View weekly updates and historical trends for 30 Year Mortgage Rate. from United States. Source: Freddie Mac. Track economic data with YCharts analytics.

The S&P/Experian first mortgage default index stood at **** as of May 2022, meaning that based on data from the most recent three months, the annualized share of default first mortgages was **** percent. This was lower than the default rate index of second mortgages and home equity loans. Although the index rose in 2022, it remained below the levels observed in the first two months of 2020 when it amounted to approximately *** percent.

30 Year Mortgage Rate in the United States increased to 6.09 percent in January 22 from 6.06 percent in the previous week. This dataset includes a chart with historical data for the United States 30 Year Mortgage Rate.

Graph and download economic data for 30-Year Fixed Rate FHA Mortgage Index (OBMMIFHA30YF) from 2017-01-03 to 2026-01-22 about FHA, 30-year, mortgage, fixed, rate, indexes, and USA.

Fixed 30-year mortgage rates in the United States averaged 6.16 percent in the week ending January 16 of 2026. 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.

United States Google Search Trends: Economic Measures: Mortgage Loan data was reported at 17.000 Score in 07 Jan 2026. This records a decrease from the previous number of 20.000 Score for 06 Jan 2026. United States Google Search Trends: Economic Measures: Mortgage Loan data is updated daily, averaging 24.000 Score from Dec 2021 (Median) to 07 Jan 2026, with 1499 observations. The data reached an all-time high of 44.000 Score in 15 Jun 2022 and a record low of 0.000 Score in 22 Feb 2023. United States Google Search Trends: Economic Measures: Mortgage Loan data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s United States – Table US.Google.GT: Google Search Trends: by Categories.

Commercial mortgage lending in the United States slowed down in 2022, after surging in 2021. Since 2023, origination has started to recover, with the index increasing for all property types. Industrial real estate experienced the highest index value, at ***** index points in the fourth quarter of 2024. Multifamily and hotel real estate ranked second and third, with *** and *** index points, respectively. The Commercial/Multifamily Mortgage Bankers Originations Index shows the development of mortgage originations since 2001, which was chosen as a base year with an index value of 100. As of the fourth quarter of 2024, the index value for industrial real estate was 1404 index points - the highest among all property types and a fourteen-fold increase since 2001.

The S&P/Experian second mortgage default index stood at **** as of May 2022, meaning that based on data from the most recent three months, the annualized share of default second mortgages and home equity loans was **** percent. This was higher than the first mortgage default rate for the same period. Although the index rose in 2022, it remained below the levels observed in December 2017, when it spiked at **** percent.

Google Search Trends: Economic Measures: Mortgage Loan data was reported at 1.000 Score in 02 Dec 2025. This records an increase from the previous number of 0.000 Score for 01 Dec 2025. Google Search Trends: Economic Measures: Mortgage Loan data is updated daily, averaging 0.000 Score from Dec 2021 (Median) to 02 Dec 2025, with 1463 observations. The data reached an all-time high of 15.000 Score in 23 Oct 2023 and a record low of 0.000 Score in 01 Dec 2025. Google Search Trends: Economic Measures: Mortgage Loan data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s Turkey – Table TR.Google.GT: Google Search Trends: by Categories.

Google Search Trends: Economic Measures: Mortgage Loan data was reported at 22.000 Score in 20 Dec 2025. This records a decrease from the previous number of 24.000 Score for 19 Dec 2025. Google Search Trends: Economic Measures: Mortgage Loan data is updated daily, averaging 30.000 Score from Dec 2021 (Median) to 20 Dec 2025, with 1481 observations. The data reached an all-time high of 97.000 Score in 06 Apr 2022 and a record low of 0.000 Score in 22 Apr 2023. Google Search Trends: Economic Measures: Mortgage Loan data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s Poland – Table PL.Google.GT: Google Search Trends: by Categories.

This data includes filings related to mortgage foreclosure in Allegheny County. The foreclosure process enables a lender to take possession of a property due to an owner's failure to make mortgage payments. Mortgage foreclosure differs from tax foreclosure, which is a process enabling local governments to take possession of a property if the owner fails to pay property taxes. As Pennsylvania is a judicial foreclosure state, a lender files for foreclosure through the court system. Foreclosure data in the court system is maintained by the Allegheny County Department of Court Records. Data included here is from the general docket, and a mortgage foreclosure docket created to help homeowners maintain ownership of their property following an initial filing. Several different types of legal filings may occur on a property involved in the foreclosure process. At this time, only the most recent filing in a case is included in the data found here, but we hope to add all filings for a case in the coming months. After a property enters the foreclosure process, several potential outcomes are possible. Some of the more common outcomes include: borrowers may come to an agreement with the lender for unpaid debt; borrowers may sell the property to satisfy part or all of the debt; borrowers may voluntarily relinquish ownership to the lender; lenders may decide not to pursue the foreclosure any further; and the property may proceed all the way through a sheriff sale, where it is sold to a new owner. Before September 2022, the data presented here included only the final filing for the month in which each case (represented by Case ID) is opened; since then the feed has changed so we now have a new last_activity field, which gets updated whenever there is a new filing in the case with the date of the last filing for the month. The last_activity value gives some indication of which cases are still ongoing. (However, the new feed does not include the docket_type field, so these are blank for cases started after August 2022.) To view the detailed mortgage foreclosure filings for each property represented in this dataset, please visit the Department of Court Records Website, and enter the Case ID for a property to pull-up detailed information about each foreclosure case, including parties, docket entries, and services. Changelog 2022-12-14: Loaded data back to September (which had been missing due to the schema migration). Added a new last_activity field. Data since September 2022 is missing the docket_type value, for now those new values will be set to '' (empty string). Visualizations

