14 datasets found
  1. Rate of arrears to total number of mortgages Canada 2000-2025, by month

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). Rate of arrears to total number of mortgages Canada 2000-2025, by month [Dataset]. https://www.statista.com/statistics/590972/rate-of-arrears-to-total-number-of-mortgages-canada/
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    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2000 - Apr 2025
    Area covered
    Canada
    Description

    The share of mortgages in arrears in Canada reached an all-time low in 2022, followed by an increase until 2025. As of **********, the rate of mortgage arrears was **** percent, up from **** percent in September 2022.

  2. Delinquency rates of lenders in Canada 2020-2023, by type

    • statista.com
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    Statista, Delinquency rates of lenders in Canada 2020-2023, by type [Dataset]. https://www.statista.com/statistics/1085831/delinquency-rates-of-lenders-in-canada-by-type/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Canada
    Description

    In 2023, the delinquency rates of all types of mortgage lenders in Canada increased. As of the fourth quarter of the year, approximately 1.05 percent of loans in the loan portfolios of mortgage investment entities (MIEs) were classified as delinquent, which was a decrease from the 0.78 percent delinquency rate a year ago. A loan is reported by lenders as being delinquent after 270 days of late payments.

  3. Mortgage delinquency rate in the U.S. 2000-2025, by quarter

    • statista.com
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    Statista, Mortgage delinquency rate in the U.S. 2000-2025, by quarter [Dataset]. https://www.statista.com/statistics/205959/us-mortage-delinquency-rates-since-1990/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Following the drastic increase directly after the COVID-19 pandemic, the delinquency rate started to gradually decline, falling below *** percent in the second quarter of 2023. In the second half of 2023, the delinquency rate picked up but remained stable throughout 2024. In the second quarter of 2025, **** percent of mortgage loans were delinquent. That was significantly lower than the **** percent during the onset of the COVID-19 pandemic in 2020 or the peak of *** percent during the subprime mortgage crisis of 2007-2010. What does the mortgage delinquency rate tell us? The mortgage delinquency rate is the share of the total number of mortgaged home loans in the U.S. where payment is overdue by 30 days or more. Many borrowers eventually manage to service their loan, though, as indicated by the markedly lower foreclosure rates. Total home mortgage debt in the U.S. stood at almost ** trillion U.S. dollars in 2024. Not all mortgage loans are made equal ‘Subprime’ loans, being targeted at high-risk borrowers and generally coupled with higher interest rates to compensate for the risk. These loans have far higher delinquency rates than conventional loans. Defaulting on such loans was one of the triggers for the 2007-2010 financial crisis, with subprime delinquency rates reaching almost ** percent around this time. These higher delinquency rates translate into higher foreclosure rates, which peaked at just under ** percent of all subprime mortgages in 2011.

  4. Funds advanced, outstanding balances, and interest rates for new and...

    • www150.statcan.gc.ca
    • data.urbandatacentre.ca
    • +3more
    Updated Nov 20, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Funds advanced, outstanding balances, and interest rates for new and existing lending, Bank of Canada [Dataset]. http://doi.org/10.25318/1010000601-eng
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    Dataset updated
    Nov 20, 2025
    Dataset provided by
    Government of Canadahttp://www.gg.ca/
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    This table contains 102 series, with data starting from 2013, and some select series starting from 2016. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada), Components (51 items: Total, funds advanced, residential mortgages, insured; Variable rate, insured; Fixed rate, insured, less than 1 year; Fixed rate, insured, from 1 to less than 3 years; ...), and Unit of measure (2 items: Dollars; Interest rate). For additional clarification on the component dimension, please visit the OSFI website for the Report on New and Existing Lending.

