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.

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.

Graph and download economic data for Large Bank Consumer Mortgage Balances: 90 or More Days Past Due: Including Foreclosures Rates: Balances Based (RCMFLBBALDPDPCT90P) from Q3 2012 to Q1 2025 about 90 days +, 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 ******* properties, which was about ****** fewer than in 2023. Despite the decrease, 2024 saw one of the lowest foreclosure rates on record.

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.

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).

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

View quarterly updates and historical trends for Florida Consumers With New Foreclosure. Source: Federal Reserve Bank of New York. Track economic data wit…

View quarterly updates and historical trends for US Consumers with New Foreclosure. from United States. Source: Federal Reserve Bank of New York. Track ec…

The emerging body of research suggests the unprecedented increase in housing foreclosures and unemployment between 2007 and 2009 had detrimental effects on health. Using data from electronic health records of 105,919 patients with diabetes in Northern California, this study examined how increases in foreclosure rates from 2006 to 2010 affected weight change. We anticipated that two of the pathways that explain how the spike in foreclosure rates affects weight gain—increasing stress and declining salutary health behaviors- would be acute in a population with diabetes because of metabolic sensitivity to stressors and health behaviors. Controlling for unemployment, housing prices, temporal trends, and time-invariant confounders with individual fixed effects, we found no evidence of an association between the foreclosure rate in each patient's census block of residence and body mass index. Our results suggest, although more than half of the population was exposed to at least one foreclosure within their census block, the foreclosure crisis did not independently impact weight change.

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.

The portion of the homes and condominiums sold that were identified as being owned by the bank (REO) out of all residential properties sold in a calendar year.Source: RBIntel Years Available: 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023

Foreclosure Statistics: Foreclosures on rustic and urban properties begun and registered in Land Registries by province. Annual. Provinces.

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.

The percentage of properties where the lending company or loan servicer has filed a foreclosure proceeding with the Baltimore City Circuit Court out of all residential properties within an area. This is not a measure of actual foreclosures since not every property that receives a filing results in a property dispossession. Source: Baltimore City Circuit Court Years Available: 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020

I study the implications of two major debt-relief policies in the United States: the Bankruptcy Abuse Prevention and Consumer Protection Act (BAPCPA) and the Home Affordable Refinance Program (HARP). To do so, I develop a model of housing and default that includes relevant dimensions of credit-market policy and captures rich heterogeneity in household balance sheets. The model also explains the observed cross-state variation in consumer default rates. I find that BAPCPA significantly reduced bankruptcy rates, but increased foreclosure rates when house prices fell. HARP reduced foreclosures by 1 percentage point and provided substantial welfare gains to households with high loan-to-value mortgages.

Foreclosure Services Market Outlook

According to our latest research, the global foreclosure services market size reached USD 7.9 billion in 2024, driven by increasing rates of mortgage defaults and evolving regulatory frameworks. The market is projected to grow at a CAGR of 6.2% from 2025 to 2033, reaching an estimated USD 13.6 billion by 2033. The robust expansion is underpinned by a combination of economic volatility, rising property values, and the growing complexity of foreclosure legal proceedings, which collectively fuel demand for specialized foreclosure services worldwide.

One of the primary growth factors for the foreclosure services market is the fluctuating global economic environment, which directly impacts property owners’ ability to meet mortgage obligations. Economic downturns, job losses, and inflationary pressures have led to a noticeable uptick in mortgage delinquencies, thereby increasing the volume of foreclosures. This trend is particularly prominent in regions where housing affordability remains a persistent challenge, driving banks, real estate agencies, and law firms to seek efficient, technology-enabled foreclosure solutions. The integration of digital platforms and automation in foreclosure processes has further streamlined operations, reducing timeframes and costs, and making services more accessible to a wider range of stakeholders.

Another significant driver is the evolving regulatory landscape governing property foreclosures. Governments across major economies are continuously updating foreclosure laws and introducing new compliance requirements to protect homeowners and ensure transparent proceedings. These regulatory changes necessitate specialized expertise, creating opportunities for foreclosure service providers with deep legal and procedural knowledge. The increasing complexity of compliance has also spurred the growth of partnerships between financial institutions, law firms, and government agencies, further propelling the foreclosure services market. Additionally, heightened investor interest in distressed assets and foreclosed properties has created a robust secondary market, enhancing the need for professional foreclosure services to manage these transactions efficiently.

Technological advancements are reshaping the foreclosure services market by introducing new efficiencies and capabilities. The adoption of artificial intelligence, machine learning, and big data analytics has enabled service providers to predict foreclosure risks, automate document management, and optimize auction processes. These innovations are not only improving operational accuracy but also enhancing customer experiences by providing real-time updates and streamlined communication channels. The integration of blockchain technology, in particular, is expected to revolutionize property title management and transaction validation, reducing fraud and increasing trust among stakeholders. As a result, technology-driven transformation is anticipated to remain a key growth catalyst in the coming years.

Regionally, North America continues to dominate the foreclosure services market, accounting for over 38% of global revenue in 2024. The region’s leadership is attributed to a mature real estate sector, high mortgage penetration, and well-established legal frameworks. Europe follows closely, with rising foreclosure activities in countries experiencing economic stagnation. Meanwhile, the Asia Pacific region is emerging as a high-growth market, fueled by rapid urbanization, expanding credit markets, and increasing property investments. Latin America and the Middle East & Africa are also witnessing gradual growth, driven by urban development and regulatory reforms, although market penetration remains comparatively lower.

Service Type Analysis

The foreclosure services market is segmented by service type into pre-foreclosure, foreclosure auction, and post-foreclosure services. Pre-foreclosure services encompass all activities undertaken before a property is officially foreclosed, including borrower counseling, loan modification assistance, and legal notifications. This segment is witnessing significant growth as lenders and borrowers increasingly seek early intervention strategies to avoid foreclosure. The rising adoption of digital tools for monitoring mortgage performance and automating communication with borrowers has further enhanced the efficiency of pre-foreclosure processes. Service providers fo

United States - Delinquency Rate on Loans Secured by Real Estate, Banks Ranked 1st to 100th Largest in Size by Assets was 1.92% in April of 2025, according to the United States Federal Reserve. Historically, United States - Delinquency Rate on Loans Secured by Real Estate, Banks Ranked 1st to 100th Largest in Size by Assets reached a record high of 11.49 in January of 2010 and a record low of 1.31 in October of 2004. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Delinquency Rate on Loans Secured by Real Estate, Banks Ranked 1st to 100th Largest in Size by Assets - last updated from the United States Federal Reserve on September of 2025.

View quarterly updates and historical trends for Michigan Consumers With New Foreclosure. Source: Federal Reserve Bank of New York. Track economic data wi…