78 datasets found
  1. T

    United States 30-Year Mortgage Rate

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 10, 2025
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    TRADING ECONOMICS (2025). United States 30-Year Mortgage Rate [Dataset]. https://tradingeconomics.com/united-states/30-year-mortgage-rate
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    csv, json, xml, excelAvailable download formats
    Dataset updated
    Jul 10, 2025
    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
    Apr 1, 1971 - Jul 10, 2025
    Area covered
    United States
    Description

    30 Year Mortgage Rate in the United States increased to 6.72 percent in July 10 from 6.67 percent in the previous week. This dataset includes a chart with historical data for the United States 30 Year Mortgage Rate.

  2. D

    Mortgage Loan Service Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Mortgage Loan Service Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/mortgage-loan-service-market
    Explore at:
    pdf, pptx, csvAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Mortgage Loan Service Market Outlook



    The global mortgage loan service market size was valued at approximately $10.5 trillion in 2023 and is projected to reach around $18.2 trillion by 2032, growing at a CAGR of 6.1% during the forecast period. The growth of this market is driven by the increasing urbanization, rising disposable incomes, and favorable government policies aimed at promoting homeownership across various regions. Additionally, the proliferation of digital banking and fintech solutions has made mortgage services more accessible, further contributing to the market's expansion.



    One of the primary growth factors for the mortgage loan service market is the significant rise in housing demand globally. As urban populations swell and economic conditions improve, more individuals and families are seeking to purchase homes, driving the need for mortgage loans. This trend is particularly evident in emerging markets, where urbanization is occurring at an unprecedented rate. Governments are also playing a crucial role by implementing policies and grants to make housing more affordable, thereby boosting mortgage adoption.



    Technological advancements are another significant factor propelling the mortgage loan service market. The integration of AI, big data analytics, and blockchain technology has revolutionized the way mortgage services are delivered. These technologies streamline application processes, enhance risk assessment, and improve customer service, making it easier and faster for consumers to secure loans. Fintech companies, in particular, are leveraging these technologies to offer more competitive rates and personalized loan products, thereby attracting a broader customer base.



    Furthermore, the increasing participation of non-banking financial institutions (NBFIs) and credit unions has diversified the mortgage loan service market. These entities often provide more flexible and innovative loan products compared to traditional banks, meeting the needs of a more varied clientele. NBFIs and credit unions also tend to have more lenient approval processes, making them an attractive option for individuals with non-traditional income sources or lower credit scores. This diversification is contributing significantly to the market's growth.



    Mortgage Loans Software is playing an increasingly pivotal role in the evolution of the mortgage loan service market. As the industry embraces digital transformation, software solutions are being developed to streamline the entire mortgage process, from application to approval. These software platforms facilitate better data management, enhance customer experience, and improve operational efficiency for service providers. By automating routine tasks and providing real-time analytics, Mortgage Loans Software helps lenders make more informed decisions, reduce processing times, and minimize errors. This technological advancement is not only beneficial for lenders but also empowers borrowers by offering them greater transparency and control over their mortgage journey.



    Regionally, North America continues to dominate the mortgage loan service market due to its well-established financial infrastructure and high homeownership rates. However, the Asia Pacific region is expected to register the fastest growth during the forecast period, driven by rapid urbanization, rising incomes, and government initiatives aimed at affordable housing. Countries like China and India are particularly noteworthy due to their large and growing middle-class populations.



    Type Analysis



    The mortgage loan service market is segmented by type into fixed-rate mortgages, adjustable-rate mortgages, interest-only mortgages, reverse mortgages, and others. Fixed-rate mortgages are the most popular type, offering borrowers the stability of a constant interest rate over the life of the loan. This makes them particularly attractive in times of low-interest rates, as borrowers can lock in favorable terms for the long term. The predictability of monthly payments also makes fixed-rate mortgages a preferred choice for many homeowners.