  5. T

    United States - Delinquency Rate on Single-Family Residential Mortgages,...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Dec 10, 2019
    + more versions
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    TRADING ECONOMICS (2019). United States - Delinquency Rate on Single-Family Residential Mortgages, Booked in Domestic Offices, All Commercial Banks [Dataset]. https://tradingeconomics.com/united-states/delinquency-rate-on-single-family-residential-mortgages-booked-in-domestic-offices-all-commercial-banks-fed-data.html
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    excel, csv, json, xmlAvailable download formats
    Dataset updated
    Dec 10, 2019
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Delinquency Rate on Single-Family Residential Mortgages, Booked in Domestic Offices, All Commercial Banks was 1.78% in July of 2025, according to the United States Federal Reserve. Historically, United States - Delinquency Rate on Single-Family Residential Mortgages, Booked in Domestic Offices, All Commercial Banks reached a record high of 11.49 in January of 2010 and a record low of 1.41 in October of 2004. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Delinquency Rate on Single-Family Residential Mortgages, Booked in Domestic Offices, All Commercial Banks - last updated from the United States Federal Reserve on December of 2025.

  6. Canada Mortgage and Housing Corporation, conventional mortgage lending rate,...

    • www150.statcan.gc.ca
    • thelearningbarn.org
    • +3more
    Updated Nov 19, 2025
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    Government of Canada, Statistics Canada (2025). Canada Mortgage and Housing Corporation, conventional mortgage lending rate, 5-year term [Dataset]. http://doi.org/10.25318/3410014501-eng
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    Dataset updated
    Nov 19, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...).

  7. G

    Student Loan Default Rates at B.C. Public Post-Secondary Institutions

    • ouvert.canada.ca
    • open.canada.ca
    csv, html, xlsx
    Updated Feb 12, 2025
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    Government of British Columbia (2025). Student Loan Default Rates at B.C. Public Post-Secondary Institutions [Dataset]. https://ouvert.canada.ca/data/dataset/411a40af-14b0-4d66-a36a-15e8cb0563dd
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    csv, html, xlsxAvailable download formats
    Dataset updated
    Feb 12, 2025
    Dataset provided by
    Government of British Columbia
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    British Columbia
    Description

    Percent of British Columbia Student Loan borrowers from British Columbia's public post-secondary institutions who have consolidated their loans and failed to fulfill repayment responsibilities. Data available by institution. Five-year consolidation cohorts, Fiscal Years 2003/04 - 2007/08 to 2007/08 - 2011/12.

  8. F

    Delinquency Rate on Credit Card Loans, All Commercial Banks

    • fred.stlouisfed.org
    json
    Updated Nov 21, 2025
    + more versions
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    (2025). Delinquency Rate on Credit Card Loans, All Commercial Banks [Dataset]. https://fred.stlouisfed.org/series/DRCCLACBS
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    jsonAvailable download formats
    Dataset updated
    Nov 21, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Delinquency Rate on Credit Card Loans, All Commercial Banks (DRCCLACBS) from Q1 1991 to Q3 2025 about credit cards, delinquencies, commercial, loans, banks, depository institutions, rate, and USA.

  9. Credit liabilities of households (x 1,000,000)

    • www150.statcan.gc.ca
    Updated Nov 18, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Credit liabilities of households (x 1,000,000) [Dataset]. http://doi.org/10.25318/3610063901-eng
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    Dataset updated
    Nov 18, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Monthly credit aggregates for the household sector, by category.

  10. Student debt from all sources, by province of study and level of study

    • www150.statcan.gc.ca
    • datasets.ai
    • +1more
    Updated Mar 22, 2024
    + more versions
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    Government of Canada, Statistics Canada (2024). Student debt from all sources, by province of study and level of study [Dataset]. http://doi.org/10.25318/3710003601-eng
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    Dataset updated
    Mar 22, 2024
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    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.

