5 Ways Data Analytics Helps Us Understand the Student Loan Crisis (2024)

Data analytics is giving us more insights into many of the most pressing challenges that we have faced as a society. More policymakers are using data to make more informed decisions.

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Big Data Helps Understand the Nature of the Student Loan CrisisAmounting to $1.58 Trillion Student Loan Was the Second-Largest Debt Component in the US in 2021Graduates Walk into The Workplace With an Average Student Debt of $37,113Since 1970, Student Debt at Graduation Increased by 2,807%In 2021, There Were 44.7 Million Americans With Outstanding Student Loan BalancesOn Average, Students Take Over 20 Years To Repay Their LoanGot Student Debt? Here’s How You Can Pay it Back FasterBig Data Helps Provide a Better Understanding of the Student Loan Crisis

Analytics Insight shared a list of 10 major ways that big data is changing politics. The biggest benefits relate to using big data to understand voters and create models of voting patterns in various districts. However, more politicians are also using data analytics to get deeper insights into some of the biggest concerns facing their constituents.

One of the biggest examples of policymakers using big data is to get a better understanding of the student loan crisis. This is just one of the many applications of data technology in education.

Big Data Helps Understand the Nature of the Student Loan Crisis

Student loans have helped millions of Americans access higher education and kick off their career. So, why are over three-quarters of students anxious about their current finances?

Coupled with higher interest rates and the whopping amount of student debt, the rising cost of education is taking a toll on students’ hopes for their financial futures. But what should today’s borrowers really expect?

Big data is helping us better understand the nature of this fiasco. Sarah Riley, a research economist with the University of North Carolina wrote an paper in 2020 titled Predictive Analytics for Reducing Student Loan Default. As the title suggests, it is geared towards using data analytics to anticipate the risk of a borrower defaulting on their student loans. The goal is for financial institutions to use big data to identify high risk borrowers and avoid giving loans that they will default on.

Riley’s paper addressed the use of applying big data to understand the student loan crisis at the individual level. However, there are ways to use big data to understand it from a microeconomic perspective instead.

Here is what the data is telling us about the growing student loan crisis – and how it can help solve it!

Amounting to $1.58 Trillion Student Loan Was the Second-Largest Debt Component in the US in 2021

At the end of 2021, American consumers reported a cumulative debt of over $15.24 trillion and that figure is growing each year. Most of this is due to mortgages, which account for $10.44 trillion. However, totaling $1.58 trillion, student loans represented the third-largest type of debt in the US, even before credit card and personal loan debts.

At the same time, credit card and student loan debt go hand-in-hand, and those borrowers who are highly educated are also the ones with higher-paying jobs, more expensive lifestyles, and higher credit card debt.

Big data technology is giving us real-time insights about the evolving nature of student loan debt. Policymakers will be able to anticipate future student loan debt levels with predictive analytics tools.

Graduates Walk into The Workplace With an Average Student Debt of $37,113

For many students, the first step into the workplace comes with an already-severe financial burden. Today’s students who have borrowed a federal student loan have an average of $37,113 in debt at graduation, while those who opt for a private lender have an average outstanding balance greater than $40,900.

This is an area where companies using data analytics can benefit as well. They can use data-driven insights to have a better understanding of the situation their customers are facing. Rather than rely solely on the national level student loan averages, they can use data analytics to nuance the data and estimate the data of their own employees based on whether they have a graduate degree, the schools they attended and years they graduated. This will help them come up with the best compensation packages.

Since 1970, Student Debt at Graduation Increased by 2,807%

Student loan debt has been constantly rising since the 70s, skyrocketing by 2,807% over the past 50 years. Even accounting for inflation, student debt has increased by 317% since 1970 and by 157% since the 2008’s Great Recession.

Thanks to the government-supported 0% interest rates introduced as a response to the Covid-19-related financial crisis, the student loan debt dipped slightly at the end of 2021 for the first time since its introduction in 1958.

Bigdata is also helping see how this figure will increase.

In 2021, There Were 44.7 Million Americans With Outstanding Student Loan Balances

Student loans might be the root of most students’ financial worries. However, in 2021, they have helped over 45 million American students access college and higher education. And, nearly 80 million US professionals have accessed a student loan at some point.

At the same time, nearly 62% of graduates carry student loan debt and over 42 million borrowers still deal with a federal student loan balance.

On Average, Students Take Over 20 Years To Repay Their Loan

Student loans provide value for many years – especially if they allow a student to pursue a high-paying, meaningful career. However, the average borrower can take 20 years to fully repay a graduate student loan. And, for professional graduates who opt to continue their education with a Master’s degree, the repayment period can be as long as 45 years!

While this can be instrumental in helping students access the right job opportunities, it can significantly compromise their ability to regain financial independence over time.

Got Student Debt? Here’s How You Can Pay it Back Faster

Student loans are extremely powerful tools, and, when used correctly, they can help young Americans access high-paying job positions and long-term financial wealth.

