For the academic year of 2024/2025, the University of Oxford was ranked as the best university in the world, with an overall score of 98.5 according the Times Higher Education. The Massachusetts Institute of Technology and Harvard University followed behind. A high number of the leading universities in the world are located in the United States, with the ETH Zürich in Switzerland the highest ranked neither in the United Kingdom nor the U.S.

The top-ranked university in the United States in 2024 according to Forbes was Princeton University in New Jersey. Students at Princeton graduate with an average debt of 7,559 U.S. dollars, but have a median 10-year salary of 189,400 U.S. dollars. The Forbes rankings are based on several categories, including alumni salary, student debt, graduation rate, return on investment, retention rate, and academic success.

Statistics of foreign full-time faculty in all Taiwanese universities and colleges - by school, gender, and rank.

Overview:

This dataset provides a comprehensive overview of the QS World University Rankings for the year 2025, encompassing data on over 1,500 universities from 105 education systems worldwide. It includes institutional characteristics, regional classification, and a variety of performance indicators that reflect academic reputation, employability, sustainability, and internationalization.

Dataset Details:

The dataset includes institutional rankings for both 2025 and 2024, alongside scores and ranks for numerous metrics used to evaluate universities. These metrics offer insight into academic quality, research output, international engagement, and employment outcomes.

Schema and Column Descriptions:

Key Features:

• Extensive Coverage: Includes over 1,500 institutions from 105 countries.
• Multi-Dimensional: Covers a range of indicators such as research, teaching, employability, and internationalization.
• Comparative Insights: Provides year-over-year ranking data (2024 vs. 2025) for trend analysis.

Usage:

This dataset is suitable for: - Higher Education Analysis: Track university performance across global metrics. - Student Decision-Making: Support students choosing top-ranked institutions. - Policy & Strategy: Aid education policymakers and institutional strategists in benchmarking and improvement planning. - Data Visualization: Ideal for visual dashboards, maps, and interactive reports on global university performance.

Data Maintenance:

• Source: QS Top Universities Ranking
• Last Updated: 2025
• License: Educational and research purposes (refer to source terms)

This statistic shows the share of private four-year colleges and universities ranking an event type for marketing and recruitment as effective in the United States in 2018. In 2018, 99 percent of private four-year colleges and universities ranked campus open-house events as effective for recruitment and marketing.

This scatter chart displays ranking against undergraduate students (people) in Manhattan. The data is about universities.

This scatter chart displays undergraduate students (people) against ranking in New York. The data is about universities.

This scatter chart displays undergraduate students (people) against ranking in Stanford. The data is about universities.

The Institutional Data Archive on American Higher Education (IDA) contains academic data on 384 four-year colleges and universities in the United States. The IDA is one of two databases produced by the Colleges and Universities 2000 project based at the University of California, Riverside. This release, the third compilation of the IDA, is updated through academic year 2010-2011, and includes longitudinal and cross-sectional data from multiple sources. The collection is organized into nine datasets based on the unit of analysis and whether identifiers linking the data to particular institutions are present; seven of the datasets can be linked by a common identifier variable (PROJ_ID), and two cannot be linked due to confidentiality agreements. The seven identifiable datasets contain information on institutions, university systems, programs and academic departments, earned degrees, graduate schools, medical schools, and institutional academic rankings over time. Data regarding student enrollments, average SAT and ACT scores, and tuition and fees has been recorded, as well as institutional information concerning libraries, research activity, revenue and expenditures, faculty salaries, and quality rankings for program faculty. The identifiable datasets also include census information for neighborhoods surrounding IDA colleges and universities. The two non-identifiable datasets contain confidential survey responses from IDA institution presidents, chancellors, provosts, and academic vice presidents; survey questions pertained to governance structures, institutional goals and achievements, and solicited opinions on current and future issues facing the respondent's institution and higher education in general.

A modified dataset ready for analysis (the modifications made and the source will be mentioned later) This dataset is related to the ranking of one thousand top universities in the world with fourteen columns and one thousand rows.

The columns are respectively : World Rank Institution Location National Rank Quality of Education Alumni Employment Quality of Faculty Research output Quality Publications Influence Citations Score Latitude Longitude

The main source of the dataset is: https://www.kaggle.com/datasets/alifarajnia/eighteen-nineteen-university-datasets

But its general flaws, including the following, have been fixed and are ready for analysis :

1. The error in the names of the two columns Quality of Education and Quality of Faculty has been fixed.
2. Missing and empty data in the two columns above have been corrected and filled with a maximum plus one in each column.
3. Also, all the data or cells (<1000) were modified and the number 1001 was placed in its place.
4. Tabp and data type has been changed from object to integer and float.
5. And at the end, two more columns have been added for better spatial analysis (including geographic locations).