  11. Average lending rate of MICs in Canada 2016-2018

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). Average lending rate of MICs in Canada 2016-2018 [Dataset]. https://www.statista.com/statistics/1085843/average-lending-rate-of-mics-in-canada/
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    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Canada
    Description

    In 2018, Mortgage Investment Corporations (MICs) in Canada had an average lending rate of *** percent. MICs are investment vehicles which allow their shareholders to collectively invest in a large pool of residential and commercial mortgage investments. They typically have higher delinquency rates than traditional lenders such as banks and credit unions.

  12. OSAP Repayment Assistance Plan usage

    • open.canada.ca
    • data.ontario.ca
    html, xls, xlsx
    Updated Oct 29, 2025
    + more versions
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    Government of Ontario (2025). OSAP Repayment Assistance Plan usage [Dataset]. https://open.canada.ca/data/en/dataset/3b9866b3-3c08-4cce-bd94-54b01840b0e3
    Explore at:
    xlsx, xls, htmlAvailable download formats
    Dataset updated
    Oct 29, 2025
    Dataset provided by
    Government of Ontariohttps://www.ontario.ca/
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    Data on the number of OSAP loan recipients who received repayment assistance: * 2010-11 OSAP loan recipients who received repayment assistance before July 2013. * 2011-12 OSAP loan recipients who received repayment assistance before July 2014. * 2012-13 OSAP loan recipients who received repayment assistance before July 2015. * 2013-14 OSAP loan recipients who received repayment assistance before July 2016. * 2014-15 OSAP loan recipients who received repayment assistance before July 2017. * 2015-16 OSAP loan recipients who received repayment assistance before July 2018. * 2016-17 OSAP loan recipients who received repayment assistance before July 2019. * 2017-18 OSAP loan recipients who received repayment assistance before July 2020. Data is presented at the following levels: * all of Ontario * postsecondary sector * individual postsecondary institution * individual program of individual postsecondary institution Data fields are: * postsecondary sector (university, college of applied arts and technology, private career college, other private or publicly funded postsecondary institutions) * institution name * program name (starting with the 2014 rates) * number of OSAP loan recipients who last received an OSAP loan in 2010-11, 2011-12, 2012-13, 2013-14, 2014-15, 2015-16, 2016-17, and 2017-18 * number of Repayment Assistance Plan participants as of July 2013, July 2014, July 2015, July 2016, July 2017, July 2018, July 2019, and July 2020 * repayment assistance participation rate for 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020 Get more information about OSAP loan default rates. *[OSAP]: Ontario Student Assistance Program

  13. Loan Servicing Software Market Analysis, Size, and Forecast 2025-2029: North...

    • technavio.com
    pdf
    Updated Apr 29, 2025
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    Technavio (2025). Loan Servicing Software Market Analysis, Size, and Forecast 2025-2029: North America (US and Canada), Europe (France, Germany, Italy, and UK), APAC (China, India, Japan, and South Korea), and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/loan-servicing-software-market-size-industry-analysis
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Apr 29, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2025 - 2029
    Area covered
    United States
    Description

    Snapshot img

    Loan Servicing Software Market Size 2025-2029

    The loan servicing software market size is forecast to increase by USD 3.43 billion, at a CAGR of 13.4% between 2024 and 2029.

    The market is driven by the increasing demand for efficiency in lending operations. Lenders seek to streamline their processes and reduce operational costs, making automated loan servicing solutions increasingly valuable. Strategic partnerships and acquisitions among market participants further fuel market expansion, as they collaborate to offer comprehensive solutions and expand their reach. Creditworthiness is assessed using credit scoring algorithms, alternative data sources, and AI, ensuring lenders mitigate default risk. However, the market faces challenges from open-source loan servicing software, which can offer cost-effective alternatives to proprietary solutions.
    As competition intensifies, companies must differentiate themselves through superior functionality, customer service, and integration capabilities to maintain market share. To capitalize on opportunities and navigate challenges effectively, market players should focus on continuous innovation, strategic partnerships, and robust customer support.
    

    What will be the Size of the Loan Servicing Software Market during the forecast period?

    Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
    Request Free Sample

    The market continues to evolve, driven by the need for system scalability, regulatory reporting, and enhanced user experiences. Loan servicers seek solutions that seamlessly integrate escrow management, automated payment processing, machine learning, and predictive analytics. Hybrid loan servicing models, which combine on-premise and cloud-based systems, are gaining popularity. Loan portfolio management, loan servicing workflow, and loan origination systems are key areas of focus. Mobile loan servicing and loan servicing consulting are also important, as servicers strive for increased efficiency and improved customer communication management. Risk management, data migration, API integration, and document management are essential components of modern loan servicing solutions.

    Default management, foreclosure management, and audit trail are also critical, ensuring regulatory compliance and data integrity. Loan servicing reporting, fraud detection, and loan servicing analytics are crucial for effective decision-making. User experience and loan servicing training are also prioritized, as servicers aim to provide exceptional customer satisfaction. Artificial intelligence and machine learning are transforming loan servicing, enabling predictive analytics and automated loan modification processing. Regulatory reporting and system scalability remain top priorities, as servicers navigate the evolving loan servicing landscape.

    How is this Loan Servicing Software Industry segmented?

    The loan servicing software industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

    Application
    
      Banks
      Credit unions
      Mortgage lenders
      Brokers
      Others
    
    
    Deployment
    
      Cloud-based
      On-premises
    
    
    Component
    
      Software
      Services
    
    
    Sector
    
      Large enterprises
      Small and medium enterprises
    
    
    Geography
    
      North America
    
        US
        Canada
    
    
      Europe
    
        France
        Germany
        Italy
        UK
    
    
      APAC
    
        China
        India
        Japan
        South Korea
    
    
      Rest of World (ROW)
    

    By Application Insights

    The banks segment is estimated to witness significant growth during the forecast period.

    Loan servicing software is a crucial component of loan origination and servicing technologies (LOS) utilized by banks and financial institutions (BFSI). This software streamlines daily operations by enabling BFSI to accept loan applications online through their websites. The convenience of digital applications aligns with customers' preferences for using the Internet and smartphones. LOS solutions offer features such as EMI calculators, loan eligibility ready reckoners, and document checklists, facilitating a seamless application process 24/7. Pre-configured workflows for credit scoring, document checklist, and approvals significantly reduce turnaround time, enhancing operational efficiency by up to 50%. Escrow management, automated payment processing, and loan portfolio management are integral functions of loan servicing software.

    Machine learning and predictive analytics optimize risk management, while user experience and document management ensure customer satisfaction. Cloud-based loan servicing and mobile loan servicing cater to the evolving needs of customers. Loan servicing consulting and automation services help institutions optimize their loan servicing processes.

  14. Debt Settlement Market Analysis, Size, and Forecast 2024-2028: North America...

    • technavio.com
    pdf
    Updated Oct 8, 2024
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    Technavio (2024). Debt Settlement Market Analysis, Size, and Forecast 2024-2028: North America (US and Canada), Europe (France, Germany, Italy, UK), Middle East and Africa , APAC (China, India, Japan, South Korea), South America , and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/debt-settlement-market-industry-analysis
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Oct 8, 2024
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2024 - 2028
    Area covered
    Canada, United States
    Description

    Snapshot img

    Debt Settlement Market Size 2024-2028

    The debt settlement market size is forecast to increase by USD 5.07 billion at a CAGR of 10.3% between 2023 and 2028.

    The market is experiencing significant growth due to the increasing trend of consumers seeking relief from mounting credit card debts. One-time debt settlement has gained popularity as an effective solution for individuals looking to reduce their outstanding debt balances. However, the time-consuming nature of negotiations between debtors and creditors poses a challenge for market expansion. Despite this, the market's strategic landscape remains favorable for companies offering debt settlement services. Key drivers include the rising number of consumers struggling with debt, increasing awareness of debt settlement as a viable debt relief option, and the growing preference for affordable and flexible debt repayment plans.
    Companies seeking to capitalize on market opportunities should focus on streamlining the negotiation process, leveraging technology to enhance customer experience, and building trust and transparency with clients. Effective operational planning and strategic partnerships with creditors can also help companies navigate the challenges of a competitive and complex market.
    

