Skip to main content

Looking at Student Loan Default Rates

Student Loan defaults make a lot of news, but there is not a lot of understanding about what a default actually is, and there is not good, easily accessible data on default rates, nor a lot of good contextual analysis.  But this may help a little.

First, the source of the data is here.  You should read it, especially  the part about small numbers of students entering payment, or small percentages of students taking loans at a college skewing default rates.  You should also know that the definition of a default is being at least 270 days behind on a payment.

This is not the easiest data to work with.  For one thing, the file layout descriptions don't match the file; Financial Aid uses a different ID than IPEDS, and the crosswalk tables that might help you figure out the IPEDS ID (to get a richer view of context) use a different format than this table does. In addition the "Region" doesn't roll up the states in any way I've seen before, and the "Program Type" also puts colleges in categories that don't always make sense.  For most four-year institutions, try "Traditional" first in the selector box.

But here it is.

If you want to eliminate the small schools that skew things, you can use the "Borrowers Entering Repayment 2009--11" filter.  You can just type the ranges in the boxes and hit enter, or use the sliders.  You can also limit to states or region, in any combination.

A reminder that outputs are sometimes actually inputs.  If you enroll high ability, wealthy students, and are very selective in admissions, your default rates are going to be lower than other institutions that take more chances on students who come from low-income or less-prepared backgrounds.  It would be great if there were a way to recognize the institutions with lower default rates who took more risks.

What jumps out at you?



Comments

Popular posts from this blog

Educational Attainment and the Presidential Elections

I've been fascinated for a while by the connection between political leanings and education: The correlation is so strong that I once suggested that perhaps Republicans were so anti-education because, in general, places with a higher percentage of bachelor's degree recipients were more likely to vote for Democrats. The 2024 presidential election puzzled a lot of us in higher education, and perhaps these charts will show you why: We work and probably hang around mostly people with college degrees (or higher).  Our perception is limited. With the 2024 election data just out , I thought I'd take a look at the last three elections and see if the pattern I noticed in 2016 and 2020 held.  Spoiler: It did, mostly. Before you dive into this, a couple of tips: Alaska's data is always reported in a funky way, so just ignore it here.  It's a small state (in population, that is) and it's very red.  It doesn't change the overall trends even if I could figure out how to c...

First-year student (freshman) migration, 2022

A new approach to freshman migration, which is always a popular post on Higher Ed Data Stories. If you're a regular reader, you can go right to the visualization and start interacting with it.  And I can't stress enough: You need to use the controls and click away to get the most from these visualizations. If you're new, this post focuses on one of the most interesting data elements in IPEDS: The geographic origins of first-year (freshman) students over time.  My data set includes institutions in the 50 states and DC.  It includes four-year public and four-year, private not-for-profits that participate in Title IV programs; and it includes traditional institutions using the Carnegie classification (Doctoral, Masters, Baccalaureate, and Special Focus Schools in business, engineering, and art/design. Data from other institutions is noisy and often unreliable, or (in the case of colleges in Puerto Rico, American Samoa, and other territories, often shows close to 100% of enro...

Diversity in the First-year Class at the Ivy Plus Institutions

 I'm not sure where to begin on this one, so let's veer off topic a bit.   I've decided I'll likely be phasing out Higher Ed Data Stories in the near future as I go into retirement and start  my new venture , which is soft launched but not officially open for business.  When I do, I'll be posting regularly on  my blog over there , but won't be putting everything out on the web for free, as I've been doing on this site.  I do appreciate the contributions people made on the Buy Me Coffee site, but the hosting, software, and labor costs never balanced with the revenue, and while there was a lot of good will that came from my work, I was still in a deficit situation (especially on the time part) and I'll need to dedicate that to the business side of things.  Medicare Parts B and D ain't free, you know. But this is some unfinished business, and it might be a good place to end.  You know I've been personally opposed to the very idea of the SAT and ...