The accepted pool, in fourteen views. Academics, backgrounds, and timing for the applicants in the dataset who were admitted, grouped into three sections.

Academic Profile

Overview

Average cGPA, sGPA, MCAT, and GRE with the response count behind each, plus the distribution of accepted applicants across score ranges.

Trends

How those averages have moved from one admissions cycle to the next.

Score Combinations

Which pairings of GPA and test score actually appear among accepted applicants, rather than each metric read on its own.

GPA Band Analysis

Accepted applicants grouped into GPA bands, so you can see the shape of the pool around your own.

Applicant Background

Six views covering who the accepted applicants were before they applied.

Major

The degrees accepted applicants came in with.

Experience

The shadowing, work, and volunteering hours they reported.

Employment

What share held a healthcare role, a non-healthcare role, both, or neither.

Residence

Where they applied from, and which schools took them, in state and out.

Undergraduate

The institutions they came from, and where those institutions send people.

Trends

How the background mix has shifted across cycles.

Admissions Timeline

Timing, Schools, Pathways, and Response Time. The response-time view breaks the wait into five separate measures rather than one number.

Time to verification

From submitting your CASAA application to CASAA verifying it.

Time to invite

From submitting to receiving an interview invitation.

Time to interview

From submitting to actually interviewing.

Time to decision

From interviewing to receiving the acceptance.

Total response time

From submitting to the acceptance, end to end.

Filtering

Every view can be read across all cycles at once or narrowed to a single cycle, which is how you tell a durable pattern from one unusual year.