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.

This statistic presents the average monthly payments on mortgages in selected countries in Europe as of **********. In that time, the monthly repayment in Cyprus reached over ***** euros, while Ireland was ranked second highest (from countries analysed), with ***** euros monthly in housing loans repayments.

Graph and download economic data for Mortgage Debt Service Payments as a Percent of Disposable Personal Income (MDSP) from Q1 1980 to Q4 2024 about disposable, payments, mortgage, debt, personal income, percent, personal, services, income, and USA.

Type of Mortgage Loan:Conventional Mortgage Loans: Backed by private investors and typically require a down payment of 20% or more.Jumbo Loans: Loans that exceed the conforming loan limits set by Fannie Mae and Freddie Mac.Government-insured Mortgage Loans: Backed by the Federal Housing Administration (FHA), Department of Veterans Affairs (VA), or U.S. Department of Agriculture (USDA).Others: Includes non-QM loans, reverse mortgages, and shared equity programs.Mortgage Loan Terms:30-year Mortgage: The most common term, offering low monthly payments but higher overall interest costs.20-year Mortgage: Offers a shorter repayment period and lower long-term interest costs.15-year Mortgage: The shortest term, providing lower interest rates and faster equity accumulation.Others: Includes adjustable-rate mortgages (ARMs) and balloons loans.Interest Rate:Fixed-rate Mortgage Loan: Offers a stable interest rate over the life of the loan.Adjustable-rate Mortgage Loan (ARM): Offers an initial interest rate that may vary after a certain period, potentially leading to higher or lower monthly payments.Provider:Primary Mortgage Lender: Originates and services mortgages directly to borrowers.Secondary Mortgage Lender: Purchases mortgages from originators and packages them into securities for sale to investors. Key drivers for this market are: Digital platforms and AI-driven credit assessments have simplified the application process, improving accessibility and borrower experience. Potential restraints include: Fluctuations in interest rates significantly impact borrowing costs, affecting loan demand and affordability. Notable trends are: The adoption of online portals and mobile apps is transforming the mortgage process with faster approvals and greater transparency.

In 2006, the average monthly shelter cost for renter households was $728 and for owner households it was $998. For owners without a mortgage it was lower at $455 and for owners with a mortgage it was higher at $1393. Shelter costs are the average monthly total of all shelter expenses paid by households to secure shelter. Shelter costs for owners may include the mortgage payment, property taxes, condominium fees and the costs of electricity, heat and municipal services. Shelter costs for renters may include rent and the costs of electricity, heat and municipal services. The map shows by census division the average owner’s major (monthly) payments on shelter costs for households with a mortgage.

In 2023, the average monthly repayments of loans for the purchase of houses and land of working households in Japan amounted to around **** thousand Japanese yen. The average monthly loan repayments for purchases on credit increased to ** thousand yen a month per household.

Copyright, 2016, National Association of Realtors. Reprinted with permission. Per the agreement with the source, data in FRED are available for the prior 13 months.

Measures the degree to which a typical family can afford the monthly mortgage payments on a typical home.

Value of 100 means that a family with the median income has exactly enough income to qualify for a mortgage on a median-priced home. An index above 100 signifies that family earning the median income has more than enough income to qualify for a mortgage loan on a median-priced home, assuming a 20 percent down payment. This index is calculated for fixed mortgages.

This quarterly housing data provides you with average monthly payments for new mortgage loans. You can compare the average mortgage repayments made in Canada, the provinces and select Census Metropolitan Areas (CMAs). Note: Quarterly data ranges from 2012 Q3 to 2023.

In 2023, the average monthly home loan repayments of working households with housing loan debt in Japan amounted to around 93.5 thousand Japanese yen. This represented an increase from 92 thousand yen of monthly mortgage repayments per household in 2022.

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.

30 Year Mortgage Rate in the United States increased to 6.75 percent in July 17 from 6.72 percent in the previous week. This dataset includes a chart with historical data for the United States 30 Year Mortgage Rate.

Private Mortgage Insurance Market Outlook

The global private mortgage insurance market size is projected to grow significantly from approximately USD 6.1 billion in 2023 to an estimated USD 12.4 billion by 2032, exhibiting a compound annual growth rate (CAGR) of 7.9% during the forecast period. This growth is primarily driven by the robust expansion of the housing market and the increasing need for risk mitigation solutions among lenders and borrowers alike.

