100+ datasets found
  1. U.S. the richest people in America 2025

    • statista.com
    • ai-chatbox.pro
    Updated May 27, 2025
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    Statista (2025). U.S. the richest people in America 2025 [Dataset]. https://www.statista.com/statistics/201426/the-richest-people-in-america/
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    Dataset updated
    May 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United States
    Description

    As of April 2025, Elon Musk was estimated as the wealthiest person in the United States with a net worth of around 342 billion dollars. Richest people in the United States - additional information Every year since 1982, the American business magazine Forbes has been compiling lists of the 400 richest people in the United States, known as the “Forbes 400.” In addition to that, since 1987, the publication has also been compiling a ranking of the 500 richest people in the world (excluding royalty and dictators), as well as more specialized tops, such as “World's Most Powerful Women,” “America's Richest Families,” “Most Valuable Brands” or “30 Under 30,” which focuses on young entrepreneurs from various fields which have gained millions in the past year by the use of social media, technical innovations and generally new and fresh approaches to business.

  2. F

    Net Worth Held by the Top 1% (99th to 100th Wealth Percentiles)

    • fred.stlouisfed.org
    json
    Updated Mar 21, 2025
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    (2025). Net Worth Held by the Top 1% (99th to 100th Wealth Percentiles) [Dataset]. https://fred.stlouisfed.org/series/WFRBLT01026
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 21, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Net Worth Held by the Top 1% (99th to 100th Wealth Percentiles) (WFRBLT01026) from Q3 1989 to Q4 2024 about net worth, wealth, percentile, Net, and USA.

  3. h

    100-richest-people-in-world

    • huggingface.co
    Updated Aug 2, 2023
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    Nate Raw (2023). 100-richest-people-in-world [Dataset]. https://huggingface.co/datasets/nateraw/100-richest-people-in-world
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 2, 2023
    Authors
    Nate Raw
    License

    https://choosealicense.com/licenses/cc0-1.0/https://choosealicense.com/licenses/cc0-1.0/

    Description

    Dataset Card for 100 Richest People In World

      Dataset Summary
    

    This dataset contains the list of Top 100 Richest People in the World Column Information:-

    Name - Person Name NetWorth - His/Her Networth Age - Person Age Country - The country person belongs to Source - Information Source Industry - Expertise Domain

      Join our Community
    
    
    
    
    
    
    
    
    
      Supported Tasks and Leaderboards
    

    [More Information Needed]

      Languages
    

    [More Information Needed]… See the full description on the dataset page: https://huggingface.co/datasets/nateraw/100-richest-people-in-world.

  4. U.S. Combined value of the five richest billionaires 2024

    • statista.com
    Updated Aug 26, 2024
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    Statista (2024). U.S. Combined value of the five richest billionaires 2024 [Dataset]. https://www.statista.com/statistics/1290045/us-value-richest-five-billionaires/
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    Dataset updated
    Aug 26, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 2024
    Area covered
    United States
    Description

    As of August 2024, a combined value of 856 billion U.S. dollars was held by the top five wealthiest billionaires in the United States. According to the source, the five wealthiest billionaires were Elon Musk, Jeff Bezos, Mark Zuckerberg, Larry Ellison, and Warren Buffett.

  5. Top 20 billionaire countries 2025

    • statista.com
    Updated May 30, 2025
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    Statista (2025). Top 20 billionaire countries 2025 [Dataset]. https://www.statista.com/statistics/299513/billionaires-top-countries/
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    Dataset updated
    May 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2025
    Area covered
    World
    Description

