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.

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

Among the factors that influence mortgage interest rates are inflation, economic growth, monetary policies, the bond market, lenders' stability, and the housing market's overall conditions. The mortgage interest rate in Romania fluctuated during the period under observation, with an upward trend from the second quarter of 2017 onwards. The first quarter of 2023 reached the highest value recorded — **** percent; by the fourth quarter of 2024, it dropped to **** percent.

Prices for Canada 5Y including live quotes, historical charts and news. Canada 5Y was last updated by Trading Economics this September 2 of 2025.

The mortgage interest rate in Germany decreased notably between 2013 and 2022, falling below *** percent. This was part of an overall trend of falling mortgage interest rates in Europe. The mortgage interest rate in Germany has since increased to *** percent in the fourth quarter of 2024. The German mortgage market In Europe, Germany is the second-largest mortgage market, with a total value of mortgages outstanding amounting to nearly *** trillion euros. Mortgage loans are one of the oldest bank products. Among the factors that influence mortgage interest rates are inflation, economic growth, monetary policies, the bond market, the stability of lenders, and the overall conditions of the housing market. Mortgage loans The higher cost of borrowing has a significant effect on the market: While the interest rates were at their lowest, mortgage lending was on the rise. In 2023, when the rates reached a 10-year-high, the quarterly gross mortgage lending fell to the lowest value since 2014. Meanwhile, house prices have also increased substantially in recent years. According to the House Price Index in Germany, between 2015 and 2024, house prices increased by nearly ** percent.

Graph and download economic data for 15-Year Fixed Rate Mortgage Average in the United States (MORTGAGE15US) from 1991-08-30 to 2025-08-28 about 15-year, mortgage, fixed, interest rate, interest, rate, and USA.

The basic information on mortgage loan products is data that allows you to check the properties, dividend payment information, and credit rating status of each mortgage-backed security (MBS). The data consists of the following three operations. ① Search for basic product information: Function to check product name, issuance date, interest rate classification, coupon rate, maturity date, bond type, etc. based on the issuance number and product number. ② Search for dividend and interest payment information: Function to search for payment frequency, payment date, principal payment amount, interest payment amount, and total payment amount based on the issuance number and product number. ③ Search for credit rating information: Function to search for rating agencies, credit ratings, and rating evaluation dates based on the base date, issuance number, and product number.

Among the factors that influence mortgage interest rates are inflation, economic growth, monetary policies, the bond market, the stability of lenders, and the overall conditions of the housing market. It can be seen that the mortgage interest rate in Hungary decreased overall with some fluctuation until the last quarter of 2021. Following an increase, it reached a value of **** percent as of the second quarter of 2023. This was part of an overall trend of increasing mortgage interest rates in Europe.

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

Spain Mortgage Reference Lending Rate: Domestic Govt Bonds: 3 to 6 Years data was reported at 0.354 % pa in Oct 2018. This records an increase from the previous number of 0.344 % pa for Sep 2018. Spain Mortgage Reference Lending Rate: Domestic Govt Bonds: 3 to 6 Years data is updated monthly, averaging 4.409 % pa from Jan 1984 (Median) to Oct 2018, with 418 observations. The data reached an all-time high of 15.660 % pa in Jun 1984 and a record low of 0.180 % pa in Sep 2017. Spain Mortgage Reference Lending Rate: Domestic Govt Bonds: 3 to 6 Years data remains active status in CEIC and is reported by Bank of Spain. The data is categorized under Global Database’s Spain – Table ES.M009: Mortgage Rate.

Graph and download economic data for Credit Unions; Corporate and Foreign Bonds, Excluding Mortgage-Backed Securities and Other Asset-Backed Bonds; Asset, Transactions (BOGZ1FA473063095Q) from Q4 1946 to Q1 2025 about credit unions, asset-backed, mortgage-backed, foreign, transactions, bonds, securities, assets, depository institutions, and USA.

Graph and download economic data for Treasury and Agency Securities: Mortgage-Backed Securities (MBS), All Commercial Banks (TMBACBW027SBOG) from 2009-07-01 to 2025-08-20 about mortgage-backed, agency, Treasury, securities, banks, depository institutions, 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.

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

Key information about New Zealand Long Term Interest Rate

• New Zealand Government Bond Yield: 10 Years was reported at 4.58 % pa in Feb 2025, compared with 4.55 % pa in the previous month.
• New Zealand Long Term Interest Rate data is updated monthly, available from Jan 1985 to Feb 2025.
• The data reached an all-time high of 18.90 % pa in Mar 1986 and a record low of 0.46 % pa in Sep 2020.
• Long Term Interest Rate is reported by reported by Reserve Bank of New Zealand.

