How Much Student Debt Does Each State Hold?
Education may be priceless, but the costs of obtaining it are becoming steeper by the day.
Almost half of all university-educated Americans rely on loans to pay for their higher education, with very few graduating debt-free. Total U.S. student debt has more than doubled in the last decade—reaching a record high of $1.5 trillion today.
Today’s data visualization from HowMuch.net breaks down the average student debt per capita, to uncover which states shoulder the highest burden in this growing crisis.
Students are Paying Through the Nose
Before diving into the graphic, let’s take a quick look at why student debt is racking up. The ballooning costs to attend college today compared to thirty years ago is one driving factor.
Source: The College Board 2018 report.
What’s more, these figures don’t include the expenses for accommodation and other supplies, which can add another $15,000-$17,000 per year.
The United States of Student Debt
In the state map above, it’s immediately obvious that Washington D.C. tops the list. While the nation’s capital is the most educated metropolitan area in the country, it also suffers from $13,320 in student debt per capita.
At approximately 147% above than the national average of $5,390, Washington D.C.’s debt burden per capita is almost double that of the state in second place. Georgia comes in with $7,250 debt per capita, 34.5% above the national average.
|State||Student Debt per Capita||Difference from Average|
|District Of Columbia||$13,320||147.1%|
Rounding out the five states with the most student debt per capita are Maryland, Minnesota, and Ohio, in that order. On the flip side, Wyoming has the least debt per capita ($3,610), which is 33.0% lower than the national average. Hawaii follows right behind at $3,780, and 29.9% below the national average.
Interestingly, a growing population on the West Coast helps to lower the debt burden for states like California, even despite the strong presence of prestigious schools. Home to Stanford, USC, UCLA, CalTech, and more, the Golden State surprisingly only has $4,530 in debt per capita.
The Last Straw?
Today’s Americans are more educated than ever before, but the sticker shock is causing some whiplash. This overall trend of spiraling student debt has significant implications on a person’s life trajectory. With many graduates unable to repay their loans on time, more of them are delaying major life milestones, such as starting a family or becoming a homeowner.
In efforts to curb this crisis, many 2020 presidential hopefuls have already started proposing plans to cancel or forgive student debt—with close attention on mid- to low-income households that would benefit the most from reduced loans.
Visualizing the Evolution of Consumer Credit
See how consumer credit has evolved through the ages — from its ancient origins, to the use of game-changing technologies like artificial intelligence.
The origin of credit dates all the way back to ancient civilizations.
The Sumerians and later the Babylonians both used consumer loans in their societies, primarily for agricultural purposes. The latter civilization even had rules about maximum lending rates engraved in the famous Code of Hammurabi.
But since then, consumer credit — and how we calculate creditworthiness — has gotten increasingly sophisticated. This is so much the case that technology now used in modern credit scoring would seem completely alien to people living just a few decades ago.
Video: Consumer Credit Through the Ages
Today’s motion graphic video is powered by Equifax, and it shows the evolution of consumer credit over the last 5,000 years.
The video highlights how consumer credit has worked both in the past and in the present. It also dives into the technologies that will be shaping the future of credit, including artificial intelligence and the blockchain.
A Brief History of Credit
We previously visualized the 5,000-year history of consumer credit, and how it dramatically changed over many centuries and societies.
What may have started as agricultural loans in Sumer and Babylon eventually became more ingrained in Ancient Roman society. In the year 50 B.C., for example, Cicero documented a transaction that occurred, and wrote “nomina facit, negotium conficit” — or, “he uses credit to complete the purchase”.
Modern consumer credit itself was born in England in 1803, when a group of English tailors came together to swap information on customers that failed to settle their debts. Eventually, extensive credit lists of customers started being compiled, with lending really booming in the 20th century as consumers started buying big ticket items like cars and appliances.
Later, the innovation of credit cards came about, and in the 1980s, modern credit scoring was introduced.
The Present and Future of Credit
The modern numeric credit score came about in 1989, and it uses logistic regression to assess five categories related to a consumer’s creditworthiness: payment history, debt burden, length of credit history, types of credit used, and new credit requests.