    According to the Hurun Global Rich List 2025, the United States housed the highest number of billionaires worldwide in 2025. In detail, there were 870 billionaires living in the United States as of January that year. By comparison, 823 billionaires resided in China. India, the United Kingdom, and Germany were also the homes of a significant number of billionaires that year. United States has regained its first place As the founder and exporter of consumer capitalism, it is no surprise that the United States is home to a large number of billionaires. Although China had briefly overtaken the U.S. in recent years, the United States has reclaimed its position as the country with the most billionaires in the world. Moreover, North America leads the way in terms of the highest number of ultra high net worth individuals – those with a net worth of more than fifty million U.S. dollars. The prominence of Europe and North America is a reflection of the higher degree of economic development in those states. However, this may also change as China and other emerging economies continue developing. Female billionaires Moreover, the small proportion of female billionaires does little to counter critics claiming the global economy is dominated by an elite comprised mainly of men. On the list of the 20 richest people in the world, only one was a woman. Moreover, recent political discourse has put a great amount of attention on the wealth held by the super-rich with the wealth distribution of the global population being heavily unequal.

  6. F

    How Many Millionaires Are in the US?

    • finmasters.com
    Updated Jan 22, 2024
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    VertiStudio (2024). How Many Millionaires Are in the US? [Dataset]. https://finmasters.com/millionaire-statistics/
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    Dataset updated
    Jan 22, 2024
    Dataset authored and provided by
    VertiStudio
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2024
    Area covered
    United States
    Description

    Data from the Credit Suisse Global Wealth Report shows that in 2023 there were just under 30 million millionaires in the US.

  7. ABC News/Washington Post Poll #2, September 1990

    • icpsr.umich.edu
    ascii, sas, spss +1
    Updated Jul 30, 2007
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    Inter-university Consortium for Political and Social Research [distributor] (2007). ABC News/Washington Post Poll #2, September 1990 [Dataset]. http://doi.org/10.3886/ICPSR09558.v1
    Explore at:
    sas, ascii, stata, spssAvailable download formats
    Dataset updated
    Jul 30, 2007
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/9558/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/9558/terms

    Time period covered
    Sep 20, 1990 - Sep 24, 1990
    Area covered
    United States
    Description

    This data collection focuses on the federal budget deficit and on issues dealing with the rich and the poor in America. Respondents were asked if they approved of the way George Bush, Democrats in Congress, and Republicans in Congress were handling the the federal budget deficit, and who was more to blame for the larger deficit. Additionally, respondents were asked how much money it takes to be rich in the United States, whether they would want to be rich, how likely it was that they would ever be rich or poor, whether the percentage of Americans who are rich was increasing, and whether they respected and admired rich people. Other questions asked respondents if they characterized rich people as more likely to be honest, snobbish, intelligent, and a variety of other traits, whether respondents would be more or less likely to vote for a candidate who was a millionaire/self-made millionaire, and which political party better represented the interests of poor, rich, and middle class people. Background information on respondents includes political alignment, 1988 presidential vote choice, registered voter status, education, age, religion, social class, marital status, number of people in the household, labor union membership, employment status, race, income, sex, and state/region of residence.

  8. Forbes Top 200 Richest American

    • kaggle.com
    Updated Feb 6, 2023
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    Ayessa (2023). Forbes Top 200 Richest American [Dataset]. https://www.kaggle.com/datasets/ayessa/forbes-top-200-richest-american/suggestions
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 6, 2023
    Dataset provided by
    Kaggle
    Authors
    Ayessa
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    United States
    Description

    The Forbes published "The Definitive Ranking of the Wealthiest Americans In 2022". And here is the top 200 list including additional information on each of the billionaires.

    About Dataset

    This dataset contains the top 200 richest American based on their net worth.

