100+ datasets found
  1. T

    United States MBA 30-Yr Mortgage Rate

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 2, 2025
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    TRADING ECONOMICS (2025). United States MBA 30-Yr Mortgage Rate [Dataset]. https://tradingeconomics.com/united-states/mortgage-rate
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    xml, excel, json, csvAvailable download formats
    Dataset updated
    Jul 2, 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 - Jun 27, 2025
    Area covered
    United States
    Description

    Fixed 30-year mortgage rates in the United States averaged 6.79 percent in the week ending June 27 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.

  2. 30-year fixed rate mortgage vs. 10-year treasury yield forecast in the U.S....

    • statista.com
    • ai-chatbox.pro
    Updated May 13, 2025
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    Statista (2025). 30-year fixed rate mortgage vs. 10-year treasury yield forecast in the U.S. 2024-2027 [Dataset]. https://www.statista.com/statistics/275190/ten-year-treasury-constant-maturity-rate-in-the-united-states-as-of-2009/
    Explore at:
    Dataset updated
    May 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United States
    Description

    The 10-year treasury constant maturity rate in the U.S. is forecast to increase by *** percentage points by 2027, while the 30-year fixed mortgage rate is expected to fall by *** percentage points. From *** percent in 2024, the average 30-year mortgage rate is projected to reach *** percent in 2027.

  3. T

    MORTGAGE RATE by Country Dataset

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 28, 2017
    + more versions
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    TRADING ECONOMICS (2017). MORTGAGE RATE by Country Dataset [Dataset]. https://tradingeconomics.com/country-list/mortgage-rate
    Explore at:
    csv, excel, xml, jsonAvailable download formats
    Dataset updated
    May 28, 2017
    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
    2025
    Area covered
    World
    Description

    This dataset provides values for MORTGAGE RATE reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

  4. 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

  5. M

    30 Year Fixed Mortgage Rate - Historical Chart

    • macrotrends.net
    csv
    Updated Jul 31, 2025
    + more versions
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    MACROTRENDS (2025). 30 Year Fixed Mortgage Rate - Historical Chart [Dataset]. https://www.macrotrends.net/2604/30-year-fixed-mortgage-rate-chart
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    csvAvailable download formats
    Dataset updated
    Jul 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    1971 - 2025
    Area covered
    United States
    Description

    Interactive historical chart showing the 30 year fixed rate mortgage average in the United States since 1971.

  6. What are 30 year mortgage rates? (Forecast)

    • kappasignal.com
    Updated May 13, 2023
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    KappaSignal (2023). What are 30 year mortgage rates? (Forecast) [Dataset]. https://www.kappasignal.com/2023/05/what-are-30-year-mortgage-rates.html
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    Dataset updated
    May 13, 2023
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

    What are 30 year mortgage rates?

    Financial data:

    • Historical daily stock prices (open, high, low, close, volume)

    • Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

    • Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

    Machine learning features:

    • Feature engineering based on financial data and technical indicators

    • Sentiment analysis data from social media and news articles

    • Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

    Potential Applications:

    • Stock price prediction

    • Portfolio optimization

    • Algorithmic trading

    • Market sentiment analysis

    • Risk management

    Use Cases:

    • Researchers investigating the effectiveness of machine learning in stock market prediction

    • Analysts developing quantitative trading Buy/Sell strategies

    • Individuals interested in building their own stock market prediction models

    • Students learning about machine learning and financial applications

    Additional Notes:

    • The dataset may include different levels of granularity (e.g., daily, hourly)

    • Data cleaning and preprocessing are essential before model training

    • Regular updates are recommended to maintain the accuracy and relevance of the data

  7. F

    15-Year Fixed Rate Mortgage Average in the United States

    • fred.stlouisfed.org
    json
    Updated Jul 3, 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 3, 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 2025-07-03 about 15-year, fixed, mortgage, interest rate, interest, rate, and USA.

  8. T

    30 YEAR MORTGAGE RATE by Country Dataset

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 1, 2023
    + more versions
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    TRADING ECONOMICS (2023). 30 YEAR MORTGAGE RATE by Country Dataset [Dataset]. https://tradingeconomics.com/country-list/30-year-mortgage-rate
    Explore at:
    csv, excel, xml, jsonAvailable download formats
    Dataset updated
    Jun 1, 2023
    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
    2025
    Area covered
    World
    Description

    This dataset provides values for 30 YEAR MORTGAGE RATE reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

