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 112 billion U.S. dollars in the first quarter of 2025, 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 272 billion U.S. dollars in the first quarter of 2025. 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.

View quarterly updates and historical trends for US Mortgage Originations. from United States. Source: Mortgage Bankers Association. Track economic data w…

Snapshot img { margin: 10px !important; } About Housing Mortgage Mortgage is a debt instrument that the borrower is obliged to pay back with a fixed set of payments and is secured by the collateral of a specified real estate property. Mortgages enable individuals and businesses to make large real estate purchases without paying the entire value of the purchase in one go. Borrowers repay the loan along with interest over a period of many years until they eventually own the property free and clear. However, if borrowers stop paying the mortgage, the lender can foreclose and may evict the property’s owner and sell it, using the income from the sale to clear the mortgage debt. In a fixed-rate mortgage system, borrowers pay the same interest rate for the life of the loan. Most fixed-rate mortgages have a 15 or 30-year term. There is no influence on borrowers’ payment if market interest rates rise. However, if market interest rates decline significantly, borrowers may be able to secure that lower rate by means of refinancing the mortgage. TechNavio's analysts forecast the Housing Mortgage market in the US to grow at a CAGR of 1.75 percent over the period 2013-2018.Covered in this Report This report covers the present scenario and the growth prospects of the Housing Mortgage market in the US for the period 2014-2018. To calculate the market size, the report considers the loan volume of primary housing mortgage banks, credit unions, and financial institutions. It takes into consideration the various product segments such as Home Purchase, Home Improvement, and Refinancing. The report mentions the role played by Federal Government by the way of government-sponsored enterprises operating in the system. TechNavio's report, the Housing Mortgage Market in the US 2014-2018, has been prepared based on an in-depth market analysis with inputs from industry experts. The report covers the US; it also covers the landscape of the Housing Mortgage market in the US and its growth prospects in the coming years. The report also includes a discussion of the key vendors operating in this market.Key Regions • USKey Vendors • Bank of America • Citigroup • JPMorgan Chase • U.S. Bancorp • Wells FargoOther Prominent Vendors • Ally Financial • Capital One Financial • Fifth Third Bancorp • Flagstar Bank, FSB • SunTrust Banks • Quicken Loans • Regions FinancialMarket Driver • Improved Demand for Home Loans • For a full, detailed list, view our reportMarket Challenge • Shrinking Lending Capacity • For a full, detailed list, view our reportMarket Trend • Less Incidence of Foreclosures • For a full, detailed list, view our reportKey Questions Answered in this Report • What will the market size be in 2018 and what will the growth rate be? • What are the key market trends? • What is driving this market? • What are the challenges to market growth? • Who are the key vendors in this market space? • What are the market opportunities and threats faced by the key vendors? • What are the strengths and weaknesses of the key vendors?

Average mortgage loan amounts by year from 2018-2024 showing the annual average loan size for U.S. home buyers across all loan types including conventional, FHA, VA, and USDA mortgages

In 2022, the total amount of personal mortgage loans granted in Mexico reached *** billion Mexican pesos, a slight increase compared to the value of loans registered the year before. Commercial banks conceded about ** percent of personal mortgage loan value in 2022, followed by the Institute of the National Workers' Housing Fund (INFONAVIT), which was responsible for approximately ** percent of mortgage lending.

United States WAS: Market Volume Index: Government: Purchase data was reported at 164.000 15Mar1996=1000 in 20 Jul 2018. This records a decrease from the previous number of 168.000 15Mar1996=1000 for 13 Jul 2018. United States WAS: Market Volume Index: Government: Purchase data is updated weekly, averaging 132.650 15Mar1996=1000 from Jan 1990 (Median) to 20 Jul 2018, with 1490 observations. The data reached an all-time high of 411.400 15Mar1996=1000 in 30 Apr 2010 and a record low of 25.600 15Mar1996=1000 in 28 Dec 1990. United States WAS: Market Volume Index: Government: Purchase data remains active status in CEIC and is reported by Mortgage Bankers Association. The data is categorized under Global Database’s USA – Table US.KA016: Weekly Applications Survey: Mortgage Loan Applications.

Key statistics for purchase mortgages in 2024, including average loan size, interest rate, and fees.

United States WAS: Market Volume Index data was reported at 209.000 15Mar1996=1000 in 23 Nov 2018. This records a decrease from the previous number of 292.200 15Mar1996=1000 for 16 Nov 2018. United States WAS: Market Volume Index data is updated weekly, averaging 432.150 15Mar1996=1000 from Jan 1990 (Median) to 23 Nov 2018, with 1508 observations. The data reached an all-time high of 1,739.400 15Mar1996=1000 in 13 Jun 2003 and a record low of 40.800 15Mar1996=1000 in 28 Dec 1990. United States WAS: Market Volume Index data remains active status in CEIC and is reported by Mortgage Bankers Association. The data is categorized under Global Database’s United States – Table US.KB008: Mortgage Loan Applications: Weekly Applications Survey.

