24 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. Share of U.S. loans in foreclosure processes 2000-2024, by quarter

    • statista.com
    Updated Jul 11, 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
    Jul 11, 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 **** 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.

  3. F

    Large Bank Consumer Mortgage Balances: 30 or More Days Past Due: Including...

    • fred.stlouisfed.org
    json
    Updated Jul 18, 2025
    + more versions
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    (2025). Large Bank Consumer Mortgage Balances: 30 or More Days Past Due: Including Foreclosures Rates: Balances Based [Dataset]. https://fred.stlouisfed.org/series/RCMFLBBALDPDPCT30P
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    jsonAvailable download formats
    Dataset updated
    Jul 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 Large Bank Consumer Mortgage Balances: 30 or More Days Past Due: Including Foreclosures Rates: Balances Based (RCMFLBBALDPDPCT30P) from Q3 2012 to Q1 2025 about 30 days +, FR Y-14M, large, balance, mortgage, consumer, banks, depository institutions, rate, and USA.

  4. 2010 02: Housing Foreclosures In The Bay Area

    • opendata.mtc.ca.gov
    • hub.arcgis.com
    Updated Feb 24, 2010
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    MTC/ABAG (2010). 2010 02: Housing Foreclosures In The Bay Area [Dataset]. https://opendata.mtc.ca.gov/documents/8b420d1e0b4c4928ba7a602207f58899
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    Dataset updated
    Feb 24, 2010
    Dataset provided by
    Metropolitan Transportation Commission
    Association of Bay Area Governmentshttps://abag.ca.gov/
    Authors
    MTC/ABAG
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    San Francisco Bay Area
    Description

    Foreclosure types considered for this analysis include lender owned and third-party owned foreclosures as well as foreclosed properties ready for auction. Contra Costa and Solano counties showed the highest foreclosure rates in the San Francisco Bay Region during the first half of 2009 with up to 170 foreclosures per tract.

  5. r

    Neighborhood Stabilization Program (NSP) Target Areas

    • rigis.org
    • rigis-edc.opendata.arcgis.com
    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.

  6. 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.

  7. 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.

  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 1.94% in January 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 June of 2025.

  9. d

    2011 Housing Market Typology.

    • datadiscoverystudio.org
    csv, json, rdf, xml
    Updated Feb 3, 2018
    + more versions
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    (2018). 2011 Housing Market Typology. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/ce139e562b2346ad8c64d799bc2eed7e/html
    Explore at:
    rdf, json, csv, xmlAvailable download formats
    Dataset updated
    Feb 3, 2018
    Description

    description: The Typology will assist city government, local foundations and non-profits to understand local market strengths and to appropriately match neighborhood strategies to market conditions, for the best use of public and private resources. In addition, the typology will inform neighborhood level planning efforts and provide residents with an understanding of the local housing market conditions in their communities. Regional Choice: Competitive housing markets with high owner-occupancy rates and high property values in comparison to all other market types. Foreclosure, vacancy and abandonment rates are low. Middle Market Choice: Housing prices above the city_s average with strong ownership rates, and low vacancies, but with slightly increased foreclosure rates. Middle Market: Median sales values of $91,000 (above the City_s average of $65,000) as well as high homeownership rates. These markets experienced higher foreclosure rates when compared to higher value markets, with slight population loss. Middle Market Stressed: Slightly lower home sale values than the City_s average, and have not shown significant sales price appreciation. Vacancies and foreclosure rates are high, and the rate of population loss has increased in this market type, according to the 2010 Census data. Distressed Market: , Have experienced significant deterioration of the housing stock. This market category contains the highest vacancy rates and the lowest homeownership rates, compared to the other market types. It also has experienced some of the most substantial population losses in the City during the past decade.; abstract: The Typology will assist city government, local foundations and non-profits to understand local market strengths and to appropriately match neighborhood strategies to market conditions, for the best use of public and private resources. In addition, the typology will inform neighborhood level planning efforts and provide residents with an understanding of the local housing market conditions in their communities. Regional Choice: Competitive housing markets with high owner-occupancy rates and high property values in comparison to all other market types. Foreclosure, vacancy and abandonment rates are low. Middle Market Choice: Housing prices above the city_s average with strong ownership rates, and low vacancies, but with slightly increased foreclosure rates. Middle Market: Median sales values of $91,000 (above the City_s average of $65,000) as well as high homeownership rates. These markets experienced higher foreclosure rates when compared to higher value markets, with slight population loss. Middle Market Stressed: Slightly lower home sale values than the City_s average, and have not shown significant sales price appreciation. Vacancies and foreclosure rates are high, and the rate of population loss has increased in this market type, according to the 2010 Census data. Distressed Market: , Have experienced significant deterioration of the housing stock. This market category contains the highest vacancy rates and the lowest homeownership rates, compared to the other market types. It also has experienced some of the most substantial population losses in the City during the past decade.

