The National Mortgage Database (NMDB®) is a nationally representative five percent sample of residential mortgages in the United States.

Bitext - Mortgage and Loans Tagged Training Dataset for LLM-based Virtual Assistants

  Overview

This hybrid synthetic dataset is designed to be used to fine-tune Large Language Models such as GPT, Mistral and OpenELM, and has been generated using our NLP/NLG technology and our automated Data Labeling (DAL) tools. The goal is to demonstrate how Verticalization/Domain Adaptation for the [Mortgage and Loans] sector can be easily achieved using our two-step approach to LLM… See the full description on the dataset page: https://huggingface.co/datasets/bitext/Bitext-mortgage-loans-llm-chatbot-training-dataset.

Fixed 30-year mortgage rates in the United States averaged 6.69 percent in the week ending August 22 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.

Mortgage Application in the United States decreased by 0.50 percent in the week ending August 22 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.

Finances are an important part of life. When looking at the people with mortgage in selected countries worldwide, Norway and the Netherlands lead the ranking. ** percent of consumers from Norway as well as ** percent from the Netherlands are part of this category. Statista Consumer Insights offer you all results of our exclusive Statista surveys, based on more than ********* interviews.

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.

Abstract

Title: Cotality Loan-Level Market Analytics (LLMA)

Cotality Loan-Level Market Analytics (LLMA) for primary mortgages contains detailed loan data, including origination, events, performance, forbearance and inferred modification data. This dataset may not be linked or merged with any of the other datasets we have from Cotality.

Formerly known as CoreLogic Loan-Level Market Analytics (LLMA).

Methodology

Cotality sources the Loan-Level Market Analytics data directly from loan servicers. Cotality cleans and augments the contributed records with modeled data. The Data Dictionary indicates which fields are contributed and which are inferred.

The Loan-Level Market Analytics data is aimed at providing lenders, servicers, investors, and advisory firms with the insights they need to make trustworthy assessments and accurate decisions. Stanford Libraries has purchased the Loan-Level Market Analytics data for researchers interested in housing, economics, finance and other topics related to prime and subprime first lien data.

Cotality provided the data to Stanford Libraries as pipe-delimited text files, which we have 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

Per the End User License Agreement, the LLMA Data cannot be commingled (i.e. merged, mixed or combined) with Tax and Deed Data that Stanford University has licensed from Cotality, or other data which includes the same or similar data elements or that can otherwise be used to identify individual persons or loan servicers.

The 2015 major release of Cotality Loan-Level Market Analytics (for primary mortgages) was intended to enhance the Cotality servicing consortium through data quality improvements and integrated analytics. See **Cotality_LLMA_ReleaseNotes.pdf **for more information about these changes.

For more information about included variables, please see Cotality_LLMA_Data_Dictionary.pdf.

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For more information about how the database was set up, please see LLMA_Download_Guide.pdf.

Bulk Data Access

Data access is required to view this section.

In 2024, United Wholesale Mortgage had the most mortgage loan originations, making it the most active lender that year, with approximately *** million mortgages originated. Besides by number of originations, United Wholesale Mortgage led by origination volume. Rocket Mortgage came second in the ranking with about *** million mortgages.

These tables provide additional detail on the loan assets of U.S. depository institutions by reporting mortgage and consumer loan portfolios broken down by the banks' estimates of the probability of default, as defined below. This information facilitates analysis of the potential concentration of risk in specific loan categories. The institutions reporting this information are generally those with $10 billion or more of assets.

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 Q2 2025 about domestic offices, delinquencies, 1-unit structures, mortgage, family, residential, commercial, domestic, banks, depository institutions, rate, and USA.

Dataset contains home mortgage applications denied in LA City, LA County, and California, disaggregated by race. 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 FCA and the Prudential Regulatory Authority (PRA) both have responsibility for the regulation of mortgage lenders and administrators. They jointly publish the mortgage lending statistics every quarter.

Since the beginning of 2007, around 340 regulated mortgage lenders and administrators have been required to submit a Mortgage Lending and Administration Return (MLAR) each quarter, providing data on their mortgage lending activities.