The Public Use Database (PUDB) is released annually to meet FHFA’s requirement under 12 U.S.C. 4543 and 4546(d) to publicly disclose data about the Enterprises’ single-family and multifamily mortgage acquisitions. The datasets supply mortgage lenders, planners, researchers, policymakers, and housing advocates with information concerning the flow of mortgage credit in America’s neighborhoods. Beginning with data for mortgages acquired in 2018, FHFA has ordered that the PUDB be expanded to include additional data that is the same as the data definitions used by the regulations implementing the Home Mortgage Disclosure Act, as required by 12 U.S.C. 4543(a)(2) and 4546(d)(1).The PUDB single-family datasets include loan-level records that include data elements on the income, race, and sex of each borrower as well as the census tract location of the property, loan-to-value (LTV) ratio, age of mortgage note, and affordability of the mortgage. New for 2018 are the inclusion of the borrower’s debt-to-income (DTI) ratio and detailed LTV ratio data at the census tract level. The PUDB multifamily property-level datasets include information on the unpaid principal balance and type of seller/servicer from which the Enterprise acquired the mortgage. New for 2018 is the inclusion of property size data at the census tract level. The multifamily unit-class files also include information on the number and affordability of the units in the property. Both the single-family and multifamily datasets include indicators of whether the purchases are from “underserved” census tracts, as defined in terms of median income and minority percentage of population.Prior to 2010 the single-family PUDB consisted of three files: Census Tract, National A, and National B files. With the 2010 PUDB a fourth file, National C, was added to provide information on high-cost mortgages acquired by the Enterprises. The single-family Census Tract file includes information on the location of the property based on the 2010 Census for acquisition years 2012 through 2021, and the 2020 Census beginning with the 2022 acquisition year. The National files contain other information but lack detailed geographic information in order to protect Enterprise proprietary data. The multifamily datasets also consist of a Census Tract file, and a National file without detailed geographic information.Several dashboards are available to analyze the data:Enterprise Multifamily Public Use Database DashboardThe Enterprise Multifamily Public Use Database (PUDB) Dashboard provides users an interactive way to generate and visualize Enterprise PUDB data of multifamily mortgage acquisitions by Fannie Mae and Freddie Mac. It shows characteristics about multifamily loans, properties and units at the national level, and characteristics about multifamily loans and properties at the state level. It includes key statistics, time series charts, and state maps of multifamily housing characteristics such as median loan amount, number of properties, average number of units per property, and unit affordability. The underlying aggregate statistics presented in the dashboard come from three multifamily data files in the Enterprise PUDB, updated annually since 2008, including two property-level datasets and a data file on the size and affordability of individual units.Enterprise Multifamily Public Use DashboardPress Release - FHFA Releases Data Visualization Dashboard for Enterprises’ Multifamily Mortgage AcquisitionsMortgage Loan and Natural Disaster DashboardFHFA published an interactive Mortgage Loan and Natural Disaster Dashboard that combines FHFA’s PUDB reports on single-family and multifamily acquisitions for the regulated entities, FEMA’s National Risk Index (NRI), and FHFA’s Duty to Serve 2023 High-Needs rural areas. Desired geographies can be exported to .pdf and Excel from the Public Use Database and National Risk Index Dashboard.Mortgage Loan and Natural Disaster DashboardMortgage Loan and Natural Disaster Dashboard FAQs

Annual market share comparison between purchase and refinance mortgages from 2018-2024.

United States WAS: Market Volume Index: Conventional: Purchase data was reported at 348.800 15Mar1996=1000 in 20 Jul 2018. This records an increase from the previous number of 348.400 15Mar1996=1000 for 13 Jul 2018. United States WAS: Market Volume Index: Conventional: Purchase data is updated weekly, averaging 262.850 15Mar1996=1000 from Jan 1990 (Median) to 20 Jul 2018, with 1490 observations. The data reached an all-time high of 952.400 15Mar1996=1000 in 06 May 2005 and a record low of 36.700 15Mar1996=1000 in 28 Dec 1990. United States WAS: Market Volume Index: Conventional: Purchase data remains active status in CEIC and is reported by Mortgage Bankers Association. The data is categorized under Global Database’s USA – Table US.KA016: Weekly Applications Survey: Mortgage Loan Applications.

This dataset includes home buyers who purchased a home with an Iowa Finance Authority single family mortgage program in the State of Iowa with a loan purchase date between July 1, 2016 and June 30, 2018. The data includes loan Purchase Date, Bond Series, Loan Amount and County.

