30 Year Mortgage Rate in the United States decreased to 6.23 percent in November 26 from 6.26 percent in the previous week. This dataset includes a chart with historical data for the United States 30 Year Mortgage Rate.

Fixed 30-year mortgage rates in the United States averaged 6.40 percent in the week ending November 21 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.

Table B.3.1 presents quarterly mortgage rate data specific to the Irish market. These data include all euro and non-euro denominated mortgage lending in the Republic of Ireland only. New business refers to new mortgage lending drawdowns during the quarter, broken down by type of interest rate product (i.e. fixed, tracker and SVR). The data also provide further breakdown of mortgages for principal dwelling house (PDH) and buy-to-let (BTL) properties. Renegotiations of existing loans are not included. .hidden { display: none }

In May 29, 2019, FHFA published its final Monthly Interest Rate Survey (MIRS), due to dwindling participation by financial institutions. MIRS had provided information on a monthly basis on interest rates, loan terms, and house prices by property type (all, new, previously occupied); by loan type (fixed- or adjustable-rate), and by lender type (savings associations, mortgage companies, commercial banks and savings banks); as well as information on 15-year and 30-year, fixed-rate loans. Additionally, MIRS provided quarterly information on conventional loans by major metropolitan area and by Federal Home Loan Bank district, and was used to compile FHFA’s monthly adjustable-rate mortgage index entitled the “National Average Contract Mortgage Rate for the Purchase of Previously Occupied Homes by Combined Lenders,” also known as the ARM Index.

This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...).

Jumbo 30-Year Fixed Mortgage Rates

Zillow Home Value Forecast and Cash Buyer Data

By Zillow Data [source]

About this dataset

This dataset tracks the average jumbo mortgage rate quoted on Zillow Mortgages for a 30-year, fixed-rate, jumbo mortgage in one-hour increments during business hours. It provides insight into changes in the housing market and helps consumers make wiser decisions with their investments. In addition to tracking monthly mortgage rates, our dataset also covers consumer's home types and housing stock, cash buyer data, Zillow Home Value Forecast (ZHVF), negative equity metrics, affordability forecasts for both mortgages and rents as well as historic data including historical ZHVI and household income. With this unique blend of financial and real estate information, users are empowered to make more informed decisions about their investments. The data is updated weekly with the most recent statistics available so that users always have access to up-to-date information

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How to use the dataset

How to Use This Dataset:

• To start exploring this dataset, identify what type of home you are interested in by selecting one of the four categories: “all homes” (Zillow defines all homes as single family, condominiums and coops with a county record); multifamily 5+; duplex/triplex; or condos/coops.
• Understand additional data products that are included such as Zillow Home Value Forecast (ZHVF), Cash Buyers % share, affordability metrics like mortgage affordability or rental affordability and historical ZHVI values along with its median value for particular households or geographies which needs deeper insights into other endogenous variables such detailed information like how many bedrooms a house has etc.

• Choose your geographic region on which you would want to collect more information– regions could include city breakdowns from nationwide level down till specific metropolitan etc . Also use special crosswalks available if needed between federally defined metrics for counties / metro areas combined with Zillow's own ones for greater accuracy when analysing external facors effect on data . To download all datasets at once - click here. .

• Gather more relevant external factors for analysis such as home values forecasts using our published methodology post given url , further to mention TransUnion credit bureau related debt amounts also consider median household incomes vis Bureaus of Labor Cost Indexes ; All these give us greater dimensional insights into market dynamics affecting any particular region finally culminating into deeper research findings when taken together . The reasons behind any fluctions observed can be properly derived as a result .

          Finally make sure that proper attribution is alwys done following mentioned Terms Of Use while downloading since 'All Data Accessed And Downloaded From This Page Is Free For Public Use By Consumers , Media
  

Research Ideas

• Using the Mortgage Rate Data to devise strategies to help persons purchasing jumbo mortgages determine the best time and rates to acquire a loan.
• Analyzing trends in the market by investigating changes in affordability over time by studying rent and mortgage affordability, price-to-income ratios, and historical ZHVIs with cash buyers.
• Comparing different areas of housing markets over diverse geographies using data on all homes, condos/co-ops, multifamily dwellings 5+ units, duplexes/triplexes across various counties or metro areas

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

See the dataset description for more information.

