Higher education undergraduate student loan outlay by Household Residual Income

In 2022, the student loan default rate in the United States was highest for borrowers in the bottom ** percent of the family income bracket, at ** percent. In comparison, borrowers in the top 25 percent were least likely to default on their student loans.

Graph and download economic data for Individual Income Tax Filing: Statutory Adjustments: Student Loan Interest Deduction (SLITDDA) from 1999 to 2016 about deductions, student, individual, adjusted, tax, loans, income, interest, and USA.

In 2023, ** percent of undergraduate students from families with an income of over ******* U.S. dollars borrowed money alone to cover their college education costs in the United States. Meanwhile, ** percent of students from families with an income of under ****** U.S. dollars financed their college on their own.

According to a survey conducted in 2022, ** percent of adults who earned under ****** U.S. dollars believed that resuming payments towards their student loans would have a major impact on their financial security, while ** percent believed that there would be a minor impact. However, ** percent of adults who made more than 100,000 U.S. dollars also said that there would be at least a minor impact on their financial security as a result of resuming payments towards their student loans.

EKOS Research Associates and the Canada Millennium Scholarship Foundation conducted a monthly national study of the finances of post-secondary students from September 2001 until May 2002. The study was designed to capture the expenses and income of students on a monthly basis, in order to profile the financial circumstances of Canadian post-secondary students and the adequacy of available funding. The Web based Students Financial Survey provided accurate, quantifiable results for the first time on such issues as the incidence and level of assistance, the level of debt from outstanding bank loans, personal lines of credit, and credit cards. The study also yielded up-to-date information on student assets (such as automobiles, computers, and electronics), student earnings, time usage, and types of expenses incurred. The survey featured a panel of 1,524 post-secondary students from across the country, who participated in a very brief monthly survey, either via Internet or telephone. Students were required to complete a longer baseline wave of the survey in order to participate in the study. The baseline survey asked a number of questions concerning summer income and existing debt, including credit card debt. This dataset was received from the Canada Millennium Scholarship Foundation as is. Issues with value labels and missing values were discovered and corrected as best as possible with the documentation received. The variable gasst: Do you receive any government assistance? was not corrected due to lack of documentation about this variable. Some caution should be used with this dataset. This dataset was freely received from, the Canadian Millenium Scholarship Foundation. Some work was required for the variable and value labels, and missing values. They were correct as best as possible with the documentation received. Caution should be used with this dataset as some variables are lacking information.

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.

Loan outlay, mean loan outlay per student, number of students and proportion of students by Household Residual Income band for 2019/20

How high is the average student debt in the Netherlands? In 2016, a university (in Dutch: WO) graduate had a debt of around 10,700 euros. Newer numbers were not available, as the national system for student loans changed in 2015. In 2015-2016, the so-called basisbeurs (a conditional loan a student would receive in the Netherlands, which would turn into a gift when he/she graduated within ten years) was abolished. This currently means that if students need more money, they must loan it from the government. In 2017, the Dutch government granted 2.4 billion euros worth of loans to students.

University graduates had a higher chance of a student debt

The total student debt in the Netherlands was worth 11.2 billion euros in 2017. Roughly six out of ten research university graduates had a student debt. This was significantly higher than university of applied sciences graduates (in Dutch: HBO), of which 33 percent had a student debt.

Student debts influence house purchases in the Netherlands

In 2017, approximately 16 percent of all first-time homebuyers in the Netherlands consisted of the age group between 25 and 29 years old. This was a decrease from the approximately 25 percent in 2013. As (student) debts and personal income count towards mortgage requests and partly determine whether or not mortgage providers are willing to lend money for the purchase of a house, an increasing student debt made it more difficult for starters in the Netherlands to enter the real estate market. Mortgages are the most common way to finance real estate for households in the Netherlands.

