Statistics on student debt, including the average debt at graduation, the percentage of graduates who owed large debt at graduation and the percentage of graduates with debt who had paid it off at the time of the interview, are presented by the province of study and the level of study. Estimates are available at five-year intervals.

In 2024, Generation Z in the United States had an average of roughly ****** U.S. dollars in student loan debt. By contrast, Generation X had the highest student loan debt, amounting to approximately ****** U.S. dollars. The value of outstanding student loans has been consistently rising over the past few decades.

In 2025, students graduating from English universities will have incurred an average of 53,000 British pounds of student loan debt, compared with 39,000 pounds in Wales, 28,000 pounds in Northern Ireland, and around 18,000 pounds in Scotland.

View quarterly updates and historical trends for US Student Loan Debt. from United States. Source: Federal Reserve Bank of New York. Track economic data w…

The value of outstanding student loans in the United States has ballooned since the first quarter of 2006. As of the fourth quarter of 2024, American students owed over **** trillion U.S. dollars in student loans. In the first quarter of 2006, this figure stood at ***** billion U.S. dollars.

Percentage of graduates who borrowed from government student loan programs and their average debt at graduation, Canada and provinces. This table is included in Section B: Financing education systems of the Pan Canadian Education Indicators Program (PCEIP). PCEIP is an ongoing initiative of the Canadian Education Statistics Council, a partnership between Statistics Canada and the Council of Ministers of Education, Canada that provides a set of statistical measures on education systems in Canada.

As of Q4 2024, Americans aged 50 to 61 years had the highest average student loan debt balance among all age groups, averaging ********* U.S. dollars of student debt per borrower. In comparison, Americans who were 24 years and younger had an average student debt balance of ********* U.S. dollars.

In recent years, economists and policymakers have been interested in the burden of student debt across socioeconomic groups. In this Economic Commentary , we use the two most recent waves of the Survey of Consumer Finances, collected in 2019 and 2022, to study changes in the joint distribution of student debt and two measures of “ability-to-pay,” income and net worth. We find that between 2019 and 2022, both the fraction of families with student debt and real student debt per family were essentially unchanged, and aggregate student debt fell as a fraction of aggregate income and net worth. However, over the same period, the distribution of student debt shifted toward higher-income and wealthier families, with a rise in the average student debt in the highest quintile of both income and net worth. Further, this shift was not driven by changes in the distribution of debtors, but, instead, in the amount of debt per family.

According to a survey conducted in 2022, Black women were the most likely demographic to have student loan debt in the United States, with **** percent of Black women who had attended some college or higher reporting a student loan balance. In comparison, **** percent of Hispanic women and **** percent of White women in the United States with at least some college or higher had student loan debt in 2022.

Consumers in the United States had over **** trillion dollars in debt as of the first quarter of 2025. The majority of that debt were home mortgages, amounting to approximately **** trillion U.S. dollars. Student and car loans were the second and third largest component of household debt. Why is consumer debt important? Debt influences the Consumer Sentiment Index, which is an important indicator assessing the state of the U.S. economy. The U.S. housing market is also seen a bellwether of the economic conditions in the country. The housing industry employs a large number of people, and mortgages are large investments that consumers will pay off over the course of years, sometimes decades. Because of this, financial analysts closely watch consumer debt and its effects on the demand for housing. Attitudes towards debt Consumer perception of debt differed, depending on the kind of debt in question. While most saw a home mortgage as a positive investment, they increasingly looked at student loan debt as a negative debt. With education costs increasing, people are incurring more student loan debt in the United States. Credit card debt also had negative connotations.

Explore the booming student loan market projected to reach $XXX million by 2033, with a CAGR of 9.20%. This in-depth analysis covers market drivers, trends, restraints, segmentation (by type, repayment plan, age, and end-user), key players (Earnest, Sallie Mae, etc.), and regional data. Discover insights into the opportunities and challenges within this rapidly growing sector. Recent developments include: October 2023: Discover unveiled its latest national brand campaign, titled "Especially for Everyone," featuring the acclaimed actress Jennifer Coolidge. In a groundbreaking move, Coolidge will take center stage in nationwide advertising efforts, spotlighting Discover's array of benefits and products. Of notable significance, this campaign marks the company's inaugural foray into promoting a deposit product, specifically highlighting Discover's Cashback Debit Checking Account., July 2023: Earnest, a fintech company dedicated to enhancing accessibility and affordability in higher education, joined forces with Nova Credit, a cutting-edge credit bureau with a global reach. Together, they have introduced International Private Student Loans, opening up new opportunities for students around the world to pursue their educational dreams.. Key drivers for this market are: Government Initiatives are Driving the Market, Growing Aspirations for International Education is Driving the Market. Potential restraints include: Government Initiatives are Driving the Market, Growing Aspirations for International Education is Driving the Market. Notable trends are: High Education Costs is Driving the Market.

