30 Year Mortgage Rate in the United States increased to 6.75 percent in July 17 from 6.72 percent in the previous week. This dataset includes a chart with historical data for the United States 30 Year Mortgage Rate.

Graph and download economic data for 15-Year Fixed Rate Mortgage Average in the United States from 1991-08-30 to 2025-07-17 about 15-year, fixed, mortgage, interest rate, interest, rate, and USA.

Fixed 30-year mortgage rates in the United States averaged 6.82 percent in the week ending July 11 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.

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 **** percent.

15 Year Mortgage Rate in the United States increased to 5.92 percent in July 17 from 5.86 percent in the previous week. This dataset includes a chart with historical data for the United States 15 Year Mortgage Rate.

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.

15-Year Fixed Rate Mortgage Average in the United States was 5.92% in July of 2025, according to the United States Federal Reserve. Historically, 15-Year Fixed Rate Mortgage Average in the United States reached a record high of 8.89 in December of 1994 and a record low of 2.10 in July of 2021. Trading Economics provides the current actual value, an historical data chart and related indicators for 15-Year Fixed Rate Mortgage Average in the United States - last updated from the United States Federal Reserve on July of 2025.

The rate on 15-year fixed rate mortgages in the United States decreased in the period after the Great Recession and reached its lowest level in 2021, followed by a steep increase in the next two years. In the early 1990s, the rate on a 15-year fixed rate mortgage was between six and nine percent. The rate then fell to 2.27 percent in 2021. After the Federal Reserve introduced several bank rate hikes to tackle the rising inflation, the mortgage rate soared to 6.11 percent — the highest rate observed since 2008. The rate for 30-year fixed mortgages and five-year ARM mortgages followed a similar trend.

30-Year Fixed Rate Mortgage Average in the United States was 6.75% in July of 2025, according to the United States Federal Reserve. Historically, 30-Year Fixed Rate Mortgage Average in the United States reached a record high of 18.63 in October of 1981 and a record low of 2.65 in January of 2021. Trading Economics provides the current actual value, an historical data chart and related indicators for 30-Year Fixed Rate Mortgage Average in the United States - last updated from the United States Federal Reserve on July of 2025.

Graph and download economic data for 30-Year Fixed Rate Conforming Non-Adjusted Mortgage Index (OBMMIC30YFNA) from 2017-01-03 to 2025-07-21 about 30-year, fixed, mortgage, rate, indexes, and USA.

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

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

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.

The average mortgage interest rate decreased in nearly every country in Europe between 2012 and 2021, followed by an increase in response to inflation. In the fourth quarter of 2024, Poland, Hungary, and Romania topped the ranking as the countries with the highest mortgage interest rates in Europe. Conversely, Belgium, Spain, and Italy displayed the lowest interest rates. The UK, which is the country with the largest value of mortgages outstanding, had an interest rate of **** percent.

Graph and download economic data for 30-Year Fixed Rate Jumbo Mortgage Index (OBMMIJUMBO30YF) from 2017-01-03 to 2025-07-18 about jumbo, 30-year, fixed, mortgage, rate, indexes, and USA.

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.

Mortgage credit interest rate, percent in Norway, March, 2025 The most recent value is 5.65 percent as of March 2025, no change compared to the previous value of 5.65 percent. Historically, the average for Norway from December 2013 to March 2025 is 3.22 percent. The minimum of 1.81 percent was recorded in August 2021, while the maximum of 5.73 percent was reached in March 2024. | TheGlobalEconomy.com

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.

Mortgage credit interest rate, percent in Romania, April, 2025 The most recent value is 6.52 percent as of April 2025, a decline compared to the previous value of 6.58 percent. Historically, the average for Romania from January 2007 to April 2025 is 7.79 percent. The minimum of 4.2 percent was recorded in August 2021, while the maximum of 13.65 percent was reached in May 2010. | TheGlobalEconomy.com

Type of Mortgage Loan:Conventional Mortgage Loans: Backed by private investors and typically require a down payment of 20% or more.Jumbo Loans: Loans that exceed the conforming loan limits set by Fannie Mae and Freddie Mac.Government-insured Mortgage Loans: Backed by the Federal Housing Administration (FHA), Department of Veterans Affairs (VA), or U.S. Department of Agriculture (USDA).Others: Includes non-QM loans, reverse mortgages, and shared equity programs.Mortgage Loan Terms:30-year Mortgage: The most common term, offering low monthly payments but higher overall interest costs.20-year Mortgage: Offers a shorter repayment period and lower long-term interest costs.15-year Mortgage: The shortest term, providing lower interest rates and faster equity accumulation.Others: Includes adjustable-rate mortgages (ARMs) and balloons loans.Interest Rate:Fixed-rate Mortgage Loan: Offers a stable interest rate over the life of the loan.Adjustable-rate Mortgage Loan (ARM): Offers an initial interest rate that may vary after a certain period, potentially leading to higher or lower monthly payments.Provider:Primary Mortgage Lender: Originates and services mortgages directly to borrowers.Secondary Mortgage Lender: Purchases mortgages from originators and packages them into securities for sale to investors. Key drivers for this market are: Digital platforms and AI-driven credit assessments have simplified the application process, improving accessibility and borrower experience. Potential restraints include: Fluctuations in interest rates significantly impact borrowing costs, affecting loan demand and affordability. Notable trends are: The adoption of online portals and mobile apps is transforming the mortgage process with faster approvals and greater transparency.