42 datasets found
  1. F

    Delinquency Rate on Single-Family Residential Mortgages, Booked in Domestic...

    • fred.stlouisfed.org
    json
    Updated May 21, 2025
    + more versions
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    (2025). Delinquency Rate on Single-Family Residential Mortgages, Booked in Domestic Offices, All Commercial Banks [Dataset]. https://fred.stlouisfed.org/series/DRSFRMACBS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    May 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 Single-Family Residential Mortgages, Booked in Domestic Offices, All Commercial Banks (DRSFRMACBS) from Q1 1991 to Q1 2025 about domestic offices, delinquencies, 1-unit structures, mortgage, family, residential, commercial, domestic, banks, depository institutions, rate, and USA.

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

    • statista.com
    • ai-chatbox.pro
    Updated May 27, 2025
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    Statista (2025). 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 updated
    May 27, 2025
    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 first 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.

  3. Great Recession: delinquency rate by loan type in the U.S. 2007-2010

    • statista.com
    Updated Sep 2, 2024
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    Statista (2024). Great Recession: delinquency rate by loan type in the U.S. 2007-2010 [Dataset]. https://www.statista.com/statistics/1342448/global-financial-crisis-us-economic-indicators/
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    Dataset updated
    Sep 2, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2007 - 2012
    Area covered
    United States
    Description

    The Global Financial Crisis of 2008-09 was a period of severe macroeconomic instability for the United States and the global economy more generally. The crisis was precipitated by the collapse of a number of financial institutions who were deeply involved in the U.S. mortgage market and associated credit markets. Beginning in the Summer of 2007, a number of banks began to report issues with increasing mortgage delinquencies and the problem of not being able to accurately price derivatives contracts which were based on bundles of these U.S. residential mortgages. By the end of 2008, U.S. financial institutions had begun to fail due to their exposure to the housing market, leading to one of the deepest recessions in the history of the United States and to extensive government bailouts of the financial sector.

    Subprime and the collapse of the U.S. mortgage market

    The early 2000s had seen explosive growth in the U.S. mortgage market, as credit became cheaper due to the Federal Reserve's decision to lower interest rates in the aftermath of the 2001 'Dot Com' Crash, as well as because of the increasing globalization of financial flows which directed funds into U.S. financial markets. Lower mortgage rates gave incentive to financial institutions to begin lending to riskier borrowers, using so-called 'subprime' loans. These were loans to borrowers with poor credit scores, who would not have met the requirements for a conventional mortgage loan. In order to hedge against the risk of these riskier loans, financial institutions began to use complex financial instruments known as derivatives, which bundled mortgage loans together and allowed the risk of default to be sold on to willing investors. This practice was supposed to remove the risk from these loans, by effectively allowing credit institutions to buy insurance against delinquencies. Due to the fraudulent practices of credit ratings agencies, however, the price of these contacts did not reflect the real risk of the loans involved. As the reality of the inability of the borrowers to repay began to kick in during 2007, the financial markets which traded these derivatives came under increasing stress and eventually led to a 'sudden stop' in trading and credit intermediation during 2008.

    Market Panic and The Great Recession

    As borrowers failed to make repayments, this had a knock-on effect among financial institutions who were highly leveraged with financial instruments based on the mortgage market. Lehman Brothers, one of the world's largest investment banks, failed on September 15th 2008, causing widespread panic in financial markets. Due to the fear of an unprecedented collapse in the financial sector which would have untold consequences for the wider economy, the U.S. government and central bank, The Fed, intervened the following day to bailout the United States' largest insurance company, AIG, and to backstop financial markets. The crisis prompted a deep recession, known colloquially as The Great Recession, drawing parallels between this period and The Great Depression. The collapse of credit intermediation in the economy lead to further issues in the real economy, as business were increasingly unable to pay back loans and were forced to lay off staff, driving unemployment to a high of almost 10 percent in 2010. While there has been criticism of the U.S. government's actions to bailout the financial institutions involved, the actions of the government and the Fed are seen by many as having prevented the crisis from spiraling into a depression of the magnitude of The Great Depression.

