47 datasets found
  1. F

    Large Bank Consumer Mortgage Balances: 30 or More Days Past Due: Including...

    • fred.stlouisfed.org
    json
    Updated Jul 18, 2025
    + more versions
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    (2025). Large Bank Consumer Mortgage Balances: 30 or More Days Past Due: Including Foreclosures Rates: Balances Based [Dataset]. https://fred.stlouisfed.org/series/RCMFLBBALDPDPCT30P
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    jsonAvailable download formats
    Dataset updated
    Jul 18, 2025
    License

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

    Description

    Graph and download economic data for Large Bank Consumer Mortgage Balances: 30 or More Days Past Due: Including Foreclosures Rates: Balances Based (RCMFLBBALDPDPCT30P) from Q3 2012 to Q1 2025 about 30 days +, FR Y-14M, large, balance, mortgage, consumer, banks, depository institutions, rate, and USA.

  2. Foreclosure rate U.S. 2005-2024

    • statista.com
    Updated Jun 20, 2025
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    Statista (2025). Foreclosure rate U.S. 2005-2024 [Dataset]. https://www.statista.com/statistics/798766/foreclosure-rate-usa/
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    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The foreclosure rate in the United States has experienced significant fluctuations over the past two decades, reaching its peak in 2010 at **** percent following the financial crisis. Since then, the rate has steadily declined, with a notable drop to **** percent in 2021 due to government interventions during the COVID-19 pandemic. In 2024, the rate stood slightly higher at **** percent but remained well below historical averages, indicating a relatively stable housing market. Impact of economic conditions on foreclosures The foreclosure rate is closely tied to broader economic trends and housing market conditions. During the aftermath of the 2008 financial crisis, the share of non-performing mortgage loans climbed significantly, with loans 90 to 180 days past due reaching *** percent. Since then, the share of seriously delinquent loans has dropped notably, demonstrating a substantial improvement in mortgage performance. Among other things, the improved mortgage performance has to do with changes in the mortgage approval process. Homebuyers are subject to much stricter lending standards, such as higher credit score requirements. These changes ensure that borrowers can meet their payment obligations and are at a lower risk of defaulting and losing their home. Challenges for potential homebuyers Despite the low foreclosure rates, potential homebuyers face significant challenges in the current market. Homebuyer sentiment worsened substantially in 2021 and remained low across all age groups through 2024, with the 45 to 64 age group expressing the most negative outlook. Factors contributing to this sentiment include high housing costs and various financial obligations. For instance, in 2023, ** percent of non-homeowners reported that student loan expenses hindered their ability to save for a down payment.

  3. Share of U.S. loans in foreclosure processes 2000-2025, by quarter

    • statista.com
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    Statista, Share of U.S. loans in foreclosure processes 2000-2025, by quarter [Dataset]. https://www.statista.com/statistics/205983/total-loans-in-foreclosure-process-in-the-us-since-1990/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In the second quarter of 2025, the share of mortgage loans in the foreclosure process in the U.S. decreased slightly to **** percent. Following the outbreak of the coronavirus crisis, the mortgage delinquency rate spiked to the highest levels since the subprime mortgage crisis (2007-2010). To prevent further impact on homeowners, Congress passed the CARES Act, which provides foreclosure protections for borrowers with federally backed mortgage loans. As a result, the foreclosure rate fell to historically low levels.

  4. Share of U.S. mortgages entering foreclosure processes 2018-2024, by quarter...

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Share of U.S. mortgages entering foreclosure processes 2018-2024, by quarter [Dataset]. https://www.statista.com/statistics/206035/rate-of-loans-entering-foreclosure-process-in-the-us-since-1990/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In the second quarter of 2024, the share one-to-four family residential mortgage loans entering the foreclosure process in the U.S. was **** percent. Following the coronavirus pandemic outbreak in 2020, mortgage delinquency rates surged, followed by a gradual decline. Between the second quarter of 2020 and the first quarter of 2022, foreclosures remained at record low levels due to The Coronavirus Aid, Relief, and Economic Security Act (CARES Act).

