The university in the United States with the largest endowment market value in 2023 was Harvard University, with an endowment fund value of about 49.5 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.

In the academic year of 2021/22, public universities and colleges in the United States received approximately 83.36 billion U.S. dollars of revenue through tuition and fees charged to students. A further 40.98 billion U.S. dollars in revenue came from federal grants and contracts.

In the academic year of 2020/21, private for-profit universities and colleges in the United States received approximately 13.49 billion U.S. dollars of revenue through tuition and fees charged to students. A further 47.22 million U.S. dollars of revenue came from investment return.

Financial information of colleges, type of revenues by geography and type of funds.

In the 2020-2021 academic year in the United States, community college revenues from tuition totaled to about 15.49 billion U.S. dollars. The most funding came from states, at 22.99 billion U.S. dollars.

Graph and download economic data for Income Before Taxes: Wages and Salaries by Highest Education: Less Than College Graduate: Less Than High School Graduate (CXU900000LB1403M) from 2012 to 2023 about no college, secondary schooling, secondary, salaries, tax, education, wages, income, and USA.

This statistic shows the ten colleges in the United States that had the highest ratio of students in, or came from families in, the top 1 percent of income to students from the bottom 60 percent of incomes. The statistic is based on the 1991 cohort and therefore is approximate to the class of 2013. In the 1991 cohort, Washington University in St. Louis had 3.56 students from the 1 percent for every student from the bottom 60 percent.

Graph and download economic data for Income After Taxes: Income After Taxes by Highest Education: College Graduate: Master's, Professional, Doctoral Degree (CXUINCAFTTXLB1409M) from 2012 to 2023 about doctoral degree, professional, tertiary schooling, tax, education, income, and USA.

The Educational Services sector comprises 13 subsectors of the US economy, ranging from public schools to testing and educational support schools. Primary, secondary and postsecondary schools alone generate 94.0% of the sector's revenue. Most of these institutions rely entirely on government funding, and nearly three-quarters of the educational services revenue comes from public schools and public universities. Accordingly, strong federal, state and local support for all levels of education has driven revenue upward over the past five years. Rising per capita disposable income has made private schools and higher education more affordable for students and parents, though recent inflation has strained consumers' wallets and stalled this trend. Revenue has climbed at a CAGR of 0.7% to an estimated $1.9 trillion through the end of 2024, when revenue will rise by 0.6%. Solid government funding for education has helped support the sector's success even amid fluctuating enrollment. Faltering birth rates are leading to lower head counts in K-12 schools, and ballooning student debt has made many would-be college students skeptical of the return on investment of an expensive degree. While student loan forgiveness efforts slowed a decline in the number of college students, the new presidential administration's end to these efforts will exacerbate price-based and quality-based competition among higher education institutions. Universities' profit will face pressure as they invest in premium facilities while keeping tuition low. Trends in the domestic economy are set to move in the sector's favor over the next five years as prospective students become more able to afford rising tuition rates and premium education options. Government funding for primary, secondary and postsecondary institutions will continue to escalate through the next period, though lackluster enrollment will temper revenue growth. Public schools, which account for over half the sector's revenue, will continue to post losses and drag down the average profit for educational services. New federal voucher programs will likely make private schools more affordable for parents. However, significant changes to the Department of Education may radically change the federal government's support for education. Overall, revenue is set to climb at a CAGR of 0.6% to $2.0 trillion.

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in University Park: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

Key observations

• Upon closer examination of the distribution of households among age brackets, it reveals that there are 45(16.85%) households where the householder is under 25 years old, 117(43.82%) households with a householder aged between 25 and 44 years, 81(30.34%) households with a householder aged between 45 and 64 years, and 24(8.99%) households where the householder is over 65 years old.
• In University Park, the age group of 25 to 44 years stands out with both the highest median income and the maximum share of households. This alignment suggests a financially stable demographic, indicating an established community with stable careers and higher incomes.

