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 the academic year of 2023/24, around 21 million students were enrolled for undergraduate degrees in the United States. This was a slight increase from the previous year, when 20.6 million students were enrolled as undergraduates.

Data from the Ministry of Colleges and Universities' College Enrolment Statistical Reporting system. Provides aggregated key enrolment data for college students, such as: * Fall term headcount enrolment by campus, credential pursued and level of study * Fall term headcount enrolment by program and Classification of Instructional Program * Fall term headcount enrolment by student status in Canada and country of citizenship by institution * Fall term headcount enrolment by student demographics (e.g., gender, age, first language) To protect privacy, numbers are suppressed in categories with less than 10 students. ## Related * College enrolments - 1996 to 2011 * University enrolment * Enrolment by grade in secondary schools * School enrolment by gender * Second language course enrolment * Course enrolment in secondary schools * Enrolment by grade in elementary schools

University Student Enrollment Data

Demographics and Academic Details of University Student Enrollments

By Gove [source]

About this dataset

This dataset represents a comprehensive collection of valuable and relevant information regarding student registration across a multitude of universities. It provides an in-depth insight into various aspects of this subject matter, making it an indispensable tool for any research related to university student registrations.

The information contained within this particular dataset offers extensive details about each individual student. This rich, individual data includes demographic particulars such as their age, gender and nationality - details which could yield interesting points of analysis when correlated against other factors within the data.

Additionally, this dataset maintains academic records for each registered student, providing detailed descriptions like course of study and year of enrollment. This formative data aids in understanding students' registration patterns over the years or tracking their academic progression throughout their tenure at university.

Moreover, the dataset is also expected to contain vital statistics tied to individual universities where these students are enrolled. Such expected details include each institution's location which can provide geo-political or socio-economic insights pertaining to university selection trends amongst students.

Further enriching the body of knowledge available within this repository is potential data related to specific course offerings by these universities – a feature useful for assessing popular disciplines or identifying shifts in educational trends based on subject popularity.

Another significant set of information which might be found inside this repository pertains to faculty specifics including number and qualifications alongside overall ranking standings – these can serve as additional metrics in gauging perceived quality or reputation among the registered student bodies with respect to selecting universities for further studies.

In sum, whether you’re interested in mapping out educational trends over time; analyzing demographic profiles against choice courses; studying correlations between nationality and select colleges; or looking into institutional rankings’ sway over enrollments – this amalgamation holds invaluable keys that unlock numerous possibilities through exploration via different combinations making it versatile enough for diverse investigatory needs while offering deep analytical potentials for those willing explore its depths

How to use the dataset

• Student Demographic Analysis: You can use this dataset to understand the demographic distribution of students across universities. This involves analyzing information related to age, nationality, and gender among others. For example, you might want to find out which university has the highest number of international students or what is the gender ratio in a specific course of study.

• Analysis on Courses & Faculties: Data from this dataset can be used for insightful exploration into various courses and faculties offered by different universities. You may want to investigate questions like What is the most popular course?or Which university has a larger faculty for science stream?.

• University Comparison: The data allows for comparison between different universities based on their student population, diversity, departments/faculties and courses being offered etc.. In doing so, you could discern trends or patterns linked with university ranking and location that may play role in student enrollment decisions.

• Tracking Enrollment Trends: By examining factors such as year of enrollment and course selections over time, it becomes possible to track trends within each school's student body population or wider academic field at large scale over multiple years; potentially even predicting future movements.

• The dataset also provides excellent resources for machine learning applications such as predictive models for student academic performance or building recommender systems capable off suggesting best suited unversities or courses based on individual characterstics.

• This data set can also aid administrative decision making processes around things like budget allocation (based on number of students per faculty), policy changes related with improving diversity within campus etc., providing valuable quantitative backing towards making such important decisions.

Remember that while using this dataset correctly respecting privacy norms is paramount given sensitive nature involved with personal details included here; always adhere...

In 2022, about **** million male students were enrolled in degree-granting postsecondary institutions as undergraduates. This is compared to **** million female undergraduate students who were enrolled in that same year. By 2031, these figures are projected to increase to **** million and *** million respectively.

As of 2022, 51.4 percent of Americans aged 20 to 21 years were enrolled in higher education institutions in the United States, a considerable increase compared to 31.9 percent enrolled in 1970. For Americans aged 18 to 19, 46.5 percent were enrolled in higher education in 2022.

Trends in enrollment at City University of New York (CUNY) by enrollment category (transfers, freshmen, graduates, undergraduates, total).

In 2022, there were approximately 107,700 students with American Indian or Alaskan Native heritage enrolled at a university in the United States. This is a slight increase from the previous year, when there were 106,600 students with American Indian or Alaska Native heritage enrolled in postsecondary education.

This dataset captures detailed enrollment information for Montgomery College students during the Fall term.

It includes demographics (gender, race, ethnicity, age group), academic program descriptions, campus attendance (Germantown, Rockville, Takoma Park), high school background, and geographic details such as city, county, state, and ZIP code.

Each row represents an individual student record, reflecting their educational path and location preferences.

From a data science or analytics perspective, various analyses can be performed:

• Trend Analysis: Track changes in student demographics or program enrollments over different Fall terms.
• Segmentation: Group students by age, race, status (full-time/part-time), or location to tailor interventions.
• Program Popularity: Determine which academic programs are most attractive to different student types.
• Geospatial Mapping: Use ZIP and city data to visualize student distribution and commuting patterns.

This dataset presents the number of student enrollments at Hamad Bin Khalifa University, categorized by college, nationality (Qatari, Non-Qatari), and gender. The data is broken down by year and by male, female, and total student numbers for each category. This data provides insights into the university's enrollment trends and demographic diversity over the years.

