistic shows the percentage and rate of children uninsured in U.S. as of 2022, sorted by family poverty in terms of FPL.
PSID data extract for computing per capita white-to-Black wealth gaps and active saving rates of Black and white Americans during 1984-2019.
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Graph and download economic data for Net Worth Held by the 90th to 99th Wealth Percentiles (WFRBLN09053) from Q3 1989 to Q1 2025 about net worth, wealth, percentile, Net, and USA.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the mean household income for each of the five quintiles in American Falls, ID, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Income Levels:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for American Falls median household income. You can refer the same here
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Graph and download economic data for Net Worth Held by the Top 1% (99th to 100th Wealth Percentiles) (WFRBLT01026) from Q3 1989 to Q1 2025 about net worth, wealth, percentile, Net, and USA.