Skip to main content

How will demographics change enrollment?

Ever since I started in admissions, people have been talking about demographics changes and challenges, and the chant continues.  The future, we're told, will look very different than the present.

Our trade paper, the Chronicle of Higher Education, ran an article about how this might affect higher education.  It included lots of interesting charts and graphs, but didn't allow me to look at the data in the ways I wanted to.  So I downloaded it and started looking at it using Tableau.

This is as much a testament to self-service BI as it is to the trends in the data.  I've often spoken about the 80/80 rule of business intelligence: 80% of what an analyst gives you, you don't need; 80% of what you want isn't in the report.  I spent a long time playing with and slicing this data to see if I could find a way to present it that makes sense, and that gives people what they want.  And every time I answered a question, I generated several more ("what if" can waste a lot of time.")

In the end, after several different views, I settled on the first one, below.  It's very simple, yet it gives you the flexibility find out most of what you need.

On the chance that you want or need something else, though, I kept the other views I had been experimenting with.

View 2: Maps and Details allows you to see the data mapped; once you filter to a region, you can see how states compare.

View 3: Changes with a State over Time looks at the same data four ways: Numbers, percent change, percent of total, and numeric change by ethnicity.

View 4: Counties Mapped allows you to select a state and see where concentrations of ethnicities live; choose a state, choose the ethnic group and age of the population, and see the results.

View 5: States and Counties shows ethnic percentages for every county, listed by state.

View 6: Counties shows all counties regardless of state.  Did you know there are 40 counties in the US where every 18-year old is white? Or that one county in South Dakota is 98% Native American?

Some notes about the data are on the CHE website.  Be sure to read them so you know what this shows and doesn't show.

Again, remember to interact.  You can't break anything.

And if the frame is not displaying the visualization correctly, you can go right to the original on the Tableau Public website.





Comments

Popular posts from this blog

Another 1000 Words and Ten Charts on First-generation, Low-income, and Minority Students

I have always enjoyed writing, and I consider this and my other blog like a hobby.  Usually, I spend no more than 45 minutes on any post, as I don't make my living by writing, and my blogs are not "monetized." But once in a while, an opportunity presents itself to write for a wider audience, and that's when I see what it takes to make a living putting words to paper. That happened this week.

You may have seen my opinion piece in the Chronicle of Higher Education. If not, you can read it first, read it last, or not at all; I think both this and that stand alone, despite their relationship.  In the end, we ended up with about 40% of my first draft, which is what happens when you write for a print publication. And of course, a print publication makes interactive charts, well, difficult.

I think there is more to say on the topic, because the similarities in recruitment challenges for first-generation, low-income, and minority students tend to look a lot alike, and the mo…

2018 Admissions Data

This is always a popular post, it seems, and I've had a couple of people already ask when it was going to be out.  Wait no more.

This is IPEDS 2018 admissions data, visualized for you in two different ways.  You can switch using the tabs across the top.

The first view is the universe of colleges and universities that report data; not every college is required to, and a few leave data out, and test optional colleges are not supposed to report test scores.  But IPEDS is not perfect, so if you find any problems, contact the college.

On the first view, you'll see 1,359 four-year private and public, not-for-profit institutions displayed.  In order to make this as clean as possible, I've taken out some specialty schools (nursing, business, engineering, etc.) as many of those don't have complete data.  But you can put them back in using the filter at top right.

Hover over any bar, and a little chart pops up showing undergraduate enrollment by ethnicity.

You can also choose to…

Yes, your yield rate is still falling

In 2015, I wrote this post on falling yield rates.  It was pretty obvious to many of us in the profession that this trend was widespread, and largely driven by a dramatic increase in applications against a more modest increase in actual students who could or would enroll.

It apparently wasn't so obvious to everyone.  Response was much stronger than I thought it would be, and I never had seen so many requests from people who wanted to share it with their trustees (btw, this is public; you never have to ask permission to share).

So I redid it, using trend data from 2005 to 2018.  First a couple of definitions:


Admit rate is the percentage of applicants who were offered admission (admits/applicants).Yield rate is the percentage of admitted students who enroll (enrollers/admits).Draw rate is not commonly known, and I wish I remember who first mentioned it to me in the 1980's.  It stuck with me and is a valuable metric, I think, as we attempt to measure market position.  It's Y…