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.

Out of the ** million mortgage applications in the United States in 2021, roughly ** million resulted in mortgage originations. That included applications for home purchase, home improvement, refinancing, cash out refinancing, and other purposes. White applicants accounted for approximately ** million loan originations worth almost *** trillion U.S. dollars, while for Black and African American applicants, this figure stood at roughly ******* originations and *** billion U.S. dollars, respectively. The the number of mortgages originated to Asian applicants was slightly higher at *******.

The value of mortgage applications in the United States came close to eight trillion U.S. dollars in 2021, with loan originations amounting to 4.8 trillion U.S. dollars. This includes applications for home purchase, home improvement, refinancing, cash out refinancing, and other purposes. White applicants accounted for the highest number applications and originations. The value of mortgages originated to White applicants was almost 2.9 trillion U.S. dollars, while for Black and African American applicants, this figure stood at roughly 223 billion U.S. dollars. The the value of mortgages originated to Asian applicants was higher at 415 billion U.S. dollars.

Graph and download economic data for New Home Mortgage Applications for United States (M0264AUSM500NNBR) from Jan 1938 to Dec 1941 about mortgage, new, housing, and USA.

The median mortgage rate was the highest among Black and Hispanic mortgage applicants in the third quarter of 2023, followed closely by White applicants. Asian mortgage applicants for conventional conforming loans had lower interest rate, amounting to 6.63 percent.

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 value of mortgage applications for home purchase in the United States exceeded three trillion U.S. dollars in 2021. That included applications with different outcomes, such as loan origination, application denied, withdrawn by applicant, and other. White applicants accounted for the highest number applications and originations. The value of home purchase mortgage applications by white applicants was approximately 1.6 trillion U.S. dollars, while for Black and African American applicants, this figure stood at roughly 176 billion U.S. dollars. The the value of mortgage applications by Asian applicants was slightly higher at 276 billion U.S. dollars.

The Home Mortgage Disclosure Act (HMDA): Loan Application Register (LAR) and Transmittal Sheet (TS) Raw Data, 2012 contains information collected in calendar year 2011. 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 7,632 lending institutions and cover approximately 14.7 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 for activity year 2011. Part 3, HMDA MSA Offices, and Part 6, PMIC MSA Offices, contain information on all metropolitan statistical areas in the data. Parts 7 through 796 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.

This dataset contains a wealth of information from 52,000 loan applications, offering detailed insights into the factors that influence loan approval decisions. Collected from financial institutions, this data is highly valuable for credit risk analysis, financial modeling, and predictive analytics. The dataset is particularly useful for anyone interested in applying machine learning techniques to real-world financial decision-making scenarios.

Overview: This dataset provides information about various applicants and the loans they applied for, including their demographic details, income, loan terms, and approval status. By analyzing this data, one can gain an understanding of which factors are most critical for determining the likelihood of loan approval. The dataset can also help in evaluating credit risk and building robust credit scoring systems.

Dataset Columns: Applicant_ID: Unique identifier for each loan application. Gender: Gender of the applicant (Male/Female). Age: Age of the applicant. Marital_Status: Marital status of the applicant (Single/Married). Dependents: Number of dependents the applicant has. Education: Education level of the applicant (Graduate/Not Graduate). Employment_Status: Employment status of the applicant (Employed, Self-Employed, Unemployed). Occupation_Type: Type of occupation, which provides insights into the nature of the applicant’s job (Salaried, Business, Others). Residential_Status: Type of residence (Owned, Rented, Mortgage). City/Town: The city or town where the applicant resides. Annual_Income: The total annual income of the applicant, a key factor in loan eligibility. Monthly_Expenses: The monthly expenses of the applicant, indicating their financial obligations. Credit_Score: The applicant's credit score, reflecting their creditworthiness. Existing_Loans: Number of existing loans the applicant is servicing. Total_Existing_Loan_Amount: The total amount of all existing loans the applicant has. Outstanding_Debt: The remaining amount of debt yet to be paid by the applicant. Loan_History: The applicant’s previous loan history (Good/Bad), indicating their repayment reliability. Loan_Amount_Requested: The loan amount the applicant has applied for. Loan_Term: The term of the loan in months. Loan_Purpose: The purpose of the loan (e.g., Home, Car, Education, Personal, Business). Interest_Rate: The interest rate applied to the loan. Loan_Type: The type of loan (Secured/Unsecured). Co-Applicant: Indicates if there is a co-applicant for the loan (Yes/No). Bank_Account_History: Applicant’s banking history, showing past transactions and reliability. Transaction_Frequency: The frequency of financial transactions in the applicant’s bank account (Low/Medium/High). Default_Risk: The risk level of the applicant defaulting on the loan (Low/Medium/High). Loan_Approval_Status: Final decision on the loan application (Approved/Rejected).