One of the primary growth factors for the private mortgage insurance market is the rising demand for housing loans. As homeownership continues to be a significant aspiration for many individuals globally, the need for mortgage loans is consequently increasing. Private mortgage insurance serves as a vital tool for lenders to manage the risks associated with lending to borrowers who may not have substantial down payments. This insurance ensures that lenders are protected in the event of borrower default, thereby facilitating more home loan approvals and fostering market growth.

Another significant factor contributing to the market's expansion is the regulatory landscape favoring the adoption of private mortgage insurance. Various governments and regulatory bodies have established guidelines and mandates to ensure that lenders follow prudent risk management practices. These regulations often necessitate the procurement of private mortgage insurance for high-risk loans, further driving the demand for these insurance products. Additionally, tax incentives and other financial benefits associated with private mortgage insurance make it a more attractive option for borrowers, feeding into the overall market growth.

The digital transformation within the financial services sector is also playing a crucial role in accelerating the private mortgage insurance market. The advent of online platforms and fintech innovations has revolutionized the way mortgage insurance is marketed and sold. Digital channels offer greater convenience, efficiency, and accessibility for both lenders and borrowers, allowing for seamless transactions and quicker approvals. This digitization trend is expected to continue, thereby bolstering market growth throughout the forecast period.

Regionally, North America holds a dominant position in the private mortgage insurance market, driven by high homeownership rates and a well-established mortgage infrastructure. Europe follows closely, supported by a strong real estate market and favorable regulatory frameworks. Meanwhile, the Asia Pacific region is expected to witness the fastest growth, attributed to rapid urbanization, increasing disposable incomes, and government initiatives promoting homeownership. Latin America and the Middle East & Africa are also expected to demonstrate substantial growth, albeit at a relatively slower pace, due to ongoing economic development and improving financial inclusion.

Type Analysis

The private mortgage insurance market can be segmented by type into borrower-paid, lender-paid, single premium, and split premium. Borrower-paid mortgage insurance is the most prevalent type, wherein the borrower is responsible for paying the insurance premium. This type offers flexibility and ease of understanding for the borrower since the premium is typically included in the monthly mortgage payments. The borrower-paid segment is expected to continue dominating the market due to its widespread acceptance and straightforward implementation.

Lender-paid mortgage insurance, on the other hand, shifts the responsibility of the premium payment to the lender. In this arrangement, the lender pays the insurance premium and usually recoups the cost through a higher interest rate on the mortgage. Although this type may result in a higher overall loan cost for the borrower, it eliminates the need for separate monthly insurance payments, making the mortgage process simpler for some borrowers. This segment is growing steadily, particularly among borrowers who prefer streamlined financial commitments.

Single premium mortgage insurance involves a one-time upfront payment of the entire insurance premium at the time of loan closing. This type is beneficial for borrowers who have the necessary funds available and wish to avoid ongoing monthly payments. While the single premium option can be cost-effective in the long run, it requires a significant initial outlay, which may not be feasible for all borrowers. Despite this, its appeal to those seeking to minimize long-term expenses ensures its continued presence in the market.

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.

United States Home Mortgage: Average Loan Amount data was reported at 315.100 USD th in Oct 2018. This records an increase from the previous number of 306.100 USD th for Sep 2018. United States Home Mortgage: Average Loan Amount data is updated monthly, averaging 112.550 USD th from Jan 1973 (Median) to Oct 2018, with 550 observations. The data reached an all-time high of 333.900 USD th in Jun 2018 and a record low of 23.600 USD th in Feb 1973. United States Home Mortgage: Average Loan Amount 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.

Graph and download economic data for 15-Year Fixed Rate Mortgage Average in the United States (MORTGAGE15US) from 1991-08-30 to 2025-07-17 about 15-year, fixed, mortgage, interest rate, interest, rate, and USA.

Reverse Mortgage Providers Market Outlook

The global reverse mortgage providers market size was valued at approximately USD 200 billion in 2023 and is projected to reach nearly USD 400 billion by 2032, growing at a CAGR of 7.5% over the forecast period. The growth of this market is significantly driven by the increasing aging population and the need for financial security among retirees. As the baby boomer generation continues to age, the demand for reverse mortgages, which allow seniors to convert part of the equity in their homes into cash, is expected to rise considerably.

