Graph and download economic data for 30-Year Fixed Rate FHA Mortgage Index (OBMMIFHA30YF) from 2017-01-03 to 2025-07-10 about FHA, 30-year, fixed, mortgage, rate, indexes, and USA.

Graph and download economic data for 30-Year FHA Mortgage Rate: Secondary Market (DISCONTINUED) (FHA30) from Jan 1964 to Jun 2000 about secondary market, 30-year, mortgage, interest rate, interest, rate, and USA.

30 Year Mortgage Rate in the United States increased to 6.72 percent in July 10 from 6.67 percent in the previous week. This dataset includes a chart with historical data for the United States 30 Year Mortgage Rate.

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.

In the United States, interest rates for all mortgage types started to increase in 2021. This was due to the Federal Reserve introducing a series of hikes in the federal funds rate to contain the rising inflation. In the fourth quarter of 2024, the 30-year fixed rate rose slightly, to **** percent. Despite the increase, the rate remained below the peak of **** percent in the same quarter a year ago. Why have U.S. home sales decreased? Cheaper mortgages normally encourage consumers to buy homes, while higher borrowing costs have the opposite effect. As interest rates increased in 2022, the number of existing homes sold plummeted. Soaring house prices over the past 10 years have further affected housing affordability. Between 2013 and 2023, the median price of an existing single-family home risen by about ** percent. On the other hand, the median weekly earnings have risen much slower. Comparing mortgage terms and rates Between 2008 and 2023, the average rate on a 15-year fixed-rate mortgage in the United States stood between **** and **** percent. Over the same period, a 30-year mortgage term averaged a fixed-rate of between **** and **** percent. Rates on 15-year loan terms are lower to encourage a quicker repayment, which helps to improve a homeowner’s equity.

The mortgage delinquency rate for Federal Housing Administration (FHA) loans in the United States declined since 2020, when it peaked at 15.65 percent. In the second quarter of 2024, 10.6 percent of FHA loans were delinquent. Historically, FHA mortgages have the highest delinquency rate of all mortgage types.

Graph and download economic data for Federal Government; Total Mortgages Held by FHA; Asset, Transactions (BOGZ1FA313065035A) from 1946 to 2024 about FHA, transactions, mortgage, federal, assets, government, and USA.

Graph and download economic data for 15-Year Fixed Rate Mortgage Average in the United States (MORTGAGE15US) from 1991-08-30 to 2025-07-10 about 15-year, fixed, mortgage, interest rate, interest, rate, and USA.

Following the drastic increase directly after the COVID-19 pandemic, the delinquency rate started to gradually decline, falling below *** percent in the second quarter of 2023. In the second half of 2023, the delinquency rate picked up, but remained stable throughout 2024. In the first quarter of 2025, **** percent of mortgage loans were delinquent. That was significantly lower than the **** percent during the onset of the COVID-19 pandemic in 2020 or the peak of *** percent during the subprime mortgage crisis of 2007-2010. What does the mortgage delinquency rate tell us? The mortgage delinquency rate is the share of the total number of mortgaged home loans in the U.S. where payment is overdue by 30 days or more. Many borrowers eventually manage to service their loan, though, as indicated by the markedly lower foreclosure rates. Total home mortgage debt in the U.S. stood at almost ** trillion U.S. dollars in 2024. Not all mortgage loans are made equal ‘Subprime’ loans, being targeted at high-risk borrowers and generally coupled with higher interest rates to compensate for the risk. These loans have far higher delinquency rates than conventional loans. Defaulting on such loans was one of the triggers for the 2007-2010 financial crisis, with subprime delinquency rates reaching almost ** percent around this time. These higher delinquency rates translate into higher foreclosure rates, which peaked at just under ** percent of all subprime mortgages in 2011.

The 10-year treasury constant maturity rate in the U.S. is forecast to increase by *** percentage points by 2027, while the 30-year fixed mortgage rate is expected to fall by *** percentage points. From *** percent in 2024, the average 30-year mortgage rate is projected to reach *** percent in 2027.

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 Q1 2025 about domestic offices, delinquencies, 1-unit structures, mortgage, family, residential, commercial, domestic, banks, depository institutions, rate, and USA.