However, in the current era of big data and emerging technologies, companies are now finding new ways to advance credit models — and how these change will affect how consumers get credit in the future.
Consumer credit is already changing thanks to new methods such as trended data and alternative data. These both look at the bigger picture beyond traditional scoring, pulling in new data sources and using predictive methods to more accurately encapsulate creditworthiness.
In general, the future of credit will be shaped by five forces:
- Growing amounts of data
- A changing regulatory landscape
- Game-changing technologies
- Focus on identity
- The fintech boom
Through these forces, new credit models will integrate artificial intelligence, neural networks, big data, and more complex statistical methods. In short, credit patterns can be more accurately predicted using mountains of data and new technologies.
Finally, the credit landscape is set to shift in other ways, as well.
Regulatory forces are pushing data to be standardized and controlled directly by consumers, enabling a range of new fintech applications to benefit consumers. Meanwhile, the industry itself will be focusing in on identity to build trust and limit fraud, using technologies such as biometrics and blockchain to prove a borrower’s identity.
Mapped: The Countries With the Highest Housing Bubble Risks
Which real estate markets have the highest risk of seeing a correction? These maps highlight housing bubble risks using data from four key indicators.
Mapped: Countries With the Highest Housing Bubble Risks
With a decade-long bull market and an ultra low interest rate environment globally, it’s not surprising to see capital flock to housing assets.
For many investors, real estate is considered as good of a place as any to park money—but what happens when things get a little too frothy, and the fundamentals begin to slip away?
In recent years, experts have been closely watching several indicators that point to rising bubble risks in some housing markets. Further, they are also warning that countries like Canada and New Zealand may be overdue for a correction in housing prices.
Key Housing Market Indicators
Earlier this week, Bloomberg published results from a new study by economist Niraj Shah as he aimed to build a housing bubble dashboard.
It tracks four key metrics:
- House Price-Rent Ratio
The ratio of house prices to the annualized cost of rent
- House Price-Income Ratio
The ratio of house prices to household income
- Real House Prices
Housing prices adjusted for inflation
- Credit to Households (% of GDP)
Amount of debt held by households, compared to total economic output
Ranking high on just one of these metrics is a warning sign for a country’s housing market, while ranking high on multiple measures signals even greater fragility.
Housing Bubble Risks, by Indicator
Let’s look at each bubble risk indicator, and see how they apply to the 22 countries covered by the housing dashboard.
It should be noted that most of the measures here are shown in an index form, using the year 2015 as a base year. In other words, the data is not representative of the ratio itself—but instead, how much the ratio has risen or fallen since 2015.
1. House Price-Rent Ratio
When looking at housing prices in comparison to rents, there are four countries that stand out.
New Zealand (196.8) and Canada (195.9) have seen ratios of housing prices to rents nearly double since 2015. Meanwhile, Sweden (172.8) and Norway (168.2) are not far behind.
Elsewhere in the world, this ratio is much more in line with expectations. For example, in Portugal—where house prices have skyrocketed over recent years—rents have increased at nearly the same rate, giving the country a 99.2 score.
2. House Price-Income Ratio
There are three familiar names at the top of this bubble indicator: New Zealand (156.8), Canada (155.3), and Sweden (145.7).
In places where rents are lagging housing prices, so are the levels of household income. For how long will people afford to buy increasingly expensive houses, if their incomes continue to lag?
3. Real House Prices
Real house prices have increased in all of the 22 markets, with the exception of Italy (95.5).
For this indicator, there are five markets that stand out as having fast-rising prices: Portugal (131.8), Ireland (127.6), Netherlands (121.9), Canada (124.1), and New Zealand (121.9). The latter two (Canada/New Zealand) have appeared near the top of all three bubble indicators, so far.
4. Credit to Households (% of GDP)
Exceedingly high debt ratios point to a strain on consumer finances – and when finances are strained, the chance of a default increases.
Switzerland (128.7%), Australia (120.3%), and Denmark (115.4%) top the list here with consumer debt far exceeding country GDP levels. However, Canada still makes an appearance in the top five with a debt-to-GDP ratio of 100.7%.
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