bubble

Is There A Student Loan Bubble? - Part II

Part I of my exploration of the current state of the student loan market basically established the groundwork. Key takeaways are that the majority of federal student loans are now Direct Loans (which are lent by the federal government itself and carry interest rates in the 5%-7.6% range) and that while debt is spread across several types of schools, public schools contain the most borrowers by far and private schools have the highest average balance. None of these facts really come across as shocking, but they do provide us the context to look at some of the more interesting statistics that will be shown in this post.

As I said last time, the goal of this project is to ask, “What level of worry should we have regarding the state of the student loan market?” Obviously the market is large, and undoubtedly the growth of student loan portfolios has become a heavy burden for many students. But are we in a bubble that’s about to pop, are we in a dangerous situation that still has time to be fixed, or are we just witnessing the natural growth of what will become a central loan market in the United States? The next financial crisis, a paradigm shift, or something else? With Part II of this project I hope to shine some light on the answers to that question.

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Note: Totals represent the value at the end of Q4 for each respective year (Sep. 30) except for 2018, in which data is currently available up to end of Q2 (Mar. 30). 2018 numbers can be expected to be somewhat larger by end of Q4 2018.

One key component toward reaching a (hopefully) somewhat accurate prediction is to simply look at growth of total student loan balances. Again using federal data, we see a depiction of a clearly surging market. Since 2007, the total outstanding balance of federal student loans has increased from $516 billion to over $1.4 trillion. This represents a 173% cumulative growth of student loan balances from 2007 to (the data we have so far on) 2018. However, we actually see that loan growth has slowed down relatively in recent years, with yearly growth around half what it was a decade ago. One likely explanation for this is improved economic conditions. Household wealth and income were severely diminished not only during the financial crisis but for several years afterward (and arguably still are) as recovery remained sluggish. The housing bust also served to drastically impact household wealth as home prices plummeted and many Americans experienced foreclosure. While some of these effects are still ongoing, such as housing prices remaining depressed in many regions, economic conditions in 2018 are certainly much improved for the majority of Americans. Unemployment is at a historical floor and household income is the highest it has ever been. Thus we see a slowdown in the student loan market as less financing is required to pay for tuition.

Still, overall economic health is not the only determining factor of loan generation, and especially in the case of student loans there is much more at play. As discussed before, rising costs of tuition and number of college attendees are just two of the most basic aspects. Another way we can look at student loans is also by recipients rather than balances.

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As expected we again see substantial growth in the market. Compared to balances, however, the growth in borrowers is not quite as dramatic. Since 2007, the number of borrowers has increased from 28.3 million to 42.6 million, a 51% total increase. Perhaps the growth doesn’t seem as impressive, but the fact that about 42.6 million people currently hold at least some student loans should be an eyebrow-raiser. Similar to the previous chart, we see a slowdown in growth, with growth rates even less than half of the Great Recession rates. We only have 1% growth in 2018, but seeing as how we also only have data on the first half of 2018 we can expect that number to go up by end of the year. Still, the 2% growth rates of recent years is much lower than sensationalist news and fear-mongers may lead one to expect.

Put together, these two charts tell us several things. The growth of the student loan market has, in general, been marked and strong. It has also slowed in recent years. And possibly most interesting is that the average amount each recipient has borrowed has increased, as the growth of loan balances has outpaced the growth of borrowers. This is where I believe the primary concern with student loans should focus. Growth of student loans isn’t necessarily bad and certainly not economically fatal. But such a pronounced rise of average loan portfolios is a concern. While the collective weight of student loans has eased up relatively, individual portfolio sizes continue to grow. A greater loan burden also often results in higher delinquency rates, which no one wants.

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Here we have a chart of the total value of loan delinquencies, sorted by length of time delinquent, over time. Unfortunately, data was only available going back to 2013. In that period, we see a generally modest upward trend in every category of delinquency . The amount of student loans going unpaid, whether for a month or a year, has increased. We do see variation in the strength of that increase, with an inverse between length of delinquency and growth rate. We also see a downtick in the amounts for 2018, though again this may just be due to lack of complete data for the year or noise in the data. So clearly higher delinquency rates are bad. But a total increase in student loan balances can be expected to correlate with greater delinquency balances. A bigger pie is going to have bigger slices. While $30 billion sounds like a lot, it is only 2% of the $1.4 trillion outstanding total balance in 2018. The situation is not as dire as it may seem. Still, I see this as the main area of concern as high delinquency rates are the real warning sign for the market - something to be closely monitored. If/when another recession occurs, it would be expected that the ability of students and young adults to complete payments on their loans will become diminished. So while rates are relatively low now, the situation could quickly become worrisome given an economic downturn.

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For consistency and further context here is the chart of delinquency rates by borrower counts as well. The trends are in line with the balances chart above and we can draw basically the same information.

Conclusion

That concludes (for now) my first look into the current state of the student loan market. There are plenty more statistics equally relevant and significant to consider, but I think we have seen enough to draw some basic conclusions. Student loans have expanded to a formidable size that place it among the giants of the loan markets. By all measures the already large portfolios for students have blown up in the past decade. Yet at the same time, we see signs of stability. Delinquency rates have not grown proportionally with total balances, and overall growth has slowed down in the past few years. Safe to say the situation is not dire as it currently stands. We must be forward-looking however. As I noted above, the next recession has potential to cascade into a much more severe situation for those with student loans. Especially those who attended private schools and are now carrying $30,000+ balances, or those working jobs that have stagnant wages, or a multitude of other scenarios that exist in the current economy.

Since these loans are now completely government-owned, a financial crisis caused by student loans is unlikely. But a crisis or economic downturn originating elsewhere is directly tied to the student loan situation and can result in a negative feedback loop. How to resolve this is a question with many possible answers. Finding ways to lower tuition costs and cap tuition growth, providing additional financial aid and other support for students, or a variety of other solutions proposed and enacted may be the key. Some combination is likely the answer. Whether they will be implemented and how soon is another important question.

For fun, one more figure I created is the geographic disparity of student loans. As most people could guess, states like California and New York are at the top in student loan debt by total balance and total borrowers. They also have some of the largest populations and top colleges, so no surprise there. I thought it would be much more illuminating to examine how the average student loan balance differs from the national average balance by state.

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I’m not entirely sure why Colorado is one of the best and Georgia/Maryland one of the worst - it may have to do with state laws or likely other localized factors. Maybe it will be the subject of a future student loans post! I would also love to hear from any readers from these states or knowledgable about these states if they know why or have any of their own theories.

Final Notes

Other notes on overall data: Total may not be exactly equal to 100% or the sum of their parts due to rounding. Time-series data is by federal fiscal year which ends September 30. Data for 2018 is currently available for up to Q2 which ends March 30, 2018. “Recipient” refers to the receiver of the loan, most often the student but can also be the parent of said student.

Loan Delinquencies: Includes outstanding principal and interest balances of Direct Loan borrowers in the Repayment status as identified in Direct Loan Portfolio by Loan Status Report. While technical default is 271 days delinquent, default is defined as 361 days delinquent for reporting purposes to ensure consistency with Federal Family Education Loans (FFEL) reporting. Loans already transferred to DMCS are not included in this report.  Recipient counts are based at the loan level. As a result, recipients may be counted multiple times across varying loan statuses.

For more information on the differences between loan types and details on the terms of each, check out https://studentaid.ed.gov/sa/types/loans and https://studentaid.ed.gov/sa/sites/default/files/federal-loan-programs.pdf.

Data was collected from https://studentaid.ed.gov/sa/about/data-center/student/portfolio, cleaned and transformed in STATA, then visualized using ggplot2 in R.