Market Analysis for Mortgage Calculator Tool The global Mortgage Calculator Tool market is projected to grow significantly in the coming years, driven by increasing homeownership rates, rising mortgage interest rates, and the increasing popularity of online financial planning tools. The market size, valued at approximately XXX million in 2025, is anticipated to expand at a CAGR of XX% during the forecast period of 2025-2033. Cloud-based and on-premises solutions dominate the market landscape, with SMEs and large enterprises representing the primary user segments. Key market players include Zillow, USMortgage, Trulia, Ramsey, Veterans United, FHA, Karl's Mortgage Calculator, Mortgage Pal, Calculator.net, and Rocket Mortgage. Key market trends include the integration of advanced technologies such as artificial intelligence and machine learning into mortgage calculators, providing users with personalized and accurate financial projections. Additionally, the growing adoption of mobile-friendly mortgage calculator tools has made it convenient for individuals to access and utilize these tools on their smartphones and tablets. The market is also expected to benefit from increased government initiatives aimed at promoting homeownership and financial literacy among consumers. However, factors such as regulatory compliance requirements and data security concerns may hinder market growth to some extent.

Graph and download economic data for 30-Year Fixed Rate Veterans Affairs Mortgage Index (OBMMIVA30YF) from 2017-01-03 to 2025-07-10 about veterans, 30-year, fixed, mortgage, rate, indexes, and USA.

Graph and download economic data for Federal Government; Total Mortgages Held by FHA; Asset, Transactions (BOGZ1FA313065035Q) from Q4 1946 to Q1 2025 about FHA, transactions, mortgage, federal, assets, government, and USA.

Abstract

The Owner Transfer and Mortgage data covers over 450 million properties, and includes over 50 years of sales history. The tables were generated in June 2024, and cover all U.S. states, the U.S. Virgin Islands, Guam, and Washington, D.C.

The Owner Transfer data provides historical information about property sales and ownership-related transactions, including full, nominal, and quitclaim transactions (involving a change in title/ownership). It contains comprehensive property and transaction information, such as property characteristics, current ownership, transaction history, title company, cash purchase/foreclosure/resale/short sale indicators, and buyer information.

The Mortgage data provides historical information at the mortgage level, including purchase, refinance, equity, as well as details associated with each transaction, such as lender, loan amount, loan date, interest rate, etc. Mortgage details include mortgage amount, type of loan (conventional, FHA, VHA), mortgage rate type, mortgage purpose (cash out first, consolidation, standalone subordinate), mortgage ARM features, and mortgage indicators such as fixed-rate, conforming loan, construction loan, and private party. The Mortgage data also includes subordinate mortgage types, rate details, and lender details (NMLS ID, Loan Company, Loan Officers).

The CoreLogic Smart Data Platform (SDP) Owner Transfer and Mortgage data was formerly known as the CoreLogic Deed data. The CoreLogic Deed data contained both owner transfer and mortgage information. In the CoreLogic Smart Data Platform (SDP), this data was separated into two tables: Owner Transfer and Mortgage. Between the two tables, the CoreLogic Smart Data Platform (SDP) Owner Transfer and Mortgage data contains almost all of the variables that were included in the CoreLogic Deed data. Further, each CoreLogic Smart Data Platform (SDP) table is augmented with additional owner transfer and mortgage characteristics.

Methodology

In the United States, parcel data is public record information that describes a division of land (also referred to as "property" or "real estate"). Each parcel is given a unique identifier called an Assessor’s Parcel Number or APN. The two principal types of records maintained by county government agencies for each parcel of land are deed and property tax records. When a real estate transaction takes place (e.g. a change in ownership), a property deed must be signed by both the buyer and seller. The deed will then be filed with the County Recorder’s offices, sometimes called the County Clerk-Recorder or other similar title. Property tax records are maintained by County Tax Assessor’s offices; they show the amount of taxes assessed on a parcel and include a detailed description of any structures or buildings on the parcel, including year built, square footages, building type, amenities like a pool, etc. There is not a uniform format for storing parcel data across the thousands of counties and county equivalents in the U.S.; laws and regulations governing real estate/property sales vary by state. Counties and county equivalents also have inconsistent approaches to archiving historical parcel data.

