Mortgage Application in the United States decreased by 3.80 percent in the week ending July 25 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 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 lending in the UK declined in 2023, with falling by 33 percent year-on-year in the second quarter of the year. In the second quarter of 2024, the value of new mortgage advances increased annually for the first time since the final quarter of 2024, reaching nearly 60.2 billion British pounds. That indicated an uptick in mortgage demand, possibly due to the much anticipated mortgage interest rate cuts.

Fixed 30-year mortgage rates in the United States averaged 6.83 percent in the week ending July 25 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.

The Mortgage Debt Outstanding table is no longer being updated. All of the series that were published in this table can be found in the Financial Accounts of the United States.

In the second quarter of 2025, the net percentage of respondents who reported that the demand for government residential mortgages increased in the past ***** months was negative ***** percent. This means that the share of industry experts who observed a decline in demand was ******percentage points higher than the share of those who observed a rise in demand. During the housing market boom in the fourth quarter of 2020, this figure amounted to ** percent, showing that industry experts overwhelmingly reported growing demand.

Graph and download economic data for Net Change in Total Liabilities by Housing Tenure: Homeowner with Mortgage (CXUCHGLIABLB1703M) from 2003 to 2023 about change, homeownership, mortgage, liabilities, Net, housing, and USA.

The table shows the level of mortgage credit extended by banks around the world including the most recent value and recent changes. This is the level of outstanding housing credit at a given point in time. The numbers are in billion local currency units and are updated right after the new data are released by the national authorities. Mortgage credit is by far the main component of household credit which also includes consumer credit. In many countries it exceeds the level of business credit. Greater access to mortgage credit makes it easier for households to buy real estate which is very beneficial but it does not contribute to long-term economic growth. In fact, if its growth is excessive it could lead to banking crises.

Germany New Mortgage Agreements: Prev Year % Change data was reported at 1.400 % in 03 Aug 2020. This records an increase from the previous number of 1.000 % for 27 Jul 2020. Germany New Mortgage Agreements: Prev Year % Change data is updated weekly, averaging 4.500 % from Dec 2019 (Median) to 03 Aug 2020, with 32 observations. The data reached an all-time high of 26.700 % in 06 Jul 2020 and a record low of -6.000 % in 01 Jun 2020. Germany New Mortgage Agreements: Prev Year % Change data remains active status in CEIC and is reported by Federal Statistics Office Germany. The data is categorized under Global Database’s Germany – Table DE.KB028: Weekly Loan Agreements and Online Transactions.

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.

SaaS Mortgage Software Market Outlook

The global SaaS mortgage software market is experiencing robust growth, with a market size valued at approximately USD 7.5 billion in 2023 and projected to reach USD 19 billion by 2032, boasting a compound annual growth rate (CAGR) of 11.2%. This expansion is driven by the increasing digitization of financial services and the rising demand for efficient, scalable, and secure mortgage solutions. The preference for cloud-based systems is rising as financial institutions seek to minimize operational costs and enhance customer experience through more agile and scalable platforms that SaaS solutions provide.

One of the key growth factors fueling the SaaS mortgage software market is the accelerated shift towards digital transformation across the financial sector. Financial institutions such as banks, credit unions, and mortgage lenders are increasingly adopting SaaS-based solutions to streamline their operations, reduce manual processes, and enhance customer interaction. The integration of advanced technologies, such as artificial intelligence and machine learning, into these platforms is enabling more accurate and efficient data processing, which is critical in the highly regulated mortgage industry. This shift not only improves operational efficiency but also helps organizations stay competitive in a rapidly evolving market.

Another significant driver of this market is the need for enhanced compliance and risk management solutions. The mortgage industry is subject to a diverse range of regulations that vary by region, and maintaining compliance is a major challenge for lenders. SaaS mortgage software offers built-in compliance management tools that update in real-time to reflect regulatory changes, thereby reducing the risk of non-compliance penalties. Furthermore, these platforms provide robust risk management features that help institutions identify, assess, and mitigate risks associated with lending decisions. This is particularly important in a volatile economic environment where the ability to quickly adapt to changes is paramount.

