100+ datasets found
  1. Foreclosure rate U.S. 2005-2024

    • statista.com
    • flwrdeptvarieties.store
    Updated Jan 22, 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
    Jan 22, 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 2.23 percent following the financial crisis. Since then, the rate has steadily declined, with a notable drop to 0.11 percent in 2021 due to government interventions during the COVID-19 pandemic. In 2024, the rate stood slightly higher at 0.23 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 4.6 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, 52 percent of non-homeowners reported that student loan expenses hindered their ability to save for a down payment.

  2. Number of properties with foreclosure filings U.S. 2005-2023

    • statista.com
    Updated Apr 15, 2024
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    Statista (2024). Number of properties with foreclosure filings U.S. 2005-2023 [Dataset]. https://www.statista.com/statistics/798630/number-of-properties-with-foreclosure-filings-usa/
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    Dataset updated
    Apr 15, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The number of properties with foreclosure filings in the United States rose in 2023, but remained below the pre-pandemic level. Foreclosure filings were reported on approximately 357,000 properties, which was about 33,000 more than in 2022. Despite the increase, 2023 saw one of the lowest foreclosure rates on record.

  3. d

    Monthly Foreclosures in CT

    • catalog.data.gov
    • data.ct.gov
    Updated Aug 12, 2023
    + more versions
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    data.ct.gov (2023). Monthly Foreclosures in CT [Dataset]. https://catalog.data.gov/dataset/monthly-foreclosures-in-ct
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    Dataset updated
    Aug 12, 2023
    Dataset provided by
    data.ct.gov
    Area covered
    Connecticut
    Description

    Monthly foreclosures in Connecticut by county, 2008 through the present. Data updated monthly by the Connecticut Housing Finance Authority and tracked in the following dashboard: https://www.chfa.org/about-us/ct-monthly-housing-market-dashboard/. CHFA has stopped maintaining the dashboard and associated datasets, and this dataset will no longer be updated as of 2022.

  4. F

    Large Bank Consumer Mortgage Balances: 60 or More Days Past Due: Including...

    • fred.stlouisfed.org
    json
    Updated Feb 20, 2025
    + more versions
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    (2025). Large Bank Consumer Mortgage Balances: 60 or More Days Past Due: Including Foreclosures Rates: Balances Based [Dataset]. https://fred.stlouisfed.org/series/RCMFLBBALDPDPCT60P
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    jsonAvailable download formats
    Dataset updated
    Feb 20, 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: 60 or More Days Past Due: Including Foreclosures Rates: Balances Based (RCMFLBBALDPDPCT60P) from Q3 2012 to Q3 2024 about 60 days +, FR Y-14M, large, balance, mortgage, consumer, banks, depository institutions, rate, and USA.

  5. Impact of Foreclosures on Neighborhood Crime in Five Cities in the United...

    • catalog.data.gov
    • datasets.ai
    • +2more
    Updated Mar 12, 2025
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    National Institute of Justice (2025). Impact of Foreclosures on Neighborhood Crime in Five Cities in the United States, 2002-2011 [Dataset]. https://catalog.data.gov/dataset/impact-of-foreclosures-on-neighborhood-crime-in-five-cities-in-the-united-states-2002-2011
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    Dataset updated
    Mar 12, 2025
    Dataset provided by
    National Institute of Justicehttp://nij.ojp.gov/
    Area covered
    United States
    Description

    These data are part of NACJD's Fast Track Release and are distributed as they there received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except of the removal of direct identifiers. Users should refer to the accompany readme file for a brief description of the files available with this collections and consult the investigator(s) if further information is needed.The purpose of the study was to examine whether and how foreclosures affect neighborhood crime in five cities in the United States. Point-specific crime data was provide by the New York (New York) Police Department, the Chicago (Illinois) Police Department, the Miami (Florida) Police Department, the Philadelphia (Pennsylvania) Police Department, and the Atlanta (Georgia) Police Department. Researchers also created measures of violent and property crimes based on Uniform Crime Report (UCR) categories, and a measure of public order crime, which includes less serious offenses including loitering, prostitution, drug crimes, graffiti, and weapons offenses. Researchers obtained data on the number of foreclosure notices (Lis Pendens) filed, the number of Lis Pendens filed that do not become real estate owned (REO), and number of REO properties from court fillings, mortgage deeds and tax assessor's offices.

