Average Mortgage Size in the United States increased to 381.40 Thousand USD in October from 379.11 Thousand USD in September of 2025. This dataset includes a chart with historical data for the United States Average Mortgage Size.

Since 2012, the average amount of a home purchase loan in the United States has increased substantially. In December 2024, the average mortgage loan amounted to ******* U.S. dollars, up from ******* in 2012. Over the last years, house prices grew rapidly. For homebuyers, that also meant an increase in the amount they had to save for a down payment.

The average mortgage payment in the large and mid-sized cities in Canada ranged between 1,300 Canadian dollars and 2,600 Canadian dollars. In the fourth quarter of the year, Vancouver topped the ranking, with homebuyers paying, on average, ***** Canadian dollars monthly. In Toronto, the average monthly scheduled mortgage payment was ***** Canadian dollars. Canada’s housing market House prices in Canada vary widely across the country. In 2023, the average sales price of detached single-family homes in Vancouver was nearly three times as expensive as the national average. Vancouver is undoubtedly considered the least affordable housing market: In 2023, the cost of buying a home with a **-year mortgage in Canada was approximately ** percent of the median household income, whereas in Vancouver, it was nearly *** percent. Development of house prices The development of house prices depends on multiple factors, such as availability on the market and demand. Since 2005, house prices in Canada have been continuously growing. According to the MSL composite house price index, 2021 measured the highest house price increase.

Average mortgage loan amounts by year from 2018-2024 showing the annual average loan size for U.S. home buyers across all loan types including conventional, FHA, VA, and USDA mortgages

United States Home Mortgage: Average Term to Maturity data was reported at 28.700 Year in Jun 2018. This stayed constant from the previous number of 28.700 Year for May 2018. United States Home Mortgage: Average Term to Maturity data is updated monthly, averaging 27.361 Year from Jan 1973 (Median) to Jun 2018, with 546 observations. The data reached an all-time high of 29.600 Year in Jun 2007 and a record low of 22.800 Year in Dec 1973. United States Home Mortgage: Average Term to Maturity data remains active status in CEIC and is reported by Federal Housing Finance Agency. The data is categorized under Global Database’s USA – Table US.KA019: Home Mortgage Terms.

Graph and download economic data for Mortgage Debt Service Payments as a Percent of Disposable Personal Income (MDSP) from Q1 1980 to Q2 2025 about disposable, payments, mortgage, personal income, debt, percent, personal, income, services, and USA.

In 2022, Salt Lake City, Utah, had the least affordable housing among the top ten metros with the highest share of Gen Z home buyers in the United States. The average requested mortgage loan amount by Gen Zers was ******* U.S. dollars. Between ** and ** percent of mortgage applications in the metros included in this statistic came from Gen Z home buyers. While house prices do in fact influence Gen Zers' choice, Salt Lake City, UT, had both the largest share of Gen Z mortgage requests and the highest loan amount.

Average mortgage loan amounts by loan type for U.S. home buyers in 2024, showing loan size variations across different loan types including conventional, FHA, VA, and USDA mortgages

Average mortgage loan amounts by gender for U.S. home buyers in 2024

Graph and download economic data for 15-Year Fixed Rate Mortgage Average in the United States (MORTGAGE15US) from 1991-08-30 to 2025-11-26 about 15-year, mortgage, fixed, interest rate, interest, rate, and USA.

Housing affordability in the UK has worsened notably since 2020, with the share of income spent on mortgage payments rising for first-time and repeat buyers. In 2024, homebuyers spent, on average, 20.5 percent of their income on mortgage payments, up from 16.2 percent in 2020. First-time buyers spent a notably higher percentage than repeat buyers. One of the main factors for the declining affordability is the rising housing costs. House prices have increased rapidly since the COVID-19 pandemic. Mortgage rates have also soared since, leading to notably higher monthly payments.

The average value of mortgage loans granted in the UK since 2016 ranged between ******* British pounds and ******* British pounds. In the third quarter of 2024, the average mortgage loan amounted to nearly ******* British pounds - the second-highest figure on record after the third quarter of 2022. The overall increase in the average value of mortgages granted can be explained by the accelerated increase in house prices since the outbreak of the coronavirus (COVID-19) pandemic.

United States Home Mortgage: Average Purchase Price data was reported at 439.300 USD th in Jun 2018. This records an increase from the previous number of 424.200 USD th for May 2018. United States Home Mortgage: Average Purchase Price data is updated monthly, averaging 149.250 USD th from Jan 1973 (Median) to Jun 2018, with 546 observations. The data reached an all-time high of 439.300 USD th in Jun 2018 and a record low of 31.100 USD th in Feb 1973. United States Home Mortgage: Average Purchase Price data remains active status in CEIC and is reported by Federal Housing Finance Agency. The data is categorized under Global Database’s USA – Table US.KA019: Home Mortgage Terms.

