24 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. 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.

  3. 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.

  4. 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.

  5. 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/series/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 (M09075USM476NNBR) from Jan 1934 to Mar 1963 about real estate, nonfarm, and USA.

  6. a

    Neighborhood Stabilization Program (NSP) Target Areas

    • hub.arcgis.com
    Updated Nov 28, 2008
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    Environmental Data Center (2008). Neighborhood Stabilization Program (NSP) Target Areas [Dataset]. https://hub.arcgis.com/maps/edc::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.

  7. Risk of eviction for U.S. homeowners due to foreclosure in 2023

    • statista.com
    Updated Jan 28, 2025
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    Statista (2025). Risk of eviction for U.S. homeowners due to foreclosure in 2023 [Dataset]. https://www.statista.com/statistics/1251484/foreclosure-risk-for-house-owners-usa/
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    Dataset updated
    Jan 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 18, 2023 - Oct 30, 2023
    Area covered
    United States
    Description

    About three percent of U.S. homeowners with a mortgage who were behind on mortgage payments in October 2023 were very likely to face eviction in the next two months due to a foreclosure. Additionally, 18 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.

  8. T

    United States - Delinquency Rate on Loans Secured by Real Estate, Banks...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Apr 27, 2018
    + more versions
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    TRADING ECONOMICS (2018). United States - Delinquency Rate on Loans Secured by Real Estate, Banks Ranked 1st to 100th Largest in Size by Assets [Dataset]. https://tradingeconomics.com/united-states/delinquency-rate-on-loans-secured-by-real-estate-top-100-banks-ranked-by-assets-percent-fed-data.html
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    json, excel, csv, xmlAvailable download formats
    Dataset updated
    Apr 27, 2018
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Delinquency Rate on Loans Secured by Real Estate, Banks Ranked 1st to 100th Largest in Size by Assets was 1.91% in October of 2024, 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 March of 2025.

  9. O

    Monthly Foreclosures in CT

    • data.ct.gov
    • catalog.data.gov
    application/rdfxml +5
    Updated Dec 2, 2022
    + more versions
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    Connecticut Housing Finance Authority (2022). Monthly Foreclosures in CT [Dataset]. https://data.ct.gov/Housing-and-Development/Monthly-Foreclosures-in-CT/jfkq-xawu
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    xml, application/rdfxml, tsv, json, csv, application/rssxmlAvailable download formats
    Dataset updated
    Dec 2, 2022
    Dataset authored and provided by
    Connecticut Housing Finance Authority
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    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.

  10. 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/
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    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.

  11. f

    How Banks Can Avoid a Repeat of the 2008 Foreclosure Crisis?

    • fatposglobal.com
    csv, xml
    Updated Jan 15, 2025
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    Market View Insight (2025). How Banks Can Avoid a Repeat of the 2008 Foreclosure Crisis? [Dataset]. https://www.fatposglobal.com/blog/how-banks-can-avoid-a-repeat-of-the-2008-foreclosure-crisis-10
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    csv, xmlAvailable download formats
    Dataset updated
    Jan 15, 2025
    Dataset authored and provided by
    Market View Insight
    License

    https://marketviewinsights.com/privacy-policyhttps://marketviewinsights.com/privacy-policy

    Time period covered
    Jan 1, 1950 - Dec 18, 2013
    Dataset funded by
    Market View Insight
    Description

    How Banks Can Avoid a Repeat of the 2008 Foreclosure Crisis?

    Global Pandemic has crashed many economies socially, politically as well as financially. It has marked the onset of the Foreclosure crisis as were seen from 2007 to 2010. The U.S. is one of the most severely hit economies of the world. U.S. homeowners struggle to remain on top of their mortgage payments — and the situation may only get worse. As o.....

  12. F

    Delinquency Rate on Single-Family Residential Mortgages, Booked in Domestic...

    • fred.stlouisfed.org
    json
    Updated Feb 18, 2025
    + more versions
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    (2025). Delinquency Rate on Single-Family Residential Mortgages, Booked in Domestic Offices, All Commercial Banks [Dataset]. https://fred.stlouisfed.org/series/DRSFRMACBS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Feb 18, 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 Single-Family Residential Mortgages, Booked in Domestic Offices, All Commercial Banks (DRSFRMACBS) from Q1 1991 to Q4 2024 about domestic offices, delinquencies, 1-unit structures, mortgage, family, residential, commercial, domestic, banks, depository institutions, rate, and USA.

  13. Foreclosure completion time in the U.S. 2007-2018

    • statista.com
    Updated Nov 6, 2020
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    Statista (2020). Foreclosure completion time in the U.S. 2007-2018 [Dataset]. https://www.statista.com/statistics/947629/foreclosure-completion-usa/
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    Dataset updated
    Nov 6, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    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.

