The U.S. mortgage market has declined notably since 2020 and 2021, mostly due to the effect of higher borrowing costs on refinance mortgages. The value of refinancing mortgage originations, amounted to 190 billion U.S. dollars in the fourth quarter of 2024, down from a peak of 851 billion U.S. dollars in the fourth quarter of 2020. The value of mortgage loans for the purchase of a property recorded milder fluctuations, with a value of 304 billion U.S. dollars in the fourth quarter of 2024. According to the forecast, mortgage lending is expected to slightly increase until the end of 2026. The cost of mortgage borrowing in the U.S. Mortgage interest rates in the U.S. rose dramatically in 2022, peaking in the final quarter of 2024. In 2020, a homebuyer could lock in a 30-year fixed interest rate of under three percent, whereas in 2024, the average rate for the same mortgage type exceeded 6.6 percent. This has led to a decline in homebuyer sentiment, and an increasing share of the population pessimistic about buying a home in the current market. The effect of a slower housing market on property prices and rents According to the S&P/Case Shiller U.S. National Home Price Index, housing prices experienced a slight correction in early 2023, as property transactions declined. Nevertheless, the index continued to grow in the following months. On the other hand, residential rents have increased steadily since 2000.

Mortgage Application in the United States increased by 9.40 percent in the week ending July 4 of 2025 over the previous week. This dataset provides - United States MBA Mortgage Applications - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The National Mortgage Database (NMDB®) is a nationally representative five percent sample of residential mortgages in the United States.

Mortgage Originations in the United States decreased to 425.63 Billion USD in the first quarter of 2025 from 465.35 Billion USD in the fourth quarter of 2024. This dataset includes a chart with historical data for the United States Mortgage Originations.

Black mortgage applicants had the highest denial rates in the United States between the first quarter of 2019 and the third quarter of 2023. In the third quarter of 2023, denial rates were ** percent for Black applicants, while Hispanic applicants had the second-highest denial rates at **** percent. For all races, the denial rates significantly fluctuated between 2019 and 2023.

This table contains 80 series, with data starting from 1982 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada); Mortgages (4 items: Total, mortgage loans outstanding; Mortgages in Canada outstanding; Mortgage loans outside Canada outstanding; Allowance for credit losses); Increases and decreases (15 items: Total, increases and decreases; Gross increase; Cash disbursement of principal; Purchases of mortgages from; ...); Type of mortgage (7 items: Total, mortgages; Total, residential mortgages; Residential mortgages, insured; Residential mortgages, uninsured; ...).

Our US Home Ownership Data is gathered and aggregated via surveys, digital services, and public data sources. We use powerful profiling algorithms to collect and ingest only fresh and reliable data points.

Our comprehensive data enrichment solution includes various data sets that can help you address gaps in your customer data, gain a deeper understanding of your customers, and power superior client experiences. 1. Geography - City, State, ZIP, County, CBSA, Census Tract, etc. 2. Demographics - Gender, Age Group, Marital Status, Language etc. 3. Financial - Income Range, Credit Rating Range, Credit Type, Net worth Range, etc 4. Persona - Consumer type, Communication preferences, Family type, etc 5. Interests - Content, Brands, Shopping, Hobbies, Lifestyle etc. 6. Household - Number of Children, Number of Adults, IP Address, etc. 7. Behaviours - Brand Affinity, App Usage, Web Browsing etc. 8. Firmographics - Industry, Company, Occupation, Revenue, etc 9. Retail Purchase - Store, Category, Brand, SKU, Quantity, Price etc. 10. Auto - Car Make, Model, Type, Year, etc. 11. Housing - Home type, Home value, Renter/Owner, Year Built etc.

Consumer Graph Schema & Reach: Our data reach represents the total number of counts available within various categories and comprises attributes such as country location, MAU, DAU & Monthly Location Pings:

Data Export Methodology: Since we collect data dynamically, we provide the most updated data and insights via a best-suited method on a suitable interval (daily/weekly/monthly).

