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. 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

  4. 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 (2020). 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.

  5. 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.

  6. 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

  7. United States Mortgage Fixed Rate: Mth Avg: 15 Year

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States Mortgage Fixed Rate: Mth Avg: 15 Year [Dataset]. https://www.ceicdata.com/en/united-states/mortgage-interest-rate/mortgage-fixed-rate-mth-avg-15-year
    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
    May 1, 2017 - Apr 1, 2018
    Area covered
    United States
    Variables measured
    Money Market Rate
    Description

    United States Mortgage Fixed Rate: Mth Avg: 15 Year data was reported at 4.250 % pa in Oct 2018. This records an increase from the previous number of 4.080 % pa for Sep 2018. United States Mortgage Fixed Rate: Mth Avg: 15 Year data is updated monthly, averaging 5.680 % pa from Sep 1991 (Median) to Oct 2018, with 326 observations. The data reached an all-time high of 8.800 % pa in Jan 1995 and a record low of 2.660 % pa in Apr 2013. United States Mortgage Fixed Rate: Mth Avg: 15 Year data remains active status in CEIC and is reported by Federal Home Loan Mortgage Corporation, Freddie Mac. The data is categorized under Global Database’s United States – Table US.M012: Mortgage Interest Rate.

  8. 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 (2024). 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
    Bulgaria, Luxembourg, Estonia, 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.

  9. 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
    Explore at:
    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.

  10. T

    United States 30-Year Mortgage Rate

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 26, 2025
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    TRADING ECONOMICS (2025). United States 30-Year Mortgage Rate [Dataset]. https://tradingeconomics.com/united-states/30-year-mortgage-rate
    Explore at:
    csv, json, xml, excelAvailable download formats
    Dataset updated
    Jun 26, 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 - Jun 26, 2025
    Area covered
    United States
    Description

    30 Year Mortgage Rate in the United States decreased to 6.77 percent in June 26 from 6.81 percent in the previous week. This dataset includes a chart with historical data for the United States 30 Year Mortgage Rate.

  11. New Zealand Mortgage Interest Rate: Flexible

    • ceicdata.com
    Updated Jun 13, 2023
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    CEICdata.com (2023). New Zealand Mortgage Interest Rate: Flexible [Dataset]. https://www.ceicdata.com/en/new-zealand/mortgage-interest-rate
    Explore at:
    Dataset updated
    Jun 13, 2023
    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
    Mar 15, 2025 - Mar 26, 2025
    Area covered
    New Zealand
    Description

    Mortgage Interest Rate: Flexible data was reported at 6.800 % pa in 18 May 2025. This stayed constant from the previous number of 6.800 % pa for 17 May 2025. Mortgage Interest Rate: Flexible data is updated daily, averaging 8.600 % pa from Feb 2023 (Median) to 18 May 2025, with 837 observations. The data reached an all-time high of 8.750 % pa in 31 Jul 2024 and a record low of 6.800 % pa in 18 May 2025. Mortgage Interest Rate: Flexible data remains active status in CEIC and is reported by ANZ Bank New Zealand. The data is categorized under High Frequency Database’s Lending Rates – Table NZ.DL001: Mortgage Interest Rate.

  12. Median mortgage rate in the U.S. 2019-2023, by race

    • statista.com
    Updated Jan 30, 2025
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    Statista (2025). Median mortgage rate in the U.S. 2019-2023, by race [Dataset]. https://www.statista.com/statistics/1362725/median-mortgage-rates-in-the-us-by-race/
    Explore at:
    Dataset updated
    Jan 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The median mortgage rate was the highest among Black and Hispanic mortgage applicants in the third quarter of 2023, followed closely by White applicants. Asian mortgage applicants for conventional conforming loans had lower interest rate, amounting to 6.63 percent.

  13. N

    Norway NB Forecast: Mortgage Rate

    • ceicdata.com
    Updated Mar 15, 2023
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    CEICdata.com (2023). Norway NB Forecast: Mortgage Rate [Dataset]. https://www.ceicdata.com/en/norway/money-market-and-key-policy-rates-forecast-norges-bank
    Explore at:
    Dataset updated
    Mar 15, 2023
    Dataset provided by
    CEICdata.com
    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, 2024 - Sep 1, 2027
    Area covered
    Norway
    Variables measured
    Money Market Rate
    Description

    NB Forecast: Mortgage Rate data was reported at 4.480 % in Dec 2028. This records a decrease from the previous number of 4.510 % for Sep 2028. NB Forecast: Mortgage Rate data is updated quarterly, averaging 2.990 % from Jun 2015 (Median) to Dec 2028, with 55 observations. The data reached an all-time high of 5.700 % in Sep 2024 and a record low of 1.810 % in Dec 2021. NB Forecast: Mortgage Rate data remains active status in CEIC and is reported by Norges Bank. The data is categorized under Global Database’s Norway – Table NO.M006: Money Market and Key Policy Rates: Forecast: Norges Bank.

  14. 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]

  15. F

    15-Year Fixed Rate Mortgage Average in the United States

    • fred.stlouisfed.org
    json
    Updated Jun 26, 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
    Jun 26, 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 2025-06-26 about 15-year, fixed, mortgage, interest rate, interest, rate, and USA.

  16. 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!

  17. 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

  18. Central bank interest rates in the U.S. and Europe 2022-2023, with a...

    • statista.com
    • ai-chatbox.pro
    Updated Jun 20, 2025
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    Statista (2025). Central bank interest rates in the U.S. and Europe 2022-2023, with a forecast to 2027 [Dataset]. https://www.statista.com/statistics/1429525/policy-interest-rates-forecast-in-europe-and-us/
    Explore at:
    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Europe, EU, United States, United Kingdom, Switzerland
    Description

    Policy interest rates in the U.S. and Europe are forecasted to decrease gradually between 2024 and 2027, following exceptional increases triggered by soaring inflation between 2021 and 2023. The U.S. federal funds rate stood at **** percent at the end of 2023, the European Central Bank deposit rate at **** percent, and the Swiss National Bank policy rate at **** percent. With inflationary pressures stabilizing, policy interest rates are forecast to decrease in each observed region. The U.S. federal funds rate is expected to decrease to *** percent, the ECB refi rate to **** percent, the Bank of England bank rate to **** percent, and the Swiss National Bank policy rate to **** percent by 2025. An interesting aspect to note is the impact of these interest rate changes on various economic factors such as growth, employment, and inflation. The impact of central bank policy rates The U.S. federal funds effective rate, crucial in determining the interest rate paid by depository institutions, experienced drastic changes in response to the COVID-19 pandemic. The subsequent slight changes in the effective rate reflected the efforts to stimulate the economy and manage economic factors such as inflation. Such fluctuations in the federal funds rate have had a significant impact on the overall economy. The European Central Bank's decision to cut its fixed interest rate in June 2024 for the first time since 2016 marked a significant shift in attitude towards economic conditions. The reasons behind the fluctuations in the ECB's interest rate reflect its mandate to ensure price stability and manage inflation, shedding light on the complex interplay between interest rates and economic factors. Inflation and real interest rates The relationship between inflation and interest rates is critical in understanding the actions of central banks. Central banks' efforts to manage inflation through interest rate adjustments reveal the intricate balance between economic growth and inflation. Additionally, the concept of real interest rates, adjusted for inflation, provides valuable insights into the impact of inflation on the economy.

  19. 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

  20. T

    Sweden Interest Rate

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    • pt.tradingeconomics.com
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    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
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    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.

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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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