Nonetheless, for most households, it can be hard to keep at bay multiple types of debt, including mortgage, credit card balances, and personal loans. That is why your focus should be on paying back your student loan.

Tools such as consolidation loans, refinancing, early repayments, and a professional student loan payoff calculator can help you better understand where you stand and how to pay down debt. Taking advantage of these tools early on is essential to prevent your student loan from becoming unmanageable and continue enjoying benefits from your investment.

Big Data Helps Provide a Better Understanding of the Student Loan Crisis

Big data helps policymakers make better decisions. One of the ways that they are using big data is to get a handle on the student loan crisis. These data-driven insights can help significantly.

5 Ways Data Analytics Helps Us Understand the Student Loan Crisis (2024)

FAQs

What is the information regarding the student loan crisis backed with statistics and information? ›

Americans owe a total of $1.75 trillion in federal and private student loan debt combined. Federal student loan debt alone totals $1.61 trillion. 15% of all American adults report they have outstanding undergraduate student debt. 12.4% of student loan debt in repayment is delinquent as of March 2020.

How data analytics helps you Analyse the data you have? ›

Data analytics converts raw data into actionable insights. It includes a range of tools, technologies, and processes used to find trends and solve problems by using data. Data analytics can shape business processes, improve decision-making, and foster business growth.

How data and analytics can improve education? ›

Data analytics in education, conducted by a data analyst, involves extracting insights from educational data to inform decision-making, enhance student performance, optimize resource allocation, and improve overall learning experiences.

What are the shocking statistics about student loan debt? ›

Key student loan debt statistics

That's up 1.25% from the second quarter of 2022. $128.77 billion of that total through March 31, 2023, is private student loan debt. Students and parents borrowed an estimated $94.7 billion in the 2021-22 academic year.

What are the statistics of student loan debt? ›

43.2 million borrowers have federal student loan debt. The average federal student loan debt balance is $37,088, while the total average balance (including private loan debt) may be as high as $39,981. Less than 2% of private student loans enter default as of 2021's fourth financial quarter (2021 Q4).

What is the root cause of student debt crisis? ›

Today's student debt problem can be traced to the 1960s, when California Gov. Ronald Reagan cut higher education funding and raised tuition. Once considered a public good, higher education became seen nationwide as a private commodity.

What is the main cause of student loan debt? ›

Soaring college costs and pressure to compete in the job marketplace are big factors for student loan debt. Student loans are the most common form of educational debt, followed by credit cards and other types of credit. Borrowers who don't complete their degrees are more likely to default.

Would eliminating student debt help the economy? ›

Student loan debt slows new business growth and limits consumer spending. Broad student loan debt forgiveness may help boost the national economy by making it more affordable for borrowers to participate in it.

What are the 7 steps of data analysis? ›

How to analyze data
  • Establish a goal. First, determine the purpose and key objectives of your data analysis. ...
  • Determine the type of data analytics to use. Identify the type of data that can answer your questions. ...
  • Determine a plan to produce the data. ...
  • Collect the data. ...
  • Clean the data. ...
  • Evaluate the data. ...
  • Visualize the data.
Feb 3, 2023

How are data analytics used in finance? ›

They are used in businesses to enhance the decision-making process. Organizations use financial data analytics to perform several critical functions, including establishing organizational objectives and goals, spending, budgeting, forecasting, and creating dynamic profit and loss statements.

How does data analysis help students? ›

Data analysis can provide a snapshot of what students know, what they should know, and what can be done to meet their academic needs.

How do you use data to improve student learning? ›

5 Ways Using Student Data Can Improve Student & Institutional Success
  1. Forecast Student Success Rates to Raise Admission ROI. ...
  2. Support Students Who May Be Struggling. ...
  3. Evolve Curriculum to Match Student Demands & Needs. ...
  4. Evaluate Instructor Performance to Identify Student Success Opportunities.

What are the facts about student debt crisis? ›

Roughly one in five Americans holds student debt. Most students graduate with around $30,000 in loans, but a small portion of borrowers hold an outsize share of student debt. More than one-third of the total debt is held by the 7 percent of borrowers who owe more than $100,000, according to the Washington Post.

What has caused the student loan crisis? ›

It's the result of a decades-long explosion in borrowing coupled with soaring education costs. The Federal Reserve data shows people under the age of 30 are more likely to have student loan debt compared with older adults – underscoring the crippling burden on another generation of Americans.

What is the main problem with student loan debt? ›

More debt and less support have undeniably led to long-term debt burden and severe financial consequences. Although more students of color are attending college and pursuing the “American Dream,” student debt has delayed them from purchasing homes, starting businesses, and building generational wealth.

What is the real problem with student loan debt? ›

Loan Debt Is an Economic Drag

According to a CNBC report, “85 percent of student loan borrowers say difficulty in saving has delayed their ability to buy a house,” and other research indicates that “Those with student loan debt also are less likely to have taken out car loans. They have worse credit scores.

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