13 datasets found
  1. 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.

  2. f

    No Spillover Effect of the Foreclosure Crisis on Weight Change: The Diabetes...

    • plos.figshare.com
    docx
    Updated Jun 3, 2023
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    Janelle Downing; Andrew Karter; Hector Rodriguez; William H. Dow; Nancy Adler; Dean Schillinger; Margaret Warton; Barbara Laraia (2023). No Spillover Effect of the Foreclosure Crisis on Weight Change: The Diabetes Study of Northern California (DISTANCE) [Dataset]. http://doi.org/10.1371/journal.pone.0151334
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    docxAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Janelle Downing; Andrew Karter; Hector Rodriguez; William H. Dow; Nancy Adler; Dean Schillinger; Margaret Warton; Barbara Laraia
    License

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

    Area covered
    Northern California, California
    Description

    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.

  3. o

    Replication data for: Is There a Link between Foreclosure and Health?

    • openicpsr.org
    Updated Dec 7, 2019
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    Janet Currie; Erdal Tekin (2019). Replication data for: Is There a Link between Foreclosure and Health? [Dataset]. http://doi.org/10.3886/E116498V1
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    Dataset updated
    Dec 7, 2019
    Dataset provided by
    American Economic Association
    Authors
    Janet Currie; Erdal Tekin
    Description

    We investigate the relationship between foreclosures and hospital visits using data on all foreclosures and all hospital and emergency room visits from four states that were among the hardest hit by the foreclosure crisis. We find that living in a neighborhood with a spike in foreclosures is associated with significant increases in urgent unscheduled visits, including increases in visits for preventable conditions. The estimated relationships cannot be accounted for by increasing unemployment, declines in housing prices, migration, or by people switching from out-patient providers to hospitals. (JEL D14, F12, R31)

  4. 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.

  5. H

    Replication Data for: Economic Distress and Voting: Evidence from the...

    • dataverse.harvard.edu
    • search.datacite.org
    Updated Oct 4, 2020
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    Harvard Dataverse (2020). Replication Data for: Economic Distress and Voting: Evidence from the Subprime Mortgage Crisis [Dataset]. http://doi.org/10.7910/DVN/VYXB4B
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    txt(7158), application/x-stata-syntax(3353), txt(8764), txt(14575), application/x-stata-syntax(2847), tsv(58316052), tex(1102), pdf(8280), txt(14559), tex(1097), application/x-stata-syntax(3396), tex(971), application/x-stata-syntax(3924), application/x-stata-syntax(5388), txt(7838), tsv(602), tsv(99), txt(7881), application/x-stata-syntax(3513), application/x-stata-syntax(3461), application/x-stata-syntax(4473), txt(14950), tsv(36588), txt(15442), txt(7729), application/x-stata-syntax(4636), tex(1082), application/x-stata-syntax(3144), application/x-stata-syntax(3527), application/x-stata-syntax(2734), tex(1491), txt(27304), txt(27445), txt(15305), application/x-stata-syntax(3528), txt(14752), txt(445), tsv(45131), tsv(5605458), txt(7967), tex(2094), application/x-stata-syntax(3551), txt(27887), tex(1093), txt(4468), application/x-stata-syntax(3376), tex(1100), tsv(251003), txt(15457), application/x-stata-14(1165537688), tex(1472), tex(993), tex(735), application/x-stata-syntax(2711), tex(1089), tex(2232), txt(14743), tex(1099), txt(16870), txt(17761), tsv(2947778), application/x-stata-syntax(4661), application/x-stata-syntax(5163), tex(977), application/x-stata-syntax(2277), application/x-stata-syntax(3474), tex(981), txt(15093), pdf(300573), tex(1476), application/x-stata-syntax(4500), type/x-r-syntax(3754), application/x-stata-syntax(2700), pdf(4958), tex(1127), tex(1623)Available download formats
    Dataset updated
    Oct 4, 2020
    Dataset provided by
    Harvard Dataverse
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    We use nationwide deed-level records on home foreclosures to examine the effects of economic distress on electoral outcomes and individual voter turnout. County-level difference-in-differences estimates show that counties that suffered larger increases in foreclosures did not punish or reward members of the incumbent president’s party more than less affected counties. Linking the Ohio voter file to individual foreclosures, difference-in-differences estimates show that individuals whose homes were foreclosed on were less likely to turn out, rather than being mobilized. However, in 2016 counties more exposed to foreclosures supported Trump at substantially higher rates. Taken together, the evidence suggests that the effect of local economic distress on incumbent performance is generally close to zero and only becomes substantial in unusual circumstances.