  10. T

    BAL_2011 Housing Market Typology

    • data.opendatanetwork.com
    application/rdfxml +5
    Updated May 9, 2014
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    (2014). BAL_2011 Housing Market Typology [Dataset]. https://data.opendatanetwork.com/w/5mq8-hzk8/default?cur=WFs1n7wQ2OA&from=9qaL08466kJ
    Explore at:
    tsv, csv, application/rssxml, json, xml, application/rdfxmlAvailable download formats
    Dataset updated
    May 9, 2014
    Description

    The Typology will assist city government, local foundations and non-profits to understand local market strengths and to appropriately match neighborhood strategies to market conditions, for the best use of public and private resources. In addition, the typology will inform neighborhood level planning efforts and provide residents with an understanding of the local housing market conditions in their communities. Regional Choice: Competitive housing markets with high owner-occupancy rates and high property values in comparison to all other market types. Foreclosure, vacancy and abandonment rates are low. Middle Market Choice: Housing prices above the city’s average with strong ownership rates, and low vacancies, but with slightly increased foreclosure rates. Middle Market: Median sales values of $91,000 (above the City’s average of $65,000) as well as high homeownership rates. These markets experienced higher foreclosure rates when compared to higher value markets, with slight population loss. Middle Market Stressed: Slightly lower home sale values than the City’s average, and have not shown significant sales price appreciation. Vacancies and foreclosure rates are high, and the rate of population loss has increased in this market type, according to the 2010 Census data. Distressed Market: , Have experienced significant deterioration of the housing stock. This market category contains the highest vacancy rates and the lowest homeownership rates, compared to the other market types. It also has experienced some of the most substantial population losses in the City during the past decade.

  11. o

    Replication data for: Macroeconomic Effects of Bankruptcy and Foreclosure...

    • openicpsr.org
    Updated Aug 1, 2016
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    Kurt Mitman (2016). Replication data for: Macroeconomic Effects of Bankruptcy and Foreclosure Policies [Dataset]. http://doi.org/10.3886/E116138V1
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    Dataset updated
    Aug 1, 2016
    Dataset provided by
    American Economic Association
    Authors
    Kurt Mitman
    Area covered
    United States
    Description

    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.

  12. F

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

    • fred.stlouisfed.org
    json
    Updated May 21, 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
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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 Single-Family Residential Mortgages, Booked in Domestic Offices, All Commercial Banks (DRSFRMACBS) from Q1 1991 to Q1 2025 about domestic offices, delinquencies, 1-unit structures, mortgage, family, residential, commercial, domestic, banks, depository institutions, rate, and USA.

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

    • statista.com
    Updated Jul 9, 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
    Jul 9, 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, **** percent of one-to-four family housing mortgage loans were ** 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.

  14. U.S. metro areas with the highest eviction rates 2015-2017

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). U.S. metro areas with the highest eviction rates 2015-2017 [Dataset]. https://www.statista.com/statistics/785719/metro-areas-highest-eviction-rates-usa/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Between 2015 and 2017, Memphis, Tennessee had the highest eviction rate at *** percent. The metropolitan areas with the next highest eviction rates were Phoenix (Arizona), Atlanta (Georgia), Indianapolis (Indiana) and Dallas (Texas) in that period.

    Why do evictions occur? Eviction rate refers to the share of renters who are legally removed from a rental property by their landlord, because rent is overdue, the tenant has breached a condition of the rental agreement or for other legally permitted reasons.

    Higher rates in the South and Midwest Eviction rates tend to be higher in the South and Midwest of the country, because median incomes are low and foreclosure rates are high. Vacancy rates are consistently higher in the South and Midwest than in the Northeast and West, which means that landlords cannot afford to be as picky when choosing a tenant in the South and Midwest. Tenants who struggle to pay their rent have a much lower chance of being chosen as tenant in the more competitive rental markets, which also keeps the eviction rates lower in those areas.

  15. Share of non-performing mortgage loans in the U.S. 2002-2024, by status

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Share of non-performing mortgage loans in the U.S. 2002-2024, by status [Dataset]. https://www.statista.com/statistics/1200777/mortgage-delinquency-united-states-usa-by-delinquency-duration/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The share of non-performing mortgage loans in the United States has declined significantly since the subprime mortgage crisis in 2008. After the burst of the housing bubble, the share of loans which were ** to *** days past due date climbed to *** percent. The fourth quarter of 2010 witnessed the highest rate of loans in foreclosure, bankruptcy, or deed-in-lieu, amounting to **** percent. In the third quarter of 2024, the foreclosure rate stood at *** percent - the lowest figures on record. Meanwhile, the ** to ** days delinquency rate rose to *** percent and the ** to *** days delinquency rate rose to *** percent, showing an uptick in the late mortgage payments.

  16. 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.

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

    • statista.com
    Updated Jul 11, 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/
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    Dataset updated
    Jul 11, 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 ***** percent. In the second quarter of 2024, **** percent of FHA loans were delinquent. Historically, FHA mortgages have the highest delinquency rate of all mortgage types.

  18. 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.

  19. Commercial real estate delinquency rate in the U.S. 2020-2025, by asset...

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Commercial real estate delinquency rate in the U.S. 2020-2025, by asset class [Dataset]. https://www.statista.com/statistics/1200066/commercial-mortgage-backed-securities-delinquency-rate-usa/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    As of March 2025, the 30-day delinquency rate for commercial mortgage-backed securities (CMBS) varied per property type. The share of late payments for office CMBS was the highest at over **** percent, about ***** percentage points higher than the average for all asset classes. A 30-day delinquency refers to payments that are one month late, regardless of how many days the month has. Commercial mortgage-backed securities are fixed-income investment products which are backed by mortgages on commercial property.

  20. Rate of arrears to total number of mortgages Canada 2008-2022, by province

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Rate of arrears to total number of mortgages Canada 2008-2022, by province [Dataset]. https://www.statista.com/statistics/590972/rate-of-arrears-to-total-number-of-mortgages-canada/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Canada
    Description

    The share of mortgages in arrears in Canada decreased for the third year in a row in 2022, reaching tan all-time low. As of *************, the rate of mortgage arrears was **** percent, down from **** percent in 2009, when the highest rate was observed. Among the different provinces, the arrears rate was the highest in Saskatchewan at **** percent in *************.

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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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