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.

This repository contains datasets and analysis code accompanying the paper "An Empirical Evaluation of Chinese College Admissions Reforms Through A Natural Experiment" by Chen, Jiang, and Kesten. The datasets contain the college admission data for a county in China's Sichuan Province for year 2008 and 2009. These include students' submitted rank-ordered lists of colleges and admission results. All variables are recoded to remove any identifiable information (including college and high school code). The analysis code can be used to replicate the tables and figures in the paper.

College admissions is a competitive game. Few schools are as competitive as Yale University. Located in New Haven, CT, Yale College's most recent acceptance rate was in the low single digits. This raises two questions: How many applicants will be admitted going forward? What does it take to get into Yale?

This starter data set is a compilation of data made public by Yale's Office of Institutional Research. While the data are well suited to answering the first of our two research questions, additional variables are required to offer a credible answer to the second. Additional data are, thus, welcome.

We know that students at elite universities tend to be from high-income families, and that graduates are more likely to end up in high-status or high-income jobs. But very little public data has been available on university admissions practices. This dataset, collected by Opportunity Insights, gives extensive detail on college application and admission rates for 139 colleges and universities across the United States, including data on the incomes of students. How do admissions practices vary by institution, and are wealthy students overrepresented?

Motivation

Education equality is one of the most contested topics in society today. It can be defined and explored in many ways, from accessible education to disabled/low-income/rural students to the cross-generational influence of doctorate degrees and tenure track positions. One aspect of equality is the institutions students attend. Consider the “Ivy Plus” universities, which are all eight Ivy League schools plus MIT, Stanford, Duke, and Chicago. Although less than half of one percent of Americans attend Ivy-Plus colleges, they account for more than 10% of Fortune 500 CEOs, a quarter of U.S. Senators, half of all Rhodes scholars, and three-fourths of Supreme Court justices appointed in the last half-century.

A 2023 study (Chetty et al, 2023) tried to understand how these elite institutions affect educational equality:

Do highly selective private colleges amplify the persistence of privilege across generations by taking students from high-income families and helping them obtain high-status, high-paying leadership positions? Conversely, to what extent could such colleges diversify the socioeconomic backgrounds of society’s leaders by changing their admissions policies?

To answer these questions, they assembled a dataset documenting the admission and attendance rate for 13 different income bins for 139 selective universities around the country. They were able to access and link not only student SAT/ACT scores and high school grades, but also parents’ income through their tax records, students’ post-college graduate school enrollment or employment (including earnings, employers, and occupations), and also for some selected colleges, their internal admission ratings for each student. This dataset covers students in the entering classes of 2010–2015, or roughly 2.4 million domestic students.

They found that children from families in the top 1% (by income) are more than twice as likely to attend an Ivy-Plus college as those from middle-class families with comparable SAT/ACT scores, and two-thirds of this gap can be attributed to higher admission rates with similar scores, with the remaining third due to the differences in rates of application and matriculation (enrollment conditional on admission). This is not a shocking conclusion, but we can further explore elite college admissions by socioeconomic status to understand the differences between elite private colleges and public flagships admission practices, and to reflect on the privilege we have here and to envision what a fairer higher education system could look like.

Data

The data has been aggregated by university and by parental income level, grouped into 13 income brackets. The income brackets are grouped by percentile relative to the US national income distribution, so for instance the 75.0 bin represents parents whose incomes are between the 70th and 80th percentile. The top two bins overlap: the 99.4 bin represents parents between the 99 and 99.9th percentiles, while the 99.5 bin represents parents in the top 1%.

Each row represents students’ admission and matriculation outcomes from one income bracket at a given university. There are 139 colleges covered in this dataset.

The variables include an array of different college-level-income-binned estimates for things including attendance rate (both raw and reweighted by SAT/ACT scores), application rate, and relative attendance rate conditional on application, also with respect to specific test score bands for each college and in/out-of state. Colleges are categorized into six tiers: Ivy Plus, other elite schools (public and private), highly selective public/private, and selective public/private, with selectivity generally in descending order. It also notes whether a college is public and/or flagship, where “flagship” means public flagship universities. Furthermore, they also report the relative application rate for each income bin within specific test bands, which are 50-point bands that had the most attendees in each school tier/category.

Several values are reported in “test-score-reweighted” form. These values control for SAT score: they are calculated separately for each SAT score value, then averaged with weights based on the distribution of SAT scores at the institution.

Note that since private schools typically don’t differentiate between in-...

A survey from 2024 found that around 38 percent of college students in the United States rated their general health as very good. This statistic presents the percentage of college students in the U.S. who rated their general health as excellent or very good as of fall 2024.

📘 College Student Placement Dataset

A realistic, large-scale synthetic dataset of 10,000 students designed to analyze factors affecting college placements.

📄 Dataset Description

This dataset simulates the academic and professional profiles of 10,000 college students, focusing on factors that influence placement outcomes. It includes features like IQ, academic performance, CGPA, internships, communication skills, and more.