    Columns Attributes

    | Column | Meaning | | -- | -- | | rank | their rank | | name | their name | | net worth | their net worth | | age | their age | | title | their title (e.g. CEO, Chairman etc.) | | source of wealth | the source of how they've managed to get this much money | | self made score | shows how far each of these billionaires has climbed to make it to the top. According to Forbes, The score ranges from 1 to 10, with 1 through 5 indicating someone who inherited some or all of his or her fortune; while 6 through 10 are for those who built their company or established a fortune on his or her own. | | philanthropy score | this score shows how much these billionaires donates on nonprofits foundations | | residence | their residence | | marital status | their marital status | | children | their children | | education | their education |

    Methodology

    This dataset was acquired using a web scraping tool called Beautiful soup and scraped Forbes website

    Image by pch.vector on Freepik

  9. Latin America: richest people 2024, by wealth

    • statista.com
    Updated Aug 22, 2024
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    Statista (2024). Latin America: richest people 2024, by wealth [Dataset]. https://www.statista.com/statistics/957865/richest-latin-americans-by-wealth/
    Explore at:
    Dataset updated
    Aug 22, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Latin America, LAC
    Description

    In 2024, two of the three richest people in Latin America were Mexicans. The leader of the rank was the Mexican business magnate Carlos Slim, the 14th richest person in the world. Slim had a fortune of 102 billion U.S. dollars, derived from his multiple businesses and investments. At third place was a fellow Mexican businessman, German Larrea, with a fortune of nearly 27.3 billion dollars.

    Billionaires' wealth distribution Within each country's economy, there exists a relatively small segment of wealthier individuals who contribute significantly to the Gross Domestic Product (GDP) of their respective countries. In Latin America, Chile stands out for its high concentration of wealth among billionaires, accounting for approximately 16 percent of the GDP. Mexico also exhibits a notable wealth concentration, with billionaires contributing around 12 percent of the country's GDP. Regarding the financial magnitude of these billionaires in Latin America, Mexico leads with an average individual wealth of approximately nine billion dollars, compared to an average wealth per adult of 43,140.
    Income inequality In most countries within the region, the GINI Index, which measures income inequality among the population, falls within the range of 40 to 50. Notably, Colombia has the highest level of income inequality in Latin America, at 54.2. As a result of this income inequality, only around 2.8 percent of the population in the region is classified as having a high economic status, while the largest portion of the population consists of non-poor individuals with low incomes, and approximately 281 million people in the region live below the poverty line.

  10. N

    Median Household Income by Racial Categories in Rich Square, NC (2021, in...

    • neilsberg.com
    csv, json
    Updated Jan 3, 2024
    + more versions
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    Neilsberg Research (2024). Median Household Income by Racial Categories in Rich Square, NC (2021, in 2022 inflation-adjusted dollars) [Dataset]. https://www.neilsberg.com/research/datasets/3649f803-8904-11ee-9302-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Jan 3, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Rich Square, North Carolina
    Variables measured
    Median Household Income for Asian Population, Median Household Income for Black Population, Median Household Income for White Population, Median Household Income for Some other race Population, Median Household Income for Two or more races Population, Median Household Income for American Indian and Alaska Native Population, Median Household Income for Native Hawaiian and Other Pacific Islander Population
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. To portray the median household income within each racial category idetified by the US Census Bureau, we conducted an initial analysis and categorization of the data. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). It is important to note that the median household income estimates exclusively represent the identified racial categories and do not incorporate any ethnicity classifications. Households are categorized, and median incomes are reported based on the self-identified race of the head of the household. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents the median household income across different racial categories in Rich Square. 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 Rich Square population by race & ethnicity, the population is predominantly Black or African American. This particular racial category constitutes the majority, accounting for 63.98% of the total residents in Rich Square. Notably, the median household income for Black or African American households is $34,031. Interestingly, Black or African American is both the largest group and the one with the highest median household income, which stands at $34,031.

    https://i.neilsberg.com/ch/rich-square-nc-median-household-income-by-race.jpeg" alt="Rich Square 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 Rich Square.
    • 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 Rich Square median household income by race. You can refer the same here

  11. F

    Population Estimate, Total (5-year estimate) in Rich County, UT

    • fred.stlouisfed.org
    json
    Updated Dec 12, 2024
    + more versions
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    (2024). Population Estimate, Total (5-year estimate) in Rich County, UT [Dataset]. https://fred.stlouisfed.org/series/B03002001E049033
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Dec 12, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Rich County, Utah
    Description

    Graph and download economic data for Population Estimate, Total (5-year estimate) in Rich County, UT (B03002001E049033) from 2009 to 2023 about Rich County, UT; UT; estimate; persons; 5-year; population; and USA.

