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.

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.

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 Q1 2025 about 60 days +, FR Y-14M, large, balance, mortgage, consumer, banks, depository institutions, rate, and USA.

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.

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 **** million in 2009 to approximately **** million in 2014.

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.

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.

Our foreclosure data offering provides an extensive suite of real-time real estate data, available through both API integration and bulk data delivery. This rich dataset is designed to meet the needs of a variety of users, from real estate investors to foreclosure prevention services and market analysts. With over 31 data points available, this dataset covers multiple aspects of foreclosure processes, including auction details, loan information, foreclosure status, and trustee data. Below is a detailed description of the data points and their potential use cases.

Data Points Overview for Foreclosure Data:

1. Auction Data (9+ Data Points) Auction Location, Auction Time, Case Number, Bid Parameters

2. Loans/Lender Data (9+ Data Points) Lender Name, Original Loan Details, Unpaid Balances, Pre-Foreclosure Flags, Related Documents

3. Foreclosure Status Data (7+ Data Points) Recording Date, Release Date, Status Indicators and Codes

4. Trustee Data (6+ Data Points) Trustee Name, Trustee Address, Trustee Phone Number, Sale Number

Top Use Cases

1. Surface Investment Opportunities Websites and Applications: Integrate our foreclosure data into real estate platforms to provide users with up-to-date information on potential investment properties. This can enhance search functionality and deliver greater value by identifying promising foreclosure opportunities.

2. Foreclosure Prevention Services Sales and Marketing: Leverage foreclosure data to target homeowners in distress with tailored marketing efforts. By identifying properties in pre-foreclosure status, you can focus your outreach to offer services designed to prevent foreclosure, such as financial counseling or loan modification programs.

3. Market Analysis and Predictive Analytics Data-Driven Insights: Utilize the comprehensive dataset to perform in-depth market analysis and develop predictive models. This can help forecast foreclosure trends, assess market conditions, and make informed decisions based on historical and current foreclosure activity.

Access and Delivery

Our foreclosure data is accessible through two primary methods: - API Integration: Seamlessly integrate the data into your applications or platforms with our robust API, offering real-time access and automated updates. - Bulk Data Delivery: Obtain large datasets for offline analysis or integration into internal systems through bulk delivery options, providing flexibility in how you utilize the information.

This comprehensive data listing is designed to empower users with detailed and actionable foreclosure data, facilitating a range of applications from investment analysis to foreclosure prevention and market forecasting.

Provides each month the total number of Maryland Notices of Intent to Foreclose (NOI) by zip code as reported to the Office of Financial Regulation (OFR). For more information and definitions, please see 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.

Foreclosed rental properties registered with the Chicago Department of Housing under the Keep Chicago Renting ordinance.

Prior to 12/12/2022, Owner and Owner Management Agent addresses could not be registered through the registration site so no City, State, or ZIP columns were present in this dataset. Because all previously existing records had Chicago addresses for Owner and Owner Agent, the City and State columns were populated when added to this dataset but ZIP values are only available from 12/12/2022 forward.

The Property Address is always in Chicago.

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

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.

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

In the second quarter of 2024, the share of mortgage loans in the foreclosure process in the U.S. decreased slightly to **** 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.

Analysis of ‘Archival Tax Foreclosures in Detroit, 2002 - 2013’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/a9b41b43-62f7-4416-a818-f59d2ee32e39 on 28 January 2022.

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

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.

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

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.

Click here for metadata (descriptions of the fields).

This statistic shows the average number of days taken to complete a foreclosure in the United States from the first quarter of 2007 to the third quarter of 2018. In the third quarter of 2018, foreclosures in the U.S. were completed, on average, in *** days.

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.

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.