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

    • statista.com
    • ai-chatbox.pro
    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.

  7. F

    Delinquency Rate on Commercial Real Estate Loans (Excluding Farmland),...

    • fred.stlouisfed.org
    json
    Updated May 21, 2025
    + more versions
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    (2025). Delinquency Rate on Commercial Real Estate Loans (Excluding Farmland), Booked in Domestic Offices, All Commercial Banks [Dataset]. https://fred.stlouisfed.org/series/DRCRELEXFACBS
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    jsonAvailable download formats
    Dataset updated
    May 21, 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 Commercial Real Estate Loans (Excluding Farmland), Booked in Domestic Offices, All Commercial Banks (DRCRELEXFACBS) from Q1 1991 to Q1 2025 about farmland, domestic offices, delinquencies, real estate, commercial, domestic, loans, banks, depository institutions, rate, and USA.

  8. V

    Vacant Property Security Service Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Feb 4, 2025
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    Archive Market Research (2025). Vacant Property Security Service Report [Dataset]. https://www.archivemarketresearch.com/reports/vacant-property-security-service-13513
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    ppt, pdf, docAvailable download formats
    Dataset updated
    Feb 4, 2025
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The market for Vacant Property Security Service is expected to grow from $3822 million in 2025 to $8255 million in 2033, at a CAGR of 8.0%. The market is driven by the increasing number of vacant properties and the rising crime rates. The growing number of vacant properties is due to the increasing number of foreclosures and the aging population. The rising crime rates are due to the increasing number of drug and property crimes. The market for Vacant Property Security Service is segmented by application, type, and region. By application, the market is divided into commercial and residential. The commercial segment is expected to account for the largest share of the market over the forecast period. By type, the market is divided into mobile patrols, remote monitoring, security guards, security risk assessment, and others. The mobile patrols segment is expected to account for the largest share of the market over the forecast period. By region, the market is divided into North America, South America, Europe, the Middle East & Africa, and Asia Pacific. North America is expected to account for the largest share of the market over the forecast period.

  9. c

    Title insurance Market Will Grow at a CAGR of 12.00% from 2024 to 2031.

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
    Updated May 15, 2025
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    Cognitive Market Research (2025). Title insurance Market Will Grow at a CAGR of 12.00% from 2024 to 2031. [Dataset]. https://www.cognitivemarketresearch.com/title-insurance-market-report
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    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    May 15, 2025
    Dataset authored and provided by
    Cognitive Market Research
    License

    https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    According to Cognitive Market Research, the global Title Insurance market size is USD 57181.2 million in 2024 and will expand at a compound annual growth rate (CAGR) of 12.00% from 2024 to 2031.

    North America held the major market of more than 40% of the global revenue with a market size of USD 22872.48 million in 2024 and will grow at a compound annual growth rate (CAGR) of 10.2% from 2024 to 2031.
    Europe accounted for a share of over 30% of the global market size of USD 17154.36 million.
    Asia Pacific held the market of around 23% of the global revenue with a market size of USD 13151.68 million in 2024 and will grow at a compound annual growth rate (CAGR) of 14.0%from 2024 to 2031.
    Latin America market of more than 5% of the global revenue with a market size of USD 2859.06 million in 2024 and will grow at a compound annual growth rate (CAGR) of 11.4% from 2024 to 2031.
    Middle East and Africa held the major market of around 2% of the global revenue with a market size of USD 1143.62 million in 2024 and will grow at a compound annual growth rate (CAGR) of 11.7% from 2024 to 2031.
    The dominant end user category is the enterprise segment, which includes businesses and organizations that require title insurance for commercial properties and real estate transactions.
    

    Market Dynamics of Title Insurance Market

    Key Drivers for Title Insurance Market

    Increasing Property Transactions to Increase the Demand Globally
    

    One key driver propelling the Title Insurance market is the steady rise in property transactions. As the real estate industry continues to expand globally, fueled by urbanization, population growth, and economic development, the demand for title insurance has surged. Property buyers and lenders increasingly recognize the importance of safeguarding their investments against potential title defects, encumbrances, or legal disputes that may arise in the future. This heightened awareness has led to a greater adoption of title insurance policies, driving market growth. Additionally, regulatory mandates in many jurisdictions require title insurance as a prerequisite for property transactions, further boosting market demand. As property markets remain dynamic and resilient, the increasing volume of real estate transactions is expected to sustain the growth momentum of the Title Insurance market.

