14 datasets found
  1. F

    15-Year Fixed Rate Mortgage Average in the United States

    • fred.stlouisfed.org
    json
    Updated Sep 4, 2025
    + more versions
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    (2025). 15-Year Fixed Rate Mortgage Average in the United States [Dataset]. https://fred.stlouisfed.org/series/MORTGAGE15US
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 4, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    United States
    Description

    Graph and download economic data for 15-Year Fixed Rate Mortgage Average in the United States (MORTGAGE15US) from 1991-08-30 to 2025-09-04 about 15-year, mortgage, fixed, interest rate, interest, rate, and USA.

  2. d

    Average interest rate of mortgages constituted. HPT (API identifier: 24457)

    • datos.gob.es
    Updated Jul 18, 2025
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    Instituto Nacional de Estadística (2025). Average interest rate of mortgages constituted. HPT (API identifier: 24457) [Dataset]. https://datos.gob.es/en/catalogo/ea0010587-tipo-de-interes-medio-al-inicio-de-las-hipotecas-constituidas-mensual-nacional-estadistica-de-hipotecas-identificador-api-244571
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    Dataset updated
    Jul 18, 2025
    Dataset authored and provided by
    Instituto Nacional de Estadística
    License

    https://www.ine.es/aviso_legalhttps://www.ine.es/aviso_legal

    Description

    Table of INEBase Average interest rate of mortgages constituted. Monthly. National. Mortgages Statistic

  3. d

    Mortgage Rates (Front Line Prices) - Hourly Historical Prices (6am - 10pm...

    • datarade.ai
    .csv, .txt
    Updated May 15, 2023
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    RateSpot (2023). Mortgage Rates (Front Line Prices) - Hourly Historical Prices (6am - 10pm EST) [Dataset]. https://datarade.ai/data-products/mortgage-front-line-prices-hourly-historical-prices-6am-ratespot
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    .csv, .txtAvailable download formats
    Dataset updated
    May 15, 2023
    Dataset authored and provided by
    RateSpot
    Area covered
    United States of America
    Description

    Historical hourly snapshot data of live frontline / advertised prices allows our customers to unlock most/least active advertising times throughout the day, which competitors advertise when and how to reprice.

    We have historical data from pre-covid and track price changes each hour, of each day of the year. We aid mortgage lenders on building PPE models to adjust prices at the right time to maximize their leads while controlling for margins.

  4. g

    Percentage of mortgages constituted according to interest rate. HPT (API...

    • gimi9.com
    Updated Jun 6, 2022
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    (2022). Percentage of mortgages constituted according to interest rate. HPT (API identifier: 24456) | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_urn-ine-es-tabla-t3-3-24456
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    Dataset updated
    Jun 6, 2022
    Description

    🇪🇸 스페인

  5. Percentage of mortgages constituted according to interest rate. HPT (API...

    • datos.gob.es
    Updated Jul 18, 2025
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    Instituto Nacional de Estadística (2025). Percentage of mortgages constituted according to interest rate. HPT (API identifier: 24456) [Dataset]. https://datos.gob.es/en/catalogo/ea0010587-porcentaje-de-hipotecas-constituidas-segun-tipo-de-interes-mensual-nacional-estadistica-de-hipotecas-identificador-api-244561
    Explore at:
    Dataset updated
    Jul 18, 2025
    Dataset provided by
    National Statistics Institutehttp://www.ine.es/
    Authors
    Instituto Nacional de Estadística
    License

    https://www.ine.es/aviso_legalhttps://www.ine.es/aviso_legal

    Description

    Table of INEBase Percentage of mortgages constituted according to interest rate. Monthly. National. Mortgages Statistic

  6. d

    Political Risk Data Append API, USA, CCPA Compliant, Political Interest Data...

    • datarade.ai
    .json, .csv
    Updated Dec 5, 2021
    + more versions
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    Versium (2021). Political Risk Data Append API, USA, CCPA Compliant, Political Interest Data [Dataset]. https://datarade.ai/data-products/versium-reach-political-interest-data-append-api-usa-gdp-versium
    Explore at:
    .json, .csvAvailable download formats
    Dataset updated
    Dec 5, 2021
    Dataset authored and provided by
    Versium
    Area covered
    United States
    Description

    With Versium REACH Demographic Append you will have access to many different attributes for enriching your data.

    Basic, Household and Financial, Lifestyle and Interests, Political and Donor.

    Here is a list of what sorts of attributes are available for each output type listed above:

    Basic: - Senior in Household - Young Adult in Household - Small Office or Home Office - Online Purchasing Indicator
    - Language - Marital Status - Working Woman in Household - Single Parent - Online Education - Occupation - Gender - DOB (MM/YY) - Age Range - Religion - Ethnic Group - Presence of Children - Education Level - Number of Children

    Household, Financial and Auto: - Household Income - Dwelling Type - Credit Card Holder Bank - Upscale Card Holder - Estimated Net Worth - Length of Residence - Credit Rating - Home Own or Rent - Home Value - Home Year Built - Number of Credit Lines - Auto Year - Auto Make - Auto Model - Home Purchase Date - Refinance Date - Refinance Amount - Loan to Value - Refinance Loan Type - Home Purchase Price - Mortgage Purchase Amount - Mortgage Purchase Loan Type - Mortgage Purchase Date - 2nd Most Recent Mortgage Amount - 2nd Most Recent Mortgage Loan Type - 2nd Most Recent Mortgage Date - 2nd Most Recent Mortgage Interest Rate Type - Refinance Rate Type - Mortgage Purchase Interest Rate Type - Home Pool