CEIC calculates monthly Long Term Interest Rate from daily 10 year Government Bond Yield. The Reserve Bank of New Zealand provides 10 year Treasury Bond Yield. Long Term Interest Rate prior to March 1985 is sourced directly from Reserve Bank of New Zealand.. The ten-year benchmark for New Zealand Government bonds with a fixed interest coupon paid semi-annually in arrears. The bonds are redeemable at par on maturity.


Related information about New Zealand Long Term Interest Rate

• In the latest reports, New Zealand Short Term Interest Rate: Month End: New Zealand: Bank Accepted Bills: 90 Days was reported at 5.71 % pa in Jun 2023.
• The cash rate (Policy Rate: Month End: New Zealand: Official Cash Rate) was set at 5.50 % pa in Jun 2023.
• New Zealand Exchange Rate against USD averaged 1.63 (USD/NZD) in Jun 2023.

Graph and download economic data for Delinquency Rate on Single-Family Residential Mortgages, Booked in Domestic Offices, All Commercial Banks (DRSFRMACBS) from Q1 1991 to Q2 2025 about domestic offices, delinquencies, 1-unit structures, mortgage, family, residential, commercial, domestic, banks, depository institutions, rate, and USA.

Key information about Canada Long Term Interest Rate

• Canada Government Benchmark Bonds Yield: Month End: 10 Years was reported at 2.90 % pa in Feb 2025, compared with 3.07 % pa in the previous month.
• Canada Long Term Interest Rate data is updated monthly, available from Jan 1993 to Feb 2025.
• The data reached an all-time high of 9.28 % pa in Jun 1994 and a record low of 0.46 % pa in Jul 2020.
• Long Term Interest Rate is reported by reported by Bank of Canada.

Government Benchmark Bond are rates based on actual mid-market closing yields of selected Canada bond issues that mature approximately in the indicated term areas.


Related information about Canada Long Term Interest Rate

• In the latest reports, Canada Short Term Interest Rate: Month End: Treasury Bills Yield: 3 Months was reported at 2.82 % pa in Feb 2025.
• The cash rate (Policy Rate: Month End: Overnight Target Rate) was set at 3.00 % pa in Feb 2025.
• Canada Exchange Rate against USD averaged 1.33 (USD/CAD) in Jun 2023.

This statistic shows the yield on ten-year government bonds in the Netherlands from 2011 to 2023 with a forecast for 2024 and 2025. In 2023, the long-term interest rate was at *** percent. A ten-year government bond, or treasury note, is a debt obligation issued by a government which matures in ten years. They are considered to be a low-risk investment as they are backed by the government and their ability to raise taxes to cover its obligations. Investors track them, however, for several reasons. First, these bonds are the benchmark that guides other financial interest rates, such as fixed mortgage rates. Second, their yield will tell how investors feel about the economy. The higher the yield on a ten-year government bond, the better the economic outlook.

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

Graph and download economic data for Government-Sponsored Enterprises; Mortgage-Backed Securities and Other Asset-Backed Bonds Held by Farm Credit System; Asset, Transactions (BOGZ1FA403063643A) from 1946 to 2024 about GSE, asset-backed, mortgage-backed, agriculture, credits, transactions, bonds, securities, assets, and USA.

An index that can be used to gauge broad financial conditions and assess how these conditions are related to future economic growth. The index is broadly consistent with how the FRB/US model generally relates key financial variables to economic activity. The index aggregates changes in seven financial variables: the federal funds rate, the 10-year Treasury yield, the 30-year fixed mortgage rate, the triple-B corporate bond yield, the Dow Jones total stock market index, the Zillow house price index, and the nominal broad dollar index using weights implied by the FRB/US model and other models in use at the Federal Reserve Board. These models relate households' spending and businesses' investment decisions to changes in short- and long-term interest rates, house and equity prices, and the exchange value of the dollar, among other factors. These financial variables are weighted using impulse response coefficients (dynamic multipliers) that quantify the cumulative effects of unanticipated permanent changes in each financial variable on real gross domestic product (GDP) growth over the subsequent year. The resulting index is named Financial Conditions Impulse on Growth (FCI-G). One appealing feature of the FCI-G is that its movements can be used to measure whether financial conditions have tightened or loosened, to summarize how changes in financial conditions are associated with real GDP growth over the following year, or both.