The mortgage credit interest rate is the average interest rate on mortgage loan products offered to individuals and households by the commercial banks in the country. The mortgage credit is a loan used to finance the purchase of real estate. The table shows the latest available data from the national authorities as well as the values from three months ago and one year ago. The data are updated continuously.

Mortgage interest rates worldwide varied greatly in June 2025, from less than ******percent in many European countries to as high as ***percent in Turkey. The average mortgage rate in a country depends on the central bank's base lending rate and macroeconomic indicators such as inflation and forecast economic growth. Since 2022, inflationary pressures have led to rapid increases in mortgage interest rates. Which are the leading mortgage markets? An easy way to estimate the importance of the mortgage sector in each country is by comparing household debt depth, or the ratio of the debt held by households compared to the county's GDP. In 2024, Switzerland, Australia, and Canada had some of the highest household debt to GDP ratios worldwide. While this indicator shows the size of the sector relative to the country’s economy, the value of mortgages outstanding allows to compare the market size in different countries. In Europe, for instance, the United Kingdom, Germany, and France were the largest mortgage markets by outstanding mortgage lending. Mortgage lending trends in the U.S. In the United States, new mortgage lending soared in 2021. This was largely due to the growth of new refinance loans that allow homeowners to renegotiate their mortgage terms and replace their existing loan with a more favorable one. Following the rise in interest rates, the mortgage market cooled, and refinance loans declined.

The table shows the level of mortgage credit extended by banks around the world including the most recent value and recent changes. This is the level of outstanding housing credit at a given point in time. The numbers are in billion local currency units and are updated right after the new data are released by the national authorities. Mortgage credit is by far the main component of household credit which also includes consumer credit. In many countries it exceeds the level of business credit. Greater access to mortgage credit makes it easier for households to buy real estate which is very beneficial but it does not contribute to long-term economic growth. In fact, if its growth is excessive it could lead to banking crises.

Finances are an important part of life. When looking at the people with mortgage in selected countries worldwide, Norway and the Netherlands lead the ranking. ** percent of consumers from Norway as well as ** percent from the Netherlands are part of this category. Statista Consumer Insights offer you all results of our exclusive Statista surveys, based on more than ********* interviews.

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.

The United Kingdom, Germany, and France were the countries with the largest mortgage markets in Europe in 2024, when considering the value of loans outstanding. In the fourth quarter of the year, the UK had nearly two billion euros worth of mortgages outstanding. Other countries with large mortgage markets included the Netherlands, Spain, Sweden, and Italy - all exceeding 400 billion euros. One of the main drivers of mortgage activity is the cost of borrowing. In 2022, interest rates increased dramatically across Europe. Ireland, and Germany remained among the few countries with an average interest rate under four percent.

This dataset provides values for 30 YEAR MORTGAGE RATE reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Spain Housing Market Indicators: Mortgage Lending: Percent of GDP data was reported at 58.310 % in Mar 2017. This records a decrease from the previous number of 59.730 % for Dec 2016. Spain Housing Market Indicators: Mortgage Lending: Percent of GDP data is updated quarterly, averaging 52.430 % from Mar 1989 (Median) to Mar 2017, with 113 observations. The data reached an all-time high of 101.760 % in Dec 2009 and a record low of 14.820 % in Mar 1989. Spain Housing Market Indicators: Mortgage Lending: Percent of GDP data remains active status in CEIC and is reported by Bank of Spain. The data is categorized under Global Database’s Spain – Table ES.EB003: Housing Market Indicators.

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.

Spain Number of Mortgages: Urban Areas: Land Sites data was reported at 590.000 Unit in May 2018. This records an increase from the previous number of 510.000 Unit for Apr 2018. Spain Number of Mortgages: Urban Areas: Land Sites data is updated monthly, averaging 2,566.000 Unit from Jan 2003 (Median) to May 2018, with 185 observations. The data reached an all-time high of 6,905.000 Unit in May 2007 and a record low of 434.000 Unit in Dec 2016. Spain Number of Mortgages: Urban Areas: Land Sites data remains active status in CEIC and is reported by National Statistics Institute. The data is categorized under Global Database’s Spain – Table ES.EB012: Mortgage Statistics.

Spain Number of Mortgages: Urban Areas: Saving Institutions Loans data was reported at 0.000 Unit in May 2018. This stayed constant from the previous number of 0.000 Unit for Apr 2018. Spain Number of Mortgages: Urban Areas: Saving Institutions Loans data is updated monthly, averaging 37,641.000 Unit from Jan 2003 (Median) to May 2018, with 185 observations. The data reached an all-time high of 105,347.000 Unit in Jan 2007 and a record low of 0.000 Unit in May 2018. Spain Number of Mortgages: Urban Areas: Saving Institutions Loans data remains active status in CEIC and is reported by National Statistics Institute. The data is categorized under Global Database’s Spain – Table ES.EB012: Mortgage Statistics.

Freddie Mac was chartered by Congress in 1970 to support the U.S. housing finance system and help ensure a reliable and affordable supply of mortgage funds across the country. 

Rather than lending directly to borrowers, Freddie Mac operates in the U.S. secondary mortgage market, buying loans that meet our standards from approved lenders. 

Those  lenders  are then, in turn, able to provide more loans to qualified borrowers and keep capital flowing into the housing market. Freddie Mac then pools the mortgages it buys into securities, which they sell to investors around the world.

refer to this link to know more about Freddie Mac .

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 15 YEAR MORTGAGE RATE reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Germany, the United Kingdom, and France were the countries with the largest mortgage markets in Europe in 2025, when considering the value of loans outstanding. In the first quarter of the year, Germany had nearly *** billion euros worth of mortgages outstanding. Other countries with large mortgage markets included the Netherlands, Sweden, Spain, and Italy - all exceeding *** billion euros. One of the main drivers of mortgage activity is the cost of borrowing. In 2022, interest rates increased dramatically across Europe. Ireland, and Germany remained among the few countries with an average interest rate under four percent.

Graph and download economic data for Rest of the World; U.S. Mortgage-Backed Securities and Other U.S. Asset-Backed Bonds; Asset, Market Value Levels (BOGZ1LM263063603Q) from Q4 1945 to Q2 2025 about asset-backed, mortgage-backed, market value, bonds, securities, assets, and USA.

The average for 2023 based on 88 countries was 14.12 percent. The highest value was in Zimbabwe: 170.29 percent and the lowest value was in Switzerland: 2.86 percent. The indicator is available from 1960 to 2024. Below is a chart for all countries where data are available.

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 Q3 2025 about domestic offices, delinquencies, 1-unit structures, mortgage, family, residential, commercial, domestic, banks, depository institutions, rate, and USA.

Spain Number of Mortgages: Urban Areas: Bank Loans data was reported at 36,234.000 Unit in May 2018. This records an increase from the previous number of 34,808.000 Unit for Apr 2018. Spain Number of Mortgages: Urban Areas: Bank Loans data is updated monthly, averaging 30,633.000 Unit from Jan 2003 (Median) to May 2018, with 185 observations. The data reached an all-time high of 62,547.000 Unit in Sep 2005 and a record low of 14,576.000 Unit in Aug 2013. Spain Number of Mortgages: Urban Areas: Bank Loans data remains active status in CEIC and is reported by National Statistics Institute. The data is categorized under Global Database’s Spain – Table ES.EB012: Mortgage Statistics.

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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For more datasets, click here.

Featured Notebooks

• 🚨 Your notebook can be here! 🚨!

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.