    Adjustable-rate mortgages (ARMs) offer lower initial interest rates compared to fixed-rate mortgages, making them an attractive option for borrowers who anticipate an increase in their income or plan to sell their property before the rate adjusts. However, the fluctuating interest rates can pose a risk, especially in volatile economic conditions. Despite this, the flexibility

  3. T

    United States MBA 30-Yr Mortgage Rate

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 9, 2025
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    TRADING ECONOMICS (2025). United States MBA 30-Yr Mortgage Rate [Dataset]. https://tradingeconomics.com/united-states/mortgage-rate
    Explore at:
    xml, excel, json, csvAvailable download formats
    Dataset updated
    Jul 9, 2025
    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 5, 1990 - Jul 4, 2025
    Area covered
    United States
    Description

    Fixed 30-year mortgage rates in the United States averaged 6.77 percent in the week ending July 4 of 2025. This dataset provides the latest reported value for - United States MBA 30-Yr Mortgage Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  4. Quarterly mortgage interest rate in the U.S. 2019-2024, by mortgage type

    • statista.com
    • ai-chatbox.pro
    Updated Jun 20, 2025
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    Statista (2025). Quarterly mortgage interest rate in the U.S. 2019-2024, by mortgage type [Dataset]. https://www.statista.com/statistics/500056/quarterly-mortgage-intererst-rates-by-mortgage-type-usa/
    Explore at:
    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In the United States, interest rates for all mortgage types started to increase in 2021. This was due to the Federal Reserve introducing a series of hikes in the federal funds rate to contain the rising inflation. In the fourth quarter of 2024, the 30-year fixed rate rose slightly, to **** percent. Despite the increase, the rate remained below the peak of **** percent in the same quarter a year ago. Why have U.S. home sales decreased? Cheaper mortgages normally encourage consumers to buy homes, while higher borrowing costs have the opposite effect. As interest rates increased in 2022, the number of existing homes sold plummeted. Soaring house prices over the past 10 years have further affected housing affordability. Between 2013 and 2023, the median price of an existing single-family home risen by about ** percent. On the other hand, the median weekly earnings have risen much slower. Comparing mortgage terms and rates Between 2008 and 2023, the average rate on a 15-year fixed-rate mortgage in the United States stood between **** and **** percent. Over the same period, a 30-year mortgage term averaged a fixed-rate of between **** and **** percent. Rates on 15-year loan terms are lower to encourage a quicker repayment, which helps to improve a homeowner’s equity.

  5. 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
    Explore at:
    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.

  6. F

    15-Year Fixed Rate Mortgage Average in the United States

    • fred.stlouisfed.org
    json
    Updated Jul 10, 2025
    + more versions
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    (2025). 15-Year Fixed Rate Mortgage Average in the United States [Dataset]. https://fred.stlouisfed.org/series/MORTGAGE15US
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 10, 2025
    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 15-Year Fixed Rate Mortgage Average in the United States (MORTGAGE15US) from 1991-08-30 to 2025-07-10 about 15-year, fixed, mortgage, interest rate, interest, rate, 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/
    Explore at:
    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 MBA Mortgage Applications

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 9, 2025
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    TRADING ECONOMICS (2025). United States MBA Mortgage Applications [Dataset]. https://tradingeconomics.com/united-states/mortgage-applications
    Explore at:
    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Jul 9, 2025
    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 12, 1990 - Jul 4, 2025
    Area covered
    United States
    Description

    Mortgage Application in the United States increased by 9.40 percent in the week ending July 4 of 2025 over the previous week. This dataset provides - United States MBA Mortgage Applications - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  9. SaaS Mortgage Software Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). SaaS Mortgage Software Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-saas-mortgage-software-market
    Explore at:
    pdf, pptx, csvAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    SaaS Mortgage Software Market Outlook



    The global SaaS mortgage software market is experiencing robust growth, with a market size valued at approximately USD 7.5 billion in 2023 and projected to reach USD 19 billion by 2032, boasting a compound annual growth rate (CAGR) of 11.2%. This expansion is driven by the increasing digitization of financial services and the rising demand for efficient, scalable, and secure mortgage solutions. The preference for cloud-based systems is rising as financial institutions seek to minimize operational costs and enhance customer experience through more agile and scalable platforms that SaaS solutions provide.



