Data for households in receipt of Support for Mortgage Interest (SMI) loans is available in Stat-Xplore on a quarterly basis.

These quarterly official statistics include:

• the https://stat-xplore.dwp.gov.uk/webapi/openinfopage?id=SMI_CASELOAD" class="govuk-link">number of households who are currently in receipt of the support
• the https://stat-xplore.dwp.gov.uk/webapi/openinfopage?id=SMI_CUM" class="govuk-link">number who have received SMI loans so far

See the background information and methodology note for an explanation of households.

The statistics are broken down by:

• Quarter
• Country, Region
• Qualifying Benefit

Background information

Read the background information and methodology note for guidance on these statistics, such as timeliness and interpretation.

Feedback

Help us improve the statistics

Please complete this https://forms.office.com/e/bZ24FF7ha1" class="govuk-link">short survey to help us make the statistics better.

We welcome all feedback on the content, relevance, accessibility and timing of these statistics to help us in producing statistics that meet user needs. For non-media enquiries on these statistics email: nathan.kelly@dwp.gov.uk

For media enquiries please contact the DWP press office.

Next releases

Support for Mortgage Interest statistics are published quarterly. The dates for future releases are listed in the statistics release calendar.

Pre-release access

In addition to staff who are responsible for the production and quality assurance of the statistics, up to 24-hour pre-release access is provided to ministers and other officials. We publish the job titles and organisations of the people who have been granted up to 24-hour pre-release access to the latest Support for Mortgage Interest statistics.

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

The monthly number of approvals for remortgaging loans to individuals in the UK increased between 2012 and 2020, before plummeting due to the COVID-19 pandemic. In the second half of 2021, remortgaging activity headed for recovery and in October 2022, there were about 50,000 approvals. However, as mortgage interest rates soared, remortgaging fell dramatically, reaching a record low of about 20,000 approvals in October 2023. House purchase mortgage approvals followed a similar trend.

Mortgage Application in the United States increased by 0.80 percent in the week ending July 18 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.

Mortgage lending in the UK declined in 2023, with falling by 33 percent year-on-year in the second quarter of the year. In the second quarter of 2024, the value of new mortgage advances increased annually for the first time since the final quarter of 2024, reaching nearly 60.2 billion British pounds. That indicated an uptick in mortgage demand, possibly due to the much anticipated mortgage interest rate cuts.

The value of buy-to-let (BTL) mortgage loans for property remortgaging in the UK was forecast to continue to increase in 2025, after plummeting in 2023. In 2023, buy-to-let mortgages originated for a property purchase amounted to ************ British pounds, while remortgage originations totaled ** billion British pounds. By 2026, mortgage lending for purchases was forecast to remain stable, while remortgage lending was expected to rise to ** billion British pounds.

Mortgage Assignment & Release Data refers to information related to the assignment and release of mortgage loans. It provides valuable insights into the transfer of mortgage ownership from one party to another and the subsequent release of the mortgage lien. This data can be essential for various industries, including banking, real estate, legal services, and mortgage lending, enabling them to make informed decisions and mitigate risks associated with mortgage transactions.

What is Assignment and Release Data?

Assignment Data – Assignment data pertains to the transfer of ownership rights of a mortgage loan from one entity to another. This transfer typically occurs when a lender sells or transfers a mortgage loan to another financial institution, such as a bank, credit union, or mortgage-backed security issuer. Assignment data includes information such as the parties involved, the effective date of the assignment, and any relevant terms or conditions.

Release Data – Release data involves the release or satisfaction of a mortgage lien on a property. When a mortgage loan is fully paid off or otherwise satisfied, the lender releases the mortgage lien, allowing the property owner to have clear title. Release data provides details about the release, including the date of release, the parties involved, and any legal documentation associated with the release.

Assignment & Release Property Details:

• 15 Years of Historical Transactions
• Property Address (Where Available)
• Borrower and Ownership Details
• Original, Assignor, and Assignee Lender Name
• Original Mortgage Information

New Mortgage Lending Statistics. Published by Central Bank of Ireland. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).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....

Fixed 30-year mortgage rates in the United States averaged 6.84 percent in the week ending July 18 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 rates increased at a record pace in 2022, with the 10-year fixed mortgage rate doubling between March 2022 and December 2022. With inflation increasing, the Bank of England introduced several bank rate hikes, resulting in higher mortgage rates. In May 2025, the average 10-year fixed rate interest rate reached **** percent. As borrowing costs get higher, demand for housing is expected to decrease, leading to declining market sentiment and slower house price growth. How have the mortgage hikes affected the market? After surging in 2021, the number of residential properties sold declined in 2023, reaching just above *** million. Despite the number of transactions falling, this figure was higher than the period before the COVID-19 pandemic. The falling transaction volume also impacted mortgage borrowing. Between the first quarter of 2023 and the first quarter of 2024, the value of new mortgage loans fell year-on-year for five straight quarters in a row. How are higher mortgages affecting homebuyers? Homeowners with a mortgage loan usually lock in a fixed rate deal for two to ten years, meaning that after this period runs out, they need to renegotiate the terms of the loan. Many of the mortgages outstanding were taken out during the period of record-low mortgage rates and have since faced notable increases in their monthly repayment. About **** million homeowners are projected to see their deal expire by the end of 2026. About *** million of these loans are projected to experience a monthly payment increase of up to *** British pounds by 2026.

