The National Student Loan Data System (NSLDS) is the national database of information about loans and grants awarded to students under Title IV of the Higher Education Act (HEA) of 1965. NSLDS provides a centralized, integrated view of Title IV loans and grants during their complete life cycle, from aid approval through disbursement, repayment, deferment, delinquency, and closure.

Graph and download economic data for Student Loans Owned and Securitized (DISCONTINUED) (SLOAS) from Q1 2006 to Q4 2024 about student, securitized, owned, loans, and USA.

As of 2020, ** percent of the general population in the United States had no student debt. Over *** percent held up to 25,000 U.S. dollars in debt from student loans.

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.

The National Collegiate Athletic Association, or NCAA, is an American sports association that organizes different sports programs for many schools and universities in United States. Its headquarters are located in Indianapolis, Indiana. The NCAA is the largest university sports organization in the world and, due to the great popularity of university sports with fans in the United States, it occupies a prominent place in the American sports scene. Some of the top performing athletes at high school level are often awarded college scholarships that cover all, or part, of their college tuition fees. During a November 2019 survey, ** percent of NCAA student-athletes in the United States stated that they left college with no student debt.

The National Postsecondary Student Aid Survey (NPSAS) provides information on how postsecondary student financial aid is targeted, received, and used. A significant component of the NPSAS is the Student Loan Recipient Transcript Survey, which collected postsecondary-school transcripts for Guaranteed Student Loan (GSL) recipients who were surveyed in the Student Loan Recipient Survey (SLRS, Part 4). This component provides the means to analyze basic policy issues such as relationships between educational activities and ability to cope with indebtedness, and the patterns of student loan repayment or default. The Transcript Survey data cover 11,847 students, 12,213 transcripts, and 1,412 schools and are organized into four categories, consisting of data at the student (Part 5), transcript (Part 7), term (Part 6), and course (Part 2) levels. At least one student-level and one transcript-level record exist for each sample member for whom a transcript was requested, even if the school in question reported that an individual had never attended or had withdrawn before establishing a formal record of attendance. Student-level data (Part 5) provide general information about the respondent's academic career. Each record is given a case ID code, allowing the merger of transcript data and other files, sampling weights, and data that summarize information found on transcripts from all postsecondary schools attended as well as selected items from Part 4, the Student Loan Recipient Survey data files. Transcript-level records (Part 7) contain data pertaining to the student's academic record at a single institution, including the school ID code, degree or other credentials conferred with accompanying dates, major and minor field(s) of study, and the student's cumulative grade-point average. Term records (Part 6) contain type of term (quarters, trimesters, and semesters), season of occurrence, start and end dates, grade-scale type, the number of courses corresponding to a given term, and a special flag indicating regular or transfer status for the term. Included in term type is a code that signifies credit earned via standardized tests and other life experience. Course-level data (Part 2) include records for every course reported on a transcript. The Student Loan Recipient Survey data (Part 4, Questionnaire Data) contain identifying information about the students such as sex, age, race, citizenship, residence, marital status, and current employment, as well as survey control data, a counter variable for the NPSAS transcripts, and weights. The Composite Data file (Part 1) contains information from the student transcript data in Part 5 and the student questionnaire data in Part 4. It also contains composite variables that combine information from the record abstract done at the institution and the student questionnaire. A Parent Survey (Part 3) was also conducted to collect data on the total number of children in the family, how much respondents spent on clothing, food, and books and supplies for their children, other loans taken out to pay for schooling, when the respondents started saving for their children's college expenses, and what type of savings programs they used.

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.

The student loan debt recovery services market is experiencing robust growth, driven by the escalating burden of student loan debt globally. The increasing number of student loan defaults and the rising cost of higher education are primary catalysts for this expansion. While precise market sizing is unavailable from the provided data, a reasonable estimate based on observed trends in related financial services and the reported presence of numerous companies in the space suggests a 2025 market value exceeding $5 billion. This market's compound annual growth rate (CAGR) is likely in the range of 8-10%, projecting significant expansion through 2033. Key segments contributing to this growth include tuition fee loan recovery and living expense loan recovery services, particularly within the education, banking, and government sectors. North America and Europe currently hold significant market share, but emerging economies in Asia-Pacific and other regions present substantial untapped potential for growth, fueled by rising higher education enrollment and subsequent loan defaults. The market faces certain restraints, including stringent regulations surrounding debt collection practices and increasing consumer protection measures. However, the persistent issue of high student loan debt levels continues to drive demand for effective recovery services. The competitive landscape includes a mix of established players and specialized agencies offering diverse services tailored to different client needs. Successful firms are likely to be those that leverage advanced technologies such as AI and machine learning for efficient debt recovery, demonstrate compliance with regulatory frameworks, and provide flexible and empathetic solutions to borrowers. Focus on digital channels and personalized communication strategies also plays a crucial role in improving recovery rates and client satisfaction. Looking ahead, the market will continue to evolve with increasing sophistication in debt recovery techniques and a growing emphasis on ethical and transparent practices, ensuring sustainable growth and mitigating potential risks.

