Skip to main content

Medical School Admissions Data

This is pretty interesting, I think, mostly for the patterns you don't see.

This is data on medical school admission in the US; some of it is compiled for a single year, and some for two years (which is OK because this data appears to be pretty stable over time.)

Tab 1 is not interactive, but does show applications, admits, and admit data on grids defined by GPA and MCAT scores.  Darker colors show higher numbers (that is, more counts, or higher admit rates.)  While we cannot get a sense of all takers like we do with other standardized tests, this does perhaps show some strong correlation between college GPA and MCAT scores (of course, another explanation may be that students self-select out, which then makes me wonder about that one student with less than a 2.0 GPA and less than a 486 Total MCAT score who applied, was admitted, and then enrolled.

The second and third tabs show applicants by undergraduate major, and ethnicity, respectively.  Choose a value at upper right (Total MCAT, or Science GPA, or Total GPA, for instance), and then compare that value for all applicants and all enrolling students on the bars; gold is applicants, and purple is enrollers.  The label only shows the value for the longer bar; hover on the other for details.

I was frankly surprised by some of these results.  How about you?

Reminder: I appreciate support for webhosting and other costs associated with creating Higher Ed Data Stories.  You can support these efforts here.


Comments

Popular posts from this blog

The Highly Rejective Colleges

If you're not following Akil Bello on Twitter, you should be.  His timeline is filled with great insights about standardized testing, and he takes great effort to point out racism (both subtle and not-so-subtle) in higher education, all while throwing in references to the Knicks and his daughter Enid, making the experience interesting, compelling, and sometimes, fun. Recently, he created the term " highly rejective colleges " as a more apt description for what are otherwise called "highly selective colleges."  As I've said before, a college that admits 15% of applicants really has a rejections office, not an admissions office.  The term appears to have taken off on Twitter, and I hope it will stick. So I took a look at the highly rejectives (really, that's all I'm going to call them from now on) and found some interesting patterns in the data. Take a look:  The 1,132 four-year, private colleges and universities with admissions data in IPEDS are incl

Freshman Migration, 1986 to 2020

(Note: I discovered that in IPEDS, Penn State Main Campus now reports with "The Pennsylvania State University" as one system.  So when you'd look at things over time, Penn State would have data until 2018, and then The Penn....etc would show up in 2020.  I found out Penn State main campus still reports its own data on the website, so I went there, and edited the IPEDS data by hand.  So if you noticed that error, it should be corrected now, but I'm not sure what I'll do in years going forward.) Freshman migration to and from the states is always a favorite visualization of mine, both because I find it a compelling and interesting topic, and because I had a few breakthroughs with calculated variables the first time I tried to do it. If you're a loyal reader, you know what this shows: The number of freshman and their movement between the states.  And if you're a loyal viewer and you use this for your work in your business, please consider supporting the costs

Yes, your yield rate is still falling, v 2020

I started doing this post on a regular basis several years ago, in response (if I recall) to a colleague talking about their Board of Trustees Chair insisting that "all we need to do" to bring enrollment back to its former level is to get the yield rate up.   That's the equivalent of saying all you need to do is straighten your drives and cut ten putts from each round, and you'll be a great golfer.  Moreover, it's based on the assumption that a falling yield rate is based on something you're doing or not doing.  The challenge is much larger, and a lot harder to address.  It's not a switch you flip. So we've got this: A look at applications, admits, and enrolls over the last twenty years, and three key ratios that are based on those numbers: Admit rate, or the percentage of applicants offered admission; yield rate, or the percentage of those offered admission who enroll; and the lesser-known draw rate, which is calculated by dividing the yield rate by t