  5. Number of properties with foreclosure filings U.S. 2005-2024

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Number of properties with foreclosure filings U.S. 2005-2024 [Dataset]. https://www.statista.com/statistics/798630/number-of-properties-with-foreclosure-filings-usa/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The number of properties with foreclosure filings in the United States declined in 2024, but remained below the pre-pandemic level. Foreclosure filings were reported on approximately ******* properties, which was about ****** fewer than in 2023. Despite the decrease, 2024 saw one of the lowest foreclosure rates on record.

  6. r

    Neighborhood Stabilization Program (NSP) Target Areas

    • rigis.org
    Updated Nov 28, 2008
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    Environmental Data Center (2008). Neighborhood Stabilization Program (NSP) Target Areas [Dataset]. https://www.rigis.org/datasets/neighborhood-stabilization-program-nsp-target-areas-
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    Dataset updated
    Nov 28, 2008
    Dataset authored and provided by
    Environmental Data Center
    Area covered
    Description

    This hosted feature layer has been published in RI State Plane Feet NAD 83.The RI Neighborhood Stabilization Program (NSP) Mapping analysis was performed to assist the Office of Housing and Community Development in identifying target areas with both a Foreclosure Rate (Block Group Level) >=6.5% and a Subprime Loan percentage rate >= 1.4% (Zip Code Level). Based on these criteria the following communities were identified as containing such target areas: Central Falls, Cranston, Cumberland, East Providence, Johnston, North Providence, Pawtucket, Providence, Warwick, West Warwick, and Woonsocket. Federal funding, under the Housing and Economic Recovery Act of 2008 (HERA), Neighborhood Stabilization Program (NSP), totaling $19.6 will be expended in these NSP Target Areas to assist in the rehabilitation and redevelopment of abandoned and foreclosed homes, stabilizing communities.The State of Rhode Island distributes funds allocated, giving priority emphasis and consideration to those areas with the greatest need, including those areas with - 1) Highest percentage of home foreclosures; 2) Highest percentage of homes financed by subprime mortgage loans; and 3) Anticipated increases in rate of foreclosure. The RI Office of Housing and Community Development, with the assistance of Rhode Island Housing, utilized the following sources to meet the above requirements. 1) U.S. Department of Housing & Urban Development (HUD) developed foreclosure data to assist grantees in identification of Target Areas. The State utilized HUD's predictive foreclosure rates to identify those areas which are likely to face a significant rise in the rate of home foreclosures. HUD's methodology factored in Home Mortgage Disclosure Act, income, unemployment, and other information in its calculation. The results were analyzed and revealed a high level of consistency with other needs data available. 2) The State obtained subprime mortgage loan information from the Federal Reserve Bank of Boston. Though the data does not include all mortgages, and was only available at the zip code level rather than Census Tract, findings were generally consistent with other need categories. This data was joined to the Foreclosure dataset in order to select areas with both a Foreclosure Rate >=6.5% and a Subprime Loan Rate >=1.4%. 3) The State also obtained, from the Warren Group, actual local foreclosure transaction records. The Warren Group is a source for real estate and banking news and transaction data throughout New England. This entity has analyzed local deed records in assembling information presented. The data set was normalized due to potential limitations. An analysis revealed a high level of consistency with HUD-predictive foreclosure rates.

  7. Changing the Rules: State Mortgage Foreclosure Moratoria During the Great...

    • icpsr.umich.edu
    Updated Jan 9, 2009
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    Wheelock, David C. (2009). Changing the Rules: State Mortgage Foreclosure Moratoria During the Great Depression [Dataset]. http://doi.org/10.3886/ICPSR24542.v1
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    Dataset updated
    Jan 9, 2009
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Wheelock, David C.
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/24542/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/24542/terms

    Area covered
    United States
    Description

    Many U.S. states imposed temporary moratoria on farm and nonfarm residential mortgage foreclosures during the Great Depression. This article describes the conditions that led some states to impose these moratoria and other mortgage relief during the Depression and discusses the economic effects. Moratoria were more common in states with large farm populations (as a percentage of total state population) and high farm mortgage foreclosure rates, although nonfarm mortgage distress appears to help explain why a few states with relatively low farm foreclosure rates also imposed moratoria. The moratoria reduced farm foreclosure rates in the short run, but they also appear to have reduced the supply of loans and made credit more expensive for subsequent borrowers. The evidence from the Great Depression demonstrates how government actions to reduce foreclosures can impose costs that should be weighed against potential benefits.