Provides statistics on student debt such as average debt at graduation, percentage of graduates owing large debt after graduation and percentage of graduates with debt who had paid it off at time of interview. These data are presented by province and level of study.

A cohort default rate is the percentage of a school's borrowers who enter repayment on certain Federal Family Education Loan (FFEL) Program or William D. Ford Federal Direct Loan (Direct Loan) Program loans during a particular federal fiscal year (FY), October 1 to September 30, and default or meet other specified conditions prior to the end of the second following fiscal year, as calculated by Federal Student Aid using data derived from the National Student Loan Data System (NSLDS).

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The global student loan market, valued at approximately $XX million in 2025, is projected to experience robust growth, exhibiting a compound annual growth rate (CAGR) of 9.20% from 2025 to 2033. This expansion is fueled by several key factors. Rising higher education costs globally necessitate increased borrowing by students, driving market demand. Furthermore, the increasing availability of diverse loan options, including federal, private, and income-based repayment plans (IBR, REPAYE, etc.), caters to a wider range of student needs and financial situations. Technological advancements, such as online lending platforms and streamlined application processes, also contribute to market growth by enhancing accessibility and efficiency. The market is segmented by loan type (federal/government, private), repayment plan (standard, graduated, IBR, REPAYE), age group (24 or younger, 25-34, above 35), and end-user (graduate students, high school students). The increasing number of graduate students globally and a growing awareness of higher education's importance are significant contributors to market expansion. North America, particularly the United States, is expected to dominate the market due to high tuition fees and a well-established student loan system. However, the market faces certain constraints. Concerns regarding student loan debt burdens and potential defaults pose challenges to market growth. Stringent regulatory frameworks and evolving government policies surrounding student loan programs can also impact market dynamics. Competitive pressures among lending institutions and fluctuations in interest rates further influence the market landscape. Despite these challenges, the long-term outlook remains positive, driven by the persistent demand for higher education and the continuing evolution of financial aid solutions. Key players such as Earnest, Juno, Credible, Citizens Bank, Discover, Mpower, Prodigy, Federal Student Aid, Sallie Mae, and College Ave are actively competing in this dynamic market, continually innovating to capture market share. Geographical expansion into emerging markets with growing middle classes and increasing access to higher education is another significant growth opportunity. 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.

Presents statistics on student loan borrower status and repayments by repayment cohort and tax year, produced by the Student Loans Company

Source agency: Business, Innovation and Skills

Designation: Official Statistics not designated as National Statistics

Language: English

Alternative title: Student loan repayments

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. In this study, I test whether a student’s choice of repayment plan is related to their expectations of earning a low income. Using an information experiment in a web survey, I create two groups of college seniors with an exogenous difference in low-income expectations. I find that respondents who see the major specific income information believe they, on average, have a higher probability of earning a low income. However, those respondents are not any more likely to choose the income-driven repayment plan. I conclude that students’ repayment plan preferences are not strongly related to their expectations of earning a low income. This may be due to students caring about things other than minimizing monthly payments when choosing a repayment plan.

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 s tudent 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 by 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 documentation.

The debt adjustment market is experiencing robust growth, driven by increasing consumer debt levels globally and a rising awareness of debt management solutions. The market's expansion is fueled by several key factors: the surge in personal loans, credit card debt, and student loan burdens; the growing accessibility of online debt counseling and negotiation services; and the increasing sophistication of debt adjustment strategies employed by both consumers and debt relief companies. While economic downturns can temporarily restrain market growth, the long-term trend points towards sustained expansion. Segmentation reveals a strong demand for open-end loan adjustments, reflecting the persistent nature of revolving credit debt. The market is geographically diverse, with North America and Europe currently holding significant market shares, but developing economies in Asia-Pacific and other regions are showing promising growth potential, driven by rising middle classes and increased access to credit. The competitive landscape is characterized by both large established companies and smaller niche players, all vying to cater to diverse client needs. This competitive dynamic fosters innovation and drives down prices, further expanding market access. The forecast period of 2025-2033 is expected to witness substantial growth, particularly in regions experiencing rapid economic development. The continued evolution of digital technologies is further facilitating access to debt adjustment services, making them more convenient and affordable for a broader consumer base. Effective regulatory frameworks and consumer protection measures will play a crucial role in ensuring responsible and sustainable growth within this market. While challenges such as fluctuating interest rates and economic uncertainty remain, the inherent need for debt management solutions suggests a positive outlook for the debt adjustment market's trajectory in the coming years. Proactive financial literacy programs and the development of innovative debt solutions will be vital factors influencing the overall market evolution.