  12. F

    Net Worth Held by the Bottom 50% (1st to 50th Wealth Percentiles)

    • fred.stlouisfed.org
    json
    Updated Mar 21, 2025
    + more versions
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    (2025). Net Worth Held by the Bottom 50% (1st to 50th Wealth Percentiles) [Dataset]. https://fred.stlouisfed.org/series/WFRBLB50107
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 21, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Net Worth Held by the Bottom 50% (1st to 50th Wealth Percentiles) (WFRBLB50107) from Q3 1989 to Q4 2024 about net worth, wealth, percentile, Net, and USA.

  13. f

    Which Country Has the Most Millionaires?

    • finmasters.com
    Updated Jan 22, 2024
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    VertiStudio (2024). Which Country Has the Most Millionaires? [Dataset]. https://finmasters.com/millionaire-statistics/
    Explore at:
    Dataset updated
    Jan 22, 2024
    Dataset authored and provided by
    VertiStudio
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Research done by the Credit Suisse Research Institute states that the country with the highest number of millionaires is the U.S., with nearly 30 million millionaires and 17 million people with wealth up to $5 million! To put numbers in perspective, China, Japan, Germany, the U.K., and France, added together, have a total of 17 million millionaires!

  14. f

    Which State Has the Most Millionaires?

    • finmasters.com
    Updated Jan 22, 2024
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    VertiStudio (2024). Which State Has the Most Millionaires? [Dataset]. https://finmasters.com/millionaire-statistics/
    Explore at:
    Dataset updated
    Jan 22, 2024
    Dataset authored and provided by
    VertiStudio
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    New Jersey has the highest rate of millionaires, with 9.76% of households showing a net worth of $1 million or above. That means that 246,058 New Jersey households are millionaires.

  15. N

    Rich County, UT annual median income by work experience and sex dataset:...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
    + more versions
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    Neilsberg Research (2025). Rich County, UT annual median income by work experience and sex dataset: Aged 15+, 2010-2023 (in 2023 inflation-adjusted dollars) // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/rich-county-ut-income-by-gender/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 27, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Rich County, Utah
    Variables measured
    Income for Male Population, Income for Female Population, Income for Male Population working full time, Income for Male Population working part time, Income for Female Population working full time, Income for Female Population working part time
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates. The dataset covers the years 2010 to 2023, representing 14 years of data. To analyze income differences between genders (male and female), we conducted an initial data analysis and categorization. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series (R-CPI-U-RS) based on current methodologies. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    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 Rich County. 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 Rich County, the median income for all workers aged 15 years and older, regardless of work hours, was $45,000 for males and $22,645 for females.

    These income figures highlight a substantial gender-based income gap in Rich County. Women, regardless of work hours, earn 50 cents for each dollar earned by men. This significant gender pay gap, approximately 50%, underscores concerning gender-based income inequality in the county of Rich County.

    - Full-time workers, aged 15 years and older: In Rich County, among full-time, year-round workers aged 15 years and older, males earned a median income of $72,653, while females earned $35,278, leading to a 51% gender pay gap among full-time workers. This illustrates that women earn 49 cents for each dollar earned by men in full-time roles. This level of income gap emphasizes the urgency to address and rectify this ongoing disparity, where women, despite working full-time, face a more significant wage discrepancy compared to men in the same employment roles.

    Remarkably, across all roles, including non-full-time employment, women displayed a similar gender pay gap percentage. This indicates a consistent gender pay gap scenario across various employment types in Rich County, showcasing a consistent income pattern irrespective of employment status.