One of the primary growth factors for the reverse mortgage providers market is the increasing life expectancy and the consequent rise in the elderly population. With people living longer, there is a heightened need for sustained financial resources to support longer retirement periods. Reverse mortgages offer a viable solution by enabling homeowners to tap into their home equity without having to move out or make monthly mortgage payments. This financial product has gained popularity as an effective way for seniors to ensure a steady stream of income during their retirement years.

Another major factor contributing to the market growth is the growing awareness and acceptance of reverse mortgages as a financial planning tool. Financial advisors and counselors are increasingly recommending reverse mortgages as part of a diversified retirement strategy. Additionally, government initiatives and regulations supporting the use of reverse mortgages have helped in building credibility and trust among potential users. For instance, the U.S. Department of Housing and Urban Development (HUD) offers Home Equity Conversion Mortgages (HECM), which are insured by the Federal Housing Administration (FHA), thereby providing a safety net for seniors considering this option.

Technological advancements and digitization in the financial services sector have also played a crucial role in the marketÂ’s expansion. The rise of online platforms and mobile applications has made it easier for seniors to access information and apply for reverse mortgages. Digital tools and resources offer convenience and transparency, enabling users to make informed decisions. Moreover, the integration of artificial intelligence and machine learning in financial services has streamlined the application process, reduced paperwork, and improved customer experience.

Private Mortgage Insurance (PMI) is another important aspect of the broader mortgage landscape that can influence the decision-making process for homeowners considering reverse mortgages. While PMI is typically associated with traditional mortgages, where it protects lenders in case of borrower default, its principles underscore the importance of risk management in financial products. For reverse mortgage seekers, understanding the nuances of PMI can provide insights into how different mortgage products are structured to mitigate risk. This knowledge can be particularly beneficial when assessing the financial implications and long-term commitments involved in reverse mortgages, ensuring that homeowners make informed choices that align with their financial goals.

Regionally, North America dominates the reverse mortgage providers market, driven by the high adoption rate and favorable regulatory environment. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period, attributed to the rapidly aging population and increasing awareness of reverse mortgage products. In Europe, the market is also growing steadily, supported by government policies encouraging financial independence among seniors. Latin America and the Middle East & Africa are gradually emerging as potential markets, although they currently hold a smaller share compared to other regions.

Product Type Analysis

The reverse mortgage providers market is segmented by product type into Home Equity Conversion Mortgages (HECM), Proprietary Reverse Mortgages, and Single-Purpose Reverse Mortgages. HECMs are the most popular type and are federally insured, offering several advantages including flexible payment options and non-recourse protection. As a government-backed product, HECMs have stringent eligibility criteria and counseling requirements, ensuring that borrowers fully understand the implications of their financial de

United States Home Mortgage: Newly Built: Average Loan Amount data was reported at 341.300 USD th in Oct 2018. This records an increase from the previous number of 335.500 USD th for Sep 2018. United States Home Mortgage: Newly Built: Average Loan Amount data is updated monthly, averaging 135.200 USD th from Jan 1973 (Median) to Oct 2018, with 550 observations. The data reached an all-time high of 361.900 USD th in Dec 2017 and a record low of 26.200 USD th in Jan 1973. United States Home Mortgage: Newly Built: Average Loan Amount 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.

Fixed 30-year mortgage rates in the United States averaged 6.82 percent in the week ending July 11 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.

Analysis of ‘ Zillow Housing Aspirations Report’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/yamqwe/zillow-housing-aspirations-reporte on 13 February 2022.

--- Dataset description provided by original source is as follows ---

About this dataset

Additional Data Products

Product: Zillow Housing Aspirations Report

Date: April 2017

Definitions

Home Types and Housing Stock

• All Homes: Zillow defines all homes as single-family, condominium and co-operative homes with a county record. Unless specified, all series cover this segment of the housing stock.
• Condo/Co-op: Condominium and co-operative homes.
• Multifamily 5+ units: Units in buildings with 5 or more housing units, that are not a condominiums or co-ops.
• Duplex/Triplex: Housing units in buildings with 2 or 3 housing units.