The global mortgage loan service market is experiencing robust growth, driven by factors such as increasing urbanization, rising disposable incomes, and favorable government policies promoting homeownership. The market, valued at approximately $2 trillion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 6% from 2025 to 2033. This expansion is fueled by a burgeoning demand for both residential and commercial mortgages, particularly in emerging economies with rapidly expanding middle classes. The residential segment currently dominates the market share, accounting for approximately 70%, with individual borrowers representing the largest application segment. However, the commercial estate and enterprise segments are witnessing significant growth, driven by increased corporate investments and infrastructural development. Key players like Rocket Mortgage, United Shore Financial Services, and Quicken Loans are leveraging technological advancements such as online platforms and AI-powered loan processing to enhance efficiency and customer experience, shaping the competitive landscape. The growth trajectory is expected to be influenced by fluctuating interest rates, macroeconomic conditions, and evolving regulatory frameworks. Nevertheless, the long-term outlook remains positive, underpinned by the fundamental drivers mentioned above. Technological advancements, particularly in fintech, are reshaping the mortgage loan service landscape. The rise of digital platforms, streamlined application processes, and enhanced data analytics are significantly improving accessibility and speed of loan approvals. This efficiency boost is leading to increased competition, encouraging lenders to offer more competitive interest rates and flexible repayment options to attract borrowers. Furthermore, the increasing adoption of alternative credit scoring models is broadening access to mortgage loans for previously underserved populations. Regional variations in market growth are expected, with North America and Asia-Pacific representing the largest markets. However, emerging economies in regions like South America and Africa hold significant potential for future growth, given the increasing demand for housing and infrastructural development within these markets. Geographic expansion and strategic partnerships remain key strategies for players aiming for market dominance within this evolving sector.

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.

A complete list of live websites using the 1003 Mortgage Application technology, compiled through global website indexing conducted by WebTechSurvey.

Asian and White mortgage applicants had, on average, higher credit score than Black and Hispanic applicants. Overall, credit scores declined between the first quarter of 2021 and the second quarter of 2022. Asian mortgage applicants had a credit score of *** in the second quarter of 2022.

Dataset contains the percent of denied mortgages based on the purpose of the application and disaggregated by race. Each cell represents the denial rate within that column's race/ethnicity category's total applications. Data pulled from the Consumer Financial Protection Bureau, collected by the Home Mortgage Disclosure Act, which requires many financial institutions to maintain, report, and publicly disclose information about mortgages.

The Home Mortgage Disclosure Act (HMDA): Loan Application Register (LAR) and Transmittal Sheet (TS) Raw Data, 2008 contains information collected in calendar year 2007. 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 8,610 lending institutions and cover approximately 26.6 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 2007. Part 3, HMDA MSA Offices, and Part 6, PMIC MSA Offices, contain information on all metropolitan statistical areas in the data. Parts 7 through 794 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.

Mortgage Loan Service Market Outlook

The global mortgage loan service market size was valued at approximately $10.5 trillion in 2023 and is projected to reach around $18.2 trillion by 2032, growing at a CAGR of 6.1% during the forecast period. The growth of this market is driven by the increasing urbanization, rising disposable incomes, and favorable government policies aimed at promoting homeownership across various regions. Additionally, the proliferation of digital banking and fintech solutions has made mortgage services more accessible, further contributing to the market's expansion.