The rise of remote work and the growing need for flexible, accessible mortgage processing solutions are also contributing to the market's growth. With more employees working from home, financial institutions require software solutions that can be accessed from anywhere to ensure business continuity. SaaS mortgage software offers the flexibility and accessibility needed to support remote workforces, allowing for seamless integration with existing systems and easy scalability as business needs evolve. This trend is likely to continue as organizations prioritize flexible and adaptive solutions that support both in-office and remote work environments.

In the context of the evolving mortgage industry, Loan Servicing Software plays a pivotal role in ensuring the seamless management of the loan lifecycle. This software automates various aspects of loan servicing, including payment processing, escrow management, and customer service, which are crucial for maintaining operational efficiency. By leveraging Loan Servicing Software, financial institutions can handle large volumes of loans with ease, reducing administrative burdens and allowing staff to focus on strategic initiatives. The software's scalability is particularly beneficial as it enables institutions to adapt to changing market conditions and customer demands. Moreover, the integration of real-time data analytics and reporting features provides lenders with valuable insights into portfolio performance, facilitating informed decision-making and enhancing overall business outcomes. As the demand for efficient loan management solutions continues to grow, Loan Servicing Software is set to become an indispensable tool for financial institutions aiming to optimize their operations and improve customer satisfaction.

Regionally, North America dominates the SaaS mortgage software market, driven by the presence of major financial institutions and technology vendors. The region's advanced technological infrastructure and high adoption rate of digital solutions are key factors contributing to its leadership position. However, regions such as Asia Pacific are witnessing significant growth, with countries like China and India increasingly adopting SaaS solutions to support their expanding financial services sectors. Europe also presents a lucrative market, particularly in the wake of stringent regulatory requirements that drive the demand for compliant and efficient mortgage software solutions. As these region

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.

In the second quarter of 2025, the net percentage of respondents who reported that the standards for government residential mortgages tightened in the past three months was **** percent. This means that the share of industry experts who observed a tightening of standards was ***** to the share of those who observed an easing. During the housing market boom in the third quarter of 2020, this figure spiked to **** percent, showing that industry experts overwhelmingly reported tightening standards.

In 2022, a significant proportion of mortgage borrowers who changed their mortgages within the past three years in the UK were well-informed about the borrowing procedure. The share of respondents who felt like they understood what was happening at each step stood at ** percent. About ** perc, most of the borrowers did not have to chase the lending institutions for information, accounting for ** percent of the total sample. Information overload was one of the problems that borrowers had during the process. Nearly half of individuals were unable to handle so much information and so many options to choose from.