Content

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

Income brackets:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $100,000 to $124,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
• Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
• 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
• 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
• 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

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 University Park median household income by age. You can refer the same here

Community colleges have fared well through the past five years as solid government support made up for pandemic-era challenges and lackluster enrollment. Quarantines discouraged many from enrolling in higher education, leading to deferred enrollments and gap years that turned into careers without a college education. In response, the US government poured $12.6 billion into the Higher Education Emergency Relief Fund to mitigate losses. This support helped offset mass dropouts, leading to only a slight dip in revenue. Enrollment has returned to growth for the first time in over a decade as inflationary pressure pushes consumers to the cheapest option for furthering their education. Industry revenue has been expanding at a CAGR of 0.4% over the past five years to an estimated $72.1 billion in 2024, when revenue will surge by 1.9%. Recently, the escalating student debt crisis and the Supreme Court's blocking of President Biden's sweeping student debt forgiveness plan have pushed the cost of higher education to the forefront of the minds of those considering pursuing a degree. Community college costs have only slightly exceeded inflation over the past five decades, while private four-year universities' price point swells more every year. Accordingly, community colleges have become a more popular option for price-conscious students. Despite revenue growth, rising wage expenses have limited surpluses for the industry, leading to sluggish recovery and little reinvestment into educational infrastructure. Community colleges are set to see muted revenue growth through the next period. Community college enrollment will outpace competing higher education enrollment as the industry benefits from its low price point. Federal funding will continue to climb amid growing bipartisan concerns about filling high-demand industry jobs and keeping higher education affordable. The popularity of online education will remain a major player in the education sector, with community colleges offering diverse online courses that attract students seeking flexible schedules. Industry revenue is expected to continue climbing at a CAGR of 0.4% to $73.6 billion through the end of 2029.

About this dataset

Context

The dataset presents the median household income across different racial categories in University Heights. 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 University Heights population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 70.51% of the total residents in University Heights. Notably, the median household income for White households is $104,014. Interestingly, despite the White population being the most populous, it is worth noting that Two or More Races households actually reports the highest median household income, with a median income of $220,435. This reveals that, while Whites may be the most numerous in University Heights, Two or More Races households experience greater economic prosperity in terms of median household income.

Content

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

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in University Heights.
• Median household income: Median household income, adjusting for inflation, presented in 2023-inflation-adjusted dollars

Good to know

Margin of Error

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

Custom data

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

Inspiration

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

Recommended for further research

This dataset is a part of the main dataset for University Heights median household income by race. You can refer the same here

This data collection contains information on finances for a sample of postsecondary institutions in the United States. Data on financial characteristics of postsecondary institutions are taken from Finance and Consolidated surveys, collected annually. The finance data are used for reporting and projecting capital outlays of two-year and four-year colleges and universities, trends in replacements of plant assets, and performance of endowment funds. Part 1, Institutional Characteristics, includes variables on control and level of institution, religious affiliation, highest level of offering, Carnegie classification, and state FIPS codes and abbreviations. Part 2, Current Funds Revenues by Source (Part A of the survey), provides each institution's current fund revenues by source (e.g., tuition and fees, government, gifts). Part 3, Current Funds Expenditures by Function (Part B), covers expenditures for instruction, research, and plant maintenance. Part 4, Clarifying Questions (Part C), contains information on total E&G revenues and expenditures to determine what is included/excluded from reported current fund expenditures. Part 5, Clarifying Question 5 (Part C5), lists excluded financial activities by subentities. Part 6, Utility Expenditures (Part D), reports all expenditures for utilities in the operation and maintenance of the plant, auxiliary enterprises, and independent operations, excluding expenditures for hospitals. Part 7, Scholarships and Fellowship Expenditures (Part E), covers scholarships, defined as grant-in-aid, trainee stipends, tuition and fee waivers, prizes to undergraduate students, and fellowships given to graduate students. Part 8, Expenditures for Library Acquisitions (Part F), covers costs involved in acquisition of library materials. Part 9, Indebtedness on Physical Plant (Part G), reports data on indebtedness liability against the physical plant, including auxiliary enterprises facilities as well as educational and general facilities, and excluding debt issued and backed by the state government. Part 10, Details of Endowment Assets (Part H), provides information on the amounts of gross investments of endowment, term endowment, and funds functioning as endowment for the institution, and any of its foundations and other affiliated organizations. Part 11, Selected Funds Balances (Part I), includes both unrestricted and restricted funds balances. Part 12, Hospital Revenues (Part J), reports the revenues for, or generated by, major public service hospitals over which the institution has fiscal control (excluding medical schools). Part 13, Physical Plant Assets (Part K), reports the values of land, buildings, and equipment owned, rented, or used by the institution. Part 14, Consolidated Form (CN) data (Part CN), includes revenues from tuition and fees, federal, state, and local grants, contracts, and sales of educational services. It also includes instructional expenditures, scholarships, and fellowships by source of financial aid.

