Mortgage News Daily is a leading news and analysis provider of U.S. mortgage markets and publish Mortgage News Daily rate index which is published daily.

Fixed 30-year mortgage rates in the United States averaged 6.83 percent in the week ending July 25 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.

Mortgage Application in the United States increased by 0.80 percent in the week ending July 18 of 2025 over the previous week. This dataset provides - United States MBA Mortgage Applications - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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

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

Uncover historical ownership history and changes over time by performing a reverse Whois lookup for the company Mortgage-Daily-News.

MBA Mortgage Market Index in the United States decreased to 245.70 points in July 25 from 255.50 points in the previous week. This dataset includes a chart with historical data for the United States MBA Mortgage Market Index.

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

Graph and download economic data for 30-Year Fixed Rate Jumbo Mortgage Index (OBMMIJUMBO30YF) from 2017-01-03 to 2025-07-28 about jumbo, 30-year, fixed, mortgage, rate, indexes, and USA.

Price Mortgage, a reputable financial services provider, offers a wealth of information on the mortgage industry. Through their digital platform, users can gain insight into the latest mortgage market trends, rates, and regulations. The company's website serves as a valuable resource for mortgage professionals, lenders, and borrowers alike, providing a comprehensive overview of the mortgage landscape.

With a focus on mortgage origination and servicing, Price Mortgage has established itself as a trusted authority in the industry. Their online presence combines expert analysis, market news, and tools to help users navigate the complex world of mortgages. Whether seeking to stay informed about market fluctuations or to explore options for refinancing or purchasing a new home, Price Mortgage's digital platform is an essential destination for anyone involved in the mortgage sector.

Mortgage Approvals in the United Kingdom increased to 64.17 Thousand in June from 63.29 Thousand in May of 2025. This dataset provides the latest reported value for - United Kingdom Mortgage Approvals - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

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

In 2025, mortgage interest rates in Canada decreased. The five-year insured fixed mortgage interest rate as of May 2025 stood at **** percent, making it the most affordable mortgage type. Meanwhile, the insured mortgage rate fixed for under one year was the highest, at **** percent.

Mortgage Rate in the United Kingdom decreased to 6.98 percent in June from 7.09 percent in May of 2025. This dataset provides - United Kingdom BBA Mortgage Rate- actual values, historical data, forecast, chart, statistics, economic calendar and news.

According to Cognitive Market Research, The Global Mortgage Insurance market size is USD XX million in 2024 and will expand at a compound annual growth rate (CAGR) of 6.20% from 2024 to 2031.

North America Mortgage Insurance held the major market of more than 40% of the global revenue and will grow at a compound annual growth rate (CAGR) of 4.4% from 2024 to 2031.
Europe Mortgage Insurance held the major market of more than 30% of the global revenue and will grow at a compound annual growth rate (CAGR) of 4.7% from 2024 to 2031.
Asia Pacific Mortgage Insurance held the market of around 23% of the global revenue and will grow at a compound annual growth rate (CAGR) of 8.2% from 2024 to 2031
South America Mortgage Insurance market of more than 5% of the global revenue and will grow at a compound annual growth rate (CAGR) of 5.6% from 2024 to 2031.
Middle East and Africa Mortgage Insurance held the major market of around 2% of the global revenue and will grow at a compound annual growth rate (CAGR) of 5.9% from 2024 to 2031.
The borrower-paid mortgage insurance segment is set to rise due to the growing consumer preference for seamless online experiences, accelerating the adoption of digital and direct channels and enhancing accessibility, transparency, and efficiency in the mortgage insurance market.
Expansion of the real estate sector, risk mitigation strategies by financial institutions, and regulatory compliance, ensuring lenders' protection against borrower defaults.

Various Strategies Adopted by Key Players to Provide Viable Market Output

The expanding real estate sector and the imperative for risk mitigation among financial institutions fuels the mortgage insurance market. With rising homeownership, mortgage insurance becomes pivotal, safeguarding lenders from borrower defaults. Key players employ diverse strategies, including technological advancements for efficient risk assessment, partnerships with financial entities, and product innovation. Enhanced customer-centric solutions, compliance with regulatory changes, and strategic alliances contribute to market growth, ensuring robust risk management and sustained industry competitiveness.

For instance, in September 2022, The National Association of Minority Mortgage Bankers of America and Enact Holdings, Inc., a major provider of private mortgage insurance via its insurance subsidiaries, announced two new programs to help borrowers achieve the dream of homeownership.

(Source: https://content.enactmi.com/2022-09/NAMMBA%20and%20Enact%20Mortgage%20Insurance%20Launch%20Innovative%20Programs%20to%20Aid%20Lenders%20and%20Borrowers.pdf )

Technological Innovations in Data Analytics to Propel Market Growth

Technological innovations in data analytics are revolutionizing the mortgage insurance market by providing advanced risk assessment tools. With sophisticated analytics, insurers can analyze vast datasets, assess borrower creditworthiness more accurately, and tailor insurance products accordingly. This innovation enhances underwriting processes, improves risk management strategies, and fosters more precise pricing models. As a result, the mortgage insurance industry benefits from increased efficiency, reduced risk exposure, and a more responsive approach to market dynamics, ensuring sustainable growth and stability.

For instance, in June 2021, Prima Solutions announced the avoidance of version 9.19 of its cloud-based medium for life and health, Prima L&H. This new version differs from traditional solutions by covering mortgage, health, and life insurance, all in the same system.

(Source: https://www.prima-solutions.com/en/news/prima-solutions-launches-mortgage-insurance-with-the-new-version-of-prima-lh/ )

Market Restraints of the Mortgage Insurance

Key Drivers for Mortgage Insurance

Increasing Real Estate Prices and Minimal Down Payments: As global housing prices rise, a growing number of buyers—particularly first-time homeowners—are seeking mortgage insurance to obtain loans with lower down payments, thereby enhancing market demand.

Government Assistance and Regulatory Requirements: In various nations, regulatory structures and government-supported housing initiatives render mortgage insurance compulsory for high-LTV loans, thereby increasing its utilization among both lenders and borrowers.

Expansion of Urbanization and Middle-Class Growth: Th...

Evaluate Canada’s best mortgage rates in one place. RATESDOTCA’s Rate Matrix lets you compare pricing for all key mortgage types and terms. Rates are based on an average mortgage of $300,000

We investigate whether homeowners respond strategically to news of mortgage modification programs. We exploit plausibly exogenous variation in modification policy induced by settlement of U.S. state government lawsuits against Countrywide Financial Corporation, which agreed to offer modifications to seriously delinquent borrowers. Using a difference-in-difference framework, we find that Countrywide's monthly delinquency rate increased more than 0.54 percentage points—a ten percent relative increase—immediately after the settlement's announcement. The estimated increase in default rates is largest among borrowers least likely to default otherwise. These results suggest that strategic behavior should be an important consideration in designing mortgage modification programs. (JEL D10, G21, G33, K00)

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]

U.S. construction spending rose by 0.7% in February, surpassing forecasts due to increased single-family homebuilding amid lower mortgage rates. Despite challenges from tariffs, the sector showed resilience with a 2.9% year-on-year growth.