One of the primary growth factors for the mortgage loan service market is the significant rise in housing demand globally. As urban populations swell and economic conditions improve, more individuals and families are seeking to purchase homes, driving the need for mortgage loans. This trend is particularly evident in emerging markets, where urbanization is occurring at an unprecedented rate. Governments are also playing a crucial role by implementing policies and grants to make housing more affordable, thereby boosting mortgage adoption.

Technological advancements are another significant factor propelling the mortgage loan service market. The integration of AI, big data analytics, and blockchain technology has revolutionized the way mortgage services are delivered. These technologies streamline application processes, enhance risk assessment, and improve customer service, making it easier and faster for consumers to secure loans. Fintech companies, in particular, are leveraging these technologies to offer more competitive rates and personalized loan products, thereby attracting a broader customer base.

Furthermore, the increasing participation of non-banking financial institutions (NBFIs) and credit unions has diversified the mortgage loan service market. These entities often provide more flexible and innovative loan products compared to traditional banks, meeting the needs of a more varied clientele. NBFIs and credit unions also tend to have more lenient approval processes, making them an attractive option for individuals with non-traditional income sources or lower credit scores. This diversification is contributing significantly to the market's growth.

Mortgage Loans Software is playing an increasingly pivotal role in the evolution of the mortgage loan service market. As the industry embraces digital transformation, software solutions are being developed to streamline the entire mortgage process, from application to approval. These software platforms facilitate better data management, enhance customer experience, and improve operational efficiency for service providers. By automating routine tasks and providing real-time analytics, Mortgage Loans Software helps lenders make more informed decisions, reduce processing times, and minimize errors. This technological advancement is not only beneficial for lenders but also empowers borrowers by offering them greater transparency and control over their mortgage journey.

Regionally, North America continues to dominate the mortgage loan service market due to its well-established financial infrastructure and high homeownership rates. However, the Asia Pacific region is expected to register the fastest growth during the forecast period, driven by rapid urbanization, rising incomes, and government initiatives aimed at affordable housing. Countries like China and India are particularly noteworthy due to their large and growing middle-class populations.

Type Analysis

The mortgage loan service market is segmented by type into fixed-rate mortgages, adjustable-rate mortgages, interest-only mortgages, reverse mortgages, and others. Fixed-rate mortgages are the most popular type, offering borrowers the stability of a constant interest rate over the life of the loan. This makes them particularly attractive in times of low-interest rates, as borrowers can lock in favorable terms for the long term. The predictability of monthly payments also makes fixed-rate mortgages a preferred choice for many homeowners.

Adjustable-rate mortgages (ARMs) offer lower initial interest rates compared to fixed-rate mortgages, making them an attractive option for borrowers who anticipate an increase in their income or plan to sell their property before the rate adjusts. However, the fluctuating interest rates can pose a risk, especially in volatile economic conditions. Despite this, the flexibility

US Mortgage/Loan Brokers Market Analysis The US mortgage/loan brokers market is substantial, valued at USD XX million in 2025 with a projected CAGR of 5.00% during 2025-2033. This growth is attributed to factors such as rising demand for home ownership, increasing home values, and low interest rates. The market is segmented by component (products, services), enterprise (large, small, medium-sized), application (home loans, commercial loans, etc.), end-user (business, individuals), and region. Prominent players include Quicken Loans, Wells Fargo, and Caliber Home Loans. Market Drivers and Trends The growth of the US mortgage/loan brokers market is driven by several factors, including the increasing demand for residential and commercial construction, government incentives for home ownership, and the availability of various loan options. Additionally, technological advancements, such as online loan applications and mobile banking, are simplifying the loan application process. However, rising interest rates and stricter lending regulations pose potential challenges to the market's growth. Nonetheless, the growing need for mortgages and the increasing complexity of loan processes are expected to drive the market's expansion in the coming years. Recent developments include: November 2022: A digital home equity line of credit was introduced by loanDepot, one of the country's biggest non-bank retail mortgage lenders, against the backdrop of inflation and rising consumer debt., October 2022: Pennymac Financial Services launched POWER+, its next generation broker technology platform. Brokers will now have more speed and control over the mortgage process to deliver an exceptional experience to their customers and referral partners.. Notable trends are: Adoption of the New Technologies Driving the Market.