    One of the key growth factors fueling the SaaS mortgage software market is the accelerated shift towards digital transformation across the financial sector. Financial institutions such as banks, credit unions, and mortgage lenders are increasingly adopting SaaS-based solutions to streamline their operations, reduce manual processes, and enhance customer interaction. The integration of advanced technologies, such as artificial intelligence and machine learning, into these platforms is enabling more accurate and efficient data processing, which is critical in the highly regulated mortgage industry. This shift not only improves operational efficiency but also helps organizations stay competitive in a rapidly evolving market.



    Another significant driver of this market is the need for enhanced compliance and risk management solutions. The mortgage industry is subject to a diverse range of regulations that vary by region, and maintaining compliance is a major challenge for lenders. SaaS mortgage software offers built-in compliance management tools that update in real-time to reflect regulatory changes, thereby reducing the risk of non-compliance penalties. Furthermore, these platforms provide robust risk management features that help institutions identify, assess, and mitigate risks associated with lending decisions. This is particularly important in a volatile economic environment where the ability to quickly adapt to changes is paramount.



    The rise of remote work and the growing need for flexible, accessible mortgage processing solutions are also contributing to the market's growth. With more employees working from home, financial institutions require software solutions that can be accessed from anywhere to ensure business continuity. SaaS mortgage software offers the flexibility and accessibility needed to support remote workforces, allowing for seamless integration with existing systems and easy scalability as business needs evolve. This trend is likely to continue as organizations prioritize flexible and adaptive solutions that support both in-office and remote work environments.



    In the context of the evolving mortgage industry, Loan Servicing Software plays a pivotal role in ensuring the seamless management of the loan lifecycle. This software automates various aspects of loan servicing, including payment processing, escrow management, and customer service, which are crucial for maintaining operational efficiency. By leveraging Loan Servicing Software, financial institutions can handle large volumes of loans with ease, reducing administrative burdens and allowing staff to focus on strategic initiatives. The software's scalability is particularly beneficial as it enables institutions to adapt to changing market conditions and customer demands. Moreover, the integration of real-time data analytics and reporting features provides lenders with valuable insights into portfolio performance, facilitating informed decision-making and enhancing overall business outcomes. As the demand for efficient loan management solutions continues to grow, Loan Servicing Software is set to become an indispensable tool for financial institutions aiming to optimize their operations and improve customer satisfaction.



    Regionally, North America dominates the SaaS mortgage software market, driven by the presence of major financial institutions and technology vendors. The region's advanced technological infrastructure and high adoption rate of digital solutions are key factors contributing to its leadership position. However, regions such as Asia Pacific are witnessing significant growth, with countries like China and India increasingly adopting SaaS solutions to support their expanding financial services sectors. Europe also presents a lucrative market, particularly in the wake of stringent regulatory requirements that drive the demand for compliant and efficient mortgage software solutions. As these region

  10. ICE US ICE U.S. Jumbo 30-year Fixed Mortgage Rate Lock Weighted APR Index...

    • databento.com
    csv, dbn, json
    Updated Dec 23, 2018
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    Databento (2018). ICE US ICE U.S. Jumbo 30-year Fixed Mortgage Rate Lock Weighted APR Index Futures (30J) - Real-time and Historical Data [Dataset]. https://databento.com/catalog/ifus/IFUS.IMPACT/futures/30J
    Explore at:
    csv, json, dbnAvailable download formats
    Dataset updated
    Dec 23, 2018
    Dataset provided by
    Databento Inc.
    Authors
    Databento
    Time period covered
    Dec 23, 2018 - Present
    Area covered
    Worldwide
    Description

    Browse ICE U.S. Jumbo 30-year Fixed Mortgage Rate Lock Weighted APR Index Futures (30J) market data. Get instant pricing estimates and make batch downloads of binary, CSV, and JSON flat files.

    ICE Futures US iMpact is the primary data feed for ICE Futures US and covers the majority of trading in agricultural commodities, including sugar, coffee, cotton, and cocoa futures and options. This comprehensive market data feed also includes financial products such as equity indexes, currencies, and US Treasury futures contracts. The dataset provides complete market depth information across all listed outrights, spreads, options, and options combinations for every expiration month. ICE Futures US represents one of the most significant exchanges for US-based agricultural and financial derivatives, offering essential price discovery and risk management tools for global market participants.

