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.

In 2021, Allegheny County Economic Development (ACED), in partnership with Urban Redevelopment Authority of Pittsburgh(URA), completed the a Market Value Analysis (MVA) for Allegheny County. This analysis services as both an update to previous MVA’s commissioned separately by ACED and the URA and combines the MVA for the whole of Allegheny County (inclusive of the City of Pittsburgh). The MVA is a unique tool for characterizing markets because it creates an internally referenced index of a municipality’s residential real estate market. It identifies areas that are the highest demand markets as well as areas of greatest distress, and the various markets types between. The MVA offers insight into the variation in market strength and weakness within and between traditional community boundaries because it uses Census block groups as the unit of analysis. Where market types abut each other on the map becomes instructive about the potential direction of market change, and ultimately, the appropriateness of types of investment or intervention strategies. This MVA utilized data that helps to define the local real estate market. The data used covers the 2017-2019 period, and data used in the analysis includes: Residential Real Estate Sales Mortgage Foreclosures Residential Vacancy Parcel Year Built Parcel Condition Building Violations Owner Occupancy Subsidized Housing Units The MVA uses a statistical technique known as cluster analysis, forming groups of areas (i.e., block groups) that are similar along the MVA descriptors, noted above. The goal is to form groups within which there is a similarity of characteristics within each group, but each group itself different from the others. Using this technique, the MVA condenses vast amounts of data for the universe of all properties to a manageable, meaningful typology of market types that can inform area-appropriate programs and decisions regarding the allocation of resources. Please refer to the presentation and executive summary for more information about the data, methodology, and findings.

Home prices in the U.S. reach new heights The American housing market continues to show remarkable resilience, with the S&P/Case Shiller U.S. National Home Price Index reaching an all-time high of 325.78 in July 2024. This figure represents a significant increase from the index value of 166.24 recorded in January 2015, highlighting the substantial growth in home prices over the past decade. The S&P Case Shiller National Home Price Index is based on the prices of single-family homes and is the leading indicator of the American housing market and one of the indicators of the state of the broader economy. The S&P Case Shiller National Home Price Index series also includes S&P/Case Shiller 20-City Composite Home Price Index and S&P/Case Shiller 10-City Composite Home Price Index – measuring the home price changes in the major U.S. metropolitan areas, as well as twenty composite indices for the leading U.S. cities. Market fluctuations and recovery Despite the overall upward trend, the housing market has experienced some fluctuations in recent years. During the housing boom in 2021, the number of existing home sales reached the highest level since 2006. However, transaction volumes quickly plummeted, as the soaring interest rates and out-of-reach prices led to housing sentiment deteriorating. Factors influencing home prices Several factors have contributed to the rise in home prices, including a chronic supply shortage, the gradual decline in interest rates, and the spike in demand during the COVID-19 pandemic. During the subprime mortgage crisis (2007-2010), the construction of new homes declined dramatically. Although it has gradually increased since then, the number of new building permits, home starts, and completions are still shy from the levels before the crisis. With demand outweighing supply, competition for homes can be fierce, leading to bidding wars and soaring prices. The supply of existing homes is further constrained, as homeowners are less likely to sell and move homes due to the worsened lending conditions.

Vietnam Real Estate & Mortgage Market Report is Segmented by Type (Residential, Retail, Logistics/Industrial, Hospitality, and Office), Value (Premium, Luxury, and Affordable), and Key Cities (Ho Chi Minh City, Hanoi, Quang Ninh, and Da Nang). The Report Offers Market Sizes and Forecasts in Value (USD) for all the Above Segments.

The US Home Loan Market Report is Segmented by Loan Purpose (Purchase, Home Improvement/Renovation, Others), Provider (Banks, Housing Finance Companies, Others), Interest Rates (Fixed Interest Rates, Floating Interest Rates), and Loan Tenure (Less Than or Equal To 10 Years, 11 – 20 Years, and Longer Than 20 Years). The Market Forecasts are Provided in Terms of Value (USD).

Snapshot img { margin: 10px !important; } Overview of the global housing mortgage market

The global residential loan value segment will grow at a moderate CAGR of nearly 4% by 2020. The global housing real estate market is gaining from an improving business environment, low inflation rates, and surging consumer confidence. Enhanced risk management, underwriting standards, and supervision will drive the prospects for growth in this market until the end of the forecast period. The implementation of enhanced internal risk management frameworks and underwriting standards of all housing mortgage loan originators and brokers will help in the enforcement of the prudential supervision.

A good underwriting standard is consistent across mortgage lenders and brokers and has become a hallmark of the housing mortgage origination business. Such an underwriting takes into account the value of the property, the borrower’s creditworthiness, verification of the submitted information, and sound and independent appraisals.