  9. Growth rate forecast of household loans and advances in Europe 2023-2025, by...

    • statista.com
    • ai-chatbox.pro
    Updated Jun 30, 2025
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    Statista (2025). Growth rate forecast of household loans and advances in Europe 2023-2025, by country [Dataset]. https://www.statista.com/statistics/1305457/growth-rate-of-household-loans-and-advances-in-selected-european-countries/
    Explore at:
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Estonia, Hungary, Luxembourg, Bulgaria, Poland, Germany, Belgium, European Union
    Description

    Bulgaria was at the top of this ranking of ** European countries sorted by the growth rate of their volume of loans to households in 2023. Loans to households in the European Union and the European Economic Area are expected to grow on average by over ***** percent in 2024. Meanwhile, the loans and advances market in Germany is expected to increase by *** percent in 2024. Overall, the total value of the household loans market in the EU as a whole is expected to keep growing during that timeline.

  10. g

    AI Search Data for "mortgage rate forecast 2025"

    • geneo.app
    html
    Updated Jul 1, 2025
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    Geneo (2025). AI Search Data for "mortgage rate forecast 2025" [Dataset]. https://geneo.app/query-reports/mortgage-rate-forecast-2025
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Jul 1, 2025
    Dataset authored and provided by
    Geneo
    Description

    Brand performance data collected from AI search platforms for the query "mortgage rate forecast 2025".

  11. Mortgage interest rates in selected countries worldwide 2024

    • statista.com
    • ai-chatbox.pro
    Updated Jun 20, 2025
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    Statista (2025). Mortgage interest rates in selected countries worldwide 2024 [Dataset]. https://www.statista.com/statistics/1211807/mortgage-interest-rates-globally-by-country/
    Explore at:
    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 2024
    Area covered
    Worldwide
    Description

    Mortgage interest rates worldwide varied greatly in 2024, from less than **** percent in many European countries, to as high as ** percent in Turkey. The average mortgage rate in a country depends on the central bank's base lending rate and macroeconomic indicators such as inflation and forecast economic growth. Since 2022, inflationary pressures have led to rapid increase in mortgage interest rates. Which are the leading mortgage markets? An easy way to estimate the importance of the mortgage sector in each country is by comparing household debt depth, or the ratio of the debt held by households compared to the county's GDP. In 2023, Switzerland, Australia, and Canada had some of the highest household debt to GDP ratios worldwide. While this indicator shows the size of the sector relative to the country’s economy, the value of mortgages outstanding allows to compare the market size in different countries. In Europe, for instance, the United Kingdom, Germany, and France were the largest mortgage markets by outstanding mortgage lending. Mortgage lending trends in the U.S. In the United States, new mortgage lending soared in 2021. This was largely due to the growth of new refinance loans that allow homeowners to renegotiate their mortgage terms and replace their existing loan with a more favorable one. Following the rise in interest rates, the mortgage market cooled, and refinance loans declined.

  12. Residential Mortgage Loan Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 23, 2024
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    Dataintelo (2024). Residential Mortgage Loan Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-residential-mortgage-loan-market
    Explore at:
    csv, pdf, pptxAvailable download formats
    Dataset updated
    Sep 23, 2024
    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

    Residential Mortgage Loan Market Outlook



    The global residential mortgage loan market size was valued at approximately USD 15 trillion in 2023 and is projected to reach around USD 25 trillion by 2032, growing at a compound annual growth rate (CAGR) of 6.1% over the forecast period. The primary growth drivers for this market include increasing urbanization, rising disposable incomes, and favorable government policies aimed at promoting home ownership.



    One of the most significant factors contributing to the growth of the residential mortgage loan market is urbanization. As more people move to urban areas in search of better opportunities and living conditions, the demand for residential properties has surged. This urban migration has led to a corresponding increase in the demand for mortgage loans, as individuals seek financial assistance to purchase homes. Additionally, the trend of nuclear families is gaining traction, further boosting the demand for residential properties and, consequently, mortgage loans.



    Rising disposable incomes and improved economic conditions have also played a crucial role in the expansion of the residential mortgage loan market. As people earn more, they are more likely to invest in real estate, viewing homeownership as a long-term investment and a means of financial security. Furthermore, low-interest rates on mortgage loans, driven by monetary policies of various countries, have made borrowing more affordable, encouraging more people to take out mortgage loans.



    Government policies and initiatives aimed at promoting homeownership have significantly fueled the growth of the residential mortgage loan market. Many countries offer tax incentives, subsidies, and lower interest rates for first-time homebuyers and low-income groups. Such policies are designed to make homeownership more accessible and affordable, driving the demand for mortgage loans. Additionally, governments are increasingly collaborating with financial institutions to provide affordable housing solutions, further stimulating market growth.