  8. a

    Active foreclosure properties in the United States

    • attomdata.com
    attom cloud, csv +2
    Updated Sep 8, 2019
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    ATTOM Data Solutions (2019). Active foreclosure properties in the United States [Dataset]. https://www.attomdata.com/solutions/market-trends-data/foreclosure-activity-report/
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    csv, property navigator, attom cloud, excelAvailable download formats
    Dataset updated
    Sep 8, 2019
    Dataset authored and provided by
    ATTOM Data Solutions
    Description

    Active foreclosure properties that are currently on the market (includes Pre-foreclosure Auction and REO properties). This matches the active listings shown on RealtyTrac. Does not include historical foreclosure data.

  9. Risk of eviction for U.S. homeowners due to foreclosure in 2023

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Risk of eviction for U.S. homeowners due to foreclosure in 2023 [Dataset]. https://www.statista.com/statistics/1251484/foreclosure-risk-for-house-owners-usa/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 18, 2023 - Oct 30, 2023
    Area covered
    United States
    Description

    About ***** percent of U.S. homeowners with a mortgage who were behind on mortgage payments in ************ were very likely to face eviction in the next two months due to a foreclosure. Additionally, ** percent of the respondents were somewhat likely to be evicted. In 2022, the foreclosure rate in the U.S. picked up, after a long period of steady decline after the subprime mortgage crisis.

  10. u

    Canadian and U.S. Residential Mortgage Arrears and Foreclosure Rates -...

    • beta.data.urbandatacentre.ca
    • data.urbandatacentre.ca
    Updated Jul 5, 2023
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    (2023). Canadian and U.S. Residential Mortgage Arrears and Foreclosure Rates - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://beta.data.urbandatacentre.ca/dataset/canadian-and-u-s-residential-mortgage-arrears-and-foreclosure-rates
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    Dataset updated
    Jul 5, 2023
    Area covered
    Canada, United States
    Description

    Residential mortgage arrears and foreclosure rates in Canada and the U.S. from 2002 to today. This table lets housing professionals compare data by type of mortgage in the U.S. and by region in Canada.

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

    • statista.com
    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.

  12. Housing Mortgage Market in the US 2014-2018

    • technavio.com
    pdf
    Updated Oct 22, 2014
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    Technavio (2014). Housing Mortgage Market in the US 2014-2018 [Dataset]. https://www.technavio.com/report/housing-mortgage-market-in-the-us-2014-2018
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    pdfAvailable download formats
    Dataset updated
    Oct 22, 2014
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Area covered
    United States
    Description

    Snapshot img { margin: 10px !important; } About Housing Mortgage Mortgage is a debt instrument that the borrower is obliged to pay back with a fixed set of payments and is secured by the collateral of a specified real estate property. Mortgages enable individuals and businesses to make large real estate purchases without paying the entire value of the purchase in one go. Borrowers repay the loan along with interest over a period of many years until they eventually own the property free and clear. However, if borrowers stop paying the mortgage, the lender can foreclose and may evict the property’s owner and sell it, using the income from the sale to clear the mortgage debt. In a fixed-rate mortgage system, borrowers pay the same interest rate for the life of the loan. Most fixed-rate mortgages have a 15 or 30-year term. There is no influence on borrowers’ payment if market interest rates rise. However, if market interest rates decline significantly, borrowers may be able to secure that lower rate by means of refinancing the mortgage. TechNavio's analysts forecast the Housing Mortgage market in the US to grow at a CAGR of 1.75 percent over the period 2013-2018.Covered in this Report This report covers the present scenario and the growth prospects of the Housing Mortgage market in the US for the period 2014-2018. To calculate the market size, the report considers the loan volume of primary housing mortgage banks, credit unions, and financial institutions. It takes into consideration the various product segments such as Home Purchase, Home Improvement, and Refinancing. The report mentions the role played by Federal Government by the way of government-sponsored enterprises operating in the system. TechNavio's report, the Housing Mortgage Market in the US 2014-2018, has been prepared based on an in-depth market analysis with inputs from industry experts. The report covers the US; it also covers the landscape of the Housing Mortgage market in the US and its growth prospects in the coming years. The report also includes a discussion of the key vendors operating in this market.Key Regions • USKey Vendors • Bank of America • Citigroup • JPMorgan Chase • U.S. Bancorp • Wells FargoOther Prominent Vendors • Ally Financial • Capital One Financial • Fifth Third Bancorp • Flagstar Bank, FSB • SunTrust Banks • Quicken Loans • Regions FinancialMarket Driver • Improved Demand for Home Loans • For a full, detailed list, view our reportMarket Challenge • Shrinking Lending Capacity • For a full, detailed list, view our reportMarket Trend • Less Incidence of Foreclosures • For a full, detailed list, view our reportKey Questions Answered in this Report • What will the market size be in 2018 and what will the growth rate be? • What are the key market trends? • What is driving this market? • What are the challenges to market growth? • Who are the key vendors in this market space? • What are the market opportunities and threats faced by the key vendors? • What are the strengths and weaknesses of the key vendors?