Consumer Graph Use Cases: 360-Degree Customer View: Get a comprehensive image of customers by the means of internal and external data aggregation. Data Enrichment: Leverage Online to offline consumer profiles to build holistic audience segments to improve campaign targeting using user data enrichment Fraud Detection: Use multiple digital (web and mobile) identities to verify real users and detect anomalies or fraudulent activity. Advertising & Marketing: Understand audience demographics, interests, lifestyle, hobbies, and behaviors to build targeted marketing campaigns.

Discover the power of McGRAW’s comprehensive data solutions, the industry's largest and most complete property and ownership database in the nation. Additionally, the mortgage industry's most sought-after analytics solutions for loan quality, risk management, compliance, and collateral valuation. These data sets are built to empower businesses with reliable, accurate, and actionable insights across the mortgage, real estate, and title sectors. With access to over 150 million records and 200 attributes, our expansive data repository enables you to streamline decision-making, optimize marketing, and enhance customer targeting across industries. Take a look at the comprehensive data sets below:

Mortgage Data Our mortgage data encompasses loan origination, borrower profiles, mortgage terms, and payment statuses, providing a complete view of borrowers and mortgage landscapes. We deliver details on active and historical mortgages, including lender information, loan types, interest rates, and mortgage maturity. This empowers financial institutions and analysts to predict market trends, assess creditworthiness, and personalize customer outreach with accuracy.

Property Data McGRAW’s property data includes detailed attributes on residential and commercial properties, spanning property characteristics, square footage, zoning information, construction dates, and much more. Our data empowers real estate professionals, property appraisers, and investors to make well-informed decisions based on current and historical property details.

Title Data Our title data service provides a clear view of ownership history and title status, ensuring comprehensive information on property chain-of-title, lien positions, encumbrances, and transaction history. This invaluable data assists title companies, legal professionals, and financial institutions in validating title claims, mitigating risks, and reducing time-to-close.

Ownership Data McGRAW ownership data supplies in-depth insights into individual and corporate property ownership, offering information on property owners, purchase prices, and ownership duration. This dataset is crucial for due diligence, investment planning, and market analysis, giving businesses the competitive edge to identify opportunities and assess ownership patterns in the marketplace.

Unmatched Data Quality & Coverage Our data covers the full spectrum of residential and commercial properties in the United States, with attributes verified for accuracy and updated regularly. From state-of-the-art technology to rigorous data validation practices, McGRAW’s data quality stands out, providing the confidence that businesses need to make strategic decisions.

Why Choose McGRAW Data?

Extensive Reach: Over 150 million records provide unparalleled depth and breadth of data coverage across all 50 states.

Diverse Attributes: With 200 attributes across mortgage, property, title, and ownership data, businesses can customize data views for specific needs.

Actionable Insights: Our data analytics tools and customizable reports translate raw data into valuable insights, helping you stay ahead in the competitive landscape.

Leverage McGRAW’s data solutions to unlock a holistic view of the mortgage, property, title, and ownership landscapes. For real estate professionals, lenders, and investors seeking data-driven growth, McGRAW provides the tools to elevate decision-making, enhance operational efficiency, and drive business success in today’s data-centric market.

Number of Mortgages: Rural Areas: Bank Loans data was reported at 1,458.000 Unit in May 2018. This records an increase from the previous number of 874.000 Unit for Apr 2018. Number of Mortgages: Rural Areas: Bank Loans data is updated monthly, averaging 1,116.000 Unit from Jan 2003 (Median) to May 2018, with 185 observations. The data reached an all-time high of 2,119.000 Unit in Oct 2008 and a record low of 616.000 Unit in Dec 2013. Number of Mortgages: Rural 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.

Quarterly non-bank outstanding residential mortgages by insurance status, amortization period, total debt service ratio, loan-to-value and, days in arrears, by lender type and number of mortgages, displayed in thousands of dollars, unless otherwise specified.

Mortgage Assignment & Release Data refers to information related to the assignment and release of mortgage loans. It provides valuable insights into the transfer of mortgage ownership from one party to another and the subsequent release of the mortgage lien. This data can be essential for various industries, including banking, real estate, legal services, and mortgage lending, enabling them to make informed decisions and mitigate risks associated with mortgage transactions.