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

  16. N

    Rich Square, NC annual median income by work experience and sex dataset:...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
    + more versions
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    Neilsberg Research (2025). Rich Square, NC annual median income by work experience and sex dataset: Aged 15+, 2010-2023 (in 2023 inflation-adjusted dollars) // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/rich-square-nc-income-by-gender/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 27, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Rich Square, North Carolina
    Variables measured
    Income for Male Population, Income for Female Population, Income for Male Population working full time, Income for Male Population working part time, Income for Female Population working full time, Income for Female Population working part time
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates. The dataset covers the years 2010 to 2023, representing 14 years of data. To analyze income differences between genders (male and female), we conducted an initial data analysis and categorization. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series (R-CPI-U-RS) based on current methodologies. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    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 Rich Square. 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 Rich Square, the median income for all workers aged 15 years and older, regardless of work hours, was $24,265 for males and $17,431 for females.

    These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 28% between the median incomes of males and females in Rich Square. With women, regardless of work hours, earning 72 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thetown of Rich Square.

    - Full-time workers, aged 15 years and older: In Rich Square, among full-time, year-round workers aged 15 years and older, males earned a median income of $45,893, while females earned $36,089, leading to a 21% gender pay gap among full-time workers. This illustrates that women earn 79 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.

    Remarkably, across all roles, including non-full-time employment, women displayed a similar gender pay gap percentage. This indicates a consistent gender pay gap scenario across various employment types in Rich Square, showcasing a consistent income pattern irrespective of employment status.

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

  17. N

    Median Household Income Variation by Family Size in Rich Creek, VA:...

    • neilsberg.com
    csv, json
    Updated Jan 11, 2024
    + more versions
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    Neilsberg Research (2024). Median Household Income Variation by Family Size in Rich Creek, VA: Comparative analysis across 7 household sizes [Dataset]. https://www.neilsberg.com/research/datasets/cdb9ac8e-b041-11ee-aaca-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Jan 11, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Virginia, Rich Creek
    Variables measured
    Household size, Median Household Income
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. It delineates income distributions across 7 household sizes (mentioned above) following an initial analysis and categorization. Using this dataset, you can find out how household income varies with the size of the family unit. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents median household incomes for various household sizes in Rich Creek, VA, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

    Key observations

    • Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, only 2, and 4-person households were found in Rich Creek. Across the different household sizes in Rich Creek the mean income is $97,102, and the standard deviation is $56,305. The coefficient of variation (CV) is 57.99%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
    • In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 2-person households, with an income of $57,288. It then further increased to $136,916 for 4-person households, the largest household size for which the bureau reported a median household income.

    https://i.neilsberg.com/ch/rich-creek-va-median-household-income-by-household-size.jpeg" alt="Rich Creek, VA median household income, by household size (in 2022 inflation-adjusted dollars)">

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

    Household Sizes:

    • 1-person households
    • 2-person households
    • 3-person households
    • 4-person households
    • 5-person households
    • 6-person households
    • 7-or-more-person households

    Variables / Data Columns

    • Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
    • Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

    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 Rich Creek median household income. You can refer the same here

  18. Number of ultra high net worth individuals worldwide 2023, by region

    • statista.com
    Updated Mar 19, 2025
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    Statista (2025). Number of ultra high net worth individuals worldwide 2023, by region [Dataset]. https://www.statista.com/statistics/204072/distribution-of-ultra-high-net-worth-individuals-by-world-region/
    Explore at:
    Dataset updated
    Mar 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    World
    Description