    Asset class: Futures, Options

    Origin: Captured at Aurora DC3 with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP

    Supported data encodings: DBN, CSV, JSON (Learn more)

    Supported market data schemas: MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Statistics (Learn more)

    Resolution: Immediate publication, nanosecond-resolution timestamps

  11. T

    United States Average Monthly Prime Lending Rate

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, United States Average Monthly Prime Lending Rate [Dataset]. https://tradingeconomics.com/united-states/bank-lending-rate
    Explore at:
    json, xml, excel, csvAvailable download formats
    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 31, 1950 - Jun 30, 2025
    Area covered
    United States
    Description

    Bank Lending Rate in the United States remained unchanged at 7.50 percent in June. This dataset provides - United States Average Monthly Prime Lending Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  12. F

    30-Year Fixed Rate FHA Mortgage Index

    • fred.stlouisfed.org
    json
    Updated Jul 11, 2025
    + more versions
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    30-Year Fixed Rate FHA Mortgage Index [Dataset]. https://fred.stlouisfed.org/series/OBMMIFHA30YF
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 11, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Description

    Graph and download economic data for 30-Year Fixed Rate FHA Mortgage Index (OBMMIFHA30YF) from 2017-01-03 to 2025-07-10 about FHA, 30-year, fixed, mortgage, rate, indexes, and USA.

  13. F

    30-Year Fixed Rate Veterans Affairs Mortgage Index

    • fred.stlouisfed.org
    json
    Updated Jul 11, 2025
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    (2025). 30-Year Fixed Rate Veterans Affairs Mortgage Index [Dataset]. https://fred.stlouisfed.org/series/OBMMIVA30YF
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 11, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Description

    Graph and download economic data for 30-Year Fixed Rate Veterans Affairs Mortgage Index (OBMMIVA30YF) from 2017-01-03 to 2025-07-10 about veterans, 30-year, fixed, mortgage, rate, indexes, and USA.

  14. Historical mortgage rates in the Netherlands 2003-2024, by mortgage term

    • statista.com
    • ai-chatbox.pro
    Updated Jun 20, 2025
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    Statista (2025). Historical mortgage rates in the Netherlands 2003-2024, by mortgage term [Dataset]. https://www.statista.com/statistics/596336/interest-rate-for-new-mortgages-in-the-netherlands/
    Explore at:
    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Netherlands
    Description

    Mortgage rates in the Netherlands increased sharply in 2022 and 2023, after declining gradually between 2008 and 2021. In December 2022, the average interest rate for new mortgage loans stood at **** percent, and by the end of 2023, it had risen to **** percent. The 10-year interest rate was the lowest, at **** percent; the floating and less than one-year interest rates amounted to **** and **** percent, respectively. In early 2024, mortgage rates decreased notably. Are mortgage rates in the Netherlands different from those in other European countries? When comparing this ranking to data that covers multiple European countries, the Netherlands’ mortgage rate was similar to the rates found in Spain, the United Kingdom, and Sweden. It was, however, a lot lower than the rates in Eastern Europe. Hungary and Romania, for example, had some of the highest mortgage rates. For more information on the European mortgage market and how much the countries differ from each other, please visit this dedicated research page. How big is the mortgage market in the Netherlands? The Netherlands has overall seen an increase in the number of mortgage loans sold and is regarded as one of the countries with the highest mortgage debt in Europe. The reason behind this is that Dutch homeowners were able to for many years to deduct interest paid from pre-tax income (a system known in the Netherlands as hypotheekrenteaftrek). Total mortgage debt of Dutch households has been increasing year-on-year since 2013.

  15. Mortgage Rates Across Live Oak County, Texas

    • ownwell.com
    Updated Mar 1, 2025
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    Ownwell (2025). Mortgage Rates Across Live Oak County, Texas [Dataset]. https://www.ownwell.com/trends/texas/live-oak-county
    Explore at:
    Dataset updated
    Mar 1, 2025
    Dataset authored and provided by
    Ownwell
    License

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

    Area covered
    Live Oak County, Texas
    Description

    The table below showcases the 10th, 25th, 50th, 75th, and 90th percentiles of mortgage rates for each city in Live Oak County, Texas. It's important to understand that mortgage rates can vary greatly and can change yearly.