    Evolving Regulatory Landscape to Propel Market Growth
    

    Another crucial driver shaping the Title Insurance market is the evolving regulatory landscape governing real estate transactions. Regulatory changes, including updates to property laws, mortgage regulations, and consumer protection measures, have a significant impact on the demand for title insurance. Stricter regulations often necessitate comprehensive due diligence procedures and risk mitigation strategies, prompting property buyers and lenders to seek robust title insurance coverage. Moreover, regulatory reforms aimed at enhancing transparency and reducing fraud in property transactions have contributed to the growing adoption of title insurance as a risk management tool. Market players in the title insurance industry are continually adapting their products and services to align with evolving regulatory requirements, thereby driving market growth. As regulatory frameworks continue to evolve, the demand for title insurance is expected to remain strong, especially in regions undergoing significant legislative changes in the real estate sector.

    Restraint Factor for the Title Insurance Market

    Economic Downturns and Property Market Volatility to Limit the Sales
    

    One key restraints affecting the Title Insurance market is its vulnerability to economic downturns and property market volatility. During periods of economic uncertainty or recession, property transactions tend to decline, leading to a reduction in demand for title insurance. Economic downturns also increase the risk of mortgage defaults and foreclosures, which can result in higher claims payouts for title insurers. Additionally, property market volatility, influenced by factors such as fluctuating interest rates, regulatory changes, and geopolitical events, can impact the stability of the Title Insurance market. Uncertain property valuations and shifting market dynamics can make it challenging for title insurers to accurately assess risks and set premiums, leading to potential revenue losses. As such, the Title Insurance market is sensitive to mac...

  10. w

    Global Residential Real Estate Market Research Report: By Property Type...

    • wiseguyreports.com
    Updated Dec 3, 2024
    + more versions
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    wWiseguy Research Consultants Pvt Ltd (2024). Global Residential Real Estate Market Research Report: By Property Type (Single-Family Homes, Multi-Family Homes, condominiums, Townhouses, Villas), By Buyer Type (First-Time Buyers, Move-Up Buyers, Investors, Second Home Buyers, Retirees), By Purpose (Primary Residence, Investment, Vacation Home, Rental Property), By Market Status (New Construction, Existing Homes, Foreclosures, Short Sales) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2032. [Dataset]. https://www.wiseguyreports.com/reports/residential-real-estate-market
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    Dataset updated
    Dec 3, 2024
    Dataset authored and provided by
    wWiseguy Research Consultants Pvt Ltd
    License

    https://www.wiseguyreports.com/pages/privacy-policyhttps://www.wiseguyreports.com/pages/privacy-policy

    Area covered
    Global
    Description
    BASE YEAR2024
    HISTORICAL DATA2019 - 2024
    REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    MARKET SIZE 20232254.16(USD Billion)
    MARKET SIZE 20242326.97(USD Billion)
    MARKET SIZE 20323000.0(USD Billion)
    SEGMENTS COVEREDProperty Type, Buyer Type, Purpose, Market Status, Regional
    COUNTRIES COVEREDNorth America, Europe, APAC, South America, MEA
    KEY MARKET DYNAMICSUrbanization trends , Interest rate fluctuations , Government policy impacts , Housing supply constraints , Consumer confidence levels
    MARKET FORECAST UNITSUSD Billion
    KEY COMPANIES PROFILEDBlackstone Group, Invitation Homes, Douglas Elliman, Agent Trust, Zillow Group, Realty Income Corporation, CBRE Group, Keller Williams Realty, Marcus and Millichap, Redfin, Compass, eXp Realty, Prologis, Opendoor Technologies, Brookfield Asset Management
    MARKET FORECAST PERIOD2025 - 2032
    KEY MARKET OPPORTUNITIESSustainable housing developments, Smart home technology, Affordable housing initiatives, Urban revitalization projects, Co-living spaces growth
    COMPOUND ANNUAL GROWTH RATE (CAGR) 3.23% (2025 - 2032)
  11. Real Estate Sales & Brokerage in the US - Market Research Report (2015-2030)...