Housing mortgage market facts based on drivers

In this market, factors such as the rising demand for building manufacturers will aid in the growth of this market during the forecast period. Due to intense material storage and increasing scarcity of skilled labor in the housing mortgage market, the policymakers have been compelled to design measures to ensure the easy availability of cash for builders. Additionally, governments have also started to devise mechanisms like LTV and DTI to encourage the construction of houses in different geographies. In this market, the real estate and housing mortgage managers, the investment community, and developers will need to collaborate with governments to manage and mitigate risks in schemes that might otherwise appear uneconomic.

Housing mortgage market value based on geography

Americas
APAC
EMEA

During 2015, the APAC region dominated the housing mortgage market by accounting for a share of nearly 44%. The introduction of a massive monetary stimulus program, which is aimed at stabilizing inflation and attracting large flows of capital, will aid in the growth of this market in APAC. The countries in this region have also started implementing strategic policies like minimum cash down payments, restricted loan tenures, and mortgage servicing ratio for electronic clearing services to bolster the prospects for market growth until 2020.

Housing mortgage market statistics: Competitive landscape and key vendors

In the global housing mortgage market, the competitive dynamics have changed drastically over the last ten years. Consequently, to remain competitive in this market, the mortgage originators appointed mobile lenders to reduce branch network costs. In addition, the mortgage lenders in this market competed for new businesses through product innovations like home-equity loans, which provide a line of credit against residential property.

Top vendors in this market

Bank of China
China Construction Bank
HSBC
Wells Fargo

Key questions answered in the report include

What will the housing mortgage market size and the growth rate be in 2020?
What are the key factors driving the global housing mortgage market?
What are the key market trends impacting the growth of the global housing mortgage market?
What are the challenges to market growth?
Who are the key vendors in the global housing mortgage market?
What are the market opportunities and threats faced by the vendors in the global housing mortgage market?
Trending factors influencing the market shares of the Americas, APAC, and EMEA.
What are the key outcomes of the five forces analysis of the global housing mortgage market?

Technavio also offers customization on reports based on specific client requirement.

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Global Structured Finance Market 2016-2020

The global home loan market is experiencing robust growth, projected to maintain a Compound Annual Growth Rate (CAGR) exceeding 7% from 2025 to 2033. While the exact 2025 market size ("XX Million") is unspecified, considering a typical market size for such sectors and the provided CAGR, a reasonable estimation would place it in the range of several hundred billion to a trillion dollars depending on the geographical scope of the report (global, regional etc.). This substantial market value underscores the significant demand for home financing globally. The growth is propelled by several key factors, including increasing urbanization, rising disposable incomes in developing economies, supportive government policies promoting homeownership, and the ongoing expansion of the mortgage lending sector itself. Technological advancements, such as online lending platforms and streamlined application processes, also contribute to market expansion by increasing accessibility and efficiency. Conversely, factors like fluctuating interest rates, stringent lending regulations intended to mitigate risk, and economic downturns impacting consumer confidence can act as market restraints. However, the consistent growth trajectory suggests that the positive drivers outweigh these challenges in the long term. The home loan market is segmented based on various criteria such as loan type (fixed-rate, adjustable-rate, etc.), borrower profile (first-time homebuyers, repeat buyers), and loan amount (high-value, low-value). Key players in this dynamic market include established financial institutions like Bank of America, Charles Schwab, Citigroup, Goldman Sachs (Marcus), HSBC, JPMorgan Chase, Morgan Stanley, and Wells Fargo, alongside specialized mortgage lenders such as Dewan Housing Finance Corporation and LIC Housing Finance. Competition among these entities is intense, with each striving to innovate and offer competitive products and services to capture market share within their respective segments. This competition benefits consumers through improved terms and offerings, further driving market growth. The market's future growth trajectory will largely be influenced by the interplay between these driving forces, the potential impact of unforeseen economic events, and ongoing regulatory changes. Key drivers for this market are: Real Estate Market Trends, Government Policies. Potential restraints include: Real Estate Market Trends, Government Policies. Notable trends are: Turkey has the Highest Mortgage Interest Rate.

In 2023, the total value of mortgage debt outstanding in Canada amounted to nearly 1.8 trillion Canadian dollars. Chartered banks held the largest share of mortgages outstanding.

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 ...