Abstract (en): The Home Mortgage Disclosure Act (HMDA): Loan Application Register (LAR) and Transmittal Sheet (TS) Raw Data, 2007 contains information collected in calendar year 2006. The HMDA, enacted by Congress in 1975, requires most mortgage lenders located in metropolitan areas to report data about their housing-related lending activity. The HMDA data were collected from 8,886 lending institutions and cover approximately 34.1 million home purchase and home improvement loans and refinancings, including loan originations, loan purchases, and applications that were denied, incomplete or withdrawn. The Private Mortgage Insurance Companies (PMIC) data refer to applications for mortgage insurance to insure home purchase mortgages and to insure mortgages to refinance existing obligations. Part 1, HMDA Transmittal Sheet (TS), and Part 4, PMIC Transmittal Sheet (TS), include information submitted by reporting institutions with the Loan Application Register (LAR), such as the reporting institution's name, address, and Tax ID. Part 2, HMDA Reporter Panel, and Part 5, PMIC Reporter Panel, contain information on all institutions that reported data in activity year 2006. Part 3, HMDA MSA Offices, and Part 6, PMIC MSA Offices, contain information on all metropolitan statistical areas in the data. Parts 7 through 789 contain HMDA and PMIC Loan Application Register (LAR) files at the national level, at the agency level, and by MSA/MD. With some exceptions, for each transaction the institution reported data about the loan (or application), such as the type and amount of the loan made (or applied for) and, in limited circumstances, its price, the disposition of the application, such as whether it was denied or resulted in an origination of a loan, the property to which the loan relates, such as its type (single-family versus multi-family), and location (including the census tract), the sale of the loan, if it was sold, and the applicant's and co-applicant's ethnicity, race, sex, and income. The data are not weighted and do not contain any weight variables. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Created variable labels and/or value labels.; Created online analysis version with question text.. Home purchase and home improvement loans and refinancings (or applications) lended or insured by financial institutions in the United States that were required to report HMDA data in 2007. Smallest Geographic Unit: city HMDA data were collected from 8,886 depository and nondepository institutions that were required to report HMDA data if they met the law's criteria for coverage. Generally, whether a lender is covered by HMDA depended on the lender's asset size, its location, and whether it is in the business of residential mortgage lending. PMIC data were collected from eight mortgage insurance companies that insured home purchase mortgages and to insure mortgages to refinance existing obligations. For more information about how respondents reported, please refer to A Guide to HMDA Reporting. 2016-12-12 The study title and collection dates have been revised to reflect the 2006 activity year, with data reported in 2007. Filesets 1 through 6 and the multi-part setup files will also be replaced to correct the study year. Variable descriptions for parts 1 through 6 have been incorporated into the ICPSR Codebooks; "Frequencies" documents that were included in previous releases have been retired with this update. SDA was removed from this study as the original SDA pages were processed without using hermes, and the SDA title could not be updated to reflect the correct reporting year. For datasets 7 through 789, ICPSR is releasing the original deposited data files in the condition they were received, along with SPSS, Stata, and SAS setup files.The data file for Part 7, HMDA Loan Application Register (LAR): National File, contains over 34 million records. Due to its large size, users are encouraged to open this dataset in SAS. All Census tract, county definitions, and population counts were based on the 2000 Census of Population and Housing. Value labels for the variable STATE_...

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 Dutch Central Bank (DNB) estimated that the growth of mortgage lending will slow down in 2023 and 2024, after originations rose by *** percent in 2022. That can be explained with the accelerated house price growth in recent years and the higher interest rates, eroding housing affordability. Within Europe, the Netherlands counts as one of the countries with the highest mortgage debt among private individuals. This has a political background as the Dutch tax system allowed homeowners to deduct interest paid on mortgage from pre-tax income for a maximum period of thirty year, essentially allowing for income support for homeowners. In the Netherlands, this system is known as hypotheekrenteaftrek.

MortgagesThis dashboard provides access to data about mortgages, which are closed-end loans used to purchase or refinance a primary residence, vacation home, or investment property. Junior liens and home equity lines of credit (HELOCs) are excluded.Origination activityLending levels - The number and volume of mortgages originated each month.Year-over-year changes - Year-over-year changes in the number and volume of mortgages originated by month.Geographic changes - Geographic distribution of the year-over-year change in the volume of mortgages originated.Inquiry activityInquiry Index - The number of consumers with mortgage inquiries (hard credit pulls) each month indexed to January 2010 levels.Credit tightness index - The number of consumers with mortgage inquiries and no subsequent loan opening each month indexed to January 2010 levels.Borrower risk profilesVolume of mortgages by credit scoreExploring the origination of mortgages to consumers at different credit score levels. Year-over-year changes by credit scoreDetailing the year-over-year changes in origination activity for mortgages by credit score.Lending to low-to-moderate income neighborhoodsVolume of mortgages by neighborhood income levelExamining the origination of mortgages to consumers based on the income level of the neighborhood in which they reside. Year-over-year changes by neighborhood income levelDetailing the year-over-year changes in origination activity for mortgages by neighborhood income level.Lending by borrower ageVolume of mortgages by age groupExploring how lending activity is changing for borrowers by age. Year-over-year changes by borrower ageDetailing the year-over-year changes in origination activity for mortgages by borrower age.

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Mortgage News Daily is a leading news and analysis provider of U.S. mortgage markets and publish Mortgage News Daily rate index which is published daily.