  13. Foreclosure rates on subprime conventional loans in the U.S. 2000-2016

    • statista.com
    Updated Jul 22, 2025
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    Statista (2025). Foreclosure rates on subprime conventional loans in the U.S. 2000-2016 [Dataset]. https://www.statista.com/statistics/206014/us-foreclosure-rates-on-subprime-conventional-loans-since-2000/
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    Dataset updated
    Jul 22, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This statistic shows the foreclosure rates of subprime conventional loans in the United States from 2000 to 2016. In 2016, 7.2 percent of subprime conventional loans were in foreclosure.

  14. u

    Canadian and U.S. Mortgage Arrears and Foreclosure Rates (Archived) -...

    • beta.data.urbandatacentre.ca
    • data.urbandatacentre.ca
    Updated Dec 21, 2014
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    (2014). Canadian and U.S. Mortgage Arrears and Foreclosure Rates (Archived) - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://beta.data.urbandatacentre.ca/dataset/save-page-to-my-folder-save-share-this-page-share-canadian-and-u-s-mortgage-arrears-and-foreclosure
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    Dataset updated
    Dec 21, 2014
    Area covered
    Canada, United States
    Description

    Annual residential mortgage arrears and foreclosure rates in Canada and the U.S. from 1990 to 2013. This table is archived for reference, research and record-keeping purposes only. It is not subject to Government of Canada Web Standards and has not been altered or updated since it was archived.

  15. F

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

    • fred.stlouisfed.org
    json
    Updated Aug 18, 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
    Aug 18, 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 Q2 2025 about domestic offices, delinquencies, 1-unit structures, mortgage, family, residential, commercial, domestic, banks, depository institutions, rate, and USA.

  16. d

    US National Foreclosure Data | Pre-Foreclosure Data | 23M+ Records |...

    • datarade.ai
    .csv, .xls, .txt
    Updated Jan 18, 2025
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    The Warren Group (2025). US National Foreclosure Data | Pre-Foreclosure Data | 23M+ Records | Property Market Data [Dataset]. https://datarade.ai/data-products/us-national-foreclosure-data-pre-foreclosure-data-23m-re-the-warren-group
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    .csv, .xls, .txtAvailable download formats
    Dataset updated
    Jan 18, 2025
    Dataset provided by
    W A Warren, Inc.
    Authors
    The Warren Group
    Area covered
    United States of America
    Description

    Product Overview

    You’re a few short steps away from accessing the largest and most comprehensive Pre-Foreclosure and Foreclosure database in the country. Whether you want to conduct property research, data analysis, purchase distressed properties, or market your services, licensing Pre-Foreclosure and Foreclosure Data provides in-depth intelligence on distressed properties across the country that will inform your next move.

    What is Foreclosure?

    Foreclosure is the legal process of taking possession of a mortgaged property when the borrower fails to keep up with mortgage payments. The foreclosure process varies from state to state, depending on whether the state has a judicial or nonjudicial process. Judicial process requires court action on a foreclosed property, where a nonjudicial process does not.