At the start of the 2020 school year, some colleges chose to reopen in person while others offered primarily online classes. We find that colleges responded to financial and other incentives largely as one might expect. Larger shares of revenue attributed to in-person activities, such as dorms and dining halls, led schools to reopen in person. In general, the share of revenue due to tuition and fees had little association with reopening in-person, which is consistent with the idea that the effect of the mode of reopening on enrollment was ambiguous. However, private schools experiencing financial distress due to tuition and fees were more likely to reopen in-person while public schools were less likely. Public colleges were influenced by political pressures and the fraction of students from out of state, while private schools responded to the severity of COVID in their local community.

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in College Place, WA, 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 17,449, while the mean income for the highest quintile (20% of households with the highest income) is 223,935. This indicates that the top earners earn 13 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 404,027, which is 180.42% higher compared to the highest quintile, and 2315.47% 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 College Place 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 University Park. 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 University Park. 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 University Park, householders within the 25 to 44 years age group have the highest median household income at $74,792, followed by those in the 45 to 64 years age group with an income of $72,188. Meanwhile householders within the under 25 years age group report the second lowest median household income of $25,850. Notably, householders within the 65 years and over age group, had the lowest median household income at $22,500.

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 University Park median household income by age. You can refer the same here

About this dataset

Context

The dataset presents the median household income across different racial categories in University City. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

Key observations

Based on our analysis of the distribution of University City population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 55.46% of the total residents in University City. Notably, the median household income for White households is $112,822. Interestingly, despite the White population being the most populous, it is worth noting that Two or More Races households actually reports the highest median household income, with a median income of $127,396. This reveals that, while Whites may be the most numerous in University City, Two or More Races households experience greater economic prosperity in terms of median household income.

Content

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

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in University City.
• Median household income: Median household income, adjusting for inflation, presented in 2023-inflation-adjusted dollars

Good to know

Margin of Error

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

Custom data

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

Inspiration

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

Recommended for further research

This dataset is a part of the main dataset for University City median household income by race. You can refer the same here

During the 2017 Legislative Session HB 2946 was passed. This composite report includes links to data and information from Oregon Universities. For more information go to: http://www.oregon.gov/transparency/Pages/Higher_Education.aspx.

About this dataset

Context

The dataset presents the median household income across different racial categories in College Park. 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 College Park population by race & ethnicity, the population is predominantly Black or African American. This particular racial category constitutes the majority, accounting for 82.45% of the total residents in College Park. Notably, the median household income for Black or African American households is $46,201. Interestingly, despite the Black or African American population being the most populous, it is worth noting that Asian households actually reports the highest median household income, with a median income of $250,001. This reveals that, while Black or African Americans may be the most numerous in College Park, Asian households experience greater economic prosperity in terms of median household income.

Content

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

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in College Park.
• Median household income: Median household income, adjusting for inflation, presented in 2023-inflation-adjusted dollars

Good to know

Margin of Error

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

Custom data

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

Inspiration

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

Recommended for further research

This dataset is a part of the main dataset for College Park median household income by race. You can refer the same here

In 2024, several universities across the Asia Pacific region, scored 100 out of 100 in a ranking of industry income. South Korea appeared to dominate the ranking for leading universities in terms of industry income throughout the Asia Pacific region, securing three of the ten highest industry income scores in Asia Pacific.