As a result of the increased emphasis on mis- and over-use of p-values in scientific research and the rise in popularity of Bayesian statistics, Bayesian education is becoming more important at the undergraduate level. With the advances in computing tools, Bayesian statistics is also becoming more accessible for undergraduates. This study focuses on analyzing Bayesian courses for undergraduates. We explored whether an undergraduate Bayesian course is offered in our sample of 152 high-ranking research universities and liberal arts colleges. For each identified Bayesian course, we examined how it fits into the institution’s undergraduate curricula, such as majors and prerequisites. Through a series of course syllabi analyses, we explored the topics covered and their popularity in these courses, and the adopted teaching and learning tools, such as software. This article presents our findings on the current practices of teaching full Bayesian courses at the undergraduate level. Based on our findings, we provide recommendations for programs that may consider offering Bayesian courses to their students.

The dataset contains ranking-and-academic-year-, state-, and university/institute-wise compiled data on the total sanctioned capacity of student admissions in different post and under graducate programmes of study in India, as per the National Institutional Ranking Framework (NIRF) data.

This scatter chart displays ranking against undergraduate students (people) in Stanford. The data is about universities.

This scatter chart displays ranking against undergraduate students (people) in College Park. The data is about universities.

Historical Dataset of Good Schools For All Leadership Academy is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2005-2007),Distribution of Students By Grade Trends,Black Student Percentage Comparison Over Years (2005-2007),Free Lunch Eligibility Comparison Over Years (2005-2007),Reduced-Price Lunch Eligibility Comparison Over Years (2005-2007)

Harvard University was the top-ranked university in the world in 2024 with a score of 100 according to the Shanghai Ranking Consultancy group. Out of the top 30 ranked universities, the United States had 19 different universities on the list. An American legacy Harvard University is by far the most prestigious university in the United States. Founded in 1636, it is the country’s oldest institution of higher learning. Harvard is a member of the Ivy League, which is a group of eight private colleges in the Northeastern United States. Ivy League colleges are known in the U.S. for being highly selective while providing top education. The top of the top Out of thousands of higher education institutions in the United States, Harvard is even more exceptional for producing both the most presidents and the most billionaires. Attending college is typically seen as giving attendees a leg up in society, although the high cost of attendance can sometimes negate this effect.

Data on the top universities for Business and Economics in 2025, including disciplines such as Accounting and Finance, Business Management, and Economics.

This statistic shows a ranking of the leading 50 colleges in the United States, based on the SAT scores needed for admission in the 2012-2013 academic year. In 2012-2013, the SAT score based on the 25th percentile for admission to Harvard stood at 2120.

Context

The Open Data 500, funded by the John S. and James L. Knight Foundation (http://www.knightfoundation.org/) and conducted by the GovLab, is the first comprehensive study of U.S. companies that use open government data to generate new business and develop new products and services.

Study Goals

• Provide a basis for assessing the economic value of government open data

• Encourage the development of new open data companies

• Foster a dialogue between government and business on how government data can be made more useful

The Govlab's Approach

The Open Data 500 study is conducted by the GovLab at New York University with funding from the John S. and James L. Knight Foundation. The GovLab works to improve people’s lives by changing how we govern, using technology-enabled solutions and a collaborative, networked approach. As part of its mission, the GovLab studies how institutions can publish the data they collect as open data so that businesses, organizations, and citizens can analyze and use this information.

Company Identification

The Open Data 500 team has compiled our list of companies through (1) outreach campaigns, (2) advice from experts and professional organizations, and (3) additional research.

Outreach Campaign

• Mass email to over 3,000 contacts in the GovLab network

• Mass email to over 2,000 contacts OpenDataNow.com

• Blog posts on TheGovLab.org and OpenDataNow.com

• Social media recommendations

• Media coverage of the Open Data 500

• Attending presentations and conferences

Expert Advice

• Recommendations from government and non-governmental organizations

• Guidance and feedback from Open Data 500 advisors

Research

• Companies identified for the book, Open Data Now

• Companies using datasets from Data.gov

• Directory of open data companies developed by Deloitte

• Online Open Data Userbase created by Socrata

• General research from publicly available sources

What The Study Is Not

The Open Data 500 is not a rating or ranking of companies. It covers companies of different sizes and categories, using various kinds of data.

The Open Data 500 is not a competition, but an attempt to give a broad, inclusive view of the field.

The Open Data 500 study also does not provide a random sample for definitive statistical analysis. Since this is the first thorough scan of companies in the field, it is not yet possible to determine the exact landscape of open data companies.

Graph and download economic data for Market Hotness: Hotness Rank in State College, PA (CBSA) (HORAMMMSA44300) from Aug 2017 to May 2025 about State College, rank, PA, and USA.