The student loan market is experiencing robust growth, projected to maintain a Compound Annual Growth Rate (CAGR) of 9.20% from 2025 to 2033. While the exact 2025 market size (XX) is unavailable, considering a typical market size for this sector and applying the provided CAGR, a reasonable estimation places the 2025 market value at approximately $200 billion. This significant expansion is driven by several factors. Rising tuition fees at colleges and universities globally necessitate increased borrowing by students, fueling market growth. Furthermore, the increasing availability of diverse loan options, including government-backed loans, private loans, and income-share agreements, caters to a broader spectrum of student needs and risk profiles. Technological advancements, such as online lending platforms and streamlined application processes, also contribute to market expansion. However, challenges persist. Concerns surrounding student loan debt burdens and potential economic downturns impacting repayment rates pose restraints on market growth. Market segmentation varies significantly across the globe based on factors including government policies and economic conditions, with some countries exhibiting stronger growth than others. Key players like Earnest, Juno, Credible, Citizens Bank, Discover, Mpower, Prodigy, Federal Student Aid, Sallie Mae, and College Ave are actively competing within this dynamic market landscape, each employing diverse strategies to capture market share. The forecast period of 2025-2033 indicates continued growth in the student loan market, driven by long-term educational trends and evolving student financing solutions. Despite potential regulatory changes and economic fluctuations, the market's fundamental drivers—the ongoing need for student financing and technological advancements—suggest that the positive growth trajectory is likely to continue, though possibly at a slightly moderated pace in certain regions or economic cycles. The success of individual companies will depend on their ability to adapt to evolving market dynamics, offer competitive pricing, and provide effective customer support, especially in terms of financial literacy and responsible borrowing. Innovative approaches to risk assessment and personalized lending solutions will be critical for future success within the student loan market. Key drivers for this market are: Government Initiatives are Driving the Market, Growing Aspirations for International Education is Driving the Market. Potential restraints include: Government Initiatives are Driving the Market, Growing Aspirations for International Education is Driving the Market. Notable trends are: High Education Costs is Driving the Market.

View quarterly updates and historical trends for US Student Loans Delinquent by 90 or More Days. from United States. Source: Federal Reserve Bank of New Y…

Statistics on postsecondary graduates who owed money for their education to government-sponsored student loans at graduation, including the average debt at graduation, the percentage of graduates who owed large debt at graduation and the percentage of debt paid off at the time of the interview, are presented by the province of study and the level of study. Estimates are available at five-year intervals.

As of 2025, the outstanding student loan debt in the United Kingdom reached over 292 billion British pounds, with the majority of the debt coming from England at 266.6 billion pounds, with student loan debt in Scotland amounting to 9.4 billion, Wales 10.6 billion, and Northern Ireland 5.6 billion.

The UK student loan market, a significant segment of the global student loan landscape, is experiencing robust growth fueled by increasing higher education enrollment and evolving government policies. While precise market figures for the UK specifically are unavailable from the provided data, we can infer substantial size based on the global CAGR of 7% and the presence of major UK lenders like HSBC and others listed. The market is segmented by loan type (federal/government, private), repayment plan (standard, graduated, income-based, etc.), age group (under 24, 25-34, over 35), and end-user (graduate, high school, other). Government loan programs, due to their accessibility and affordability, likely dominate the market share. However, the private student loan segment is also witnessing growth, driven by demand for specialized financing and potentially higher borrowing limits than government schemes. Trends like rising tuition fees and the increasing awareness of income-driven repayment plans contribute to market expansion. Conversely, constraints include potential economic downturns that could impact borrower repayment ability and government policy shifts affecting loan availability or terms. The market's future growth will depend on factors such as government funding levels for higher education, economic conditions, and the continued popularity of higher education among young people. Further analysis suggests that the market's regional concentration is largely within the UK, though international students studying in the UK contribute to the overall value. Competition among lenders is intense, encompassing both large established banks and specialized student loan providers. The competitive landscape necessitates innovative product offerings, competitive interest rates, and flexible repayment options to attract and retain borrowers. The sustained growth trajectory indicates a promising outlook for the UK student loan market, with opportunities for further expansion driven by ongoing trends in education and economic factors. Data points to considerable growth potential across all segments. However, careful monitoring of economic indicators and regulatory changes will be crucial for stakeholders to effectively navigate the market's future landscape. Recent developments include: July 2023: Prodigy Finance, a socially responsible FinTech leader in international student loan lending, announced a groundbreaking USD 350 million facility in partnership with Citi, Schroders Capital, and SCIO Capital. This marks the inaugural transaction under Prodigy's innovative multi-issuance special-purpose vehicle structure. The collaborative effort between Prodigy Finance and its funding partners reflects a substantial commitment to providing accessible financial support to ambitious master's students worldwide. To date, Prodigy has disbursed over USD 1.8 billion in postgraduate education loans, supporting more than 35,000 high-potential students from across 100 different countries., March 2023: Following extensive overnight negotiations, HSBC came to the rescue of Silicon Valley Bank's UK branch. HSBC UK has acquired SVB UK for a nominal sum of GBP 1 (USD 1.21) in a transaction that excludes the assets and liabilities of SVB UK's parent company.. Key drivers for this market are: Increasing Demand for Higher Education is Driving the Market, Government Support is Driving the Market. Potential restraints include: Increasing Demand for Higher Education is Driving the Market, Government Support is Driving the Market. Notable trends are: High Tuition Fees is Driving the Market.

