In the fall of 2021, Western Governors University had the largest enrollment in the United States with 150,116 students. The next largest college by enrollment was Southern New Hampshire University with 145,533 students.

As of fall 2021, the University of Central Florida had the largest on-campus population in the United States, with 60,075 undergraduates. Texas A&M University, College Station had the second largest on-campus population in that year, with 53,876 undergrads.

There were approximately 18.58 million college students in the U.S. in 2022, with around 13.49 million enrolled in public colleges and a further 5.09 million students enrolled in private colleges. The figures are projected to remain relatively constant over the next few years.

What is the most expensive college in the U.S.? The overall number of higher education institutions in the U.S. totals around 4,000, and California is the state with the most. One important factor that students – and their parents – must consider before choosing a college is cost. With annual expenses totaling almost 78,000 U.S. dollars, Harvey Mudd College in California was the most expensive college for the 2021-2022 academic year. There are three major costs of college: tuition, room, and board. The difference in on-campus and off-campus accommodation costs is often negligible, but they can change greatly depending on the college town.

The differences between public and private colleges Public colleges, also called state colleges, are mostly funded by state governments. Private colleges, on the other hand, are not funded by the government but by private donors and endowments. Typically, private institutions are  much more expensive. Public colleges tend to offer different tuition fees for students based on whether they live in-state or out-of-state, while private colleges have the same tuition cost for every student.

In 2021, there were 11,814 doctorate recipients in the field of life sciences across the United States, making it the most popular field of study for doctorate recipients in that year. Engineering followed closely behind, with 10,240 doctorate recipients.

About this dataset

Context

The dataset tabulates the College Corner 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 College Corner. The dataset can be utilized to understand the population distribution of College Corner by age. For example, using this dataset, we can identify the largest age group in College Corner.

Key observations

The largest age group in College Corner, OH was for the group of age 25-29 years with a population of 40 (15.44%), according to the 2021 American Community Survey. At the same time, the smallest age group in College Corner, OH was the 20-24 years with a population of 1 (0.39%). 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 College Corner is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of College Corner 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 College Corner Population by Age. You can refer the same here

Out of all leading distance learning institutions in the United States, Western Governors University in Utah was ranked first with 150,116 students taking exclusively distance learning courses as of 2021. Southern New Hampshire University had the second highest exclusive online enrollment, with 138,672 students.

About this dataset

Context

The dataset tabulates the University Heights 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 University Heights. The dataset can be utilized to understand the population distribution of University Heights by age. For example, using this dataset, we can identify the largest age group in University Heights.

Key observations

The largest age group in University Heights, IA was for the group of age 20-24 years with a population of 238 (17.23%), according to the 2021 American Community Survey. At the same time, the smallest age group in University Heights, IA was the 85+ years with a population of 11 (0.80%). 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 University Heights is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of University Heights 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 University Heights Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the University Park 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 University Park. The dataset can be utilized to understand the population distribution of University Park by age. For example, using this dataset, we can identify the largest age group in University Park.

Key observations

The largest age group in University Park, IA was for the group of age 10-14 years with a population of 73 (14.07%), according to the 2021 American Community Survey. At the same time, the smallest age group in University Park, IA was the 80-84 years with a population of 2 (0.39%). 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 University Park is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of University Park 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 University Park Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the College Place 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 College Place. The dataset can be utilized to understand the population distribution of College Place by age. For example, using this dataset, we can identify the largest age group in College Place.

Key observations

The largest age group in College Place, WA was for the group of age 20-24 years with a population of 1,429 (14.67%), according to the 2021 American Community Survey. At the same time, the smallest age group in College Place, WA was the 80-84 years with a population of 130 (1.33%). 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 College Place is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of College Place 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 College Place Population by Age. You can refer the same here

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.

