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.

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.

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

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  Supported Tasks and Leaderboards

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

This map shows households within high ($200,000 or more) and low (less than $25,000) annual income ranges. This is shown as a percentage of total households. The data is attached to tract, county, and state centroids and shows:Percent of households making less than $25,000 annuallyPercent of households making $200,000 or more annuallyThe data shown is household income in the past 12 months. These are the American Community Survey (ACS) most current 5-year estimates: Table B19001. The data layer is updated annually, so this map always shows the most current values from the U.S. Census Bureau. To find the layer used in this map and see the full metadata, visit this Living Atlas item.These categories were constructed using an Arcade expression, which groups the lowest census income categories and normalizes them by total households.

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.

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.

Graph and download economic data for Minimum Wealth Cutoff for the Top 0.1% (99.9th to 100th Wealth Percentiles) (WFRBLTP1311) from Q3 1989 to Q3 2022 about wealth, percentile, and USA.

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

This statistic shows the results of a 2012 survey among American Republicans and Democrats on how they characterize the rich compared to the average person. In 2012, 49 percent of the respondents who were Republican stated they consider rich people more likely than the average person to be intelligent, whereas 33 percent of the respondents who were Democrats responded that rich people were more likely than the average person to be hardworking.

Graph and download economic data for Share of Net Worth Held by the Bottom 50% (1st to 50th Wealth Percentiles) (WFRBSB50215) from Q3 1989 to Q1 2025 about net worth, wealth, percentile, Net, and USA.

Affluent Americans used to vote for Republican politicians. Now they vote for Democrats. In this paper, I show detailed evidence for this decades-in-the-making trend and argue that it has important consequences for the U.S. politics of economic inequality and redistribution. Beginning in the 1990s, the Democratic Party has won increasing shares of rich, upper-middle income, high-income occupation, and stock-owning voters. This appears true across voters of all races and ethnicities, is concentrated among (but not exclusive to) college-educated voters, and is only true among voters living in larger metropolitan areas. In the 2010s, Democratic candidates' electoral appeal among affluent voters reached above-majority levels. I echo other scholars in maintaining that this trend is partially driven by increasingly “culturally liberal” views of educated voters and party elite polarization on those issues, but I additionally argue that the evolution and stasis of the parties' respective economic policy agendas has also been a necessary condition for the changing behavior of affluent voters. This reversal of an American politics truism means that the Democratic Party's attempts to cohere around an economically redistributive policy agenda in an era of rising inequality face real barriers.

This archive contains replication data and code for "Ideology of Affluence: Rich Americans' Explanations for Inequality and Redistributive Attitudes."

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in Rich County. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Rich County. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

Key observations: Insights from 2023

In terms of income distribution across age cohorts, in Rich County, householders within the 45 to 64 years age group have the highest median household income at $102,222, followed by those in the 25 to 44 years age group with an income of $75,227. Meanwhile householders within the 65 years and over age group report the second lowest median household income of $57,143. Notably, householders within the under 25 years age group, had the lowest median household income at $49,844.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Age groups classifications include:

• Under 25 years
• 25 to 44 years
• 45 to 64 years
• 65 years and over

Variables / Data Columns

• Age Of The Head Of Household: This column presents the age of the head of household
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific age group

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Rich County median household income by age. You can refer the same here

The Latin American wealth management market, valued at $1.18 billion in 2025, is projected to experience steady growth, driven by a rising high-net-worth individual (HNWI) population, increasing disposable incomes, and a growing awareness of sophisticated wealth management strategies. The market's compound annual growth rate (CAGR) of 2.34% from 2025 to 2033 indicates a consistent, albeit moderate, expansion. Key growth drivers include the increasing financial sophistication of the region's affluent population, coupled with a demand for personalized financial planning and investment solutions tailored to the unique economic and political landscape of Latin America. This is further fueled by a growing entrepreneurial class and favorable regulatory changes in some key markets, promoting foreign investment and fostering the growth of private banking and family office services. The segment breakdown shows a significant contribution from HNWIs, while Private Bankers and Family Offices are the dominant players in the wealth management firm type segment. Brazil is expected to be the largest market within the region, followed by other key countries like Chile, Peru, and Colombia, each with unique growth dynamics influenced by local economic conditions and regulatory environments. While market growth is projected to be stable, competitive pressures amongst established international players (Credit Suisse, UBS, Morgan Stanley) and strong local players (BTG Pactual, Itaú Private Bank, Bradesco) will be key factors in determining the success and market share of individual firms. Growth will be influenced by macroeconomic conditions, political stability, and investor sentiment within each country. For instance, economic fluctuations in Brazil can significantly impact the overall market performance. The penetration of digital wealth management platforms is expected to gradually increase, presenting both opportunities and challenges for traditional players. Challenges include adapting to changing client expectations and investing in technological infrastructure. Successful firms will need to demonstrate a deep understanding of local market nuances and provide tailored services to meet the specific needs and risk profiles of their clientele in a region characterized by diverse economic landscapes and investment preferences. The continued growth potential of Latin America's wealth management sector hinges on addressing these challenges and capitalizing on the unique opportunities presented by this dynamic market. Recent developments include: In 2021, BTG Pactual hired a private banker from the Swiss private bank Credit Suisse for its Miami wealth management business. Leonardo Brayner joined the Brazilian group after having spent 11 years at Credit Suisse's offices in The Bahamas, where he most recently served as a vice president of wealth management on its client service desk., In 2021, Credit Suisse made a USD 400 million cash distribution, in line with its announcement that Credit Suisse would repay some of the money from the closed Greensill supply chain funds. The money will be paid to the investors in the bank's Virtuoso SICAV-SIF funds. Credit Suisse's four Virtuoso SICAV-SIF funds were invested in the supply chain funds.. Notable trends are: Alternative Assets To Boom In Latin America.