  16. United States US: Real Interest Rate

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States US: Real Interest Rate [Dataset]. https://www.ceicdata.com/en/united-states/interest-rates/us-real-interest-rate
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    United States
    Variables measured
    Money Market Rate
    Description

    United States US: Real Interest Rate data was reported at 2.208 % pa in 2016. This records an increase from the previous number of 2.152 % pa for 2015. United States US: Real Interest Rate data is updated yearly, averaging 3.162 % pa from Dec 1961 (Median) to 2016, with 56 observations. The data reached an all-time high of 8.720 % pa in 1981 and a record low of -1.280 % pa in 1975. United States US: Real Interest Rate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Interest Rates. Real interest rate is the lending interest rate adjusted for inflation as measured by the GDP deflator. The terms and conditions attached to lending rates differ by country, however, limiting their comparability.; ; International Monetary Fund, International Financial Statistics and data files using World Bank data on the GDP deflator.; ;

  17. Mortgage Rates Across Campbellton, Live Oak County, Texas

    • ownwell.com
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    Ownwell, Mortgage Rates Across Campbellton, Live Oak County, Texas [Dataset]. https://www.ownwell.com/trends/texas/live-oak-county/campbellton
    Explore at:
    Dataset authored and provided by
    Ownwell
    License

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

    Area covered
    Live Oak County, Texas
    Description

    The table below showcases the 10th, 25th, 50th, 75th, and 90th percentiles of mortgage rates for each zip code in Campbellton, Texas. It's important to understand that mortgage rates can vary greatly and can change yearly.

  18. Digital Mortgage Solution Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Digital Mortgage Solution Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/digital-mortgage-solution-market
    Explore at:
    csv, pdf, pptxAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Digital Mortgage Solution Market Outlook



    The global digital mortgage solution market size was valued at approximately USD 4.2 billion in 2023 and is projected to reach USD 13.8 billion by 2032, growing at a compound annual growth rate (CAGR) of 14.2% during the forecast period. The growth of this market is primarily driven by the increasing demand for streamlined and efficient mortgage processes, enhanced user experience, and the adoption of advanced technologies such as artificial intelligence and blockchain within the mortgage industry.



    A significant growth factor for the digital mortgage solution market is the rising consumer expectation for faster and more transparent mortgage processes. As consumers become more digitally savvy, there is an increasing demand for mortgage solutions that offer quick approvals and seamless processing. This has led financial institutions to invest heavily in digital transformation to stay competitive and meet customer expectations. Moreover, the utilization of AI and machine learning in assessing credit risk and automating paperwork has significantly reduced the time and cost associated with traditional mortgage processes.



    Another driving factor is the regulatory landscape that mandates compliance and risk management within the mortgage industry. Traditional mortgage processes often involve a significant amount of paperwork and manual intervention, increasing the chances of errors and non-compliance. Digital mortgage solutions mitigate these risks by offering automated compliance checks and real-time updates, ensuring that all transactions adhere to the latest regulatory requirements. This not only reduces the compliance burden on financial institutions but also enhances the overall efficiency of the mortgage process.



    The integration of blockchain technology in digital mortgage solutions is another key growth factor. Blockchain offers a secure and transparent way to record and share information, which is crucial in the mortgage industry. By utilizing blockchain, financial institutions can reduce fraud, enhance data security, and provide a more transparent and trustworthy service to their customers. This technological advancement is expected to further fuel the growth of the digital mortgage solution market in the coming years.



    Regionally, North America is expected to dominate the digital mortgage solution market due to the high adoption rate of advanced technologies and the presence of major financial institutions. Europe is also anticipated to show significant growth, driven by regulatory changes and the demand for efficient mortgage processes. The Asia Pacific region is likely to witness substantial growth as well, propelled by increasing digitalization efforts and the expanding middle-class population seeking home loans. Latin America and the Middle East & Africa are expected to show moderate growth due to evolving financial landscapes and increasing investments in digital infrastructure.