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.

View weekly updates and historical trends for 30 Year Mortgage Rate. from United States. Source: Freddie Mac. Track economic data with YCharts analytics.

United States Home Mortgage: Loan-to-Price Ratio data was reported at 78.400 % in Oct 2018. This records an increase from the previous number of 78.000 % for Sep 2018. United States Home Mortgage: Loan-to-Price Ratio data is updated monthly, averaging 75.800 % from Jan 1973 (Median) to Oct 2018, with 550 observations. The data reached an all-time high of 80.800 % in Dec 1994 and a record low of 68.640 % in May 1982. United States Home Mortgage: Loan-to-Price Ratio data remains active status in CEIC and is reported by Federal Housing Finance Agency. The data is categorized under Global Database’s United States – Table US.KB011: Home Mortgage Terms.

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 ...

Average mortgage origination fees by race for U.S. home buyers in 2024, showing fee percentages across different racial and ethnic groups from Asian to American Indian or Alaska Native borrowers

The average cost of buying a property with a mortgage in Camden, London, was about ***** as high as in Croydon in June 2024. Despite experiencing one of the highest declines in property prices in the past year, Kensington and Chelsea remained the most expensive borough for residential real estate. The average cost of buying a new residential dwelling with a mortgage is usually higher than the original asking price. The amount of the down payment, interest payments placed on the repayment of the loan, and other added costs can amount to thousands of British pounds. Property prices in other cities in the UK Cambridge, Oxford, and Bristol were some of the other cities with costly housing markets. Despite the slowdown in the residential sector, many of the major cities in the UK continued to see house prices increase in 2023. Though the housing boom witnessed during the pandemic has come to an end, prices show little volatility, due to the high demand and chronic shortage of affordable housing. To buy or to rent? Buying has long been the better option for those who can afford it. Homebuyers can achieve monthly savings of several hundred British pounds, depending on the region. Nevertheless, the soaring mortgage rates and house prices in recent years have led to a narrowing gap between purchase and rental costs.

Negative Equity in U.S. Housing Market

Measuring Home Values, Debt, and Credit Risk

By Zillow Data [source]

About this dataset

This dataset, Negative Equity in the US Housing Market, provides an in-depth look into the negative equity occurring across the United States during this single quarter. Included are metrics such as total amount of negative equity in millions of dollars, total number of homes in negative equity, percentage of homes with mortgages that are in negative equity and more. These data points provide helpful insights into both regional and national trends regarding the prevalence and rate of home mortgage delinquency stemming from a diminishment of value from peak levels.

Home types available for analysis include 'all homes', condos/co-ops, multifamily units containing five or more housing units as well as duplexes/triplexes. Additionally, Cash buyers rates for particular areas can also be determined by referencing this collection. Further metrics such as mortgage affordability rates and impacts on overall indebtedness are readily calculated using information related to Zillow's Home Value Index (ZHVI) forecast methodology and TransUnion data respectively.

Other variables featured within this dataset include characteristics like region type (i.e city, county ..etc), size rank based on population values , percentage change in ZHVI since peak levels as well as loan-to-value ratio greater than 200 across all regions constituted herein (NE). Moreover Zillow's own Secondary Mortgage Market Survey data is utilized to acquire average mortgage quote rates while correlative Census Bureau NCHS median household income figures represent typical assessable proportions between wages and debt obligations . So whether you're looking to assess effects along metro lines or detailed buffering through zip codes , this database should prove sufficient for insightful explorations! Nonetheless users must strictly adhere to all conditions encompassed within Terms Of Use commitments put forth by our lead provider before accessing any resources included herewith

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Research Ideas

• Analyzing regional and state trends in negative equity: Analyze geographic differences in the percentage of mortgages “underwater”, total amount of negative equity, number of homes at least 90 days late, and other key indicators to provide insight into the factors influencing negative equity across regions, states and cities.
• Tracking the recovery rate over time: Track short-term changes in numbers related to negative equity (e.g., region or area ZHVI Change from Peak) to monitor recovery rates over time as well as how different policy interventions are affecting homeownership levels in affected areas.
• Exploring best practices for promoting housing affordability: Compare affordability metrics (e.g., mortgage payments, price-to-income ratios) across different geographic locations over time to identify best practices for empowering homeowners and promoting stability within the housing market while reducing local inequality impacts related to availability of affordable housing options and access to credit markets like mortgages/loans etc

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: NESummary_2017Q1_Public.csv | Column name | Description | |:------------------------------------------------|:-----------------------------------------------------------------------------------------------------------------------------------| | RegionType | The type of region (e.g., city, county, metro etc.) (String) | | City | Name of the city (String) | | County | Name of the county (String) | | State | Name of the state (String) | | Metro ...