  6. Number of housing units with foreclosure filings in the U.S. 2006-2014

    • statista.com
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    Statista, Number of housing units with foreclosure filings in the U.S. 2006-2014 [Dataset]. https://www.statista.com/statistics/381400/housing-units-with-foreclosure-filings-usa/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2006 - 2014
    Area covered
    United States
    Description

    This statistic presents the number of housing units with foreclosure filings in the United States from 2006 to 2014. The number of properties with foreclosure filings decreased from approximately 2.82 million in 2009 to approximately 1.12 million in 2014.

  7. 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 authored and provided by
    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
  8. 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/graph/?id=M09075USM476NNBR
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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 Nonfarm Real Estate Foreclosures for United States from Jan 1934 to Mar 1963 about real estate, nonfarm, and USA.

  9. d

    Louisville Metro KY - Property Foreclosures

    • datasets.ai
    • catalog.data.gov
    15, 21, 3, 8
    Updated Aug 6, 2024
    + more versions
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    Louisville Metro Government (2024). Louisville Metro KY - Property Foreclosures [Dataset]. https://datasets.ai/datasets/louisville-metro-ky-property-foreclosures
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    15, 3, 8, 21Available download formats
    Dataset updated
    Aug 6, 2024
    Dataset authored and provided by
    Louisville Metro Government
    Area covered
    Kentucky, Louisville
    Description

    All Metro initiated foreclosures filed from 9/25/2012 to the present.

    Develop Louisville Focuses on the full range of land development activities, including planning and design, vacant property initiatives, advanced planning, housing & community development programs, permits and licensing, land acquisition, public art and clean and green sustainable development partnerships.

    Data Dictionary:
    1. House Nr – Street number of property address
    2. Dir – Cardinal direction of property address (N, S, E, W)
    3. Street Name
    4. St Type – Type of street (St, Rd, Dr, Ave, Blvd, etc)
    5. Post Dir – Suffix of property address (Half, Rear)
    6. Zip – Zip code
    7. CD – Council District in which the property is located
    8. Neighborhood – Neighborhood in which the property is located
    9. Full Parcel ID - Parcel ID of the subject property
    10. Census Tract – Census tract in which the property is located
    11. Action Filed – Date that Louisville Metro Government filed the foreclosure action in court
    12. Case# – Foreclosure civil case number
    13. Case Style – The name of the foreclosure case (For example: Louisville Metro Government vs. Property Owner)
    14. Sale Date – The date the property was sold (or will be sold) at the Jefferson Circuit Court Commissioner’s auction. If this column is blank, the sale has not been scheduled.
    15. Sale Price – The price the property sold for at the Jefferson Circuit Court Commissioner’s auction.
    16. Purchaser – The name of the person or entity that purchased the property at the Jefferson Circuit Court Commissioner’s auction.
    Contact:
    Tia Bowman

  10. d

    Archival Tax Foreclosures in Detroit, 2002 - 2013

    • catalog.data.gov
    • portal.datadrivendetroit.org
    • +4more
    Updated Feb 21, 2025
    + more versions
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    Data Driven Detroit (2025). Archival Tax Foreclosures in Detroit, 2002 - 2013 [Dataset]. https://catalog.data.gov/dataset/archival-tax-foreclosures-in-detroit-2002-2013-d05d6
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    Dataset updated
    Feb 21, 2025
    Dataset provided by
    Data Driven Detroit
    Area covered
    Detroit
    Description

    Wayne County follows a relatively fixed process for initiating tax foreclosures. The county serves notice to any parcel that is more than three years delinquent on property tax payments, and these properties are then sold to the highest bidder in two auctions - one in early September, and one in October. While there have been some exceptions to this schedule (a June 2012 auction of unsold foremost among them), properties listed in the September tax auction represent a strong proxy for identifying the universe of tax-foreclosed properties. This file identifies parcels within the City of Detroit that were listed in the September Wayne County tax foreclosure auction in any year from 2002 through 2013. It contains information on year of foreclosure, as well as the total number of times that a property has been subject to tax foreclosure. The work to produce this dataset was conducted in September 2013, and the data were subsequently integrated into the Motor City Mapping project. The purpose of this file is to help provide information on how Detroit's tax foreclosure crisis has developed over time, enabling community members and decision-makers to make more informed decisions when developing strategies to combat this growing problem. Metadata associated with this file includes field description metadata and a narrative summary detailing the creation of the dataset. For more information on the Motor City Mapping project, please visit www.motorcitymapping.org, and to learn more about the Wayne County Tax Foreclosure process, please visit this website: http://www.waynecounty.com/treasurer/783.htm.