Introduction: The number of postdoctoral scholars working at academic institutions in the United States (U.S.) has grown consistently over the past 40 years, driving calls for better infrastructure to support their specific needs. In response, some institutions have built postdoctoral affairs offices that serve as clearinghouses for information, foster improved mentorship between postdoctoral scholars and their supervisors, and provide training opportunities that contribute to professional development. We assessed postdoctoral affairs infrastructure and the associated training opportunities currently offered at the largest academic institutions within the United States as of spring 2022.

Methods: To carry out this survey, we compiled a list of all R1 and R2 institutions in 2021 as determined by the Carnegie classification system. We first placed any institution classified as an R1 or an R2 into one of four categories, based on the information publicly available on each institution’s website:

Institution has a clear “Office of Postdoctoral Affairs (OPA),” or similar infrastructure that is run by the institution. This may include joint offices for graduate and postdoctoral affairs when it is clear that the distinct needs of postdocs are recognized.

Institution has a “Postdoctoral Association (PDA)” that is run by current postdocs on a voluntary basis. Funding may be provided by the institution.

Institution has a postdoc landing webpage, such as a list of links or online resources, but has no clear OPA or PDA.

Institution has no postdoc landing webpage.

There were several instances where a combination of categories 1, 2, and 3 were evident. In some cases, schools/colleges within an institution (e.g., medical school) had resources for their postdocs, but these were not clearly available for all postdoctoral scholars at the institution and thus were not considered for these purposes.

For each institution classified as 1, 2, 3 or a combination thereof, we categorically assessed (Yes/No) whether or not postdocs were offered any postdoc-specific, in-house training by their OPA or PDA by searching the postdoctoral affairs website. We defined “in-house training” as any event that was led or organized by, or otherwise originated in the host institution. We did not include events run by national organizations such as the National Postdoc Association (NPA), or National Center for Faculty Development and Diversity (NCFDD), as we considered these to be separate. While there are areas in which the needs of graduate students and postdocs overlap, for this study we identified postdoc-specific training as events that were clearly and intentionally aimed at postdocs (i.e., were not events combining postdocs with graduate students, faculty and staff, or the wider university community). For those institutions that offered in-house postdoc training, we then categorized each training opportunity or event into one of seven broad themes:

Research skills (e.g., data management, grant writing)

Teaching skills (e.g., pedagogy, curriculum development)

Professional skills (e.g., leadership, mentorship, project management)

Job market preparation (e.g., preparing job application materials, career talks from academia and industry)

Institutional onboarding (e.g., orientations, library information sessions)

Mental health and wellness (e.g., work-life balance)

Diversity, equity and inclusion (e.g., understanding the value of diversity in the workplace)

To standardize data and align with the R1 & R2 2021 Carnegie classification update, we limited our search of postdoc training opportunities to the 2021 calendar year. We did not include every training opportunity within the full calendar year; once we had found an event to fit each of the seven categories, we ended our search for that individual institution. In cases where the events calendar was blank, restricted to current or future events (2022), or located behind an institutional login page, we attempted to locate other publicly available sources of information. Nevertheless, we have likely captured all of the institutions that do actually have training opportunities. After completing the categorization of events, we also summed the total number of different postdoctoral training opportunity themes addressed by the institution.

Acknowledgements: This survey was supported by the Grand Challenges Initiative at Chapman University.

ObjectiveTo better understand the potential ongoing effects of the COVID-19 pandemic on U.S. university students' mental health and to generate hypotheses as to how universities may best meet students' mental health needs.ParticipantsStudents at a large public university in the United States.MethodsStudents were invited via email to participate in either interviews or focus groups regarding their COVID-19 pandemic experiences, including mental health impacts. Recruitment took place in two waves. Sessions were led by student members of the research team and took place via video conference between December 2020 and June 2021. Interviews were audio-recorded and transcribed via Zoom and manually edited and de-identified by the research team. Interview data were analyzed deductively and inductively using a modified grounded theory approach.ResultsA total of 40 undergraduate and graduate students took part in the study. Major themes included: (1) Overall impact of the pandemic on mental health; (2) Sources of pandemic stress/mental health impacts; (3) Subsequent coping strategies; and (4) Suggestions for improving university support for student mental health. Subthemes were identified within each major theme. Students reported substantial anxiety and other mental health impacts and felt improvements in communication and access to mental health resources could better support students.ConclusionsThis study provides context for the ways in which the COVID-19 pandemic may be continuing to impact mental health in a north-American university setting and identifies suggestions for potential interventions that future studies may test for effectiveness.