In financial year 2024, banks in India advanced over *** trillion Indian rupees in housing loans. This was an increase compared to the previous year. This reflected renewed homebuyer sentiment, as an increasing number of Indians were investing in buying residential property. Growth of home loans market Forty years ago, home loans were an alien concept. People would direct their provident fund savings and retirement benefits toward buying a home. However, three key institutions: HDFC, ICICI Ltd, and the State bank of India with their new lending concepts led to significant changes in the home loan market. Currently different commercial banks, NBFCs, and housing finance companies have flooded the mortgage market, and giving prospective home buyers from diverse strata of society with bargaining power and a chance at affording a home. Inflation and home loans   India is not untouched by global inflation. To address the problem, the Reserve Bank of India hiked the repo rate **** times since April 2022 to *** percent. Consequently, leading banks and housing finance companies raised their lending rates. For a prospective homebuyer, this meant a rise in tenure for home loans. In other words, equivalent monthly payments (EMIs)for homebuyers have lengthened and become more expensive. In financial year 2022, banks in India advanced around *** trillion Indian rupees in housing loans almost reaching pre-COVID levels.

United States WAS: Market Volume Index: Conventional data was reported at 487.900 15Mar1996=1000 in 20 Jul 2018. This records an increase from the previous number of 484.100 15Mar1996=1000 for 13 Jul 2018. United States WAS: Market Volume Index: Conventional data is updated weekly, averaging 542.650 15Mar1996=1000 from Jan 1990 (Median) to 20 Jul 2018, with 1490 observations. The data reached an all-time high of 2,551.300 15Mar1996=1000 in 13 Jun 2003 and a record low of 49.200 15Mar1996=1000 in 28 Dec 1990. United States WAS: Market Volume Index: Conventional data remains active status in CEIC and is reported by Mortgage Bankers Association. The data is categorized under Global Database’s USA – Table US.KA016: Weekly Applications Survey: Mortgage Loan Applications.

United States WAS: Market Volume Index: FRM data was reported at 379.400 15Mar1996=1000 in 20 Jul 2018. This records a decrease from the previous number of 380.300 15Mar1996=1000 for 13 Jul 2018. United States WAS: Market Volume Index: FRM data is updated weekly, averaging 414.850 15Mar1996=1000 from Jan 1990 (Median) to 20 Jul 2018, with 1490 observations. The data reached an all-time high of 1,562.500 15Mar1996=1000 in 14 Mar 2003 and a record low of 40.800 15Mar1996=1000 in 28 Dec 1990. United States WAS: Market Volume Index: FRM data remains active status in CEIC and is reported by Mortgage Bankers Association. The data is categorized under Global Database’s USA – Table US.KA016: Weekly Applications Survey: Mortgage Loan Applications.

This dataset includes all home buyers who purchased a home using down payment assistance with loan purchase date between July 1, 2016 and June 30,2018. The data includes Loan Purchase Date, Bond Series, Loan Amount and County.

United States WAS: Market Volume Index: Conventional: FRM data was reported at 474.100 15Mar1996=1000 in 20 Jul 2018. This records an increase from the previous number of 471.500 15Mar1996=1000 for 13 Jul 2018. United States WAS: Market Volume Index: Conventional: FRM data is updated weekly, averaging 517.300 15Mar1996=1000 from Jan 1990 (Median) to 20 Jul 2018, with 1490 observations. The data reached an all-time high of 2,293.200 15Mar1996=1000 in 14 Mar 2003 and a record low of 48.600 15Mar1996=1000 in 28 Dec 1990. United States WAS: Market Volume Index: Conventional: FRM data remains active status in CEIC and is reported by Mortgage Bankers Association. The data is categorized under Global Database’s USA – Table US.KA016: Weekly Applications Survey: Mortgage Loan Applications.

Graph and download economic data for 30-Year Fixed Rate FHA Mortgage Index (OBMMIFHA30YF) from 2017-01-03 to 2025-12-01 about FHA, 30-year, mortgage, fixed, rate, indexes, and USA.

**Context: **

1. Housing Finance company is a company which provide home loans for the houses which were present across all urban, semi-urban and rural areas for their valued customers.
2. The company validates the eligibility of loan after customer applies for the loan. However, it consumes lot of time for the manual validation of eligibility process.
3. Hence, the company wants to automate the loan eligibility process based on the customer information and identify the factors/customer segments who are eligible for taking the loan.
4. As banks would give loans to only those customers that are eligible so that they can be assured of getting the money back.
5. Hence, the more accurate we are in predicting the eligible customers the more beneficial it would be for the company.

**Acknowledgements: **

1. An Exploratory Data Analysis for Loan Prediction Based on Nature of the Clients. International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-7 Issue-4S, November 2018. X.Francis Jency, V.P.Sumathi, Janani Shiva Sri.