From 2017 to 2023, the number of students enrolled in college for the fall term either decreased or stayed the same in all sectors in the United States, except for a slight increase in public 2-year colleges. By 2024, however, enrollment increased slightly for each sector. The sector with the highest enrollment numbers in the U.S. was public 4-year colleges, with *** million students enrolled in the fall term in 2017. This number reached *** million in 2024.

The data here is from the report entitled Trends in Enrollment, Credit Attainment, and Remediation at Connecticut Public Universities and Community Colleges: Results from P20WIN for the High School Graduating Classes of 2010 through 2016. The report answers three questions: 1. Enrollment: What percentage of the graduating class enrolled in a Connecticut public university or community college (UCONN, the four Connecticut State Universities, and 12 Connecticut community colleges) within 16 months of graduation? 2. Credit Attainment: What percentage of those who enrolled in a Connecticut public university or community college within 16 months of graduation earned at least one year’s worth of credits (24 or more) within two years of enrollment? 3. Remediation: What percentage of those who enrolled in one of the four Connecticut State Universities or one of the 12 community colleges within 16 months of graduation took a remedial course within two years of enrollment? Notes on the data: School Credit: % Earning 24 Credits is a subset of the % Enrolled in 16 Months. School Remediation: % Enrolled in Remediation is a subset of the % Enrolled in 16 Months.

This data is provided by Gallatin College, Southwest Montana's two-year college that offers two-year associate degrees and one-year professional certificates. This data describes the demographics for both race and ethnicity as well as gender identity for all of the programs offered by Gallatin College.Data DictionaryRace/Ethinicity:A: AsianAIAN: American Indian or Alaska NativeBAA: Black or African AmericanHL: Hispanic or LatinoNHPI: Native Hawaiian or other Pacific IslanderW: WhiteOther: Some other raceTwo: Two or more racesGender IdentityFemaleMaleGNI: Gender not identifiedFind out more about Gallatin College

University and college enrollment measures the total fall enrollment at the University of Illinois and Parkland College. Spring enrollment figures are not included in this indicator.

Enrollment at the University of Illinois has seen a steadily increasing trend since 2000, with a slight drop between 2006 and 2007, and again between 2022 and 2023. Enrollment at Parkland College has had less of a consistent trend, fluctuating between 2000 and 2011. Parkland College enrollment saw a sharp increase between 2011 and 2012, and decreased between 2012 and 2022. Parkland College enrollment increased in 2023 and 2024.

The University of Illinois and Parkland College are both important parts of the Champaign-Urbana community. Enrollment is an intuitive measure of an institution’s growth. Enrollment cannot paint a complete picture of any institution, but it is a solid starting point.

This data came from enrollment reports posted on the University of Illinois and Parkland College websites.

Sources: Parkland College. Website. Table A1: Annual Enrollment Data. FY 00 - FY 24. (Retrieved 5 December 2024).; Division of Management Information. University of Illinois at Urbana-Champaign. Website. UIUC Student Enrollment. Years 2000-2024. (Retrieved 5 December 2024).

This dataset offers a comprehensive overview of student enrollment across various academic programs, integrating a wide range of variables related to personal demographics, academic performance, and macroeconomic indicators. It includes attributes such as marital status, application mode, and age at enrollment, providing valuable insights into student diversity and application preferences.

The dataset further explores educational backgrounds, encompassing prior academic qualifications and parental education levels, which may influence students’ academic trajectories. Additional features such as attendance preferences, nationality, and special needs status contribute to a nuanced understanding of the student population.

Academic data is detailed through curricular units from both the first and second semesters, capturing information on credits, evaluation outcomes, approvals, and grades. Moreover, the inclusion of economic indicators—such as the unemployment rate, inflation rate, and GDP—enables analysis of potential correlations between economic conditions and educational outcomes.

A key component of the dataset is the 'Target' variable, which serves as the focal point for predictive modeling or classification tasks. This label may represent student success, dropout risk, or another critical educational outcome, offering significant value for researchers and data analysts.

Overall, this dataset supports in-depth exploration of the multifaceted relationship between student attributes, academic performance, and broader socio-economic contexts.

In 2029, the projected number of White high school students enrolled in four-year colleges in the United States was around *********, a decrease when compared to ********* in 2019. For Hispanic high school students, however, the projected number of those enrolled in college in 2029 was approximately *******, an increase from ******* in 2019.

This dataset provides the number of students enrolled in private colleges and universities in Qatar, categorized by educational institution, nationality, and gender. The data includes institutions such as Education City Universities, Hamad Bin Khalifa University, and Lusail University. It allows for the analysis of student enrollment trends across different institutions, nationalities (Qatari and Non-Qatari), and genders. This dataset is useful for understanding the distribution of students in Qatar's higher education institutions, as well as the participation of male and female students within these institutions.

The Higher Education General Information Survey (HEGIS) series was designed to provide comprehensive information on various aspects of postsecondary education in the United States and its territories (American Samoa, Guam, Puerto Rico, the Virgin Islands, and the Marshall Islands) and Department of Defense schools outside the United States. Data are available for both public and private two-year and four-year institutions. The HEGIS Fall Enrollment component for 1969 sought enrollment data from 2,814 institutions of higher education. Key data elements, presented for up to five record types for each institution, include total enrollments of full-time and part-time students by class level, sex, race, and first-time enrollment status, as well as information on the institutions' type of accreditation, type of calendar system, and total number of students.

In 2020, ** percent of high school graduates from families in the lowest income quartile in the United States enrolled in college. This was a decrease of *** percent from the previous year.

In the academic year 2024, the enrollment rate in universities and junior colleges reached around **** percent for male students and **** percent for female students in Japan. The share of young women attending higher education institutions increased more than ******* in the past 60 years. The overall direct enrollment rate after high school graduation was ** percent.