    On a regional level, North America and Europe have traditionally dominated the residential mortgage loan market due to their mature real estate markets and high homeownership rates. However, emerging economies in the Asia Pacific and Latin America regions are witnessing rapid growth in this sector. Factors such as increasing population, urbanization, and rising middle-class incomes are driving the demand for residential mortgage loans in these regions. Moreover, favorable government policies and a growing number of financial institutions offering mortgage products are further contributing to market expansion.



    Type Analysis



    The residential mortgage loan market is segmented by type into fixed-rate mortgages, adjustable-rate mortgages, interest-only mortgages, and others. Fixed-rate mortgages are the most popular type, owing to their stability and predictability. Borrowers prefer fixed-rate mortgages because they offer a consistent monthly payment plan, making it easier for them to budget and plan their finances. This stability is particularly appealing during times of economic uncertainty or fluctuating interest rates.



    Adjustable-rate mortgages (ARMs), on the other hand, offer lower initial interest rates compared to fixed-rate mortgages. However, the rate can fluctuate based on market conditions, which can either be an advantage or a risk for borrowers. ARMs are often chosen by those who plan to sell or refinance their homes before the adjustable period begins. This type of mortgage is popular among borrowers who are willing to take a risk for the potential benefit of lower initial costs.



    Interest-only mortgages allow borrowers to pay only the interest on the loan for a specified period, usually between five to ten years. After this period, the borrower must start paying both the principal and the interest, resulting in higher monthly payments. Interest-only mortgages are typically utilized by investors or those expecting a significant increase in income in the future. This type allows for lower initial payments, providing greater cash flow flexibility in the short term.



    The 'Others' category includes various specialized mortgage products tailored to meet specific borrower needs. These can include reverse mortgages, which allow seniors to convert part of their home equity into cash, and jumbo loans, which cater to borrowers looking to finance luxury homes that exceed conforming loan limits. The diversity in mortgage types ensures that there are suitab

  13. Canada Conventional Mortgage: 5 Years: Weekly

    • ceicdata.com
    + more versions
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    CEICdata.com, Canada Conventional Mortgage: 5 Years: Weekly [Dataset]. https://www.ceicdata.com/en/canada/conventional-mortgage-rate/conventional-mortgage-5-years-weekly
    Explore at:
    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
    Jan 1, 2025 - Mar 19, 2025
    Area covered
    Canada
    Variables measured
    Lending Rate
    Description

    Canada Conventional Mortgage: 5 Years: Weekly data was reported at 6.490 % pa in 07 May 2025. This stayed constant from the previous number of 6.490 % pa for 30 Apr 2025. Canada Conventional Mortgage: 5 Years: Weekly data is updated weekly, averaging 5.700 % pa from Jan 2000 (Median) to 07 May 2025, with 1323 observations. The data reached an all-time high of 8.750 % pa in 31 May 2000 and a record low of 4.640 % pa in 12 Jul 2017. Canada Conventional Mortgage: 5 Years: Weekly data remains active status in CEIC and is reported by Bank of Canada. The data is categorized under Global Database’s Canada – Table CA.M005: Conventional Mortgage Rate. [COVID-19-IMPACT]

  14. Forecast: Household Expenditure on Mortgage Interest and Charges in the US...

    • reportlinker.com
    Updated Apr 11, 2024
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    ReportLinker (2024). Forecast: Household Expenditure on Mortgage Interest and Charges in the US 2022 - 2026 [Dataset]. https://www.reportlinker.com/dataset/5a6de07b2b4a316b017d9215f6d0f02ecead7220
    Explore at:
    Dataset updated
    Apr 11, 2024
    Dataset authored and provided by
    ReportLinker
    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
    United States
    Description

    Forecast: Household Expenditure on Mortgage Interest and Charges in the US 2022 - 2026 Discover more data with ReportLinker!

  15. Mortgage Rates: Hot Economic Conjecture Puts the Squeeze on Homebuyers...

    • kappasignal.com
    Updated Jun 3, 2023
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    KappaSignal (2023). Mortgage Rates: Hot Economic Conjecture Puts the Squeeze on Homebuyers (Forecast) [Dataset]. https://www.kappasignal.com/2023/06/mortgage-rates-hot-economic-conjecture.html
    Explore at:
    Dataset updated
    Jun 3, 2023
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

    Mortgage Rates: Hot Economic Conjecture Puts the Squeeze on Homebuyers

    Financial data:

    • Historical daily stock prices (open, high, low, close, volume)

    • Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

    • Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

    Machine learning features:

