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.

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.

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

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.

About this dataset

Context

The dataset tabulates the population of Rich County by race. It includes the population of Rich County across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Rich County across relevant racial categories.

Key observations

The percent distribution of Rich County population by race (across all racial categories recognized by the U.S. Census Bureau): 89.53% are white, 0.43% are American Indian and Alaska Native, 0.04% are Asian, 4.29% are some other race and 5.72% are multiracial.

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: This column displays the racial categories (excluding ethnicity) for the Rich County
• Population: The population of the racial category (excluding ethnicity) in the Rich County is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Rich County total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Rich Creek by race. It includes the population of Rich Creek across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Rich Creek across relevant racial categories.

Key observations

The percent distribution of Rich Creek population by race (across all racial categories recognized by the U.S. Census Bureau): 96.03% are white, 0.51% are Black or African American and 3.46% are multiracial.

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: This column displays the racial categories (excluding ethnicity) for the Rich Creek
• Population: The population of the racial category (excluding ethnicity) in the Rich Creek is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Rich Creek total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Population by Race & Ethnicity. You can refer the same here

In 2016, around **** percent of all White families in the United States had a net worth of *********** U.S. dollars or more. This compares to only *** percent of Black families.

Graph and download economic data for Share of Net Worth Held by the Top 1% (99th to 100th Wealth Percentiles) (WFRBST01134) from Q3 1989 to Q1 2025 about net worth, wealth, percentile, Net, and USA.

As of September 2025, the executive chairman of Meritz Financial Group Cho Jung-ho was the wealthiest person in South Korea, with a net worth of about 8.4 billion U.S. dollars. His net worth increased from 3.4 billion U.S. dollars from the previous year when he rose from seventh to first place. Lee Jae-yong, the chairman of Samsung Electronics, followed with about 8.2 billion dollars. Turbulent times for the wealthy Despite the country's economic recovery from the impact of COVID-19, South Korea’s wealthiest people lost a significant amount of their net worth because of the poorly performing stock market and a weakened currency. Lee Jae-yong overcame the shrinking demand for tech goods and ranked as the wealthiest South Korean, although his net worth the year before was more than one billion dollars higher. The founder of Kakao, Kim Beom-su, had the same net worth as Lee Jae-yong in 2022. However, he only placed fourth in 2023, losing more than four billion dollars in net worth within the year. In October 2022, Kakao faced public outrage and criticism because of a service outage. Conglomerates’ dominating position in the South Korean economy   Although the collective wealth of the 50 wealthiest people in South Korea fell by about 18 percent, conglomerates dominated the market. Samsung Electronics had the highest market capitalization among business groups listed in South Korea, amounting to about 474 trillion South Korean won. The position of the largest businesses represented a significant hurdle for start-ups. South Korea had a low survival rate for new companies compared to the OECD average, discouraging the emergence of new businesses. When asked about the most critical challenges, small- and medium-sized business owners answered that increasing revenue and attracting customers were the most difficult.

As of January 2023, Aliko Dangote was the richest man in Africa. He had a net worth of around 13.5 billion U.S. dollars and ranked 128th worldwide. From Nigeria, he is the founder and chairman of the Dangote Group, a large conglomerate operating in several sectors including cement and sugar. The South African Johann Rupert and family followed as the second-richest people in Africa, with a net worth of 10.7 billion U.S. dollars.

Dangote Group continues to expand

Founded in 1981, the Dangote Group (Dangote Industries Limited) is among the largest conglomerates in Africa. Its main subsidiary, Dangote Cement Plc, is the main cement manufacturer on the African continent. The business went public in 2010 and is the largest company listed on the Nigerian Stock Exchange. In addition to the cement industry, the Group also manufactures and processes food products, such as sugar, flour, and salt. With Nigeria being the leading African country for oil production, Dangote expanded his business into the oil industry in recent years. For this purpose, the Group built Africa’s biggest oil refinery near Lagos, Nigeria.

Africa’s wealthiest countries

Wealth in Africa is concentrated in a few countries and, within those, in a few families. Counting the highest numbers of billionaires, South Africa, Egypt, and Nigeria are the wealthiest nations, having also the largest gross domestic products (GDPs) in Africa. These countries count the highest number of high-net-worth individuals (HNWIs), which amounts to over 39,000 in South Africa. Not surprisingly, Johannesburg and Cape Town have the highest concentration of private wealth in Africa. Moreover, South Africa has the highest wealth per capita after Mauritius.

About this dataset

Context

The dataset tabulates the Rich Square population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Rich Square. The dataset can be utilized to understand the population distribution of Rich Square by age. For example, using this dataset, we can identify the largest age group in Rich Square.

Key observations

The largest age group in Rich Square, NC was for the group of age 65-69 years with a population of 80 (10.75%), according to the 2021 American Community Survey. At the same time, the smallest age group in Rich Square, NC was the 30-34 years with a population of 0 (0.00%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

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

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Rich Square is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Rich Square total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Population by Age. You can refer the same here

In 2023, **** percent of Black people living in the United States were living below the poverty line, compared to *** percent of white people. That year, the total poverty rate in the U.S. across all races and ethnicities was **** percent. Poverty in the United States Single people in the United States making less than ****** U.S. dollars a year and families of four making less than ****** U.S. dollars a year are considered to be below the poverty line. Women and children are more likely to suffer from poverty, due to women staying home more often than men to take care of children, and women suffering from the gender wage gap. Not only are women and children more likely to be affected, racial minorities are as well due to the discrimination they face. Poverty data Despite being one of the wealthiest nations in the world, the United States had the third highest poverty rate out of all OECD countries in 2019. However, the United States' poverty rate has been fluctuating since 1990, but has been decreasing since 2014. The average median household income in the U.S. has remained somewhat consistent since 1990, but has recently increased since 2014 until a slight decrease in 2020, potentially due to the pandemic. The state that had the highest number of people living below the poverty line in 2020 was California.