  14. Likelihood of foreclosure according to consumers in the U.S. 2018

    • statista.com
    Updated Nov 6, 2020
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    Statista (2020). Likelihood of foreclosure according to consumers in the U.S. 2018 [Dataset]. https://www.statista.com/statistics/946579/likelihood-foreclosure-home-mortgage-usa/
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    Dataset updated
    Nov 6, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 1, 2018 - Oct 2, 2018
    Area covered
    United States
    Description

    This statistic shows the likelihood of residence being foreclosed upon according to mortgage holders in the United States in 2018. In 2018, 70 percent of the respondents said that it was very unlikely that they would experience the foreclosure of their residence.

  15. Mortgage delinquency rates for VA loans in the U.S. 2000-2024, by quarter

    • statista.com
    Updated Jan 28, 2025
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    Statista (2025). Mortgage delinquency rates for VA loans in the U.S. 2000-2024, by quarter [Dataset]. https://www.statista.com/statistics/205991/us-veterans-administration-loans-since-1990/
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    Dataset updated
    Jan 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The mortgage delinquency rate for Veterans Administration (VA) loans in the United States has decreased since 2020. Under the effects of the coronavirus pandemic, the mortgage delinquency rate for VA loans spiked from 2.81 percent in the first quarter of 2020 to 8.05 percent in the second quarter of the year. In the second quarter of 2024, the delinquency rate amounted to 4.63 percent. Historically, VA mortgages have significantly lower delinquency rate than conventional mortgages.

  16. F

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

    • fred.stlouisfed.org
    json
    Updated Feb 18, 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
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Feb 18, 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 Q4 2024 about farmland, domestic offices, delinquencies, real estate, commercial, domestic, loans, banks, depository institutions, rate, and USA.

  17. Mortgage delinquency rate in the U.S. 2024, by loan type

    • statista.com
    Updated Jan 30, 2025
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    Statista (2025). Mortgage delinquency rate in the U.S. 2024, by loan type [Dataset]. https://www.statista.com/statistics/206494/us-mortgage-delinquency-rates-by-loan-type/
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    Dataset updated
    Jan 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Federal Housing Administration (FHA) loans had the highest delinquency rate in the United States in 2024. As of the second quarter of the year, 10.6 percent of one-to-four family housing mortgage loans were 30 days or more delinquent. This percentage was lower for conventional loans and Veterans Administration loans. Despite a slight increase, the delinquency rate for all mortgages was one of the lowest on record.

  18. Code for: "Disability and Distress: The Effect of Disability Programs on...

    • openicpsr.org
    Updated Mar 16, 2021
    + more versions
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    Manasi Deshpande; Tal Gross; Yalun Su (2021). Code for: "Disability and Distress: The Effect of Disability Programs on Financial Outcomes" [Dataset]. http://doi.org/10.3886/E118462V1
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    Dataset updated
    Mar 16, 2021
    Dataset provided by
    American Economic Associationhttp://www.aeaweb.org/
    Authors
    Manasi Deshpande; Tal Gross; Yalun Su
    License

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

    Time period covered
    2000 - 2014
    Area covered
    United States
    Description

    What is the relationship between disability programs and financial distress? We provide the first evidence on this relationship using several markers of financial distress: bankruptcy, foreclosure, eviction, and home sale. Rates of these adverse financial events peak around the time of disability application. Using variation induced by an age-based eligibility rule, we find that disability allowance reduces the likelihood of bankruptcy by 20 percent, foreclosure by 33 percent, and home sale by 15 percent. We present evidence that these changes reflect true reductions in financial distress. Considering these extreme events increases the optimal disability benefit amount and suggests a shorter optimal waiting time between application and benefit receipt.

  19. U.S. mortgage delinquency rates for FHA loans 2000-2024, by quarter

    • statista.com
    Updated Jan 28, 2025
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    Statista (2025). U.S. mortgage delinquency rates for FHA loans 2000-2024, by quarter [Dataset]. https://www.statista.com/statistics/205977/us-federal-housing-administration-loans-since-1990/
    Explore at:
    Dataset updated
    Jan 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The mortgage delinquency rate for Federal Housing Administration (FHA) loans in the United States declined since 2020, when it peaked at 15.65 percent. In the second quarter of 2024, 10.6 percent of FHA loans were delinquent. Historically, FHA mortgages have the highest delinquency rate of all mortgage types.

  20. Forbearance rate of housing loans the U.S. 2022, by state

    • statista.com
    Updated Jun 5, 2024
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    Statista (2024). Forbearance rate of housing loans the U.S. 2022, by state [Dataset]. https://www.statista.com/statistics/1200682/mortgage-forbearance-rate-united-states-usa-by-state/
    Explore at:
    Dataset updated
    Jun 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 2022
    Area covered
    United States
    Description

    As a result of the coronavirus (COVID-19) crisis, many people worldwide faced job insecurity and loss of income. For mortgage borrowers in the United States, this means increased default and foreclosure risk. Forbearance is a type of borrower assistance which allows the lender to negotiate a temporary postponement of a mortgage repayment. It allows a payment period relief in lieu of the creditor foreclosing on any property that was used as collateral for the loan.

    As of March 2022, New York was one of the states in the United States with highest forbearance rate for Freddie Mac single-family housing loans with approximately 0.87 percent of current loans in forbearance.

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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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