    What will be the Size of the Debt Settlement Market during the forecast period?

    Request Free Sample

    The market encompasses a range of companies offering financial wellness programs to help consumers manage and reduce their debt. These programs include medical Debt collection, consumer debt relief, and financial education resources. Online financial resources and debt management software are increasingly popular, providing consumers with affordable debt solutions and debt negotiation strategies. However, it's crucial for consumers to be aware of debt settlement scams and their settlement success rates. Debt consolidation loans and financial planning tools are also viable options for responsible debt management. Furthermore, financial literacy education and workshops are essential for consumers to understand debt reduction calculators and credit reporting errors.
    Consumer financial protection agencies offer financial counseling services and financial planning advice to promote financial wellness strategies and responsible borrowing. Student loan forgiveness programs are also gaining traction in the market. Overall, the market for debt settlement and financial wellness solutions continues to evolve, with a focus on providing accessible and effective debt relief options for consumers.
    

    How is this Debt Settlement Industry segmented?

    The debt settlement industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

    Type
    
      Credit card debt
      Student loan debt
      Medical debt
      Auto loan debt
      Unsecured personal loan debt
      Others
    
    
    End-user
    
      Individual
      Enterprise
      Government
    
    
    Distribution Channel
    
      Online
      Offline
      Hybrid
    
    
    Service Type
    
      Debt Settlement
      Debt Consolidation
      Debt Management Plans
      Credit Counseling
    
    
    Provider Type
    
      For-profit Debt Settlement Companies
      Non-profit Credit Counseling Agencies
      Law Firms
      Financial Institutions
    
    
    Geography
    
      North America
    
        US
        Canada
    
    
      Europe
    
        France
        Germany
        Italy
        UK
    
    
      Middle East and Africa
    
    
    
      APAC
    
        China
        India
        Japan
        South Korea
    
    
      South America
    
    
    
      Rest of World (ROW)
    

    By Type Insights

    The credit card debt segment is estimated to witness significant growth during the forecast period.

    The market experiences significant activity due to the escalating credit card debt among consumers. In India, for instance, the rising financial hardships faced by borrowers are evident in the increasing credit card defaults. The latest data indicates that credit card defaults in India reached 1.8% in June 2024, a notable increase from 1.7% six months prior and 1.6% in March 2023. This trend underscores the mounting financial pressures on consumers. The outstanding credit card debt in India mirrors this trend, with approximately USD3.25 billion in outstanding balances as of June 2024, a slight increase from the previous year.

    Debt elimination and negotiation strategies, such as debt relief programs and debt consolidation, have become increasingly popular among consumers seeking financial relief. Credit reporting agencies play a crucial role in this process, as they maintain and report consumers' credit histories to lenders. Student loan debt, medical debt, tax debt, and payday loans are other significant contributors to the market. Consumers often turn to debt validation, credit repair, and financial coaching for guidance in managing their debts. Online platforms, mobile apps, and budgeting tools have become esse

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    Learn how you can add new datasets to our index.

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Statista (2025). Rate of arrears to total number of mortgages Canada 2000-2025, by month [Dataset]. https://www.statista.com/statistics/590972/rate-of-arrears-to-total-number-of-mortgages-canada/
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Rate of arrears to total number of mortgages Canada 2000-2025, by month

Explore at:
Dataset updated
Nov 29, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Jan 2000 - Apr 2025
Area covered
Canada
Description

The share of mortgages in arrears in Canada reached an all-time low in 2022, followed by an increase until 2025. As of **********, the rate of mortgage arrears was **** percent, up from **** percent in September 2022.

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