To fill researchers’ needs for uniform parcel data, CoreLogic collects, cleans, and normalizes public records that they collect from U.S. County Assessor and Recorder offices. CoreLogic augments this data with information gathered from other public and non-public sources (e.g., loan issuers, real estate agents, landlords, etc.). The Stanford Libraries has purchased bulk extracts from CoreLogic’s parcel data, including mortgage, owner transfer, pre-foreclosure, and historical and contemporary tax assessment data. Data is bundled into pipe-delimited text files, which are uploaded to Data Farm (Redivis) for preview, extraction and analysis.

For more information about how the data was prepared for Redivis, please see CoreLogic 2024 GitLab.

Usage

The Property, Mortgage, Owner Transfer, Historical Property and Pre-Foreclosure data can be linked on the CLIP, a unique identification number assigned to each property.

Mortgage records can be linked to a transaction using the MORTGAGE_COMPOSITE_TRANSACTION_ID.

For more information about included variables, please see:

• core_logic_sdp_owner_transfer_data_dictionary_2024.txt
• core_logic_sdp_mortgage_data_dictionary_2024.txt
• Mortgage_v3.xlsx
• Owner Transfer_v3.xlsx

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For a count of records per FIPS code, please see core_logic_sdp_owner_transfer_counts_2024.txt and core_logic_sdp_mortgage_counts_2024.txt.

For more information about how the CoreLogic Smart Data Platform: Owner Transfer and Mortgage data compares to legacy data, please see core_logic_legacy_content_mapping.pdf.

Bulk Data Access

Data access is required to view this section.

Graph and download economic data for Federal Government; One-to-Four-Family Residential Mortgages Held by FHA; Asset, Transactions (BOGZ1FA313065133A) from 1946 to 2024 about FHA, transactions, mortgage, federal, assets, housing, and USA.

Graph and download economic data for Federal Government; One-to-Four-Family Residential Mortgages Held by FHA; Asset, Transactions (BOGZ1FA313065133Q) from Q4 1946 to Q1 2025 about FHA, transactions, mortgage, federal, assets, housing, and USA.

Revitalization Areas are HUD-designated geographic areas authorized by Congress under provisions of the National Housing Act intended to promote "revitalization, through expanded homeownership opportunities.” HUD-owned single-family properties located in a Revitalization Areas are eligible for discounted sale through special programs, including the Asset Control Areas (ACA) Program, and the Good Neighbor Next Door (GNND) Program.Revitalization Areas are determined by comparing a block group's median household income and home ownership rate to the respective rates of the surrounding area. If the block group is located in a CBSA Metropolitan area, then the metro area is used. However, if the block group is located in a Non-Metro area, then the state rate is used.This dataset also provides several variables relating to REO, and FHA activity in the block group including:- Average REO sales price over the last 12 months;- 90-day FHA defaults;- 90-day FHA defaults in foreclosure;- Active FHA-insured single-family loans;- Active REO properties, and;- A 2-year history of REO closings.Data for median household income are sourced from the 2012-2016 American Community Survey 5-year Estimates, Table B19013 - Median Household Income in the Past 12 Months (in 2016 inflation-adjusted dollars) and single-family homeownership rates are sourced from the 2012-2016 American Community Survey 5-year Estimates, Table B25032 – Tenure by Units in Structure. Data for HUD single family FHA loans and REO extracted from the Single-Family Data Warehouse in December 2018.To learn more about the HUD FHA Revitalization Areas Program visit: https://www.hud.gov/program_offices/housing/sfh/reo/abtrevt/, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Data Dictionary: DD_Revitalization Areas by Block GroupDate of Coverage: 12/2018Data Updated: Quarterly

Graph and download economic data for Federal Government; Multifamily Residential Mortgages Held by FHA; Asset, Transactions (BOGZ1FA313065433Q) from Q4 1946 to Q1 2025 about FHA, multifamily, transactions, mortgage, family, residential, federal, assets, and USA.