The statistic shows the distribution of U.S. millionaires in 2013, by race and ethnicity. As of 2013, about ** percent of U.S. millionaires were White/Caucasian.

Additional information on racial income inequality

The issue of racial inequality in regards to income and wealth has been a problem through the entirety of the history of the United States. The statistic above demonstrates how the percentage of millionaires that identify as Black/African Americans is disproportionate to the share of the population overall. While the disproportionate number of millionaires demonstrates an undesirable degree of income inequality it is at the bottom of the wealth ladder within American society that the issue is most pressing. The overrepresentation of African Americans in contrast to the population in unemployment statistics are cause for concern on the part of the government and society as a whole. In 2014, nearly ** percent of surveyed families who placed themselves in the income bracket of under *** thousand dollars identified as black.

The percentage of non-white female business owners perhaps demonstrates that barriers to wealth exist but are diminished in unison. As barriers to wealth generation are removed for women, similar barriers are also being broken to allow for greater equality in the economic opportunities offered across the population of the United States. A central issue for policy makers is the time delay associated with policies aimed at reversing these inequalities. This was reflected in the 2015 Democratic and Republican presidential primary campaigns. Despite many major candidates discussing the issue none put forward meaningful proposals to address the problem. Even Senator Bernie Sanders who made addressing income inequality the cornerstone failed to separate the issue from income inequality generally. However, the global attention gained by movements such as ‘Black Lives Matter’ shows issues of racial inequality are prominent in the discourse of sections of the wider population if not forming a cornerstone of the political discourse in the United States.

About this dataset

Context

The dataset tabulates the Non-Hispanic population of Rich County by race. It includes the distribution of the Non-Hispanic population of Rich County across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Rich County across relevant racial categories.

Key observations

Of the Non-Hispanic population in Rich County, the largest racial group is White alone with a population of 2,315 (96.14% of the total Non-Hispanic population).

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: This column displays the racial categories (for Non-Hispanic) for the Rich County
• Population: The population of the racial category (for Non-Hispanic) in the Rich County is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Rich County total Non-Hispanic population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Population by Race & Ethnicity. You can refer the same here

Data show the ratio of the income or expenditure share of the richest group (10%)to that of the poorest 10%

In the first quarter of 2025, almost two-thirds percent of the total wealth in the United States was owned by the top 10 percent of earners. In comparison, the lowest 50 percent of earners only owned 2.5 percent of the total wealth. Income inequality in the U.S. Despite the idea that the United States is a country where hard work and pulling yourself up by your bootstraps will inevitably lead to success, this is often not the case. In 2023, 7.4 percent of U.S. households had an annual income under 15,000 U.S. dollars. With such a small percentage of people in the United States owning such a vast majority of the country’s wealth, the gap between the rich and poor in America remains stark. The top one percent The United States was the country with the most billionaires in the world in 2025. Elon Musk, with a net worth of 342 billion U.S. dollars, was among the richest people in the United States in 2025. Over the past 50 years, the CEO-to-worker compensation ratio has exploded, causing the gap between rich and poor to grow, with some economists theorizing that this gap is the largest it has been since right before the Great Depression.

About this dataset

Context

The dataset tabulates the Rich County population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Rich County. The dataset can be utilized to understand the population distribution of Rich County by age. For example, using this dataset, we can identify the largest age group in Rich County.

Key observations

The largest age group in Rich County, UT was for the group of age 5 to 9 years years with a population of 285 (11.01%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Rich County, UT was the 85 years and over years with a population of 41 (1.58%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

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

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Rich County is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Rich County total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Population by Age. You can refer the same here

In 2023, just over 50 percent of Americans had an annual household income that was less than 75,000 U.S. dollars. The median household income was 80,610 U.S. dollars in 2023. Income and wealth in the United States After the economic recession in 2009, income inequality in the U.S. is more prominent across many metropolitan areas. The Northeast region is regarded as one of the wealthiest in the country. Maryland, New Jersey, and Massachusetts were among the states with the highest median household income in 2020. In terms of income by race and ethnicity, the average income of Asian households was 94,903 U.S. dollars in 2020, while the median income for Black households was around half of that figure. What is the U.S. poverty threshold? The U.S. Census Bureau annually updates its list of poverty levels. Preliminary estimates show that the average poverty threshold for a family of four people was 26,500 U.S. dollars in 2021, which is around 100 U.S. dollars less than the previous year. There were an estimated 37.9 million people in poverty across the United States in 2021, which was around 11.6 percent of the population. Approximately 19.5 percent of those in poverty were Black, while 8.2 percent were white.

About this dataset

Context

The dataset tabulates the Rich Hill population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Rich Hill. The dataset can be utilized to understand the population distribution of Rich Hill by age. For example, using this dataset, we can identify the largest age group in Rich Hill.

Key observations

The largest age group in Rich Hill, MO was for the group of age 55 to 59 years years with a population of 146 (10.34%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Rich Hill, MO was the 85 years and over years with a population of 10 (0.71%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

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

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Rich Hill is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Rich Hill total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Population by Age. You can refer the same here

A dataset listing the richest zip codes in Mississippi per the most current US Census data, including information on rank and average income.