Financial overview and grant giving statistics of Wisconsin Coalition on Student Loan Debt Inc.

Presents statistics on the status of student loans borrowers and the change in debt in the financial year. The borrowers are English domiciles who studied anywhere in the UK or EU students who studied in England.

Source agency: Student Loans Company

Designation: National Statistics

Language: English

Alternative title: Student Loans for Higher Education in England

🏦 Synthetic Loan Approval Dataset

A Realistic, High-Quality Dataset for Credit Risk Modelling

🎯 Why This Dataset?

Most loan datasets on Kaggle have unrealistic patterns where:

1. ❌ Credit scores don't matter
2. ❌ Approval logic is backwards
3. ❌ Models learn nonsense patterns

Unlike most loan datasets available online, this one is built on real banking criteria from US and Canadian financial institutions. Drawing from 3 years of hands-on finance industry experience, the dataset incorporates realistic correlations and business logic that reflect how actual lending decisions are made. This makes it perfect for data scientists looking to build portfolio projects that showcase not just coding ability, but genuine understanding of credit risk modelling.

📊 Dataset Overview

🔑 Key Features

Identifier:

-Customer ID (unique identifier for each application)

Demographics:

-Age, Occupation Status, Years Employed

Financial Profile:

-Annual Income, Credit Score, Credit History Length -Savings/Assets, Current Debt

Credit Behaviour:

-Defaults on File, Delinquencies, Derogatory Marks

Loan Request:

-Product Type, Loan Intent, Loan Amount, Interest Rate

Calculated Ratios:

-Debt-to-Income, Loan-to-Income, Payment-to-Income

💡 What Makes This Dataset Special?

1️⃣ Real-World Approval Logic The dataset implements actual banking criteria: - DTI ratio > 50% = automatic rejection - Defaults on file = instant reject - Credit score bands match real lending thresholds - Employment verification for loans ≥$20K

2️⃣ Realistic Correlations - Higher income → Better credit scores - Older applicants → Longer credit history - Students → Lower income, special treatment for small loans - Loan intent affects approval (Education best, Debt Consolidation worst)

3️⃣ Product-Specific Rules - Credit Cards: More lenient, higher limits - Personal Loans: Standard criteria, up to $100K - Line of Credit: Capped at $50K, manual review for high amounts

4️⃣ Edge Cases Included - Young applicants (age 18) building first credit - Students with thin credit files - Self-employed with variable income - High debt-to-income ratios - Multiple delinquencies

🎓 Perfect For - Machine Learning Practice: Binary classification with real patterns - Credit Risk Modelling: Learn actual lending criteria - Portfolio Projects: Build impressive, explainable models - Feature Engineering: Rich dataset with meaningful relationships - Business Analytics: Understand financial decision-making

📈 Quick Stats

Approval Rates by Product - Credit Card: 60.4% more lenient) - Personal Loan: 46.9 (standard) - Line of Credit: 52.6% (moderate)

Loan Intent (Best → Worst Approval Odds) 1. Education (63% approved) 2. Personal (58% approved) 3. Medical/Home (52% approved) 4. Business (48% approved) 5. Debt Consolidation (40% approved)

Credit Score Distribution - Mean: 644 - Range: 300-850 - Realistic bell curve around 600-700

Income Distribution - Mean: $50,063 - Median: $41,608 - Range: $15K - $250K

🎯 Expected Model Performance

With proper feature engineering and tuning: - Accuracy: 75-85% - ROC-AUC: 0.80-0.90 - F1-Score: 0.75-0.85

Important: Feature importance should show: 1. Credit Score (most important) 2. Debt-to-Income Ratio 3. Delinquencies 4. Loan Amount 5. Income

If your model shows different patterns, something's wrong!

🏆 Use Cases & Projects

Beginner - Binary classification with XGBoost/Random Forest - EDA and visualization practice - Feature importance analysis

Intermediate - Custom threshold optimization (profit maximization) - Cost-sensitive learning (false positive vs false negative) - Ensemble methods and stacking

Advanced - Explainable AI (SHAP, LIME) - Fairness analysis across demographics - Production-ready API with FastAPI/Flask - Streamlit deployment with business rules

⚠️ Important Notes

This is SYNTHETIC Data - Generated based on real banking criteria - No real customer data was used - Safe for public sharing and portfolio use

Limitations - Simplified approval logic (real banks use 100+ factors) - No temporal component (no time series) - Single country/currency assumed (USD) - No external factors (economy, market conditions)

Educational Purpose This dataset is designed for: - Learning credit risk modeling - Portfolio projects - ML practice - Understanding lending criteria

NOT for: - Actual lending decisions - Financial advice - Production use without validation

🤝 Contributing

Found an issue? Have suggestions? - Open an issue on GitHub - Suggest i...

How has student debt changed over the past decade? How will interest rates affect it now?