Columns

File: MortgageRateJumboFixed.csv | Column name | Description | |:---------------------------|:---------------------------------------------------------------------------------------------------------------| | Date | The date of the mortgage rate. (Date) | | TimePeriod | The time period of the ...

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.

Content

The Federal Reserve Board has discontinued this series as of October 11, 2016. More information, including possible alternative series, can be found at http://www.federalreserve.gov/feeds/h15.html.

Contract interest rates on commitments for fixed-rate first mortgages. Source: Primary Mortgage Market Survey data provided by Freddie Mac.

Copyright, 2016, Freddie Mac. Reprinted with permission.

Context

This is a dataset from the Federal Reserve hosted by the Federal Reserve Economic Database (FRED). FRED has a data platform found here and they update their information according to the frequency that the data updates. Explore the Federal Reserve using Kaggle and all of the data sources available through the Federal Reserve organization page!

• Update Frequency: This dataset is updated daily.

• Observation Start: 1971-04-01

• Observation End : 2016-09-01

Acknowledgements

This dataset is maintained using FRED's API and Kaggle's API.

Cover photo by Ian Schneider on Unsplash
Unsplash Images are distributed under a unique Unsplash License.

15 Year Mortgage Rate in the United States decreased to 5.51 percent in November 27 from 5.54 percent in the previous week. This dataset includes a chart with historical data for the United States 15 Year Mortgage Rate.

Mortgage rates surged at an unprecedented pace in 2022, with the average 10-year fixed rate doubling between March and December of that year. In response to mounting inflation, the Bank of England implemented a series of rate hikes, pushing borrowing costs steadily higher. By October 2025, the average 10-year fixed mortgage rate stood at **** percent. As financing becomes more expensive, housing demand has cooled, weighing on market sentiment and slowing house price growth. How have the mortgage hikes affected the market? After surging in 2021, the number of residential properties sold fell significantly in 2023, dipping to just above *** million transactions. This contraction in activity also dampened mortgage lending. Between the first quarter of 2023 and the first quarter of 2024, the value of new mortgage loans declined year-on-year for five consecutive quarters. Even as rates eased modestly in 2024 and housing activity picked up slightly, volumes remained well below the highs recorded in 2021. How are higher mortgages impacting homebuyers? For homeowners, the impact is being felt most acutely as fixed-rate deals expire. Mortgage terms in the UK typically range from two to ten years, and many borrowers who locked in historically low rates are now facing significantly higher repayments when refinancing. By the end of 2026, an estimated five million homeowners will see their mortgage deals expire. Roughly two million of these loans are projected to experience a monthly payment increase of up to *** British pounds by 2026, putting additional pressure on household budgets and constraining affordability across the market.

Mortgage Rate in Sweden decreased to 2.80 percent in September from 2.84 percent in August of 2025. This dataset includes a chart with historical data for Sweden Average Interest Rate on New Agreements for Mortgages to Households.

This table contains 102 series, with data starting from 2013, and some select series starting from 2016. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada), Components (51 items: Total, funds advanced, residential mortgages, insured; Variable rate, insured; Fixed rate, insured, less than 1 year; Fixed rate, insured, from 1 to less than 3 years; ...), and Unit of measure (2 items: Dollars; Interest rate). For additional clarification on the component dimension, please visit the OSFI website for the Report on New and Existing Lending.