    • Feature engineering based on financial data and technical indicators

    • Sentiment analysis data from social media and news articles

    • Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

    Potential Applications:

    • Stock price prediction

    • Portfolio optimization

    • Algorithmic trading

    • Market sentiment analysis

    • Risk management

    Use Cases:

    • Researchers investigating the effectiveness of machine learning in stock market prediction

    • Analysts developing quantitative trading Buy/Sell strategies

    • Individuals interested in building their own stock market prediction models

    • Students learning about machine learning and financial applications

    Additional Notes:

    • The dataset may include different levels of granularity (e.g., daily, hourly)

    • Data cleaning and preprocessing are essential before model training

    • Regular updates are recommended to maintain the accuracy and relevance of the data

  16. T

    Sweden Interest Rate

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +12more
    csv, excel, json, xml
    Updated May 8, 2025
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    TRADING ECONOMICS (2025). Sweden Interest Rate [Dataset]. https://tradingeconomics.com/sweden/interest-rate
    Explore at:
    csv, excel, xml, jsonAvailable download formats
    Dataset updated
    May 8, 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
    May 26, 1994 - Jun 18, 2025
    Area covered
    Sweden
    Description

    The benchmark interest rate in Sweden was last recorded at 2 percent. This dataset provides the latest reported value for - Sweden Interest Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  17. Mortgage affordability in the UK 2002-2022 with a forecast until 2026

    • statista.com
    Updated Dec 4, 2023
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    Statista (2023). Mortgage affordability in the UK 2002-2022 with a forecast until 2026 [Dataset]. https://www.statista.com/statistics/1175257/mortgage-affordability-in-the-uk/
    Explore at:
    Dataset updated
    Dec 4, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    Due to interest rates decreasing in recent years, mortgages in the United Kingdom have become overall more affordable: In 2007, when mortgages were the least affordable, a home buyer spent on average 23.6 percent of their income on mortgage interest and 7.2 percent on capital repayment. In 2019, the year with the most affordable mortgages, mortgage interest accounted for 5.9 percent and capital repayment was 11.5 percent of their income. As interest rates increase in response to the rising inflation, mortgage affordability is expected to worsen. Though below the levels observed before 2007, the total mortgage repayment between 2022 and 2026 is expected to exceed 23 percent of income.

  18. Mortgage Rates Soar, Making Homeownership Out of Reach for Many (Forecast)

    • kappasignal.com
    Updated Jun 1, 2023
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    KappaSignal (2023). Mortgage Rates Soar, Making Homeownership Out of Reach for Many (Forecast) [Dataset]. https://www.kappasignal.com/2023/06/mortgage-rates-soar-making.html
    Explore at:
    Dataset updated
    Jun 1, 2023
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

    Mortgage Rates Soar, Making Homeownership Out of Reach for Many

    Financial data:

    • Historical daily stock prices (open, high, low, close, volume)

    • Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

    • Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

    Machine learning features:

    • Feature engineering based on financial data and technical indicators

    • Sentiment analysis data from social media and news articles

    • Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

    Potential Applications:

    • Stock price prediction

    • Portfolio optimization

    • Algorithmic trading

    • Market sentiment analysis

    • Risk management

    Use Cases:

    • Researchers investigating the effectiveness of machine learning in stock market prediction

    • Analysts developing quantitative trading Buy/Sell strategies

    • Individuals interested in building their own stock market prediction models

    • Students learning about machine learning and financial applications

    Additional Notes:

    • The dataset may include different levels of granularity (e.g., daily, hourly)

    • Data cleaning and preprocessing are essential before model training

    • Regular updates are recommended to maintain the accuracy and relevance of the data

  19. M

    Mortgage Loan Service Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Mar 15, 2025
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    Archive Market Research (2025). Mortgage Loan Service Report [Dataset]. https://www.archivemarketresearch.com/reports/mortgage-loan-service-59252
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    pdf, doc, pptAvailable download formats
    Dataset updated
    Mar 15, 2025
    Dataset authored and provided by
    Archive Market Research
    License