Online searches for mortgages have dramatically increased during the coronavirus pandemic as many people in the United States are struggling to make payments on their debts amidst record levels of unemployment. Between March and August 2020, "Rocket mortgage" was the most-searched for financial institution in regard to mortgages in the United States, generating an average of 591,000 monthly searches.

The Pre-1990 HMDA Aggregation Data were prepared annually during this period by the FFIEC on behalf of institutions reporting HMDA data. The Aggregation Data consists of home purchase and home improvement loans that a depository institution originated or purchased during each calendar year. The collected HMDA data were individually aggregated up to the tract level by the reporting depository institution and submitted accordingly to the FFIEC. Individual records are the summary of loan activity for the specified respondent for the indicated census tract except when the census tract numbers were either 888888 or 999999. The 888888 tract records are the sum of all loan activity by the reporter outside of the MSA being reported, but not appearing in any other MSA report. The 999999 tract records are the consolidated county summary data for loans made in untracted counties or counties with 1980 total population less than 30,000. The 1988 and 1989 Aggregation Data files include aggregated data from nondepository institutions, specifically mortgage banking subsidiaries of bank holding companies.

The Commercial/Multifamily Mortgage Bankers Originations Index in the United States declined for the third consecutive quarter, reflecting a trend of decreasing commercial mortgage originations. In the first quarter of 2023, the index stood at *** index points, meaning that originations had increased by ** percent since the base year, 2001 when the index value was set to 100. Among the different institution types, Freddie Mac/Fannie Mae witnessed the highest, and CMBS/Conduits the lowest index value.

This dataset provides comprehensive records of residential mortgage applications, including detailed applicant demographics, property appraisals, title search results, income documentation, loan-to-value ratios, and GSE guideline compliance. It is ideal for risk assessment, regulatory compliance analysis, and process optimization in mortgage underwriting workflows.

Comprehensive dataset examining local SEO strategies specifically tailored for mortgage brokers to dominate neighborhood-level searches in 2025. This dataset analyzes the shift from broad city-level optimization to hyperlocal targeting, covering AI-powered search impacts, Google Business Profile optimization, mobile-first indexing, and content strategies that convert local searches into mortgage leads. The research includes analysis of consumer behavior patterns, technical SEO requirements, and proven methodologies for establishing local market authority in the competitive mortgage brokerage industry.

Comprehensive analysis dataset examining competitive SEO strategies specifically designed for mortgage professionals, focusing on market gap identification, local search optimization, voice search opportunities, and niche specialization strategies for 2025. This dataset provides actionable insights for loan officers, mortgage brokers, and financial service providers looking to identify underserved market segments and capitalize on competitor blind spots in digital marketing.

Russia Google Search Trends: Economic Measures: Mortgage Loan data was reported at 7.000 Score in 21 Dec 2025. This records a decrease from the previous number of 8.000 Score for 20 Dec 2025. Russia Google Search Trends: Economic Measures: Mortgage Loan data is updated daily, averaging 41.000 Score from Dec 2021 (Median) to 21 Dec 2025, with 1482 observations. The data reached an all-time high of 77.000 Score in 15 Aug 2023 and a record low of 0.000 Score in 07 Sep 2025. Russia Google Search Trends: Economic Measures: Mortgage Loan data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s Russian Federation – Table RU.Google.GT: Google Search Trends: by Categories.

Abstract

Title: Cotality Smart Data Platform (SDP): Owner Transfer and Mortgage

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.

Formerly known as CoreLogic Smart Data Platform: Owner Transfer & Mortgage.

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, Cotality collects, cleans, and normalizes public records that they collect from U.S. County Assessor and Recorder offices. Cotality 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 Cotality'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 Cotality 2024 GitLab.

Usage

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 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:

• cotality_sdp_owner_transfer_data_dictionary_2024.txt
• cotality_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 cotality_sdp_owner_transfer_counts_2024.txt and cotality_sdp_mortgage_counts_2024.txt.

For more information about how the Cotality Smart Data Platform: Owner Transfer and Mortgage data compares to legacy data, please see 2025_Legacy_Content_Mapping.pdf.

Bulk Data Access

Data access is required to view this section.

Explore the historical Whois records related to super-low-mortgage-rates.com (Domain). Get insights into ownership history and changes over time.