Additional Data Products

• Zillow Home Value Forecast (ZHVF): The ZHVF is the one-year forecast of the ZHVI. Our forecast methodology is methodology post.
• Zillow creates our negative equity data using our own data in conjunction with data received through our partnership with TransUnion, a leading credit bureau. We match estimated home values against actual outstanding home-related debt amounts provided by TransUnion. To read more about how we calculate our negative equity metrics, please see our here.
• Cash Buyers: The share of homes in a given area purchased without financing/in cash. To read about how we calculate our cash buyer data, please see our research brief.
• Mortgage Affordability, Rental Affordability, Price-to-Income Ratio, Historical ZHVI, Historical ZHVI and Houshold Income are calculated as a part of Zillow’s quarterly Affordability Indices. To calculate mortgage affordability, we first calculate the mortgage payment for the median-valued home in a metropolitan area by using the metro-level Zillow Home Value Index for a given quarter and the 30-year fixed mortgage interest rate during that time period, provided by the Freddie Mac Primary Mortgage Market Survey (based on a 20 percent down payment). Then, we consider what portion of the monthly median household income (U.S. Census) goes toward this monthly mortgage payment. Median household income is available with a lag. For quarters where median income is not available from the U.S. Census Bureau, we calculate future quarters of median household income by estimating it using the Bureau of Labor Statistics’ Employment Cost Index. The affordability forecast is calculated similarly to the current affordability index but uses the one year Zillow Home Value Forecast instead of the current Zillow Home Value Index and a specified interest rate in lieu of PMMS. It also assumes a 20 percent down payment. We calculate rent affordability similarly to mortgage affordability; however we use the Zillow Rent Index, which tracks the monthly median rent in particular geographical regions, to capture rental prices. Rents are chained back in time by using U.S. Census Bureau American Community Survey data from 2006 to the start of the Zillow Rent Index, and Decennial Census for all other years.
• The mortgage rate series is the average mortgage rate quoted on Zillow Mortgages for a 30-year, fixed-rate mortgage in 15-minute increments during business hours, 6:00 AM to 5:00 PM Pacific. It does not include quotes for jumbo loans, FHA loans, VA loans, loans with mortgage insurance or quotes to consumers with credit scores below 720. Federal holidays are excluded. The jumbo mortgage rate series is the average jumbo mortgage rate quoted on Zillow Mortgages for a 30-year, fixed-rate, jumbo mortgage in one-hour increments during business hours, 6:00 AM to 5:00 PM Pacific Time. It does not include quotes to consumers with credit scores below 720. Traditional federal holidays and hours with insufficient sample sizes are excluded.

About Zillow Data (and Terms of Use Information)

• Zillow is in the process of transitioning some data sources with the goal of producing published data that is more comprehensive, reliable, accurate and timely. As this new data is incorporated, the publication of select metrics may be delayed or temporarily suspended. We look forward to resuming our usual publication schedule for all of our established datasets as soon as possible, and we apologize for any inconvenience. Thank you for your patience and understanding.
• All data accessed and downloaded from this page is free for public use by consumers, media, analysts, academics etc., consistent with our published Terms of Use. Proper and clear attribution of all data to Zillow is required.
• For other data requests or inquiries for Zillow Real Estate Research, contact us here.
• All files are time series unless noted otherwise.
• To download all Zillow metrics for specific levels of geography, click here.
• To download a crosswalk between Zillow regions and federally defined regions for counties and metro areas, click here.
• Unless otherwise noted, all series cover single-family residences, condominiums and co-op homes only.

Source: https://www.zillow.com/research/data/

This dataset was created by Zillow Data and contains around 200 samples along with Unnamed: 1, Unnamed: 0, technical information and other features such as: - Unnamed: 1 - Unnamed: 0 - and more.

How to use this dataset

• Analyze Unnamed: 1 in relation to Unnamed: 0
• Study the influence of Unnamed: 1 on Unnamed: 0
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Acknowledgements

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--- Original source retains full ownership of the source dataset ---

30-Year Fixed Rate Mortgage Average in the United States was 6.72% in July of 2025, according to the United States Federal Reserve. Historically, 30-Year Fixed Rate Mortgage Average in the United States reached a record high of 18.63 in October of 1981 and a record low of 2.65 in January of 2021. Trading Economics provides the current actual value, an historical data chart and related indicators for 30-Year Fixed Rate Mortgage Average in the United States - last updated from the United States Federal Reserve on July of 2025.