Snapshot img { margin: 10px !important; } About Housing Mortgage Mortgage is a debt instrument that the borrower is obliged to pay back with a fixed set of payments and is secured by the collateral of a specified real estate property. Mortgages enable individuals and businesses to make large real estate purchases without paying the entire value of the purchase in one go. Borrowers repay the loan along with interest over a period of many years until they eventually own the property free and clear. However, if borrowers stop paying the mortgage, the lender can foreclose and may evict the property’s owner and sell it, using the income from the sale to clear the mortgage debt. In a fixed-rate mortgage system, borrowers pay the same interest rate for the life of the loan. Most fixed-rate mortgages have a 15 or 30-year term. There is no influence on borrowers’ payment if market interest rates rise. However, if market interest rates decline significantly, borrowers may be able to secure that lower rate by means of refinancing the mortgage. TechNavio's analysts forecast the Housing Mortgage market in the US to grow at a CAGR of 1.75 percent over the period 2013-2018.Covered in this Report This report covers the present scenario and the growth prospects of the Housing Mortgage market in the US for the period 2014-2018. To calculate the market size, the report considers the loan volume of primary housing mortgage banks, credit unions, and financial institutions. It takes into consideration the various product segments such as Home Purchase, Home Improvement, and Refinancing. The report mentions the role played by Federal Government by the way of government-sponsored enterprises operating in the system. TechNavio's report, the Housing Mortgage Market in the US 2014-2018, has been prepared based on an in-depth market analysis with inputs from industry experts. The report covers the US; it also covers the landscape of the Housing Mortgage market in the US and its growth prospects in the coming years. The report also includes a discussion of the key vendors operating in this market.Key Regions • USKey Vendors • Bank of America • Citigroup • JPMorgan Chase • U.S. Bancorp • Wells FargoOther Prominent Vendors • Ally Financial • Capital One Financial • Fifth Third Bancorp • Flagstar Bank, FSB • SunTrust Banks • Quicken Loans • Regions FinancialMarket Driver • Improved Demand for Home Loans • For a full, detailed list, view our reportMarket Challenge • Shrinking Lending Capacity • For a full, detailed list, view our reportMarket Trend • Less Incidence of Foreclosures • For a full, detailed list, view our reportKey Questions Answered in this Report • What will the market size be in 2018 and what will the growth rate be? • What are the key market trends? • What is driving this market? • What are the challenges to market growth? • Who are the key vendors in this market space? • What are the market opportunities and threats faced by the key vendors? • What are the strengths and weaknesses of the key vendors?

Explore borrowing and mortgage trends in Worth County, including conventional vs. government loan performance, average loan sizes, and market share shifts. Data sourced from HMDA regulatory filings shows how local lending patterns evolve through changing market conditions.

In 2017, the County Department of Economic Development, in conjunction with Reinvestment Fund, completed the 2016 Market Value Analysis (MVA) for Allegheny County. A similar MVA was completed with the Pittsburgh Urban Redevelopment Authority in 2016. The Market Value Analysis (MVA) offers an approach for community revitalization; it recommends applying interventions not only to where there is a need for development but also in places where public investment can stimulate private market activity and capitalize on larger public investment activities. The MVA is a unique tool for characterizing markets because it creates an internally referenced index of a municipality’s residential real estate market. It identifies areas that are the highest demand markets as well as areas of greatest distress, and the various markets types between. The MVA offers insight into the variation in market strength and weakness within and between traditional community boundaries because it uses Census block groups as the unit of analysis. Where market types abut each other on the map becomes instructive about the potential direction of market change, and ultimately, the appropriateness of types of investment or intervention strategies. The 2016 Allegheny County MVA does not include the City of Pittsburgh, which was characterized at the same time in the fourth update of the City of Pittsburgh’s MVA. All calculations herein therefore do not include the City of Pittsburgh. While the methodology between the City and County MVA's are very similar, the classification of communities will differ, and so the data between the two should not be used interchangeably. Allegheny County's MVA utilized data that helps to define the local real estate market. Most data used covers the 2013-2016 period, and data used in the analysis includes: •Residential Real Estate Sales; • Mortgage Foreclosures; • Residential Vacancy; • Parcel Year Built; • Parcel Condition; • Owner Occupancy; and • Subsidized Housing Units. The MVA uses a statistical technique known as cluster analysis, forming groups of areas (i.e., block groups) that are similar along the MVA descriptors, noted above. The goal is to form groups within which there is a similarity of characteristics within each group, but each group itself different from the others. Using this technique, the MVA condenses vast amounts of data for the universe of all properties to a manageable, meaningful typology of market types that can inform area-appropriate programs and decisions regarding the allocation of resources. During the research process, staff from the County and Reinvestment Fund spent an extensive amount of effort ensuring the data and analysis was accurate. In addition to testing the data, staff physically examined different areas to verify the data sets being used were appropriate indicators and the resulting MVA categories accurately reflect the market. Please refer to the report (included here as a pdf) for more information about the data, methodology, and findings.