The National Graduates Survey - Class of 2005 (NGS2005) was conducted by Statistics Canada from May to September 2007. This survey was designed to determine such factors as: the extent to which graduates of postsecondary programs had been successful in obtaining employment since graduation; the relationship between the graduates' programs of study and the employment subsequently obtained; the graduates' job and career satisfaction; the rates of under-employment and unemployment; the type of employment obtained related to career expectations and qualification requirements; and the influence of postsecondary education on occupational achievement. These excel tables cover data from the 2005 survey, and give an account of postsecondary students by gender, level of study, labour force activity, debt levels, annual earnings, at graduation. These excel tables cover data from the National Graduates Survey, 2005, and give an account of postsecondary students by gender, level of study, labour force activity, debt levels, annual earnings, at graduation. For microdata, see the National Graduates Survey, 2005.

This table gives an overview of government expenditure on regular education in the Netherlands since 1900. All figures presented have been calculated according to the standardised definitions of the OECD.

Government expenditure on education consists of expenditure by central and local government on education institutions and education. The government finances schools, colleges and universities. It pays for research and development conducted by universities. Furthermore it provides student grants and loans, allowances for school costs, provisions for students with a disability and child care allowances to households as well as subsidies to companies and non-profit organisations.

Total government expenditure is broken down into expenditure on education institutions and education on the one hand and government expenditure on student grants and loans and allowances for school costs to households on the other. If applicable these subjects are broken down into pre-primary and primary education, special needs primary education, secondary education, senior secondary vocational and adult education, higher professional education and university education. Data are available from 1900. Figures for the Second World War period are based on estimations due to a lack of source material.

The table also includes the indicator government expenditure on education as a percentage of gross domestic product (GDP). This indicator is used to compare government expenditure on education internationally. The indicator is compounded on the basis of definitions of the OECD (Organisation for Economic Cooperation and Development). The indicator is also presented in the StatLine table Education; Education expenditure and CBS /OECD indicators. Figures for the First World War and Second World War period are not available for this indicator due to a lack of reliable data on GDP for these periods.

The statistic on Education spending is compiled on a cash basis. This means that the education expenditure and revenues are allocated to the year in which they are paid out or received. However, the activity or transaction associated with the payment or receipt can take place in a different year.

Statistics Netherlands published the revised National Accounts in June 2024. Among other things, GDP has been adjusted upwards as a result of the revision. The revision has not been extended to the years before 1995. In the indicator 'Total government expenditure as % of GDP', a break occurs between 1994 and 1995 as a result of the revision.

Data available from: 1900

Status of the figures: The figures from 1995 to 2022 are final. The 2023 figures are provisional.

Changes on 31 December 2024: The final figures of 2021 and 2022 and the provisional figures of 2023 have been added. As a result of the revision of the National Accounts, among other things, GDP has been adjusted upwards. The indicator ‘Total government expenditure as % of GDP’ in this table has been updated on the basis of the revised figures for the entire time series since 1995. A break occurs in the indicator between 1994 and 1995.

When will new figures be published? The final figures for 2023 and the provisional figures for 2024 will be published in December 2025. More information on the revision policy of National Accounts can be found under 'relevant articles' under paragraph 3.

Key information about United States Household Debt

• United States Household Debt reached 18,036.0 USD bn in Dec 2024, compared with the reported number of 17,943.0 USD bn in the previous quarter
• US Household Debt: USD mn data is updated quarterly, available from Mar 1999 to Dec 2024
• The data reached an all-time high of 18,036.0 USD bn in Dec 2024 and a record low of 4,540.0 USD bn in Mar 1999

• In the latest reports, United States Household Debt accounted for 61.7 % of the country's Nominal GDP in Dec 2024
• Money Supply M2 in United States increased 21,533.8 USD bn YoY in Dec 2024
• United States Foreign Exchange Reserves was measured at 34.9 USD bn in Dec 2024
• The Foreign Exchange Reserves equaled 0.1 Months of Import in Dec 2024
• United States Domestic Credit reached 30,648.3 USD bn in Mar 2024, representing an drop of 0.3 % YoY