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.

Retail Interest Rates - Mortgage Rates. Published by Central Bank of Ireland. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Table B.3.1 presents quarterly mortgage rate data specific to the Irish market. These data include all euro and non-euro denominated mortgage lending in the Republic of Ireland only. New business refers to new mortgage lending drawdowns during the quarter, broken down by type of interest rate product (i.e. fixed, tracker and SVR). The data also provide further breakdown of mortgages for principal dwelling house (PDH) and buy-to-let (BTL) properties. Renegotiations of existing loans are not included....

Mortgage Originations in the United States decreased to 425.63 Billion USD in the first quarter of 2025 from 465.35 Billion USD in the fourth quarter of 2024. This dataset includes a chart with historical data for the United States Mortgage Originations.

The Home Mortgage Disclosure Act (HMDA) database (Consumer Financial Protection Bureau, 2022) has compiled mortgage lending data since 1981, but the collection and dissemination methods have changed over time (Federal Financial Institutions Examination Council, 2018), creating barriers to conducting longitudinal analyses. This HMDA Longitudinal Dataset (HLD) organizes and standardizes information across different eras of HMDA data collection between 1981 and 2021, enabling such analysis. This collection contains two types of datasets: 1) HMDA aggregated data by census tract for each decade and 2) HMDA aggregated data by census tract for individual years. Items for analysis include borrower income values, mortgages by loan type (e.g., conventional, Federal Housing Administration (FHA), Veterans Affairs (VA), refinances), and mortgages by borrower race and gender.

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.

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.

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.

Following the FCA's Policy Statement on the changes to the responsible lending rules, it has published further data on the mortgage prisoner population. The FCA's Mortgage Market Study estimated that around 140,000 borrowers were unable to switch to a better deal even though they were up-to-date with their payments. To help fix this it changed its rules late last year to allow lenders to assess affordability based on a borrower’s track record of making mortgage payments.

The charts show analysis of the entire dataset which includes all borrowers in closed mortgage books and those who have mortgages owned by unregulated firms regardless of their eligibility to switch because of our new rules. The FCA conducted a data gathering exercise which collected details on all mortgage accounts owned by unregulated firms. This data was combined with details of mortgage accounts held in closed books of regulated firms.

Loan Origination Software Market Outlook 2032

The global loan origination software market size was USD 4.98 Billion in 2023 and is likely to reach USD 15.03 Billion by 2032, expanding at a CAGR of 13.06 % during 2024–2032. The market growth is attributed to the growing regulatory scrutiny and the increasing digitization and automation in the banking and finance industry.



Increasing digitization and automation in the banking and finance industry is expected to boost the demand for loan origination software. Loan origination software automates many of the tasks involved in the loan origination process, such as data entry, credit checks, and document verification. This increases efficiency and reduces the time it takes to process a loan. Therefore, the rising digitization and automation in the banking and finance industry are propelling the market.



Loan origination software is widely used in banking and financial institutions as it reduces the risk of human error, leading to accurate loan assessments and better decision-making. Additionally, this software allows customers to apply for loans online, submit necessary documents, and track their application status in real time, providing a smoother and convenient customer experience. This increases the popularity of loan origination software among consumers which encourages banks and financial institutions to deploy this software for smooth operation.

Impact of Artificial Intelligence (AI) in Loan Origination Software Market

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MBA Mortgage Market Index in the United States increased to 281.60 points in July 4 from 257.50 points in the previous week. This dataset includes a chart with historical data for the United States MBA Mortgage Market Index.

The FR 2956 collects detailed data on depository institutions’ daily transactions trading of marketable U.S. Treasury securities and transactions trading of the debt and mortgage-backed securities (MBS) issued by U.S. federal government agencies including government-sponsored enterprises (agencies). Every national bank, state member bank, state non-member bank, savings association, or U.S. branch and agency of a foreign bank filing a Notice by Financial Institutions of Government Securities Broker or Government Securities Dealer Activities (Form G-FIN; OMB No. 7100-0224) with average daily transaction volumes of over $100 million, for U.S. Treasury debt, or over $50 million, for agency-issued debt and MBS, during the prior fiscal year will be subject to the implemented reporting requirements. Depository institutions subject to the reporting requirements of the FR 2956 electronically report transactions through the Board’s data collection vendor, the Financial Industry Regulatory Authority (FINRA), utilizing its Trade Reporting and Compliance Engine (TRACE). The report has two parts. Part 1 collects data on transactions in U.S. Treasury debt and Part 2 collects transactions in debt and MBS issued by agencies.

Graph and download economic data for 30-Year Fixed Rate Jumbo Mortgage Index (OBMMIJUMBO30YF) from 2017-01-03 to 2025-07-10 about jumbo, 30-year, fixed, mortgage, rate, indexes, and USA.

This dataset tracks the updates made on the dataset "Loans Insured by the Cal-Mortgage Loan Insurance Program, June 30, 2014" as a repository for previous versions of the data and metadata.

Provides monthly totals of Notices of Intent (NOI), Notices of Foreclosure (NOF), and Foreclosure Property Registrations (FPR) for Maryland Counties as reported to the Office of Financial Regulation (OFR).

For additional information and definitions, please see the OFR's Foreclosure Data Tracker: https://www.labor.maryland.gov/finance/consumers/frforeclosuredatatracker.shtml.

NOTE: The data provided is for informational and research purposes only and is not intended to guide policy or provide specific outreach targets. The data provided is compiled from third-party filings with the Office of Financial Regulation (OFR) pursuant to applicable law. These third-party filings may contain duplicates and other errors and the OFR cannot guarantee the accuracy and quality of the submissions upon which the data is based. The data does not constitute foreclosure case records and may differ from the official foreclosure records contained in the court records of the State of Maryland. OFR makes no express or implied warranties or representations concerning the data contained in this report.

BANK LOAN REPORT :

Loan ID: Unique identifier for tracking and managing loans, serving as a primary key.

Address State: Indicates borrower location, aiding risk assessment and compliance monitoring.

Employee Length: Provides insights into employment stability, influencing default risk assessment.

Employee Title: Specifies borrower occupation, verifying income sources for tailored loan offers.

Grade: Represents creditworthiness-based risk classification, influencing loan pricing.

Sub Grade: Refines risk assessment within a grade for tailored lending terms.

Home Ownership: Indicates housing status, offering insights into financial stability.

Issue Date: Marks loan origination date for tracking loan aging and managing portfolios.

Last Credit Pull Date: Records last credit report access, aiding credit risk assessment.

Last Payment Date: Tracks payment history, assessing behavior, and projecting future payments.

Loan Status: Indicates current loan state, assisting in risk analysis and provisioning.

Next Payment Date: Estimates the next payment date for cash flow forecasting.

Purpose: Specifies the reason for the loan, enabling segmentation and customization.

Term: Defines loan duration, structuring agreements, and managing maturities.

Verification Status: Indicates if financial information has been verified, assessing data reliability.

Annual Income: Reflects borrower's yearly earnings, determining loan eligibility and creditworthiness.

DTI (Debt-to-Income Ratio): Measures debt burden relative to income, influencing lending decisions.

Installment: Fixed monthly payment for loan repayment, aiding in affordability assessment.

Interest Rate: This represents the annual cost of borrowing, influencing loan pricing.

Loan Amount: Total borrowed sum, determining the size of the loan.

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.

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.

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.