  4. Mortgage delinquency rate in the U.S. 2024, by loan type

    • statista.com
    Updated Jan 30, 2025
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    Statista (2025). Mortgage delinquency rate in the U.S. 2024, by loan type [Dataset]. https://www.statista.com/statistics/206494/us-mortgage-delinquency-rates-by-loan-type/
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    Dataset updated
    Jan 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Federal Housing Administration (FHA) loans had the highest delinquency rate in the United States in 2024. As of the second quarter of the year, 10.6 percent of one-to-four family housing mortgage loans were 30 days or more delinquent. This percentage was lower for conventional loans and Veterans Administration loans. Despite a slight increase, the delinquency rate for all mortgages was one of the lowest on record.

  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 January 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 June of 2025.

  6. Depository Institutions: Mortgage and Consumer Loan Portfolios by...

    • catalog.data.gov
    • datasets.ai
    • +1more
    Updated Dec 18, 2024
    + more versions
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    Board of Governors of the Federal Reserve System (2024). Depository Institutions: Mortgage and Consumer Loan Portfolios by Probability of Default [Dataset]. https://catalog.data.gov/dataset/depository-institutions-mortgage-and-consumer-loan-portfolios-by-probability-of-default
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    Dataset updated
    Dec 18, 2024
    Dataset provided by
    Federal Reserve Systemhttp://www.federalreserve.gov/
    Description

    These tables provide additional detail on the loan assets of U.S. depository institutions by reporting mortgage and consumer loan portfolios broken down by the banks' estimates of the probability of default, as defined below. This information facilitates analysis of the potential concentration of risk in specific loan categories. The institutions reporting this information are generally those with $10 billion or more of assets.

  7. T

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

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Aug 17, 2020
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    TRADING ECONOMICS (2020). 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-percent-fed-data.html
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    xml, csv, json, excelAvailable download formats
    Dataset updated
    Aug 17, 2020
    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 1.82% in October of 2024, 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 11.36 in January of 2010 and a record low of 1.40 in January of 2005. 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 June of 2025.

  8. Default rate index of second mortgages in the U.S. 2012-2022

    • statista.com
    Updated Dec 7, 2024
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    Statista (2024). Default rate index of second mortgages in the U.S. 2012-2022 [Dataset]. https://www.statista.com/statistics/1320405/us-second-mortgage-default-rate-index/
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    Dataset updated
    Dec 7, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2012 - May 2022
    Area covered
    United States
    Description

    The S&P/Experian second mortgage default index stood at 0.39 as of May 2022, meaning that based on data from the most recent three months, the annualized share of default second mortgages and home equity loans was 0.39 percent. This was higher than the first mortgage default rate for the same period. Although the index rose in 2022, it remained below the levels observed in December 2017, when it spiked at 1.22 percent.

  9. Rate of arrears to total number of mortgages Canada 2008-2022, by province

    • statista.com
    Updated Jul 27, 2023
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    Statista (2023). Rate of arrears to total number of mortgages Canada 2008-2022, by province [Dataset]. https://www.statista.com/statistics/590972/rate-of-arrears-to-total-number-of-mortgages-canada/
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    Dataset updated
    Jul 27, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Canada
    Description

    The share of mortgages in arrears in Canada decreased for the third year in a row in 2022, reaching tan all-time low. As of December 2022, the rate of mortgage arrears was 0.15 percent, down from 0.42 percent in 2009, when the highest rate was observed. Among the different provinces, the arrears rate was the highest in Saskatchewan at 0.63 percent in December 2023.