Mortgage interest rates in the UK were on a downward trend for more than a decade before soaring in 2022. In the fourth quarter of 2024, the average weighted interest rate stood at **** percent — nearly ***** times the interest rate in the fourth quarter of 2021. Mortgage rates also vary depending on the type of mortgage: Historically, fixed rate mortgages with a shorter term had on average lower interest rates. What types of mortgages are there? In terms of the type of interest rate, mortgages can be fixed and variable. A fixed interest rate is simply a mortgage where the rate of repayment is fixed, while a variable rate depends on the lender’s underlying variable interest rate. Furthermore, mortgages could be for a house purchase or for refinancing. The vast majority of mortgages in the UK are fixed rate mortgages for house purchase, and only a small share is for remortgaging. How big is the UK mortgage market? The UK has the largest mortgage market in Europe, amounting to nearly ***billion euros in gross residential mortgage lending as of the second quarter of 2023. When comparing the total outstanding residential mortgage lending, the UK also ranks first with about *** trillion euros.

The National Mortgage Database (NMDB®) is a nationally​​ representative five percent sample of residential mortgages in the United States. Publication ​of aggregate data from NMDB is a step toward implementing the statutory requirements of section 1324(c) of the Federal Housing Enterprises Financial Safety and Soundness Act of 1992, as amended by the Housing and Economic Recovery Act of 2008. The statute requires FHFA to conduct a monthly mortgage market survey to collect data on the characteristics of individual mortgages, both Enterprise and​ non-Enterprise, and to make the data a​vailable to the public while protecting the privacy of the borrowers.​Notes:1) All CSV file headers are now standardized as described in the Data Dictionary and Technical Notes and all CSV files are zipped.2) Alternate wide format CSV files are available. The wide format may be more easily opened by MS Excel.

This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...).

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.

Number of Mortgages: Rural Areas: Bank Loans data was reported at 1,458.000 Unit in May 2018. This records an increase from the previous number of 874.000 Unit for Apr 2018. Number of Mortgages: Rural Areas: Bank Loans data is updated monthly, averaging 1,116.000 Unit from Jan 2003 (Median) to May 2018, with 185 observations. The data reached an all-time high of 2,119.000 Unit in Oct 2008 and a record low of 616.000 Unit in Dec 2013. Number of Mortgages: Rural Areas: Bank Loans data remains active status in CEIC and is reported by National Statistics Institute. The data is categorized under Global Database’s Spain – Table ES.EB012: Mortgage Statistics.

Statistics on real estate mortgages, by province. The data are monthly and include: A. Number of mortgages b. total amount of mortgages

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.

The Residential Mortgage Arrears and Repossessions Statistics detail quarterly developments in the number and value of mortgages in arrears, restructured mortgages, in legal proceedings and repossessed properties. Data are broken down by principal residences (PDH) and buy-to let properties. Data are published on a quarterly basis and are subject to revisions

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 1.2% from the previous quarter to £1,698.5 billion, and was 2.6% higher than a year earlier. * The value of gross mortgage advances increased by 12.8% from the previous quarter to £77.6 billion, the highest new advances since 2022 Q4, and was 50.4% higher than a year earlier. * The value of new mortgage commitments (lending agreed to be advanced in the coming months) decreased by 1.5% from the previous quarter to £68.2 billion, but remained 13.5% higher than a year earlier.

Our US Home Ownership Data is gathered and aggregated via surveys, digital services, and public data sources. We use powerful profiling algorithms to collect and ingest only fresh and reliable data points.

Our comprehensive data enrichment solution includes various data sets that can help you address gaps in your customer data, gain a deeper understanding of your customers, and power superior client experiences. 1. Geography - City, State, ZIP, County, CBSA, Census Tract, etc. 2. Demographics - Gender, Age Group, Marital Status, Language etc. 3. Financial - Income Range, Credit Rating Range, Credit Type, Net worth Range, etc 4. Persona - Consumer type, Communication preferences, Family type, etc 5. Interests - Content, Brands, Shopping, Hobbies, Lifestyle etc. 6. Household - Number of Children, Number of Adults, IP Address, etc. 7. Behaviours - Brand Affinity, App Usage, Web Browsing etc. 8. Firmographics - Industry, Company, Occupation, Revenue, etc 9. Retail Purchase - Store, Category, Brand, SKU, Quantity, Price etc. 10. Auto - Car Make, Model, Type, Year, etc. 11. Housing - Home type, Home value, Renter/Owner, Year Built etc.

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