    In 2023, by far the highest number of individuals with net assets of at least 30 million U.S. dollars worldwide were residing in North America, reaching over 250,000 people. Asia recorded the second highest number of UHNWIs in the world with over 165,000 individuals.A small share owns vast sums of wealthThe vast majority of global wealth is concentrated in the hands of a few people. Only one percent of the global population owns assets worth more than one million U.S. dollars. The richest people in the world are Elon Mask, Jeff Bezos, and Bernard Arnault. When it comes to women, Francoise Bettencourt Meyers led the ranking of the most affluent women worldwide. The wealth of over 70 percent of UHNWIs was self-made. Where UHNWIs live and where they leave Unsurprisingly, as North America is the world region with the highest number of UHNWIs, the United States is the country with the highest UHNWI count. However, Hong Kong, special administrative (SAR) region in China, is the city with the highest number of UHNWIs. Nevertheless, China was the country that recorded the highest outflux of UHNWIs in 2022.

  19. F

    Share of Corporate Equities and Mutual Fund Shares Held by the Top 1% (99th...

    • fred.stlouisfed.org
    json
    Updated Mar 21, 2025
    + more versions
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    (2025). Share of Corporate Equities and Mutual Fund Shares Held by the Top 1% (99th to 100th Wealth Percentiles) [Dataset]. https://fred.stlouisfed.org/series/WFRBST01122
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 21, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Share of Corporate Equities and Mutual Fund Shares Held by the Top 1% (99th to 100th Wealth Percentiles) (WFRBST01122) from Q3 1989 to Q4 2024 about mutual funds, wealth, equity, percentile, corporate, and USA.

  20. U.S. 20 richest colleges in the U.S. FY 2024

    • ai-chatbox.pro
    • statista.com
    Updated Mar 31, 2025
    + more versions
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    Statista (2025). U.S. 20 richest colleges in the U.S. FY 2024 [Dataset]. https://www.ai-chatbox.pro/?_=%2Fstatistics%2F221147%2Fthe-20-richest-colleges-in-the-us%2F%23XgboD02vawLYpGJjSPEePEUG%2FVFd%2Bik%3D
    Explore at:
    Dataset updated
    Mar 31, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The university in the United States with the largest endowment market value in 2024 was Harvard University, with an endowment fund value of about 51.98 billion U.S. dollars. U.S. higher education Colleges and universities in the United States rank highly among the world’s most prestigious institutions of higher education. Many universities are particularly well known for their strong research capabilities and their connections to many Nobel Prize winning laureates.The U.S. university system is largely decentralized. Except for service academies and staff colleges, the federal government does not directly regulate universities; public universities are administered solely by the individual states. Besides the state administered public universities, there are many private universities in the United States, most are non-profit institutions, similar to the public universities, but there are also a number of institutions that rely on profit (Walden University in Minnesota, for example).In general, tuition fees are required to be paid by students at American universities. Public universities generally charge lower tuition rates to in-state students, than to out-of-state students. Private universities are often much more expensive than public ones because they do not receive funding from state governments.American students are often required to take out student loans to supplement scholarships and grants provided by diverse sources to be able to pay for tuition. Student debt has become a major issue in the United States in recent years, with many Americans unsure if they can even afford to pay off their student loans in the future.

Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
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Statista (2025). U.S. the richest people in America 2025 [Dataset]. https://www.statista.com/statistics/201426/the-richest-people-in-america/
Organization logo

U.S. the richest people in America 2025

Explore at:
Dataset updated
May 27, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2024
Area covered
United States
Description

As of April 2025, Elon Musk was estimated as the wealthiest person in the United States with a net worth of around 342 billion dollars. Richest people in the United States - additional information Every year since 1982, the American business magazine Forbes has been compiling lists of the 400 richest people in the United States, known as the “Forbes 400.” In addition to that, since 1987, the publication has also been compiling a ranking of the 500 richest people in the world (excluding royalty and dictators), as well as more specialized tops, such as “World's Most Powerful Women,” “America's Richest Families,” “Most Valuable Brands” or “30 Under 30,” which focuses on young entrepreneurs from various fields which have gained millions in the past year by the use of social media, technical innovations and generally new and fresh approaches to business.

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