  10. Mortgage delinquency rates for VA loans in the U.S. 2000-2024, by quarter

    • statista.com
    Updated Jan 28, 2025
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    Statista (2025). Mortgage delinquency rates for VA loans in the U.S. 2000-2024, by quarter [Dataset]. https://www.statista.com/statistics/205991/us-veterans-administration-loans-since-1990/
    Explore at:
    Dataset updated
    Jan 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The mortgage delinquency rate for Veterans Administration (VA) loans in the United States has decreased since 2020. Under the effects of the coronavirus pandemic, the mortgage delinquency rate for VA loans spiked from 2.81 percent in the first quarter of 2020 to 8.05 percent in the second quarter of the year. In the second quarter of 2024, the delinquency rate amounted to 4.63 percent. Historically, VA mortgages have significantly lower delinquency rate than conventional mortgages.

  11. U.S. mortgage delinquency rates for FHA loans 2000-2024, by quarter

    • statista.com
    Updated Jan 28, 2025
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    Statista (2025). U.S. mortgage delinquency rates for FHA loans 2000-2024, by quarter [Dataset]. https://www.statista.com/statistics/205977/us-federal-housing-administration-loans-since-1990/
    Explore at:
    Dataset updated
    Jan 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The mortgage delinquency rate for Federal Housing Administration (FHA) loans in the United States declined since 2020, when it peaked at 15.65 percent. In the second quarter of 2024, 10.6 percent of FHA loans were delinquent. Historically, FHA mortgages have the highest delinquency rate of all mortgage types.

  12. F

    Delinquency Rate on Commercial Real Estate Loans (Excluding Farmland),...

    • fred.stlouisfed.org
    json
    Updated May 21, 2025
    + more versions
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    (2025). Delinquency Rate on Commercial Real Estate Loans (Excluding Farmland), Booked in Domestic Offices, All Commercial Banks [Dataset]. https://fred.stlouisfed.org/series/DRCRELEXFACBS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    May 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 Commercial Real Estate Loans (Excluding Farmland), Booked in Domestic Offices, All Commercial Banks (DRCRELEXFACBS) from Q1 1991 to Q1 2025 about farmland, domestic offices, delinquencies, real estate, commercial, domestic, loans, banks, depository institutions, rate, and USA.

  13. g

    Number of mortgages/major population

    • gimi9.com
    Updated Jul 5, 2024
    + more versions
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    (2024). Number of mortgages/major population [Dataset]. https://gimi9.com/dataset/eu_833201-4
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    Dataset updated
    Jul 5, 2024
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    The indicator reports the number of credits in progress during the year (without taking into account the year of signature of the contract) to the population aged 18 and over. All loans are registered with the National Bank (including credit openings of less than 1250 euros and repayable within 3 months, which mainly concern overdraft possibilities on bank account). Having credit is therefore not necessarily an indicator of "over-indebtedness risk". At the end of 2013, only 7.3% of Walloons with outstanding credits are in default of payment for credit. Note: the data at contract level are disseminated by postal code on the website of the personal credit centre. They have been aggregated at the municipal level by IWEPS. It is possible that this aggregation leads to some double counting. When a credit is taken out by several people who do not live in the same postal code, the data are included in the file for each of the postal codes concerned. If two contractors live in the same municipality but not in the same postal code, there will be duplication in the information related to the credit (amount, number, ...). These cases are probably rare because loans to several borrowers most often concern people domiciled at the same address. See also: - the website of the National Bank of Belgium (NBB), "\2".

  14. d

    Replication Code for: \"What Triggers Mortgage Default? New Evidence from...

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 8, 2023
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    Low, David (2023). Replication Code for: \"What Triggers Mortgage Default? New Evidence from Linked Administrative and Survey Data\" [Dataset]. http://doi.org/10.7910/DVN/WHOPIM
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    Dataset updated
    Nov 8, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Low, David
    Description

    This is replication code for the paper "What Triggers Mortgage Default? New Evidence from Linked Administrative and Survey Data"

  15. g

    Depository Institutions: Mortgage and Consumer Loan Portfolios by...