Latest findings

• The outstanding value of all residential mortgage loans increased by 0.4% from the previous quarter to £1,660.9 billion, and was 0.3% higher than a year earlier.

• The value of gross mortgage advances increased by 16.7% from the previous quarter to £60.2 billion, the first increase since 2023 Q3, and was 15.5% higher than a year earlier.

• The value of new mortgage commitments (lending agreed to be advanced in the coming months) increased by 11.3% from the previous quarter to £66.9 billion, and was 12.5% greater than a year earlier.

Average Mortgage Size in the United States decreased to 372.75 Thousand USD in July from 376.08 Thousand USD in June of 2025. This dataset includes a chart with historical data for the United States Average Mortgage Size.

These data relate to new mortgage lending on residential property in Ireland on an annual basis. Data relates to those institutions [(banks and non-bank mortgage lenders)] who issue at least €50 million of new mortgage lending in a six-month period and are subsequently required to submit loan-level information to the Central Bank for the purposes of the macroprudential mortgage measures. The value and volume of new lending is provided, by borrower type, along with the distribution of lending by Loan-to-value and Loan-to-income ratio. Average characteristics are also provided. These data do not constitute official statistics. These data are published to support transparency and understanding of market developments.

This table contains 80 series, with data starting from 1982 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada); Mortgages (4 items: Total, mortgage loans outstanding; Mortgages in Canada outstanding; Mortgage loans outside Canada outstanding; Allowance for credit losses); Increases and decreases (15 items: Total, increases and decreases; Gross increase; Cash disbursement of principal; Purchases of mortgages from; ...); Type of mortgage (7 items: Total, mortgages; Total, residential mortgages; Residential mortgages, insured; Residential mortgages, uninsured; ...).

China Consumer Loan: Residential Housing Mortgage Loan data was reported at 25,750.000 RMB bn in 2018. This records an increase from the previous number of 21,860.500 RMB bn for 2017. China Consumer Loan: Residential Housing Mortgage Loan data is updated yearly, averaging 2,473.416 RMB bn from Dec 1997 (Median) to 2018, with 20 observations. The data reached an all-time high of 25,750.000 RMB bn in 2018 and a record low of 13.100 RMB bn in 1997. China Consumer Loan: Residential Housing Mortgage Loan data remains active status in CEIC and is reported by The People's Bank of China. The data is categorized under China Premium Database’s Money and Banking – Table CN.KB: Loan: Consumer Loan.

The Maryland Mortgage Program provides help in the form of Down Payment Assistance, as well as a range of Partner Match programs from employers, developers and community organizations that can help you cover these down payment and closing costs. These programs may make it possible for first-time homebuyers to afford a mortgage when they would not be able to do so the conventional way.

DISCLAIMER: Some of the information may be tied to the Department’s bond funded loan programs and should not be relied upon in making an investment decision. The Department provides comprehensive quarterly and annual financial information and operating data regarding its bonds and bond funded loan programs, all of which is posted on the publicly-accessible Electronic Municipal Market Access system website (commonly known as EMMA) that is maintained by the Municipal Securities Rulemaking Board, and on the Department’s website under Investor Information.

More information accessible here: http://dhcd.maryland.gov/Investors/Pages/default.aspx

The table shows the level of mortgage credit extended by banks around the world including the most recent value and recent changes. This is the level of outstanding housing credit at a given point in time. The numbers are in billion local currency units and are updated right after the new data are released by the national authorities. Mortgage credit is by far the main component of household credit which also includes consumer credit. In many countries it exceeds the level of business credit. Greater access to mortgage credit makes it easier for households to buy real estate which is very beneficial but it does not contribute to long-term economic growth. In fact, if its growth is excessive it could lead to banking crises.

Graph and download economic data for Households and Nonprofit Organizations; One-to-Four-Family Residential Mortgages; Liability, Level (HMLBSHNO) from Q4 1945 to Q1 2025 about balance sheet, nonprofit organizations, mortgage, liabilities, households, housing, and USA.

In the fourth quarter of 2024, the total value of mortgage originations for purchasing one-to-four family residential housing in the United States was approximately 304 billion U.S. dollars, which was a decrease from the same quarter the year before. This was over 60 percent of the total volume of mortgage lending in that quarter.