- Title: Student Spending Habits Dataset Description: This dataset contains fictional data representing the spending habits of 1000 students across various demographic groups and academic backgrounds. The dataset includes information such as age, gender, year in school, major, monthly income, financial aid received, and expenses in different spending categories. Spending categories include tuition, housing, food, transportation, books & supplies, entertainment, personal care, technology, health & wellness, and miscellaneous expenses. Additionally, the dataset includes the preferred payment method for each student. Columns: 1. Age: Age of the student (in years) 1. Gender: Gender of the student (Male, Female, Non-binary) 1. Year in School: Year of study (Freshman, Sophomore, Junior, Senior) 1. Major: Field of study or major 1. Monthly Income: Monthly income of the student (in dollars) 1. Financial Aid: Financial aid received by the student (in dollars) 1. Tuition: Expenses for tuition (in dollars) 1. Housing: Expenses for housing (in dollars) 1. Food: Expenses for food (in dollars) 1. Transportation: Expenses for transportation (in dollars) 1. Books & Supplies: Expenses for books and supplies (in dollars) 1. Entertainment: Expenses for entertainment (in dollars) 1. Personal Care: Expenses for personal care items (in dollars) 1. Technology: Expenses for technology (in dollars) 1. Health & Wellness: Expenses for health and wellness (in dollars) 1. Miscellaneous: Miscellaneous expenses (in dollars) 1. Preferred Payment Method: Preferred payment method (Cash, Credit/Debit Card, Mobile Payment App) Usage: This dataset can be used for various analyses related to student spending habits, financial literacy, budgeting strategies, and payment preferences. Researchers, educators, and students can utilize this dataset for exploratory data analysis, predictive modeling, and developing insights into the financial behaviors of students. Acknowledgements: This dataset was generated for educational and research purposes, and all data is entirely fictional.

We use new administrative data that links detailed information on Canadian student loan recipients with their repayment and income histories from the Canada Student Loans Program (CSLP), income tax filings, and post-secondary schooling records to measure the extent to which student borrowers adjust loan repayments to insure against income variation. Several mechanisms are available for students to adjust loan repayments in response to income fluctuations: formal, like CSLP's Repayment Assistance Plan; and informal, such as delinquency or default. Borrowers can also make larger payments than required should they experience unexpectedly high income. Indeed, loan payments are shown to increase in income, more so in early years and for individuals with higher initial debt. More formally, we estimate that on average, an unexpected $1,000 change in year-over-year income is associated with a $30 change in loan payment: from a $50 change the year after graduation, declining to a $20 change 5 years after graduation. Loan repayments are also used to absorb income variation that is more permanent in nature: for borrowers whose income is consistently below or above expected income at graduation, the magnitude of average repayment adjustment is similar to the average yearly response.

This material is based upon work supported by the National Science Foundation under Grant No. 2049358. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author and do not necessarily reflect the views of the National Science Foundation.Income-driven repayment plans lower required payments for student loan borrowers when their income decreases. This helps to reduce student loan defaults. Despite universal availability, only a minority of student loan borrowers in the U.S. are in an income-driven repayment plan. I test whether a student’s choice of repayment plan is related to their expectations of earning a low income by fielding a web survey where students are randomly shown one of two types of information about post-college incomes. I use which treatment a student sees as an instrument for their low-income expectations. While the estimates for the full sample are insignificant, I find that increasing low-income expectation decreases the probability a student prefers an income-driven repayment plan. The more tailored income information significantly increases students’ low-income expectations but causes insignificant declines in choosing the income-driven repayment plan. I conclude that increasing students’ low-income expectations is unlikely to increase take up of income-driven repayment plans.

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The Canadian College Student Survey was conducted by the Canada Millennium Scholarship Foundation to provide data on student finances in Canada. The primary objective of the survey was to track the expenses and income of students on a monthly basis, in order to profile the financial circumstances of Canadian students and the adequacy of available funding. The survey will allow the Canada Millennium Scholarship Foundation to understand the financial circumstances of students who are in a post- secondary environment on an annual basis. This research is a joint effort of the Foundation, all participating colleges and the Association of Canadian Community Colleges (ACCC). The survey collects data on college students' income, expenditures and use of time. The survey is unique in that it provides national-level information on the challenges Canadian college students face in terms of financial and access issues. The objectives of the research are to: provide national-level data on student access; time use and financing for Canadian college students from participating colleges; identify issues particular to certain learner groups and/or regions; and provide each institution with top-line survey results (based on representative samples of their students); which may then be compared against the "national average". In January 2003, the Foundation engaged Prairie Research Associates (PRA) Inc. to oversee this research. This dataset was freely received from the Canada Millennium Scholarship Foundation. Some work was required for the variable and value labels, and missing values. They were corrected as best as possible with the documentation received. Caution should be used with this dataset as some variables are lacking information. This dataset was freely received by the Canada Millennium Scholarship Foundation. Some work was required for the variable and value labels, and missing values. The y were corrected as best as possible with the documentation received. Caution should be used with this dataset as some variables are lacking documentation.