    • gimi9.com
    Updated Feb 11, 2016
    + more versions
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    (2016). Depository Institutions: Mortgage and Consumer Loan Portfolios by Probability of Default | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_depository-institutions-mortgage-and-consumer-loan-portfolios-by-probability-of-default/
    Explore at:
    Dataset updated
    Feb 11, 2016
    Description

    These tables provide additional detail on the loan assets of U.S. depository institutions by reporting mortgage and consumer loan portfolios broken down by the banks' estimates of the probability of default, as defined below. This information facilitates analysis of the potential concentration of risk in specific loan categories. The institutions reporting this information are generally those with $10 billion or more of assets.

  16. H

    Replication Data for: 'Why Do Borrowers Default on Mortgages?'

    • dataverse.harvard.edu
    Updated Apr 7, 2023
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    Peter Ganong; Pascal Noel (2023). Replication Data for: 'Why Do Borrowers Default on Mortgages?' [Dataset]. http://doi.org/10.7910/DVN/SDNMSR
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 7, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Peter Ganong; Pascal Noel
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    The programs replicate tables and figures from "Why Do Borrowers Default on Mortgages?", by Ganong and Noel. Please see the README file for additional details.

  17. F

    Mortgage Delinquency Rates for United States

    • fred.stlouisfed.org
    json
    Updated Aug 17, 2012
    + more versions
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    (2012). Mortgage Delinquency Rates for United States [Dataset]. https://fred.stlouisfed.org/series/Q09084USQ507NNBR
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    jsonAvailable download formats
    Dataset updated
    Aug 17, 2012
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    United States
    Description

    Graph and download economic data for Mortgage Delinquency Rates for United States (Q09084USQ507NNBR) from Q3 1953 to Q2 1963 about delinquencies, mortgage, rate, and USA.

  18. Default rate of commercial real estate loans in the UK 2019-2020

    • statista.com
    Updated Nov 17, 2022
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    Statista (2022). Default rate of commercial real estate loans in the UK 2019-2020 [Dataset]. https://www.statista.com/statistics/1247262/default-rate-of-commercial-real-estate-loans-in-the-uk/
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    Dataset updated
    Nov 17, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    Since the start of the coronavirus (COVID-19) crisis, many businesses have had to close their doors or have struggled to pay rent. As a result, commercial property landlords suffered loss of income, leading to failure to repay mortgage loans. In 2020, the default rate of commercial real estate mortgages rose to 4.6 percent, which is the highest value observed since the global financial crisis.

  19. H

    Replication data for: "Liquidity Problems and Early Payment Default Among...

    • dataverse.harvard.edu
    Updated May 26, 2017
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    Harvard Dataverse (2017). Replication data for: "Liquidity Problems and Early Payment Default Among Subprime Mortgages" [Dataset]. http://doi.org/10.7910/DVN/OS3EDE
    Explore at:
    tsv(568965), application/x-stata-syntax(4175), tsv(839836), application/x-stata-syntax(3549), tsv(4325), tsv(26451513), docx(15584), application/x-stata-syntax(433), application/x-stata-syntax(6214), application/x-stata-syntax(564), tsv(10774296), application/x-stata-syntax(5165), application/x-stata-syntax(1979)Available download formats
    Dataset updated
    May 26, 2017
    Dataset provided by
    Harvard Dataverse
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Anderson, Nathan B., and Dokko, Jane K., (2016) "Liquidity Problems and Early Payment Default Among Subprime Mortgages." Review of Economics and Statistics 98:5, 897-912.

  20. D

    Reverse Mortgage Providers Market Report | Global Forecast From 2025 To 2033...