This paper describes subprime lending in the mortgage market and how it has evolved through time. Subprime lending has introduced a substantial amount of risk-based pricing into the mortgage market by creating a myriad of prices and product choices largely determined by borrower credit history (mortgage and rental payments, foreclosures and bankruptcies, and overall credit scores) and down payment requirements. Although subprime lending still differs from prime lending in many ways, much of the growth (at least in the securitized portion of the market) has come in the least-risky (A-) segment of the market. In addition, lenders have imposed prepayment penalties to extend the duration of loans and required larger down payments to lower their credit risk exposure from high-risk loans.

Graph and download economic data for Large Bank Consumer Mortgage Originations: Original Loan-to-Value (LTV): 50th Percentile (RCMFLOLTVPCT50) from Q3 2012 to Q2 2025 about origination, FR Y-14M, large, mortgage, percentile, loans, consumer, banks, depository institutions, and USA.

Explore borrowing and mortgage trends in Worth County, including conventional vs. government loan performance, average loan sizes, and market share shifts. Data sourced from HMDA regulatory filings shows how local lending patterns evolve through changing market conditions.

In late 2016, the URA, in conjunction with Reinvestment Fund, completed the 2016 Market Value Analysis (MVA) for the City of Pittsburgh. The Market Value Analysis (MVA) offers an approach for community revitalization; it recommends applying interventions not only to where there is a need for development but also in places where public investment can stimulate private market activity and capitalize on larger public investment activities. The MVA is a unique tool for characterizing markets because it creates an internally referenced index of a municipality’s residential real estate market. It identifies areas that are the highest demand markets as well as areas of greatest distress, and the various markets types between. The MVA offers insight into the variation in market strength and weakness within and between traditional neighborhood boundaries because it uses Census block groups as the unit of analysis. Where market types abut each other on the map becomes instructive about the potential direction of market change, and ultimately, the appropriateness of types of investment or intervention strategies. Pittsburgh’s 2016 MVA utilized data that helps to define the local real estate market between July, 2013 and June, 2016: • Median Sales Price • Variance of Sales Price • Percent Households Owner Occupied • Density of Residential Housing Units • Percent Rental with Subsidy • Foreclosures as a Percent of Sales • Permits as a Percent of Housing Units • Percent of Housing Units Built Before 1940 • Percent of Properties with Assessed Condition “Poor” or worse • Vacant Housing Units as a Percentage of Habitable Units The MVA uses a statistical technique known as cluster analysis, forming groups of areas (i.e., block groups) that are similar along the MVA descriptors, noted above. The goal is to form groups within which there is a similarity of characteristics within each group, but each group itself different from the others. Using this technique, the MVA condenses vast amounts of data for the universe of all properties to a manageable, meaningful typology of market types that can inform area-appropriate programs and decisions regarding the allocation of resources. During the research process, staff from the URA and Reinvestment Fund spent an extensive amount of effort ensuring the data and analysis was accurate. In addition to testing the data, staff physically examined different areas to verify the data sets being used were appropriate indicators and the resulting MVA categories accurately reflect the market.

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 Brazil Home Loan Market is segmented By Source (Bank and Housing Finance Companies), By Interest Rate (Fixed Rate and Floating Rate), and By Tenure (Up to 5 Years, 6 - 10 Years, 11 - 24 Years, and 25 - 30 Years). The report offers market size and forecasts in value (USD) for all the above segments.

The United Kingdom Mortgage/Loan Broker Market is Segmented by Enterprise Size (Large, Mid-Sized, Small, and Solo Practitioners), Application (Home Loans, Commercial and Industrial Loans, Vehicle Loans, and Other Loans), End-User (Personal, and Businesses), and Distribution Channel (Online, and Offline). The Market Forecasts are Provided in Terms of Value (USD).

2024 Rank Lender Name Originations Lender Market Share 1 UNITED WHOLESALE MORTGAGE, LLC 10,860 8.65% 2 ROCKET MORTGAGE, LLC 6,006 4.78% 3 CROSSCOUNTRY MORTGAGE, LLC 3,693 2.94% 4 U.S. BANK NATIONAL ASSOCIATION 3,162 2.52% 5 JPMORGAN CHASE BANK, NATIONAL ASSOCIATION 3,134 2.50% 6 GUARANTEED RATE, INC. 2,603 2.07% 7 WELLS FARGO BANK, NATIONAL ASSOCIATION 2,414 1.92% 8 CMG MORTGAGE, INC. 2,095 1.67% 9 BANK OF AMERICA, NATIONAL ASSOCIATION 1,990 1.59% 10 CITIBANK, NATIONAL ASSOCIATION 1,829 1.46%