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 6.64 percent in the week ending August 29 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 decreased by 1.20 percent in the week ending August 29 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.

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 API is providing the residential mortgage survey results.

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

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.

Mortgage Rate in the United Kingdom decreased to 6.86 percent in August from 6.95 percent in July of 2025. This dataset provides - United Kingdom BBA Mortgage Rate- actual values, historical data, forecast, chart, statistics, economic calendar and news.

The 10 largest mortgage lenders in the United Kingdom accounted for approximately 83 percent of the total market, with the top three alone accounting for 48 percent in 2024. Lloyds Banking Group had the largest market share of gross mortgage lending, with nearly 47 billion British pounds in lending in 2024. HSBC, which is the largest UK bank by total assets, ranked fifth. Development of the mortgage market In 2024, the value of outstanding in mortgage lending to individuals amounted to 1.6 trillion British pounds. Although this figure has continuously increased in the past, the UK mortgage market declined dramatically in 2024, registering the lowest value of mortgage lending since 2015. In 2020, the COVID-19 pandemic caused the market to contract for the first time since 2012. The next two years saw mortgage lending soar due to pent-up demand, but as interest rates soared, the housing market cooled, leading to a decrease in new loans of about 100 billion British pounds. The end of low interest rates In 2021, mortgage rates saw some of their lowest levels since recording began by the Bank of England. For a long time, this was particularly good news for first-time homebuyers and those remortgaging their property. Nevertheless, due to the rising inflation, mortgage rates started to rise in the second half of the year, resulting in the 10-year rate doubling in 2022.

Lending Rate in China remained unchanged at 4.35 percent in October from 4.35 percent in September of 2022. This dataset provides - China Prime Lending Rate- actual values, historical data, forecast, chart, statistics, economic calendar and news.

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.

Lending Rate in Sweden remained unchanged at 2.10 percent in August. This dataset provides - Sweden Lending Rate- actual values, historical data, forecast, chart, statistics, economic calendar and news.

This API is providing the residential mortgage loans in negative equity.

Bank Lending Rate in Denmark remained unchanged at 1.75 percent in July. This dataset provides - Denmark Bank Lending Rate- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Mortgage Approvals in the United Kingdom increased to 65.35 Thousand in July from 64.57 Thousand in June 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.

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...

Spain Credit Inst: Effective Lending Rate: New Business: Synthetic Rate data was reported at 3.950 % pa in Mar 2025. This records a decrease from the previous number of 4.193 % pa for Feb 2025. Spain Credit Inst: Effective Lending Rate: New Business: Synthetic Rate data is updated monthly, averaging 3.868 % pa from Jan 2003 (Median) to Mar 2025, with 267 observations. The data reached an all-time high of 6.565 % pa in Sep 2008 and a record low of 1.674 % pa in Dec 2021. Spain Credit Inst: Effective Lending Rate: New Business: Synthetic Rate data remains active status in CEIC and is reported by Banco de España. The data is categorized under Global Database’s Spain – Table ES.M008: Synthetic Rate: News Business: Lending and Deposit Rates.

This API is providing the credit card lending survey results.

Spain Credit Inst: Effective Lending Rate: New Business: Synthetic Rate: Households and HPISH data was reported at 3.301 % pa in Sep 2018. This records a decrease from the previous number of 3.400 % pa for Aug 2018. Spain Credit Inst: Effective Lending Rate: New Business: Synthetic Rate: Households and HPISH data is updated monthly, averaging 4.188 % pa from Jan 2003 (Median) to Sep 2018, with 189 observations. The data reached an all-time high of 7.066 % pa in Aug 2008 and a record low of 3.031 % pa in Dec 2017. Spain Credit Inst: Effective Lending Rate: New Business: Synthetic Rate: Households and HPISH data remains active status in CEIC and is reported by Bank of Spain. The data is categorized under Global Database’s Spain – Table ES.M010: Synthetic Rate: News Business: Lending and Deposit Rates.