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Reverse Mortgage Providers Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-reverse-mortgage-providers-market
    Explore at:
    pptx, pdf, csvAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Reverse Mortgage Providers Market Outlook




    The global reverse mortgage providers market size was valued at approximately USD 200 billion in 2023 and is projected to reach nearly USD 400 billion by 2032, growing at a CAGR of 7.5% over the forecast period. The growth of this market is significantly driven by the increasing aging population and the need for financial security among retirees. As the baby boomer generation continues to age, the demand for reverse mortgages, which allow seniors to convert part of the equity in their homes into cash, is expected to rise considerably.




    One of the primary growth factors for the reverse mortgage providers market is the increasing life expectancy and the consequent rise in the elderly population. With people living longer, there is a heightened need for sustained financial resources to support longer retirement periods. Reverse mortgages offer a viable solution by enabling homeowners to tap into their home equity without having to move out or make monthly mortgage payments. This financial product has gained popularity as an effective way for seniors to ensure a steady stream of income during their retirement years.




    Another major factor contributing to the market growth is the growing awareness and acceptance of reverse mortgages as a financial planning tool. Financial advisors and counselors are increasingly recommending reverse mortgages as part of a diversified retirement strategy. Additionally, government initiatives and regulations supporting the use of reverse mortgages have helped in building credibility and trust among potential users. For instance, the U.S. Department of Housing and Urban Development (HUD) offers Home Equity Conversion Mortgages (HECM), which are insured by the Federal Housing Administration (FHA), thereby providing a safety net for seniors considering this option.




    Technological advancements and digitization in the financial services sector have also played a crucial role in the marketÂ’s expansion. The rise of online platforms and mobile applications has made it easier for seniors to access information and apply for reverse mortgages. Digital tools and resources offer convenience and transparency, enabling users to make informed decisions. Moreover, the integration of artificial intelligence and machine learning in financial services has streamlined the application process, reduced paperwork, and improved customer experience.



    Private Mortgage Insurance (PMI) is another important aspect of the broader mortgage landscape that can influence the decision-making process for homeowners considering reverse mortgages. While PMI is typically associated with traditional mortgages, where it protects lenders in case of borrower default, its principles underscore the importance of risk management in financial products. For reverse mortgage seekers, understanding the nuances of PMI can provide insights into how different mortgage products are structured to mitigate risk. This knowledge can be particularly beneficial when assessing the financial implications and long-term commitments involved in reverse mortgages, ensuring that homeowners make informed choices that align with their financial goals.




    Regionally, North America dominates the reverse mortgage providers market, driven by the high adoption rate and favorable regulatory environment. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period, attributed to the rapidly aging population and increasing awareness of reverse mortgage products. In Europe, the market is also growing steadily, supported by government policies encouraging financial independence among seniors. Latin America and the Middle East & Africa are gradually emerging as potential markets, although they currently hold a smaller share compared to other regions.



    Product Type Analysis




    The reverse mortgage providers market is segmented by product type into Home Equity Conversion Mortgages (HECM), Proprietary Reverse Mortgages, and Single-Purpose Reverse Mortgages. HECMs are the most popular type and are federally insured, offering several advantages including flexible payment options and non-recourse protection. As a government-backed product, HECMs have stringent eligibility criteria and counseling requirements, ensuring that borrowers fully understand the implications of their financial de

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(2025). Delinquency Rate on Single-Family Residential Mortgages, Booked in Domestic Offices, All Commercial Banks [Dataset]. https://fred.stlouisfed.org/series/DRSFRMACBS

Delinquency Rate on Single-Family Residential Mortgages, Booked in Domestic Offices, All Commercial Banks

DRSFRMACBS

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33 scholarly articles cite this dataset (View in Google Scholar)
jsonAvailable download formats
Dataset updated
May 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 Single-Family Residential Mortgages, Booked in Domestic Offices, All Commercial Banks (DRSFRMACBS) from Q1 1991 to Q1 2025 about domestic offices, delinquencies, 1-unit structures, mortgage, family, residential, commercial, domestic, banks, depository institutions, rate, and USA.

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