This dataset was a manual combination of 3 separate datasets

Inflation Rates (Data set was manually manipulated to match the format of the other datasets) https://data.bls.gov/timeseries/CUUR0000SA0?years_option=all_years

Feds Funds Rate https://fred.stlouisfed.org/series/FEDFUNDS#

Monthly Mortgage Rate https://fred.stlouisfed.org/series/MORTGAGE30US

Additional Data Manipulation: Both the monthly feds fund rate and the monthly mortgage rate is an annualized rate. I created annualized inflation rate based on a 12 month lag. To find the inflation rate for a give month, the formula used was (current month CPI - 12-months prior CPI / 12-months prior CPI)

Historical Prime Rates and Related Significant Events 1956-Present

Understanding Lending and Economic Trends

By Brandon Gadoci [source]

About this dataset

This dataset looks back at the history of lending rates from 1956 to present and investigates the effects of significant historical events on prime lending rate. The data, which was sourced from trusted sources, provides an insight into how major political and economic developments have influenced the cost of borrowing in different countries. By examining which events had an impact on interest rates and by how much, this dataset could prove invaluable for researchers looking to understand historical financial trends or for investors trying to understand past market behaviour. Take a step back in time with this comprehensive collection of lending data – it could be the key to unlocking greater insights into our financial history!

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How to use the dataset

This dataset contains historical prime rates from 1956 to present, as well as significant events that may have affected the prime lending rate. With this data, you can analyze changes in the average majority prime rate charged by banks and any events that may have contributed to this change.

To get started with this dataset, you'll want to make sure you understand the columns it contains: Year: This is the year of the data point. (Integer)
Average Majority Prime Rate Charged By Banks: This is average prime rate charged by banks in the majority of he year for a given time period. (Float)
Significant Events: Significant events that may have impacted or shifted the Prime Lending Rate during a certain period or throughout history. (String)

You can then use this information to begin exploring and comparing periods where there were drastic shifts inside of one year within this data set as it provides an overall view intoprime lending during these different times periods along with what plausible external or internal factors could’ve caused them. To do so, you can use descriptive statistics such a means and medians, along with graphing tools such as line charts and scatter plots to observe any correlations between fluctuations inPrime Lending Rates and Significant Events taking place concurrently at different points in time throughout history over six decades §§ when both economic states seem prosperous or abysmal for comparison purposes so we can identify driving forces behind certain trends inside our data set

Research Ideas

• Create a timeline visualization of major prime rate events in the US to show the influence of various political and economic factors on interest rates.
• Superimpose this data over monthly trends of mortgage and auto loan interest rates to illustrate the impact that movements in the prime lending rate have on consumer borrowing.
• Determine which banks currently offer loans with the lowest prime rates, by tracking historic trends against current market conditions for lenders

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original. - Keep intact - all notices that refer to this license, including copyright notices.

Columns

File: historical_prime rate.csv | Column name | Description | |:-------------------------------------------------|:---------------------------------------------------------------------------| | Year | Year of the average majority prime rate charged by banks. (Integer) | | Average majority prime rate charged by banks | The average majority prime rate charged by banks in a given year. (Float) | | Significant Events | Significant events that may have had an effect on the prime rate. (String) |

Acknowledgements

If you use this dataset in your research, please cr...

Source: From lending institutions and local authorities
The loan payments dataset stops in 2007.
The figures on fixed interest rate mortgages relate to mortgages which provide that the rate of interest may not be changed, or may only be changed at intervals of not less than one year.
The most current data is published on these sheets. Previously published data may be subject to revision. Any change from the originally published data will be highlighted by a comment on the cell in question. These comments will be maintained for at least a year after the date of the value change.

UK Mortgage Rates

Mortgage products in the united kingdom

By Jeff [source]

About this dataset

This dataset contains information on thousands of mortgage products available in the UK, including the interest rate, APR, revert rate, fees, and initial rate period. This data can be used to compare different mortgage products and find the best deal for your needs

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How to use the dataset

This dataset contains information on thousands of mortgage products available in the UK, including the interest rate, APR, revert rate, fees, and initial rate period.

To use this dataset, simply download it and then import it into your favorite spreadsheet program. You can then use the data to compare mortgage rates across different products and banks.

This dataset can be used to help you: - Compare mortgage rates from different banks - Find the best mortgage product for your needs - Understand how fees and other charges affect the overall cost of a mortgage

Research Ideas

• Analysing the different mortgage products available on the market
• Benchmarking against other products in order to get a competitive rate
• Finding products that have low fees and revert rates

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

See the dataset description for more information.