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

    • statista.com
    Updated May 22, 2024
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    Statista (2024). 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/
    Explore at:
    Dataset updated
    May 22, 2024
    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 26,000 foreclosures, with dwellings on urban land accounting for the largest share.

  12. Property Foreclosures by Census Tract

    • catalog.data.gov
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +1more
    Updated Feb 28, 2025
    + more versions
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    City of Seattle ArcGIS Online (2025). Property Foreclosures by Census Tract [Dataset]. https://catalog.data.gov/dataset/property-foreclosures-by-census-tract-21f00
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    Dataset updated
    Feb 28, 2025
    Dataset provided by
    Description

    Displacement risk indicator showing the number of property transactions recorded by the King County Assessor as foreclosures; available for every year from 2004 through the most recent year of available data.

  13. Number of housing units in foreclosure in the U.S. 2017, by state

    • statista.com
    Updated Nov 6, 2020
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    Statista (2020). Number of housing units in foreclosure in the U.S. 2017, by state [Dataset]. https://www.statista.com/statistics/203225/us-states-with-the-most-foreclosure-filings/
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    Dataset updated
    Nov 6, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 2017
    Area covered
    United States
    Description

    The statistic presents the number of housing units in foreclosure in the United States as of September 2017, by state. There were 2,41 million houses in foreclosure in Maryland in September 2017.

  14. l

    Foreclosures in numbers

    • localauction.ch
    Updated Jan 17, 2025
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    (2025). Foreclosures in numbers [Dataset]. https://www.localauction.ch/en
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    Dataset updated
    Jan 17, 2025
    Description

    The numbers of foreclosures refer to the year 2024 and are based on data from Swiss cantons.

  15. Share of U.S. loans in foreclosure processes 2000-2024, by quarter

    • statista.com
    Updated Jan 28, 2025
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    Statista (2025). Share of U.S. loans in foreclosure processes 2000-2024, by quarter [Dataset]. https://www.statista.com/statistics/205983/total-loans-in-foreclosure-process-in-the-us-since-1990/
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    Dataset updated
    Jan 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In the second quarter of 2024, the share of mortgage loans in the foreclosure process in the U.S. decreased slightly to 0.43 percent. Following the outbreak of the coronavirus crisis, mortgage delinquency rates spiked to the highest levels since the Subprime mortgage crisis (2007-2010). To prevent further impact on homeowners, Congress passed the CARES Act that provides foreclosure protections for borrowers with federally backed mortgage loans. As a result, the foreclosure rate fell to historically low levels.

  16. d

    2022 Registered Foreclosure Properties

    • catalog.data.gov
    • data.lacity.org
    Updated Jan 6, 2023
    + more versions
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    data.lacity.org (2023). 2022 Registered Foreclosure Properties [Dataset]. https://catalog.data.gov/dataset/2022-registered-foreclosure-properties
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    Dataset updated
    Jan 6, 2023
    Dataset provided by
    data.lacity.org
    Description

    2022 Foreclosure Properties registered with the LAHD from January 1, 2022 through December 31, 2022.

  17. a

    Detroit Tax Foreclosures 2002-2019

    • data-ferndale.opendata.arcgis.com
    • portal.datadrivendetroit.org
    • +2more
    Updated May 3, 2021
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    Data Driven Detroit (2021). Detroit Tax Foreclosures 2002-2019 [Dataset]. https://data-ferndale.opendata.arcgis.com/datasets/33420a419a224e66b6a608cb08f15c1a
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    Dataset updated
    May 3, 2021
    Dataset authored and provided by
    Data Driven Detroit
    Area covered
    Detroit
    Description

    Click here for metadata (descriptions of the fields).

  18. A

    ‘Property Foreclosures by Census Tract’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Jan 27, 2022
    + more versions
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘Property Foreclosures by Census Tract’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-property-foreclosures-by-census-tract-46e6/latest
    Explore at:
    Dataset updated
    Jan 27, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘Property Foreclosures by Census Tract’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/90caf3d7-1572-4c99-8296-02ae49b48825 on 27 January 2022.