Mortgage Approvals in the United Kingdom increased to 63.03 Thousand in May from 60.66 Thousand in April of 2025. This dataset provides the latest reported value for - United Kingdom Mortgage Approvals - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The global mortgage loan service market is experiencing robust growth, driven by factors such as increasing urbanization, rising disposable incomes, and favorable government policies supporting homeownership. The market size in 2025 is estimated at $2 trillion, exhibiting a Compound Annual Growth Rate (CAGR) of 7% from 2025 to 2033. This positive trajectory is fueled by the expansion of the middle class globally, particularly in emerging economies, leading to a greater demand for housing finance. The market is segmented by loan type (residential and commercial estate) and application (individual and enterprise). The residential segment currently dominates, but the commercial estate segment is witnessing significant growth, propelled by investments in real estate development and infrastructure projects. Technological advancements, such as the rise of fintech and online mortgage platforms, are streamlining the loan application and approval processes, enhancing customer experience and driving market efficiency. However, fluctuating interest rates, stringent regulatory compliance requirements, and economic downturns represent key restraints. The competitive landscape is highly fragmented, with a mix of large established banks (Chase, PNC Bank, Truist) and specialized mortgage lenders (Rocket Mortgage, United Shore Financial Services, LoanDepot) vying for market share. The continued growth of the mortgage loan service market hinges on macroeconomic stability, consistent consumer confidence, and innovative solutions addressing evolving borrower needs. Increased adoption of digital technologies, including AI-powered credit scoring and personalized loan offerings, will further shape the industry. Geographic expansion into underserved markets and the development of sustainable mortgage solutions are also key factors influencing future market dynamics. Regional variations exist, with North America and Europe currently holding the largest market share due to their well-established financial infrastructure and higher homeownership rates. However, rapid growth is anticipated in Asia-Pacific, driven by burgeoning economies and increased urbanization in countries like India and China. Successful players will need to adapt to changing regulatory landscapes, adopt robust risk management strategies, and leverage technological advancements to maintain a competitive edge.

The USA home loan market is experiencing robust growth, projected to maintain a Compound Annual Growth Rate (CAGR) of 18% from 2025 to 2033. While the exact market size for 2025 is not provided, considering a typical large market size and the substantial growth rate, a reasonable estimate would place the market value at approximately $2 trillion in 2025. This significant expansion is driven by several key factors, including a rising population, increasing urbanization, favorable government policies promoting homeownership, and historically low-interest rates (though this last factor is less significant in recent years). The market is witnessing a shift towards digital platforms and online mortgage applications, streamlining the process for borrowers and increasing competition amongst lenders. However, challenges remain, such as fluctuating interest rates, potential economic downturns impacting affordability, and stringent lending regulations designed to protect borrowers. The competitive landscape is dominated by major players like Rocket Mortgage, LoanDepot, Wells Fargo, and Bank of America, along with regional and independent mortgage lenders. These companies are constantly innovating to cater to evolving customer preferences, offering personalized services, and leveraging data analytics for improved risk assessment. The market segmentation is likely diverse, encompassing various loan types (e.g., fixed-rate, adjustable-rate, FHA, VA loans), loan amounts, and borrower demographics. Future growth will depend on macroeconomic factors, including inflation, employment rates, and overall consumer confidence. Continued technological advancements and regulatory changes will significantly influence the market trajectory throughout the forecast period. Key drivers for this market are: Increase in digitization in mortgage lending market, Increase in innovations in software designs to speed up the mortgage-application process. Potential restraints include: Increase in digitization in mortgage lending market, Increase in innovations in software designs to speed up the mortgage-application process. Notable trends are: Growth in Nonbank Lenders is Expected to Drive the Market.