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Historical Yale Undergraduate Admissions Statistics
Education & Learning Analytics
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About
Admissions statistics for Yale College spanning the period from 1986 through 2022. This collection provides data compiled and made public by Yale's Office of Institutional Research, detailing the competitive nature of securing a place at the institution. The data is helpful for answering questions regarding long-term trends in admissions volume and how many applicants might be accepted in subsequent years. The significance of the data highlights the increasing selectivity of Yale College, where recent acceptance rates have fallen into the low single digits.
Columns
The file contains 31 variables, capturing detailed annual statistics on admissions and student quality indicators. Notable columns include:
- Year Entered/Freshman Year: The year the freshman class entered Yale College.
- Applications: The total volume of applications received by the university each year.
- Admits: The total number of applicants offered admission.
- AdmitRate: The calculated acceptance rate for the given year.
- Matriculant: The number of admitted students who chose to enroll.
- Yield: The percentage of admitted students who matriculated.
- SAT Scores: Detailed percentile scores (10th, 25th, 50th, 75th, 90th) for the Verbal, Math, and combined SAT sections.
- LegacyCount: The count of admitted applicants classified as legacy students.
- Geographic Admits: Specific counts for admitted students from distinct geographic regions, including New Haven, New England, New York State (excluding NYC), East and West of the Mississippi River, and International (U.S. Possessions/Foreign) applicants.
- Total: The overall number of admits.
Distribution
The dataset is structured as a CSV file titled YaleAdmits.csv, with a file size of approximately 5.57 kB. It contains 37 records, representing each year between 1986 and 2022, across 31 fields. All primary fields are reported as valid with no missing values.
Usage
This data is highly suitable for academic research into trends in elite higher education selectivity and the changing profile of admitted students based on test scores. It can be used by analysts and prospective students to model the volatility of acceptance rates over time. Educational consultants may use it to benchmark competitive scores and application volume changes over the past three decades. Data scientists can employ this data for time-series forecasting relating to application behaviour and institutional yield rates.
Coverage
The geographical scope is centred on Yale College in New Haven, Connecticut. The time series extends from 1986 through to 2022. Geographic coverage for admits is divided regionally, including domestic regions like New England and East/West of the Mississippi River, alongside specific counts for international students. The data focuses on aggregated admissions counts and standardised test scores (SAT percentiles) rather than fine-grained demographic breakdowns of the student body.
License
Attribution-NonCommercial-ShareAlike 3.0 IGO (CC BY-NC-SA 3.0 IGO)
Who Can Use It
- Policy Analysts: To study the impact of policy changes on university applications and institutional selectivity.
- Journalists: For reporting on historical shifts in college competitiveness in the United States.
- Students: To determine the historical ranges of SAT scores corresponding to successful applicants.
- Economists: For economic modelling related to the value and perceived scarcity of elite education spots.
Dataset Name Suggestions
- Yale College Annual Admissions Trends 1986-2022
- Historical Yale Undergraduate Admissions Statistics
- US Elite University Admissions Data: Yale 1986-2022
Attributes
Original Data Source: Historical Yale Undergraduate Admissions Statistics
QUALITY