The dataset is ideal for:

• Predictive modeling of placement outcomes
• Educational exercises in classification
• Feature importance analysis
• End-to-end machine learning projects

📊 Columns Description

🎯 Target Variable

• Placement: This is the binary classification target (Yes/No) that you can try to predict based on the other features.

🧠 Use Cases

• 📈 Classification Modeling (Logistic Regression, Decision Trees, Random Forest, etc.)
• 🔍 Exploratory Data Analysis (EDA)
• 🎯 Feature Engineering and Selection
• 🧪 Model Evaluation Practice
• 👩‍🏫 Academic Projects & Capstone Use

📦 Dataset Size

• Rows: 10,000
• Columns: 10
• File Format: .csv

📚 Context

This dataset was generated to resemble real-world data in academic institutions for research and machine learning use. While it is synthetic, the variables and relationships are crafted to mimic authentic trends observed in student placements.

📜 License

MIT

🔗 Source

Created using Python (NumPy, Pandas) with data logic designed for educational and ML experimentation purposes.

Data product is provided by ASL Marketing. It contains current college students who are attending colleges and universities nationwide. Connect with this market by: Class Year Field of Study Home/School address College Attending Ethnicity School Type Region Sports Conference Gender eSports Email

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.

New York City school level College Board SAT results for the graduating seniors of 2010. Records contain 2010 College-bound seniors mean SAT scores. Records with 5 or fewer students are suppressed (marked ‘s’). College-bound seniors are those students that complete the SAT Questionnaire when they register for the SAT and identify that they will graduate from high school in a specific year. For example, the 2010 college-bound seniors are those students that self-reported they would graduate in 2010. Students are not required to complete the SAT Questionnaire in order to register for the SAT. Students who do not indicate which year they will graduate from high school will not be included in any college-bound senior report. Students are linked to schools by identifying which school they attend when registering for a College Board exam. A student is only included in a school’s report if he/she self-reports being enrolled at that school. Data collected and processed by the College Board.

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

Vietnam University & College: Student data was reported at 2,118.500 Person th in 2015. This records a decrease from the previous number of 2,363.900 Person th for 2014. Vietnam University & College: Student data is updated yearly, averaging 1,131.022 Person th from Sep 1991 (Median) to 2015, with 25 observations. The data reached an all-time high of 2,363.900 Person th in 2014 and a record low of 106.900 Person th in 1991. Vietnam University & College: Student data remains active status in CEIC and is reported by General Statistics Office. The data is categorized under Global Database’s Vietnam – Table VN.G050: Education Statistics.

1. Student-teacher ratio in various colleges and universities.2. The data is the same as the "Teaching 5: Student-teacher ratio for day students - statistics by 'school'" on the public platform for college and university affairs information.

Of the U.S. college students surveyed in 2024, the majority agreed to some extent that student health and well-being was a priority at their college or university. This statistic shows the percentage of college students in the U.S. who agreed or disagreed that students' health and well-being is a priority at their institution as of fall 2024.

This statistic depicts total combined planned back-to-school and back-to-college spending in the United States from 2007 to 2024. In 2024, total combined back-to-school and back-to-college expenditure in the United States amounted to more than 125 billion U.S. dollars.

Historical Dataset of Early College is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2005-2023),Total Classroom Teachers Trends Over Years (2005-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2005-2023),American Indian Student Percentage Comparison Over Years (2013-2022),Asian Student Percentage Comparison Over Years (2007-2023),Hispanic Student Percentage Comparison Over Years (2005-2023),Black Student Percentage Comparison Over Years (2005-2023),White Student Percentage Comparison Over Years (2005-2023),Two or More Races Student Percentage Comparison Over Years (2013-2023),Diversity Score Comparison Over Years (2005-2023),Free Lunch Eligibility Comparison Over Years (2006-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2006-2023),Reading and Language Arts Proficiency Comparison Over Years (2011-2022),Math Proficiency Comparison Over Years (2011-2022),Overall School Rank Trends Over Years (2011-2022),Graduation Rate Comparison Over Years (2012-2022)

This paper examines if students' college outcomes are sensitive to access to college admissions tests. I construct a dataset of every test center location and district policy in the United States linked to the universe of individual testing records and a large sample of college enrollment records. I find evidence that SAT taking is responsive to the opening or closing of a testing center at a student's own or a neighboring high school and to policies that provide free in-school administration and default registration. Newly induced takers of high academic aptitude appear likely to attend and graduate from college. (JEL H75, I23, I28)

This statistic shows the distribution of parental income of freshman college students at baccalaureate granting institutions in the United States in 2019. In 2019, 5.8 percent of incoming freshman college students estimated that their parent's income was less than 15,000 U.S. dollars.

Increase the percentage of high school graduates meeting college readiness benchmarks on the ACT and SAT from 56% in 2014 to 62% by 2017.

Of the U.S. college students surveyed in 2024, around 49 percent reported having had a flu vaccine within the last 12 months. This statistic shows the percentage of college students in the U.S. who received a vaccination against influenza in the last 12 months, as of fall 2024.