Columns

File: UK_Mortgage_Rate.csv | Column name | Description | |:----------------------------|:----------------------------------------------------------------| | SKU | The product's SKU. (String) | | BANK_NAME | The name of the bank that offers the mortgage product. (String) | | MTG_PRODUCT_SUBTITLE | The subtitle of the mortgage product. (String) | | MTG_PRODUCT_TYPE_RAW | The raw product type of the mortgage product. (String) | | MTG_PRODUCT_YEARS | The number of years of the mortgage product. (Integer) | | MTG_INITIAL_RATE_PCT | The initial rate percentage of the mortgage product. (Float) | | MTG_APR_PCT | The APR percentage of the mortgage product. (Float) | | MTG_REVERT_RATE | The revert rate of the mortgage product. (Float) | | MTG_FEES_TOTAL | The total fees of the mortgage product. (Float) | | MTG_INITIAL_RATE_MONTHS | The initial rate months of the mortgage product. (Integer) | | SCAN_DATE | The date that the mortgage product was scanned. (Date) |

Acknowledgements

If you use this dataset in your research, please credit the original authors. If you use this dataset in your research, please credit Jeff.

Interest rates to be paid on debentures issued with respect to a loan or mortgage insured by the Federal Housing Commissioner under the provisions of the National Housing Act (the Act). The Department will continue to publish semi-annually the debenture interest rate for the next six-month period in the Federal Register. Concurrently with the publication in the Federal Register, the Department will update the list of debenture interest rates.

Forecast: Household Expenditure on Mortgage Interest and Charges in the US 2022 - 2026 Discover more data with ReportLinker!

The International Bank for Reconstruction and Development (IBRD) loans are public and publicly guaranteed debt extended by the World Bank Group. IBRD loans are made to, or guaranteed by, countries that are members of IBRD. IBRD may also make loans to IFC. IBRD lends at market rates. Data are in U.S. dollars calculated using historical rates. This dataset contains the latest available snapshot of the Statement of Loans. The World Bank complies with all sanctions applicable to World Bank transactions.

Context

The Federal Reserve sets interest rates to promote conditions that achieve the mandate set by the Congress — high employment, low and stable inflation, sustainable economic growth, and moderate long-term interest rates. Interest rates set by the Fed directly influence the cost of borrowing money. Lower interest rates encourage more people to obtain a mortgage for a new home or to borrow money for an automobile or for home improvement. Lower rates encourage businesses to borrow funds to invest in expansion such as purchasing new equipment, updating plants, or hiring more workers. Higher interest rates restrain such borrowing by consumers and businesses.

Content

This dataset includes data on the economic conditions in the United States on a monthly basis since 1954. The federal funds rate is the interest rate at which depository institutions trade federal funds (balances held at Federal Reserve Banks) with each other overnight. The rate that the borrowing institution pays to the lending institution is determined between the two banks; the weighted average rate for all of these types of negotiations is called the effective federal funds rate. The effective federal funds rate is determined by the market but is influenced by the Federal Reserve through open market operations to reach the federal funds rate target. The Federal Open Market Committee (FOMC) meets eight times a year to determine the federal funds target rate; the target rate transitioned to a target range with an upper and lower limit in December 2008. The real gross domestic product is calculated as the seasonally adjusted quarterly rate of change in the gross domestic product based on chained 2009 dollars. The unemployment rate represents the number of unemployed as a seasonally adjusted percentage of the labor force. The inflation rate reflects the monthly change in the Consumer Price Index of products excluding food and energy.

Acknowledgements

The interest rate data was published by the Federal Reserve Bank of St. Louis' economic data portal. The gross domestic product data was provided by the US Bureau of Economic Analysis; the unemployment and consumer price index data was provided by the US Bureau of Labor Statistics.

Inspiration

How does economic growth, unemployment, and inflation impact the Federal Reserve's interest rates decisions? How has the interest rate policy changed over time? Can you predict the Federal Reserve's next decision? Will the target range set in March 2017 be increased, decreased, or remain the same?