    Foreclosure and Pre-Foreclosure Data Includes:

    • 9 Different types of Judicial vs Non-Judicial
    • Auctions
    • Public Notices
    • Lis Pendens
    • Releases
    • Defendant and Plaintiff Names
    • Recording Dates, Published Dates, and Auction Dates
    • Original Mortgage Information
  17. O

    Maryland Foreclosure Notice Data by County

    • opendata.maryland.gov
    • datasets.ai
    • +1more
    application/rdfxml +5
    Updated Aug 4, 2025
    + more versions
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    Office of Financial Regulation (2025). Maryland Foreclosure Notice Data by County [Dataset]. https://opendata.maryland.gov/Housing/Maryland-Foreclosure-Notice-Data-by-County/w3bc-8mnv
    Explore at:
    csv, xml, application/rdfxml, application/rssxml, tsv, jsonAvailable download formats
    Dataset updated
    Aug 4, 2025
    Dataset authored and provided by
    Office of Financial Regulation
    Area covered
    Maryland
    Description

    Provides monthly totals of Notices of Intent (NOI), Notices of Foreclosure (NOF), and Foreclosure Property Registrations (FPR) for Maryland Counties as reported to the Office of Financial Regulation (OFR).

    For additional information and definitions, please see the OFR's Foreclosure Data Tracker: https://www.labor.maryland.gov/finance/consumers/frforeclosuredatatracker.shtml.

    NOTE: The data provided is for informational and research purposes only and is not intended to guide policy or provide specific outreach targets. The data provided is compiled from third-party filings with the Office of Financial Regulation (OFR) pursuant to applicable law. These third-party filings may contain duplicates and other errors and the OFR cannot guarantee the accuracy and quality of the submissions upon which the data is based. The data does not constitute foreclosure case records and may differ from the official foreclosure records contained in the court records of the State of Maryland. OFR makes no express or implied warranties or representations concerning the data contained in this report.

  18. Foreclosures on rustic and urban properties Spain 2014-2022, by property...

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Foreclosures on rustic and urban properties Spain 2014-2022, by property type [Dataset]. https://www.statista.com/statistics/772299/foreclosures-on-rustic-and-urban-properties-in-spain/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Spain
    Description

    The number of foreclosures on rustic and urban properties in Spain has decreased since 2014. In 2022, there were approximately ****** foreclosures, with dwellings on urban land accounting for the largest share.

  19. Share of non-performing mortgage loans in the U.S. 2002-2024, by status

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Share of non-performing mortgage loans in the U.S. 2002-2024, by status [Dataset]. https://www.statista.com/statistics/1200777/mortgage-delinquency-united-states-usa-by-delinquency-duration/
    Explore at:
    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The share of non-performing mortgage loans in the United States has declined significantly since the subprime mortgage crisis in 2008. After the burst of the housing bubble, the share of loans which were ** to *** days past due date climbed to *** percent. The fourth quarter of 2010 witnessed the highest rate of loans in foreclosure, bankruptcy, or deed-in-lieu, amounting to **** percent. In the third quarter of 2024, the foreclosure rate stood at *** percent - the lowest figures on record. Meanwhile, the ** to ** days delinquency rate rose to *** percent and the ** to *** days delinquency rate rose to *** percent, showing an uptick in the late mortgage payments.

  20. F

    Nonfarm Real Estate Foreclosures for United States

    • fred.stlouisfed.org
    json
    Updated Aug 17, 2012
    + more versions
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    (2012). Nonfarm Real Estate Foreclosures for United States [Dataset]. https://fred.stlouisfed.org/series/M09075USM476NNBR
    Explore at:
    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 Nonfarm Real Estate Foreclosures for United States (M09075USM476NNBR) from Jan 1934 to Mar 1963 about real estate, nonfarm, and USA.

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(2025). Large Bank Consumer Mortgage Balances: 30 or More Days Past Due: Including Foreclosures Rates: Balances Based [Dataset]. https://fred.stlouisfed.org/series/RCMFLBBALDPDPCT30P

Large Bank Consumer Mortgage Balances: 30 or More Days Past Due: Including Foreclosures Rates: Balances Based

RCMFLBBALDPDPCT30P

Explore at:
jsonAvailable download formats
Dataset updated
Jul 18, 2025
License

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

Description

Graph and download economic data for Large Bank Consumer Mortgage Balances: 30 or More Days Past Due: Including Foreclosures Rates: Balances Based (RCMFLBBALDPDPCT30P) from Q3 2012 to Q1 2025 about 30 days +, FR Y-14M, large, balance, mortgage, consumer, banks, depository institutions, rate, and USA.

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