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.

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.

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

This statistic shows the foreclosure filings in the United States as of June 2017, by state. South Dakota had the lowest rate with only one in every 24,583 housing units being subject to foreclosure.

Graph and download economic data for Large Bank Consumer Mortgage Balances: 60 or More Days Past Due: Including Foreclosures Rates: Accounts Based (RCMFLBACTDPDPCT60P) from Q3 2012 to Q4 2024 about 60 days +, accounts, FR Y-14M, large, balance, mortgage, consumer, banks, depository institutions, rate, and USA.

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 322,100 properties, which was about 34,900 fewer than in 2023. Despite the decrease, 2024 saw one of the lowest foreclosure rates on record.

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.

the start of self-acquired foreclosure info

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.

Comprehensive dataset of 3,454 Foreclosure services in United States as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

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).

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed. The study integrated neighborhood-level data on robbery and burglary gathered from local police agencies across the United States, foreclosure data from RealtyTrac (a real estate information company), and a wide variety of social, economic, and demographic control variables from multiple sources. Using census tracts to approximate neighborhoods, the study regressed 2009 neighborhood robbery and burglary rates on foreclosure rates measured for 2007-2008 (a period during which foreclosure spiked dramatically in the nation), while accounting for 2007 robbery and burglary rates and other control variables that captured differences in social, economic, and demographic context across American neighborhoods and cities for this period. The analysis was based on more than 7,200 census tracts in over 60 large cities spread across 29 states. Core research questions were addressed with a series of multivariate multilevel and single-level regression models that accounted for the skewed nature of neighborhood crime patterns and the well-documented spatial dependence of crime. The study contains one data file with 8,198 cases and 99 variables.

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 713 days.

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.

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.

In 2008, the Department of Housing and Urban Development (HUD) created a Neighborhood Stabilization Program to provide emergency assistance to state and local governments to acquire and redevelop foreclosed properties that might otherwise become sources of abandonment and blight within their communities. This program provides grants to every state, certain local communities, and other organizations to purchase foreclosed or abandoned homes and to rehabilitate, resell, or redevelop these homes in order to stabilize neighborhoods and stem the decline of house values of neighboring homes. This map scores neighborhoods in the bay area on a scale of 1 to 20 where 20 indicates areas in the highest 20% of risk nationwide for home foreclosures and abandonment. 1 indicates areas with lowest risk.This ranking is based upon the following factors developed by HUD:whether or not loans are high cost or highly leveraged in the neighborhoodchange in home values for the metropolitan, or non-metropolitan portion of the stateunemployment rate for the county in 2008, andthe change in unemployment in the county between 2007 and 2008.HUD is providing its data on estimated foreclosures (based on risk) and vacancy data to assist state and local governments in their efforts to target the communities and neighborhoods with the greatest needs. HUD recommends that if states and local governments have local data, such as county data on foreclosure filings, that those data also be given serious consideration in identifying areas of greatest needs.Map Source: https://www.huduser.org/portal/datasets/nsp.html

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.

United States NCUA: Federal: Assets: Foreclosed & Repossessed Assets data was reported at 411,386.236 USD th in Jun 2018. This records a decrease from the previous number of 433,337.706 USD th for Mar 2018. United States NCUA: Federal: Assets: Foreclosed & Repossessed Assets data is updated quarterly, averaging 495,731.809 USD th from Mar 2005 (Median) to Jun 2018, with 54 observations. The data reached an all-time high of 902,193.688 USD th in Mar 2011 and a record low of 112,537.612 USD th in Jun 2005. United States NCUA: Federal: Assets: Foreclosed & Repossessed Assets data remains active status in CEIC and is reported by National Credit Union Administration. The data is categorized under Global Database’s United States – Table US.KB045: Financial Data: National Credit Union Administration: Federal Institutions.

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.

This statistic shows the number of properties with foreclosure filings in selected cities in the United States in the first half of 2018. In that period, there were 3,578 properties with foreclosure filings in Philadelphia, Pennsylvania.