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

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

    The global mortgage loan service market is experiencing robust growth, driven by factors such as increasing urbanization, rising disposable incomes, and favorable government policies promoting homeownership. The market, valued at approximately $2 trillion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 6% from 2025 to 2033. This expansion is fueled by a burgeoning demand for both residential and commercial mortgages, particularly in emerging economies with rapidly expanding middle classes. The residential segment currently dominates the market share, accounting for approximately 70%, with individual borrowers representing the largest application segment. However, the commercial estate and enterprise segments are witnessing significant growth, driven by increased corporate investments and infrastructural development. Key players like Rocket Mortgage, United Shore Financial Services, and Quicken Loans are leveraging technological advancements such as online platforms and AI-powered loan processing to enhance efficiency and customer experience, shaping the competitive landscape. The growth trajectory is expected to be influenced by fluctuating interest rates, macroeconomic conditions, and evolving regulatory frameworks. Nevertheless, the long-term outlook remains positive, underpinned by the fundamental drivers mentioned above. Technological advancements, particularly in fintech, are reshaping the mortgage loan service landscape. The rise of digital platforms, streamlined application processes, and enhanced data analytics are significantly improving accessibility and speed of loan approvals. This efficiency boost is leading to increased competition, encouraging lenders to offer more competitive interest rates and flexible repayment options to attract borrowers. Furthermore, the increasing adoption of alternative credit scoring models is broadening access to mortgage loans for previously underserved populations. Regional variations in market growth are expected, with North America and Asia-Pacific representing the largest markets. However, emerging economies in regions like South America and Africa hold significant potential for future growth, given the increasing demand for housing and infrastructural development within these markets. Geographic expansion and strategic partnerships remain key strategies for players aiming for market dominance within this evolving sector.

  20. U

    US Mortgage Lending Market Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Apr 30, 2025
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    Market Report Analytics (2025). US Mortgage Lending Market Report [Dataset]. https://www.marketreportanalytics.com/reports/us-mortgage-lending-market-99565
    Explore at:
    pdf, doc, pptAvailable download formats
    Dataset updated
    Apr 30, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

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

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

    The US mortgage lending market, a cornerstone of the American economy, is experiencing robust growth, projected to maintain a Compound Annual Growth Rate (CAGR) exceeding 5% from 2025 to 2033. This expansion is fueled by several key factors. Firstly, a consistently increasing population and household formations drive demand for housing, consequently boosting mortgage loan originations. Secondly, historically low interest rates in recent years have stimulated borrowing, making homeownership more accessible. Furthermore, government initiatives aimed at supporting homeownership, along with increasing disposable incomes in certain segments of the population, contribute to the market's positive trajectory. The market is segmented by loan type (fixed-rate mortgages and home equity lines of credit), service providers (commercial banks, financial institutions, credit unions, and other lenders), and application mode (online and offline). Competition is intense among major players like Bank of America, Chase Bank, and US Bank, with smaller institutions and credit unions vying for market share. While the overall trend is positive, potential headwinds include fluctuations in interest rates, economic downturns impacting consumer confidence, and stringent regulatory environments which can impact lending practices. The geographical distribution of the US mortgage lending market reflects regional economic variations. While the United States dominates North America's market share, growth potential exists across various international markets. European and Asian markets, though characterized by distinct regulatory landscapes and consumer behaviors, present opportunities for expansion. The market's future trajectory will depend on several interconnected factors, including macroeconomic conditions, demographic shifts, and technological advancements influencing the mortgage lending process. The continued adoption of digital technologies is expected to streamline lending processes and expand access, impacting the future of the market significantly. Strategic partnerships and acquisitions are also anticipated, further consolidating the market landscape and driving innovation. Recent developments include: August 2023: Spring EQ, a provider of home equity financing solutions, has entered into a definitive agreement to be acquired by an affiliate of Cerberus Capital Management, L.P., a global leader in alternative investing. The main aim of the partnership is to support Spring EQ's mission to deliver offerings and expand its leadership in the home equity financing market., June 2023: VIU by HUB, a digital insurance brokerage platform subsidiary of Hub International Limited, has entered into a new partnership with Unison, a home equity-sharing company. The collaboration will allow homeowners to compare insurance coverage quotes from various carriers and receive expert advice throughout the process.. Key drivers for this market are: Home Renovation Trends are Driving the Market. Potential restraints include: Home Renovation Trends are Driving the Market. Notable trends are: Home Equity Lending Market is Being Stimulated By Rising Home Prices.

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Click to copy link
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TRADING ECONOMICS (2025). United States MBA 30-Yr Mortgage Rate [Dataset]. https://tradingeconomics.com/united-states/mortgage-rate

United States MBA 30-Yr Mortgage Rate

United States MBA 30-Yr Mortgage Rate - Historical Dataset (1990-01-05/2025-06-27)

Explore at:
4 scholarly articles cite this dataset (View in Google Scholar)
xml, excel, json, csvAvailable download formats
Dataset updated
Jul 2, 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 - Jun 27, 2025
Area covered
United States
Description

Fixed 30-year mortgage rates in the United States averaged 6.79 percent in the week ending June 27 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.

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