    • ibisworld.com
    Updated Apr 15, 2025
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    IBISWorld (2025). Real Estate Sales & Brokerage in the US - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-states/market-research-reports/real-estate-sales-brokerage-industry/
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    Dataset updated
    Apr 15, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Area covered
    United States
    Description

    The real estate sales and brokerage industry is navigating a complex landscape with high mortgage rates and dropping home sales. The Federal Reserve's decision to raise the benchmark interest rate 11 times across 2022 and 2023 to combat inflation led to a significant climb in mortgage rates, dampening buyer demand and affordability. This gain has deterred homeowners from selling, leading to low housing inventory. Despite the rate cuts that came in 2024, mortgage rates remain high, with the typical 30-year fixed mortgage staying above 6.5%. Existing home sales also hit a near 30-year low in 2024, mainly because of high home prices and tight supply. Amid these challenges, the real estate market has seen a surge in home values, propelling industry growth. This growth greatly benefits real estate agents and brokerages, who often base their commissions on the house's selling price. Despite the high vacancy rates, the office market also shows signs of picking up, primarily because of demand for high-quality assets such as Class A office spaces and modern buildings. Increased competitive pressure necessitates more aggressive marketing tactics to secure listings and attract sellers. Nonetheless, because of the industry's robust performance from 2020 to 2021, revenue has climbed at a CAGR of 0.8% over the past five years, reaching $241.3 billion in 2025. 2025 revenue will climb an estimated 1.0% as home price appreciation and a rebound in commercial sales volume will fuel tepid growth. The higher-for-longer interest rate environment is expected to slow the industry's growth. The high mortgage rates and escalating home prices will likely price out many potential home buyers from the market, forcing customers to rent or live in multifamily complexes. The limited new office construction will stimulate office building sales and intensify brokerage activity. The housing stock situation is expected to remain tight, with homeowners staying in their homes for longer and contributing to home price appreciation. Amid these conditions, a likely shift toward new construction and build-to-rent properties for agents and brokers is anticipated. Increased competition in the form of market saturation and disruption from online platforms will inhibit profit growth. Overall, industry revenue will gain at a CAGR of 2.3% to reach $270.8 billion in 2030.

  12. Residential mortgage backed security issuance in the U.S. 1996-2024

    • statista.com
    Updated Jun 20, 2025
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    Statista (2025). Residential mortgage backed security issuance in the U.S. 1996-2024 [Dataset]. https://www.statista.com/statistics/275746/rmbs-issuance-in-the-united-states/
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    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The year 2021 saw the peak in issuance of residential mortgage backed securities (MBS), at *** trillion U.S. dollars. Since then, MBS issuance has slowed, reaching *** trillion U.S. dollars in 2023. What are mortgage backed securities? A mortgage backed security is a financial instrument in which mortgages are bundled together and sold to investors. The idea is that the risk of these individual mortgages is pooled when they are packaged together. This is a sound investment policy, unless the foreclosure rate increases significantly in a short amount of time. Mortgage risk Since mortgages are loans backed by an asset, the house, the risk is often considered relatively low. However, the loan maturities are very long, sometimes decades, meaning lenders must factor in the risk of a shift in the economic climate. As such, interest rates on longer mortgages tend to be higher than on shorter loans. The ten-year treasury yield influences these rates, since it is a long-term rate that most investors accept as risk-free. Additionally, a decline in the value of homeowner equity could lead to a situation where the debtor is “underwater” and owes more than the home is worth.

  13. Number of landlord and mortgage repossessions in England 2010-2024, by...

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Number of landlord and mortgage repossessions in England 2010-2024, by quarter [Dataset]. https://www.statista.com/statistics/1248599/england-and-wales-mortgage-repossession-by-type/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    England, United Kingdom
    Description

    Repossessions occur when a borrower fails to repay their loan on time or a tenant is late on their rent, and the lender takes possession of the property. To avoid a spike in repossessions during the coronavirus (COVID-19) crisis, the Financial Conduct Authority (FCA) introduced measures for renters and mortgage borrowers. As a result, the number of repossessions fell to a record low in 2020. In the second quarter of 2024, there were *** repossessions of mortgaged homes and ***** repossessions of rental properties by landlords.

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    Learn how you can add new datasets to our index.

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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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Foreclosure rate U.S. 2005-2024

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7 scholarly articles cite this dataset (View in Google Scholar)
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.

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