    Reverse Mortgage Providers are becoming increasingly relevant in the digital mortgage landscape as they offer unique solutions tailored to senior homeowners. These providers specialize in converting home equity into cash, allowing older adults to access funds without the need to sell their homes. As the population ages, the demand for reverse mortgages is expected to rise, prompting digital mortgage solution providers to integrate features that cater to this market segment. By leveraging digital tools, reverse mortgage providers can offer streamlined processes, enhanced customer service, and improved compliance with regulatory standards. This integration not only benefits the providers but also enhances the overall digital mortgage ecosystem by offering diverse financial solutions to a broader audience.



    Component Analysis



    The digital mortgage solution market can be segmented by components into software and services. The software segment is expected to hold the largest market share, driven by the increasing adoption of mortgage management software that automates various aspects of the mortgage process. These software solutions offer features such as document management, loan origination, underwriting, and closing, which significantly reduce processing time and improve accuracy. The need for customizable software solutions that can integrate with existing systems is also driving the growth of this segment.



    Within the software segment, cloud-based solutions are gaining p

  19. Mortgage Rates By Banks in Canada

    • rates.ca
    Updated Jul 24, 2024
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    RATESDOTCA (2024). Mortgage Rates By Banks in Canada [Dataset]. https://rates.ca/mortgage-rates
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    Dataset updated
    Jul 24, 2024
    Dataset provided by
    RATESDOTCA Group Ltd.
    Authors
    RATESDOTCA
    Time period covered
    2001 - 2023
    Area covered
    Canada
    Variables measured
    Mortgage rates
    Description

    Rates have been trending downward in Canada for the last five years. The ebbs and flows are caused by changes in Canada’s bond yields (driven by Canadians economic developments and international rate movements, particularly U.S. rate fluctuations) and the overnight rate (which is set by the Bank of Canada). As of August 2022, there has been a 225 bps increase in the prime rate, since beginning of year 2022, from 2.45% to 4.70% as of Aug 24th 2022. The following are the historical conventional mortgage rates offered by the 6 major chartered banks in Canada in the past 20 years.

  20. Average mortgage interest rates in the UK 2000-2025, by month and type

    • statista.com
    Updated Jun 24, 2025
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    Statista (2025). Average mortgage interest rates in the UK 2000-2025, by month and type [Dataset]. https://www.statista.com/statistics/386301/uk-average-mortgage-interest-rates/
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    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2000 - May 2025
    Area covered
    United Kingdom
    Description

    Mortgage rates increased at a record pace in 2022, with the 10-year fixed mortgage rate doubling between March 2022 and December 2022. With inflation increasing, the Bank of England introduced several bank rate hikes, resulting in higher mortgage rates. In May 2025, the average 10-year fixed rate interest rate reached **** percent. As borrowing costs get higher, demand for housing is expected to decrease, leading to declining market sentiment and slower house price growth. How have the mortgage hikes affected the market? After surging in 2021, the number of residential properties sold declined in 2023, reaching just above *** million. Despite the number of transactions falling, this figure was higher than the period before the COVID-19 pandemic. The falling transaction volume also impacted mortgage borrowing. Between the first quarter of 2023 and the first quarter of 2024, the value of new mortgage loans fell year-on-year for five straight quarters in a row. How are higher mortgages affecting homebuyers? Homeowners with a mortgage loan usually lock in a fixed rate deal for two to ten years, meaning that after this period runs out, they need to renegotiate the terms of the loan. Many of the mortgages outstanding were taken out during the period of record-low mortgage rates and have since faced notable increases in their monthly repayment. About **** million homeowners are projected to see their deal expire by the end of 2026. About *** million of these loans are projected to experience a monthly payment increase of up to *** British pounds by 2026.

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TRADING ECONOMICS (2025). United States 30-Year Mortgage Rate [Dataset]. https://tradingeconomics.com/united-states/30-year-mortgage-rate

United States 30-Year Mortgage Rate

United States 30-Year Mortgage Rate - Historical Dataset (1971-04-01/2025-07-10)

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csv, json, xml, excelAvailable download formats
Dataset updated
Jul 10, 2025
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
Apr 1, 1971 - Jul 10, 2025
Area covered
United States
Description

30 Year Mortgage Rate in the United States increased to 6.72 percent in July 10 from 6.67 percent in the previous week. This dataset includes a chart with historical data for the United States 30 Year Mortgage Rate.

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