About this dataset

Context

The dataset tabulates the University Place population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of University Place. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 - 64 years with a poulation of 20,064 (58.05% of the total population). 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 cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the University Place population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in University Place is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the University Place is shown in the following column.

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 Place Population by Age. You can refer the same here

In the academic year 2023/24, there were 331,602 international students from India studying in the United States. International students The majority of international students studying in the United States are originally from India and China, totaling 331,602 students and 277,398 students respectively in the 2023/24 school year. In 2022/23, there were 467,027 international graduate students , which accounted for over one third of the international students in the country. Typically, engineering and math & computer science programs were among the most common fields of study for these students. The United States is home to many world-renowned schools, most notably, the Ivy League Colleges which provide education that is sought after by both foreign and local students. International students and college Foreign students in the United States pay some of the highest fees in the United States, with an average of 24,914 U.S. dollars. American students attending a college in New England paid an average of 14,900 U.S. dollars for tuition alone and there were about 79,751 international students in Massachusetts . Among high-income families, U.S. students paid an average of 34,700 U.S. dollars for college, whereas the average for all U.S. families reached only 28,026 U.S. dollars. Typically, 40 percent of families paid for college tuition through parent income and savings, while 29 percent relied on grants and scholarships.

About this dataset

Context

The dataset tabulates the State College 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 State College. The dataset can be utilized to understand the population distribution of State College by age. For example, using this dataset, we can identify the largest age group in State College.

Key observations

The largest age group in State College, PA was for the group of age 20-24 years with a population of 15,950 (39.53%), according to the 2021 American Community Survey. At the same time, the smallest age group in State College, PA was the 80-84 years with a population of 316 (0.78%). 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 State College is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of State College 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 State College Population by Age. You can refer the same here

Rental apartments and student housing are a vital part of the housing market in college towns. Towns with high enrollment can be a promising investment choice due to the steady influx of new tenants. In 2021, Ann Arbor, MI had college enrollment amounting to about 50,000 students, while in Spokane, WA 20,000 students enrolled.

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 2024/2025, Oregon Health and Science University had the best student-to-staff ratio in the United States, with 0.9 students for every staff member. The University of Nebraska Medical Center followed closely behind, with two students for every staff member.

About this dataset

Context

The dataset tabulates the population of College Place by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for College Place. The dataset can be utilized to understand the population distribution of College Place by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in College Place. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for College Place.

Key observations

Largest age group (population): Male # 20-24 years (705) | Female # 20-24 years (724). 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

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the College Place population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the College Place is shown in the following column.
• Population (Female): The female population in the College Place is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in College Place for each 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 College Place Population by Gender. You can refer the same here

In 2021, about 37.7 percent of the U.S. population who were aged 25 and above had graduated from college or another higher education institution, a slight decline from 37.9 the previous year. However, this is a significant increase from 1960, when only 7.7 percent of the U.S. population had graduated from college.

Demographics

Educational attainment varies by gender, location, race, and age throughout the United States. Asian-American and Pacific Islanders had the highest level of education, on average, while Massachusetts and the District of Colombia are areas home to the highest rates of residents with a bachelor’s degree or higher. However, education levels are correlated with wealth. While public education is free up until the 12th grade, the cost of university is out of reach for many Americans, making social mobility increasingly difficult.

Earnings

White Americans with a professional degree earned the most money on average, compared to other educational levels and races. However, regardless of educational attainment, males typically earned far more on average compared to females. Despite the decreasing wage gap over the years in the country, it remains an issue to this day. Not only is there a large wage gap between males and females, but there is also a large income gap linked to race as well.