America’s outstanding student loan debt reached $1.52 trillion in the first quarter of 2018, according to information from the New York Fed. Have you ever wondered whether a significant amount of that debt is located in your city – or even in your zip code? Wonder no more.
The Mapping Student Debt Project at the Washington Center for Equitable Growth used extensive data from Experian and the annual American Community Survey conducted by the U.S. Census Bureau to create a color-coded interactive student loan debt map. Map filters allow you to display color-coded average student loan balances, delinquency rates, and median incomes for more than 41,000 zip codes in America.
You can hover the cursor over a particular zip code to find information on the average student loan balance and delinquency rate for that zip code, as well as the median income. Racial demographics may also be included. If you prefer, you can type in your zip code or city and the map will zoom in on your designated area.
What’s the value in such a map? By comparing all three factors (loan balances, delinquency, and income), researchers can distill useful relationships from the data.
You may think that higher student loan balances lead to higher delinquency rates, but the data shows that lower median income is a far greater factor. Higher loan balances correlate more to high median incomes – suggesting that debtors with higher balances used their degrees to acquire higher-paying jobs that make repayment easier. (Think of doctors and lawyers, professions that have high educational costs but great returns on investment.)
By the same logic, the data shows lower-income areas are more prone to delinquencies even though loan balances are often lower as well.
Discrepancies tend to stand out in metropolitan areas as affluent zip codes mix with less affluent ones. The map of Washington, DC provides a clear example. Zip codes with relatively low loan balances mirror the areas with low median incomes and clearly stand out as high delinquency areas on the delinquency map.
Rural areas generally follow the same rules, but smaller populations can skew the data. For example, the category of “astronomical” loan balances – constituting anywhere from 100% to a staggering 724% of the average loan balance – is often found in rural zip codes such as 67862 in far southwestern Kansas, 89412 in the northwestern corner of Nevada, and 59025 on the Montana/Wyoming border.
All three zip codes also have high or extremely high delinquency rates – possibly the result of a few large and delinquent student loans in a small population.
Similarly, the West has a scattering of extremely high median incomes in sparsely populated counties – likely due to large ranches that cover a large portion of the county.
Overall, the data shows that student loan burdens are spread across all income levels, but the percentage of gross income consumed by student debt ranges from approximately 2% in the high-income areas to 7% in areas with median incomes of $20,000. That shouldn’t be surprising – but what it does suggest is that too many residents of low-income areas did not receive significant value for the lower amounts they borrowed. Either they didn’t graduate or couldn’t parlay their degree into a suitable paying job.
Anomalies aside, the Mapping Student Debt project provides useful information that can help policymakers devise innovative ways to address student loan debt. In addition, it can let you know if you’re keeping up with your neighbors when it comes to student debt.