This publication has now been combined within the Student Loans in England Statistics.

Source agency: Student Loans Company

Designation: Official Statistics not designated as National Statistics

Language: English

Alternative title: Income Contingent Repayments by Repayment Cohort and Tax Year - England

The Canadian College Student Survey was conducted by the Canada Millennium Scholarship Foundation to provide data on student finances in Canada. The primary objective of the survey was to track the expenses and income of students on a monthly basis, in order to profile the financial circumstances of Canadian students and the adequacy of available funding. The survey will allow the Canada Millennium Scholarship Foundation to understand the financial circumstances of students who are in a post- secondary environment on an annual basis. This research is a joint effort of the Foundation, all participating colleges and the Association of Canadian Community Colleges (ACCC). The survey collects data on college students' income, expenditures and use of time. The survey is unique in that it provides national-level information on the challenges Canadian college students face in terms of financial and access issues. The objectives of the research are to: provide national-level data on student access; time use and financing for Canadian college students from participating colleges; identify issues particular to certain learner groups and/or regions; and provide each institution with top-line survey results (based on representative samples of their students); which may then be compared against the "national average".The Canada Millennium Scholarship Foundation commissioned R.A. Malatest and Associates Ltd. to conduct a comprehensive survey that provided national-level data concerning college students’ income, expenditures, levels of debt/perceptions of debt, and use of time. The 2002 Canadian College Student Survey Project was administered in March and April of 2002 in 16 colleges (representing 93,175 students). The maximum variation of the results of this survey is estimated to be ±1.2% (at a 95% confidence level). This dataset was freely received from the Canada Millennium Scholarship Foundation. Some work was required for the variable and value labels, and missing values. They were corrected as best as possible with the documentation received. Caution should be used with this dataset as some variables are lacking information.

The Student Income and Expenditure Survey (SIES) is designed to collect detailed information on income and expenditure of Higher Education students, and investigates issues such as student debt or hardship. The survey covers both full-time and part-time students at higher education institutions (HEI) and further education colleges (FEC), including the Open University (OU), participating in undergraduate courses. Undergraduate courses included first degree and Higher National Diplomas/Certificates (HNDs/HNCs), or in university-based postgraduate initial teacher training courses (PGCEs).

The 2011/12 survey is the latest in a series of surveys carried out at approximately three year intervals. The methods and interview content have been kept as similar as possible to previous waves in order to make any trend comparisons as robust as possible.

The main aims of the SIES 2011/12 Survey were to:provide detailed information on the income, expenditure and debt levels of higher education (HE) students in England and Walesallow for analysis on larger and more memorable spending captured in the main questionnaire, as well as day-to-day spending recorded in the seven-day spending diaryprovide a baseline for assessing the impact of changes in student finance introduced in September 2012 for those starting HE in the 2012/13 academic yearFieldwork was conducted between February 2012 and June 2012. Please see the User Guide accompanying the SIES 2011/12 dataset for further information.

Secure Access Dataset and Related Studies: In the Secure Access version of SIES 2011/12 the raw financial variables have not been banded, as was the case for the standard End User Licence (EUL) version held by the UK Data Archive under SN 7611. The Archive also holds an EUL version of SIES 2007/08 under SN 6319.

The SIES 2011/12 dataset contains data relating to the following topics:course detailsbackgroundfeeshigher education-related incomerange of support receivedstudent choices and student supportother income sources (earnings, family, benefits, maintenance, money and gifts, savings)commercial creditexpenditureoverall financial position

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.