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.

Mortgage originations in the United States plummeted in 2021 and 2022, after soaring to an all-time high in the previous two years. In the fourth quarter of 2024, the value of new mortgage originations amounted to 494 billion U.S. dollars, about 200 billion U.S. dollars higher than the dip in the first quarter of 2023. These fluctuations were mostly because of the development of mortgage interest rates and mortgage lending for home refinance: While interest rates were at a record low in 2020, many homebuyers used the opportunity to refinance their loan. After rates increased, refinancing declined dramatically. How have home sales developed? Over the past decade, the annual number of homes sold in the U.S. ranged between 4.7 million and 6.9 million, with the number of sales of existing homes far outweighing that of newly built homes sold. Housing transactions have generally declined since 2021 because of the less favorable credit conditions and worsening housing affordability. Cash purchases on the rise Although buying in cash is largely uncommon in the U.S., the number of houses bought with cash has increased since 2009. For those who can afford it, a cash purchase provides a number of benefits. Most importantly, cash buyers save from mortgage payments. Additionally, the closing time on these transactions time faster, which gives a competitive advantage in markets with a lot of competition.

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.

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

Graph and download economic data for Delinquency Rate on Single-Family Residential Mortgages, Booked in Domestic Offices, Banks Not Among the 100 Largest in Size by Assets (DRSFRMOBS) from Q1 1991 to Q1 2025 about domestic offices, delinquencies, 1-unit structures, mortgage, family, residential, domestic, assets, banks, depository institutions, rate, and USA.

United States Mortgage Debt Outstanding: Effective Interest Rate data was reported at 3.799 % in Mar 2020. This records a decrease from the previous number of 3.872 % for Dec 2019. United States Mortgage Debt Outstanding: Effective Interest Rate data is updated quarterly, averaging 7.677 % from Mar 1977 (Median) to Mar 2020, with 173 observations. The data reached an all-time high of 11.449 % in Mar 1985 and a record low of 3.750 % in Dec 2017. United States Mortgage Debt Outstanding: Effective Interest Rate data remains active status in CEIC and is reported by Bureau of Economic Analysis. The data is categorized under Global Database’s United States – Table US.KB025: Mortgage Interest Paid. [COVID-19-IMPACT]

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.

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 New Home Mortgage Applications for United States (M0264BUSM500NNBR) from Jan 1947 to Mar 1956 about mortgage, new, housing, and USA.

Average Mortgage Size in the United States increased to 379.21 Thousand USD in May 31 from 376.99 Thousand USD in the previous week. This dataset includes a chart with historical data for the United States Average Mortgage Size.

Fixed 30-year mortgage rates in the United States averaged 6.77 percent in the week ending July 4 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.

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.

The United States Mortgage/Loans Broker Market Is Segmented By Component (Products And Services) And By Enterprise Size (Large, Small, And Medium-Sized). By Application (Home Loans, Commercial And Industrial Loans, Vehicle Loans, Loans To Governments, And Others), And By End-User (Businesses And Individuals). The Report Offers Market Size And Forecasts For The Us Mortgage/Loans Market 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).

Graph and download economic data for Mortgage Debt Outstanding by Type of Holder and Property: Federal and Related Agencies: Federal Home Loans Banks for One- to Four-Family Residences (DISCONTINUED) (MDOTHFRAFHLBTP1T4FR) from Q1 1949 to Q3 2019 about 1 to 4 unit structures, agency, mortgage, family, debt, residents, federal, and USA.

United States Employment: NF: FA: Mortgages & Non Mortgage Loan Broker data was reported at 91.300 Person th in May 2018. This records a decrease from the previous number of 91.900 Person th for Apr 2018. United States Employment: NF: FA: Mortgages & Non Mortgage Loan Broker data is updated monthly, averaging 69.400 Person th from Jan 1990 (Median) to May 2018, with 341 observations. The data reached an all-time high of 148.200 Person th in Apr 2006 and a record low of 28.700 Person th in Feb 1991. United States Employment: NF: FA: Mortgages & Non Mortgage Loan Broker data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G024: Current Employment Statistics Survey: Employment: Non Farm.

Graph and download economic data for All Sectors; Total Mortgages; Asset, Level (ASTMA) from Q4 1945 to Q1 2025 about mortgage, sector, assets, and USA.

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.

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.