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

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.

The Home Mortgage Disclosure Act (HMDA) database (Consumer Financial Protection Bureau, 2022) has compiled mortgage lending data since 1981, but the collection and dissemination methods have changed over time (Federal Financial Institutions Examination Council, 2018), creating barriers to conducting longitudinal analyses. This HMDA Longitudinal Dataset (HLD) organizes and standardizes information across different eras of HMDA data collection between 1981 and 2021, enabling such analysis. This collection contains two types of datasets: 1) HMDA aggregated data by census tract for each decade and 2) HMDA aggregated data by census tract for individual years. Items for analysis include borrower income values, mortgages by loan type (e.g., conventional, Federal Housing Administration (FHA), Veterans Affairs (VA), refinances), and mortgages by borrower race and gender.

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.

This file includes all active HUD Multifamily insured mortgages. The data is updated monthly.

The National Survey of Mortgage Originations (NSMO) is quarterly mail survey sent to 6,000 borrowers associated with newly-originated mortgages a component of the National Mortgage Database (NMDB®) program.

Includes all terminated HUD Multifamily insured mortgages. It includes the Holder and Servicer at the time the mortgage was terminated. Data is updated monthly and is extracted from MFIS.

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

HMDA Data PublicationThe HMDA data and reports are the most comprehensive publicly available information on mortgage market activity. The data and reports can be used along with the Census demographic information for data analysis purposes. Available below are the data and reports for HMDA data collected in or after 2017. For HMDA data and reports for prior years, visit https://www.ffiec.gov/hmda/hmdaproducts.htm.For information about changes to HMDA Publications visit the Updates and Notes page.

The National Survey of Mortgage Originations (NSMO) is a component of the National Mortgage Database (NMDB®) program. It is a quarterly mail survey jointly funded and managed by the Federal Housing Finance Agency (FHFA) and the Consumer Financial Protection Bureau (CFPB). NSMO provides unique and rich information for a nationally representative sample of newly originated closed-end first-lien residential mortgages in the United States, particularly about borrowers’ experiences getting a mortgage, their perceptions of the mortgage market, and their future expectations. This voluntary survey is administered by Westat, a survey and data collection corporation, to the borrowers associated with the sample mortgages. The respondents can either return the English questionnaire by mail or complete the survey online in English or Spanish. NSMO draws its sample from newly originated mortgages that are part of the NMDB, which is a 1-in-20 sample of closed-end first-lien residential mortgages newly reported to one of the three national credit bureaus. Beginning with mortgages originated in 2013, a simple random sample of about 6,000 mortgages per quarter is drawn for NSMO from loans newly added to the NMDB. The NSMO survey has been conducted quarterly since the first quarter of 2014. The current survey package sent to the respondents can be viewed here.The NSMO public use file was updated on July 1, 2024 to append additional survey records and additional quarters of mortgage performance information. It replaced the public use file released on March 3, 2023. The updated file contains 50,542 sample mortgages originated from 2013 through 2021 based on the first 34 quarterly waves of the NSMO survey. For these mortgages, the updated file contains mortgage performance information through the third quarter of 2023.The original NSMO public use file was published on November 8, 2018, containing mortgages originated from 2013 through 2016. It was first updated on February 20, 2020, containing mortgages originated through 2017. Subsequent updates were published on July 29, 2021 (containing mortgages originated through 2019) and on December 13, 2022 and March 3, 2023 (both containing mortgages originated through 2020).

Mortgage Application in the United States decreased by 1.80 percent in the week ending October 10 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.

BackgroundWhere the data come fromThe Mortgage Performance Trends data come from the NMDB, a joint project we’ve undertaken with the Federal Housing Finance Agency (FHFA). For more information, visit the NMDB program page .The core data in the NMDB come from data maintained by one of the top three nationwide credit repositories. The NMDB has a nationally representative, 5 percent sample of all outstanding, closed-end, first-lien, 1–4 family residential mortgages.The data and analyses presented herein are the sole product of the CFPB. Use of information downloaded from our website, and any alteration or representation regarding such information by a party, is the responsibility of such party.Why the data matterMortgage delinquency rates reflect the health of the mortgage market, and the health of the overall economy.The 30–89 mortgage delinquency rate is a measure of early stage delinquencies. It generally captures borrowers that have missed one or two payments. This rate can be an early indicator of mortgage market health. However, this rate is seasonally volatile and sensitive to temporary economic shocks.The 90–day delinquency rate is a measure of serious delinquencies. It generally captures borrowers that have missed three or more payments. This rate measures more severe economic distress.PrivacyThe Mortgage Performance Trends data have many protections in place to protect personal identity. Before the CFPB or the FHFA receive any data for the NMDB, all records are stripped of information that might reveal a consumer’s identity, such as names, addresses, and Social Security numbers. All data shown are aggregated by state, metropolitan statistical area, or county.