    --- Dataset description provided by original source is as follows ---

    Displacement risk indicator showing the number of property transactions recorded by the King County Assessor as foreclosures; available for every year from 2004 through the most recent year of available data.

    --- Original source retains full ownership of the source dataset ---

  19. i

    Foreclosures on rustic and urban properties begun and registered in Land...

    • ine.es
    csv, html, json +4
    Updated Mar 6, 2025
    + more versions
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    INE - Instituto Nacional de Estadística (2025). Foreclosures on rustic and urban properties begun and registered in Land Registries by Autonomous Community and cities [Dataset]. https://www.ine.es/jaxiT3/Tabla.htm?t=49281&L=1
    Explore at:
    xls, txt, json, xlsx, csv, html, text/pc-axisAvailable download formats
    Dataset updated
    Mar 6, 2025
    Dataset authored and provided by
    INE - Instituto Nacional de Estadística
    License

    https://www.ine.es/aviso_legalhttps://www.ine.es/aviso_legal

    Time period covered
    Jan 1, 2014 - Jan 1, 2024
    Variables measured
    Type of data, Nature of the property, Autonomous Communities and Cities
    Description

    Foreclosure Statistics: Foreclosures on rustic and urban properties begun and registered in Land Registries by Autonomous Community and cities. Annual. Autonomous Communities and Cities.

  20. d

    Allegheny County Mortgage Foreclosure Records

    • catalog.data.gov
    Updated May 14, 2023
    + more versions
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    Allegheny County (2023). Allegheny County Mortgage Foreclosure Records [Dataset]. https://catalog.data.gov/dataset/allegheny-county-mortgage-foreclosure-records
    Explore at:
    Dataset updated
    May 14, 2023
    Dataset provided by
    Allegheny County
    Description

    This data includes filings related to mortgage foreclosure in Allegheny County. The foreclosure process enables a lender to take possession of a property due to an owner's failure to make mortgage payments. Mortgage foreclosure differs from tax foreclosure, which is a process enabling local governments to take possession of a property if the owner fails to pay property taxes. As Pennsylvania is a judicial foreclosure state, a lender files for foreclosure through the court system. Foreclosure data in the court system is maintained by the Allegheny County Department of Court Records. Data included here is from the general docket, and a mortgage foreclosure docket created to help homeowners maintain ownership of their property following an initial filing. Several different types of legal filings may occur on a property involved in the foreclosure process. At this time, only the most recent filing in a case is included in the data found here, but we hope to add all filings for a case in the coming months. After a property enters the foreclosure process, several potential outcomes are possible. Some of the more common outcomes include: borrowers may come to an agreement with the lender for unpaid debt; borrowers may sell the property to satisfy part or all of the debt; borrowers may voluntarily relinquish ownership to the lender; lenders may decide not to pursue the foreclosure any further; and the property may proceed all the way through a sheriff sale, where it is sold to a new owner. Before September 2022, the data presented here included only the final filing for the month in which each case (represented by Case ID) is opened; since then the feed has changed so we now have a new last_activity field, which gets updated whenever there is a new filing in the case with the date of the last filing for the month. The last_activity value gives some indication of which cases are still ongoing. (However, the new feed does not include the docket_type field, so these are blank for cases started after August 2022.) To view the detailed mortgage foreclosure filings for each property represented in this dataset, please visit the Department of Court Records Website, and enter the Case ID for a property to pull-up detailed information about each foreclosure case, including parties, docket entries, and services. Changelog 2022-12-14: Loaded data back to September (which had been missing due to the schema migration). Added a new last_activity field. Data since September 2022 is missing the docket_type value, for now those new values will be set to '' (empty string). Visualizations

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Statista (2025). Foreclosure rate U.S. 2005-2024 [Dataset]. https://www.statista.com/statistics/798766/foreclosure-rate-usa/
Organization logo

Foreclosure rate U.S. 2005-2024

Explore at:
7 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jan 22, 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 2.23 percent following the financial crisis. Since then, the rate has steadily declined, with a notable drop to 0.11 percent in 2021 due to government interventions during the COVID-19 pandemic. In 2024, the rate stood slightly higher at 0.23 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 4.6 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, 52 percent of non-homeowners reported that student loan expenses hindered their ability to save for a down payment.

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