What is Assignment and Release Data?

Assignment Data – Assignment data pertains to the transfer of ownership rights of a mortgage loan from one entity to another. This transfer typically occurs when a lender sells or transfers a mortgage loan to another financial institution, such as a bank, credit union, or mortgage-backed security issuer. Assignment data includes information such as the parties involved, the effective date of the assignment, and any relevant terms or conditions.

Release Data – Release data involves the release or satisfaction of a mortgage lien on a property. When a mortgage loan is fully paid off or otherwise satisfied, the lender releases the mortgage lien, allowing the property owner to have clear title. Release data provides details about the release, including the date of release, the parties involved, and any legal documentation associated with the release.

Assignment & Release Property Details:

• 15 Years of Historical Transactions
• Property Address (Where Available)
• Borrower and Ownership Details
• Original, Assignor, and Assignee Lender Name
• Original Mortgage Information

Statistics on real estate mortgages, by province. The data are monthly and include: A. Number of mortgages b. total amount of mortgages

Our Home Ownership Mortgage Database is rebuilt from every two months and contains information on over 50+ million US Homeowners. The data is collected from county recorder and assessor offices.

The file is processed via National Change of Address (NCOA) to ensure deliverability. Additionally, the data is passed against suppression files to eliminate consumers or telephone numbers as appropriate such as Decease File, State Attorney General (SAG) data, the Direct Marketing Association's (DMA) do-not-mail and do-not-call lists, and the national FTC do-not-call file.

Selections include mortgage loan and property attributes along with household, individual and neighborhood demographics.

Quarterly non-bank residential mortgages extended by type of increase and new funds advanced by term to maturity, by insurance status, by lender type and number of mortgages, displayed in thousands of dollars, unless otherwise specified.

The National Mortgage Database (NMDB®) is a nationally​​ representative five percent sample of residential mortgages in the United States. Publication ​of aggregate data from NMDB is a step toward implementing the statutory requirements of section 1324(c) of the Federal Housing Enterprises Financial Safety and Soundness Act of 1992, as amended by the Housing and Economic Recovery Act of 2008. The statute requires FHFA to conduct a monthly mortgage market survey to collect data on the characteristics of individual mortgages, both Enterprise and​ non-Enterprise, and to make the data a​vailable to the public while protecting the privacy of the borrowers.​Notes:1) All CSV file headers are now standardized as described in the Data Dictionary and Technical Notes and all CSV files are zipped.2) Alternate wide format CSV files are available. The wide format may be more easily opened by MS Excel.

MBA Mortgage Market Index in the United States increased to 281.60 points in July 4 from 257.50 points in the previous week. This dataset includes a chart with historical data for the United States MBA Mortgage Market Index.

Graph and download economic data for Large Bank Consumer Mortgage Originations: Original Loan-to-Value (LTV): 50th Percentile (RCMFLOLTVPCT50) from Q3 2012 to Q4 2024 about FR Y-14M, origination, large, percentile, mortgage, loans, consumer, banks, depository institutions, and USA.

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 Q1 2025 about domestic offices, delinquencies, 1-unit structures, mortgage, family, residential, commercial, domestic, banks, depository institutions, rate, and USA.

New Mortgage Lending Statistics. Published by Central Bank of Ireland. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).These data relate to new mortgage lending on residential property in Ireland on an annual basis. Data relates to those institutions [(banks and non-bank mortgage lenders)] who issue at least €50 million of new mortgage lending in a six-month period and are subsequently required to submit loan-level information to the Central Bank for the purposes of the macroprudential mortgage measures. The value and volume of new lending is provided, by borrower type, along with the distribution of lending by Loan-to-value and Loan-to-income ratio. Average characteristics are also provided. These data do not constitute official statistics. These data are published to support transparency and understanding of market developments....

Nearly a million Black households had overdue mortgage payments in the period between the **** of April and the **** of May 2024, while **** million reported they were caught up on mortgage payments. In comparison, approximately *** million White households were behind with their payments, whereas ** million were on track. This makes White homeowners least affected by late mortgage payments.