Home Mortgage Disclosure Act (HMDA) requires many FIs to maintain, report, and publicly disclose information about applications for and originations of mortgage loans. HMDA s purposes are to provide the public and public officials with sufficient information to enable them to determine whether institutions are serving the housing needs of the communities and neighborhoods in which they are located, to assist public officials in distributing public sector investments in a manner designed to improve the private investment environment, and to assist in identifying possible discriminatory lending patterns and enforcing antidiscrimination statutes.

Comprehensive dataset containing 789 verified Mortgage broker businesses in Virginia, United States with complete contact information, ratings, reviews, and location data.

Mortgage Originations in the United States increased to 458.28 Billion USD in the second quarter of 2025 from 425.63 Billion USD in the first quarter of 2025. This dataset includes a chart with historical data for the United States Mortgage Originations.

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 Delinquency Rate on Single-Family Residential Mortgages, Booked in Domestic Offices, All Commercial Banks (DRSFRMACBS) from Q1 1991 to Q2 2025 about domestic offices, delinquencies, 1-unit structures, mortgage, family, commercial, residential, domestic, banks, depository institutions, rate, and USA.

United States Mortgage Debt: Multifamily Res: Federal & Rel Agencies: GNMA data was reported at 0.000 USD mn in Mar 2018. This stayed constant from the previous number of 0.000 USD mn for Dec 2017. United States Mortgage Debt: Multifamily Res: Federal & Rel Agencies: GNMA data is updated quarterly, averaging 0.000 USD mn from Mar 1949 (Median) to Mar 2018, with 277 observations. The data reached an all-time high of 4.274 USD bn in Jun 1981 and a record low of 0.000 USD mn in Mar 2018. United States Mortgage Debt: Multifamily Res: Federal & Rel Agencies: GNMA data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s USA – Table US.KA017: Mortgage Debt Outstanding.

Mortgage Data Standardization Market Outlook

According to our latest research, the global Mortgage Data Standardization market size reached USD 1.47 billion in 2024, reflecting robust adoption across financial institutions and regulatory bodies. The market is expected to expand at a CAGR of 13.2% from 2025 to 2033, reaching a projected value of USD 4.13 billion by 2033. This growth is primarily driven by the increasing demand for seamless data integration, regulatory compliance, and operational efficiency in mortgage processes worldwide.

One of the key growth factors propelling the Mortgage Data Standardization market is the surge in regulatory requirements and the intensification of compliance standards in the global mortgage sector. Financial institutions are under mounting pressure to ensure that their data management practices adhere to evolving government mandates, such as the Home Mortgage Disclosure Act (HMDA) in the United States and similar frameworks in Europe and Asia Pacific. These regulations necessitate the adoption of standardized data formats and reporting protocols, which enable more accurate, transparent, and efficient exchanges of mortgage information. As a result, mortgage lenders, banks, and other stakeholders are increasingly investing in advanced software, platforms, and services that facilitate mortgage data standardization, thereby minimizing compliance risks and reducing operational costs.

Another significant growth driver is the rapid digitization and automation of mortgage workflows. As the mortgage industry transitions from legacy systems to digital platforms, the need for standardized data becomes critical for interoperability and integration across various software applications. Mortgage data standardization enables seamless communication between loan origination, servicing, risk management, and analytics systems, thereby enhancing the overall customer experience and improving turnaround times. Furthermore, the proliferation of cloud-based solutions is accelerating this trend, as these platforms offer scalable, secure, and cost-effective means to manage standardized mortgage data across geographically dispersed operations.

Technological advancements in data analytics and artificial intelligence are also fueling the expansion of the Mortgage Data Standardization market. The integration of standardized data formats with advanced analytics tools empowers financial institutions to extract actionable insights, identify trends, and mitigate risks more effectively. By leveraging standardized mortgage data, organizations can enhance decision-making processes, improve loan quality, and optimize portfolio performance. This not only drives business growth but also fosters innovation in product offerings and service delivery, further strengthening the competitive landscape of the market.

From a regional perspective, North America continues to dominate the Mortgage Data Standardization market, accounting for the largest market share in 2024, followed by Europe and Asia Pacific. The United States, in particular, has witnessed significant investments in mortgage technology and regulatory compliance solutions, driven by stringent reporting requirements and a mature financial ecosystem. Meanwhile, emerging markets in Asia Pacific and Latin America are experiencing rapid growth, fueled by increasing mortgage penetration, government-led digitalization initiatives, and rising demand for efficient and transparent lending processes. As these regions continue to modernize their financial infrastructures, the adoption of mortgage data standardization solutions is expected to accelerate, contributing to the overall expansion of the global market.

Component Analysis

The component segment of the Mortgage Data Standardization market is categorized into software, services, and platforms. Software solutions play a pivotal role in enabling financial institutions to standardize, validate, and manage mortgage data efficiently. These solutions encompass data integration tools, workflow automat

Comprehensive dataset containing 127,540 verified Mortgage lender businesses in United States with complete contact information, ratings, reviews, and location data.