Dark Mode
World University Performance Data
Education & Learning Analytics
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset presents a detailed collection of QS World University Rankings from 2017 to 2022, offering insight into leading academic institutions worldwide. The QS ranking, an annual publication by Quacquarelli Symonds, is widely recognised and approved by the International Ranking Expert Group (IREG), making it one of the most-read university rankings globally. It is published in partnership with Elsevier. This dataset enables users to explore and analyse the performance and characteristics of top universities over a significant five-year period.
Columns
- university: The name of the academic institution. Over 1,300 unique universities are included.
- year: The specific year of the university ranking, ranging from 2017 to 2022.
- rank_display: The ranking position assigned to the university in a given year.
- score: The overall score attained by the university, based on a set of key metrics. Scores range from 23.5 to a perfect 100.
- link: A direct URL to the university's detailed profile page on the official QS website.
- country: The nation where the university is geographically situated. The dataset features 97 unique countries, with the United States and the United Kingdom being the most frequently represented.
- city: The urban location of the university.
- region: The continent where the university is located, encompassing 6 distinct regions such as Europe and Asia.
- logo: A URL linking to the university's official logo image.
- type: Indicates whether the university operates as a public or private institution, with public universities forming the majority.
- research_output: An assessment of the university's research quality, primarily categorised as 'Very High' or 'High'.
- student_faculty_ratio: The ratio indicating the number of students assigned per faculty member, typically ranging from 1 to 67.
- international_students: The total count of international students enrolled at the university.
- size: Describes the university's physical size in terms of area, with categories such as 'L' and 'XL'.
- faculty_count: The total number of faculty or academic staff employed by the university.
Distribution
This dataset is provided in a CSV format (
qs-world-university-rankings-2017-to-2022-V2.csv) and is approximately 1.84 MB in size. It comprises 15 distinct features (columns) across a total of 6,482 records, detailing university data from 2017 through to 2022.Usage
This dataset is ideal for a variety of analytical and research applications, including:
- Identifying key characteristics that define top-ranked universities.
- Analysing the influence of university location (country, city, region) on its global ranking.
- Exploring commonalities among leading academic institutions.
- Assessing the significance of academic research output in university rankings.
- Investigating country preferences among international students.
- General data visualisation and exploratory data analysis for educational insights.
Coverage
The dataset spans the academic years from 2017 to 2022, providing a time-series view of university performance. Geographically, it covers universities located in 97 unique countries and 6 major global regions. It includes details on university type (public/private), research output quality, student-faculty ratios, and international student enrolment, offering broad insights into global higher education.
License
CC0: Public Domain
Who Can Use It
This dataset is suitable for a wide range of users, including:
- Students and academics conducting research on global higher education trends.
- Data analysts and scientists interested in applying data visualisation and statistical analysis techniques to educational data.
- Educational consultants and institutions looking for insights into university performance and attributes.
- Prospective students and their families evaluating university options based on rankings and other key metrics.
Dataset Name Suggestions
- QS Global University Rankings 2017-2022
- World University Performance Data
- Academic Excellence Metrics 2017-2022
- Higher Education Global Rankings
Attributes
Original Data Source: World University Performance Data
QUALITY