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Rich Hill, MO, 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

• Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 14,554, while the mean income for the highest quintile (20% of households with the highest income) is 90,043. This indicates that the top earners earn 6 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 124,741, which is 138.53% higher compared to the highest quintile, and 857.09% higher compared to the lowest quintile.

Content

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

Income Levels:

• Lowest Quintile
• Second Quintile
• Third Quintile
• Fourth Quintile
• Highest Quintile
• Top 5 Percent

Variables / Data Columns

• Income Level: This column showcases the income levels (As mentioned above).
• Mean Household Income: Mean household income, in 2023 inflation-adjusted dollars for the specific income level.

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 Hill median household income. You can refer the same here

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in Rich Creek. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Rich Creek. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

Key observations: Insights from 2023

In terms of income distribution across age cohorts, in Rich Creek, householders within the 25 to 44 years age group have the highest median household income at $93,472, followed by those in the under 25 years age group with an income of $53,750. Meanwhile householders within the 45 to 64 years age group report the second lowest median household income of $52,813. Notably, householders within the 65 years and over age group, had the lowest median household income at $38,750.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Age groups classifications include:

• Under 25 years
• 25 to 44 years
• 45 to 64 years
• 65 years and over

Variables / Data Columns

• Age Of The Head Of Household: This column presents the age of the head of household
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific age group

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Rich Creek median household income by age. You can refer the same here

The Overview of Latin America Wealth Management Industry is segmented by Client Type (HNWI, Retail/ Individuals, Mass Affluent and Others), Wealth Management Firm Type (Private Bankers, Family Offices and Others) and Geography (Brazil, Chile, Peru, Colombia, and the Rest of Latin America). The report offers Market size and forecasts for Latin America Wealth Management Market in value (USD Million) for all the above segments.

The size of the Wealth Management Market Latin America market was valued at USD 1.18 Million in 2023 and is projected to reach USD 1.39 Million by 2032, with an expected CAGR of 2.34% during the forecast period. The wealth management industry encompasses a range of financial services designed to assist individuals and families in managing their financial assets and achieving their long-term financial goals. This industry primarily targets high-net-worth individuals (HNWIs) and ultra-high-net-worth individuals (UHNWIs), offering personalized services that include investment management, financial planning, tax advice, estate planning, and retirement planning. Wealth management firms aim to provide a holistic approach to wealth accumulation and preservation, tailoring strategies to meet the unique needs and preferences of their clients. As the global economy evolves, the wealth management industry is experiencing significant growth driven by increasing wealth concentrations, particularly in emerging markets. The rise in disposable income, along with the growing awareness of the importance of financial planning, has led to a greater demand for comprehensive wealth management services. Additionally, technological advancements, such as robo-advisors and financial technology (fintech) platforms, are transforming how wealth management services are delivered, making them more accessible and efficient. Recent developments include: In 2021, BTG Pactual hired a private banker from the Swiss private bank Credit Suisse for its Miami wealth management business. Leonardo Brayner joined the Brazilian group after having spent 11 years at Credit Suisse's offices in The Bahamas, where he most recently served as a vice president of wealth management on its client service desk., In 2021, Credit Suisse made a USD 400 million cash distribution, in line with its announcement that Credit Suisse would repay some of the money from the closed Greensill supply chain funds. The money will be paid to the investors in the bank's Virtuoso SICAV-SIF funds. Credit Suisse's four Virtuoso SICAV-SIF funds were invested in the supply chain funds.. Key drivers for this market are: Guaranteed Protection Drives The Market. Potential restraints include: Long and Costly Legal Procedures. Notable trends are: Alternative Assets To Boom In Latin America.

Graph and download economic data for Minimum Wealth Cutoff for the 90th to 99th Wealth Percentiles (WFRBLN09304) from Q3 1989 to Q3 2022 about wealth, percentile, and USA.

In the first quarter of 2024, 51.8 percent of the total wealth in the United States was owned by members of the baby boomer generation. In comparison, millennials own around 9.4 percent of total wealth in the U.S. In terms of population distribution, there is almost an equal share of millennials and baby boomers in the United States.