    Lifestyle and Interests: - Mail Order Buyer - Pets - Magazines - Reading
    - Current Affairs and Politics
    - Dieting and Weight Loss - Travel - Music - Consumer Electronics - Arts
    - Antiques - Home Improvement - Gardening - Cooking - Exercise
    - Sports - Outdoors - Womens Apparel
    - Mens Apparel - Investing - Health and Beauty - Decorating and Furnishing

    Political and Donor: - Donor Environmental - Donor Animal Welfare - Donor Arts and Culture - Donor Childrens Causes - Donor Environmental or Wildlife - Donor Health - Donor International Aid - Donor Political - Donor Conservative Politics - Donor Liberal Politics - Donor Religious - Donor Veterans - Donor Unspecified - Donor Community - Party Affiliation

  7. G

    Canada Mortgage and Housing Corporation, conventional mortgage lending rate,...

    • open.canada.ca
    • datasets.ai
    • +3more
    csv, html, xml
    Updated Jul 17, 2025
    + more versions
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    Statistics Canada (2025). Canada Mortgage and Housing Corporation, conventional mortgage lending rate, 5-year term [Dataset]. https://open.canada.ca/data/en/dataset/861ae633-be72-480c-9e7e-30219ebb67a9
    Explore at:
    html, xml, csvAvailable download formats
    Dataset updated
    Jul 17, 2025
    Dataset provided by
    Statistics Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

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

  8. d

    Demographic Data Append (Age, Gender, Marital Status, etc) Append API, USA,...

    • datarade.ai
    .json, .csv
    Updated Mar 16, 2023
    + more versions
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    Versium (2023). Demographic Data Append (Age, Gender, Marital Status, etc) Append API, USA, CCPA Compliant [Dataset]. https://datarade.ai/data-products/versium-reach-consumer-basic-demographic-age-gender-mari-versium
    Explore at:
    .json, .csvAvailable download formats
    Dataset updated
    Mar 16, 2023
    Dataset authored and provided by
    Versium
    Area covered
    United States
    Description

    With Versium REACH Demographic Append you will have access to many different attributes for enriching your data.

    Basic, Household and Financial, Lifestyle and Interests, Political and Donor.

    Here is a list of what sorts of attributes are available for each output type listed above:

    Basic: - Senior in Household - Young Adult in Household - Small Office or Home Office - Online Purchasing Indicator
    - Language - Marital Status - Working Woman in Household - Single Parent - Online Education - Occupation - Gender - DOB (MM/YY) - Age Range - Religion - Ethnic Group - Presence of Children - Education Level - Number of Children

    Household, Financial and Auto: - Household Income - Dwelling Type - Credit Card Holder Bank - Upscale Card Holder - Estimated Net Worth - Length of Residence - Credit Rating - Home Own or Rent - Home Value - Home Year Built - Number of Credit Lines - Auto Year - Auto Make - Auto Model - Home Purchase Date - Refinance Date - Refinance Amount - Loan to Value - Refinance Loan Type - Home Purchase Price - Mortgage Purchase Amount - Mortgage Purchase Loan Type - Mortgage Purchase Date - 2nd Most Recent Mortgage Amount - 2nd Most Recent Mortgage Loan Type - 2nd Most Recent Mortgage Date - 2nd Most Recent Mortgage Interest Rate Type - Refinance Rate Type - Mortgage Purchase Interest Rate Type - Home Pool

    Lifestyle and Interests: - Mail Order Buyer - Pets - Magazines - Reading
    - Current Affairs and Politics
    - Dieting and Weight Loss - Travel - Music - Consumer Electronics - Arts
    - Antiques - Home Improvement - Gardening - Cooking - Exercise
    - Sports - Outdoors - Womens Apparel
    - Mens Apparel - Investing - Health and Beauty - Decorating and Furnishing

    Political and Donor: - Donor Environmental - Donor Animal Welfare - Donor Arts and Culture - Donor Childrens Causes - Donor Environmental or Wildlife - Donor Health - Donor International Aid - Donor Political - Donor Conservative Politics - Donor Liberal Politics - Donor Religious - Donor Veterans - Donor Unspecified - Donor Community - Party Affiliation

  9. d

    Financial Services Commission_Original Mortgage Loan and Interest Payment...

    • data.go.kr
    json+xml
    Updated Jul 17, 2025
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    (2025). Financial Services Commission_Original Mortgage Loan and Interest Payment Information [Dataset]. https://www.data.go.kr/en/data/15059589/openapi.do
    Explore at:
    json+xmlAvailable download formats
    Dataset updated
    Jul 17, 2025
    License

    https://data.go.kr/ugs/selectPortalPolicyView.dohttps://data.go.kr/ugs/selectPortalPolicyView.do

    Description

    The mortgage loan original and interest payment information API provides the original and interest payment history inquiry function. The request message includes the year of issuance of the security, and the response message includes the liquidity plan code, ISIN code, bond classification code, MBS detailed classification name, year of issuance of the security, issuance number of the security, tranche code name, announcement start date, announcement category name, announcement title, issuance balance of the security, dividend yield of the security, maturity date of the security, interest payment date of the security, original payment amount of the security, interest payment amount of the security, total payment amount of the security, call option exercise category name, whether the repayment plan has been modified, and repayment plan remarks. The data update cycle is once a day.

  10. F

    Bank Prime Loan Rate

    • fred.stlouisfed.org
    json
    Updated Sep 5, 2025
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    (2025). Bank Prime Loan Rate [Dataset]. https://fred.stlouisfed.org/series/DPRIME
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 5, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Bank Prime Loan Rate (DPRIME) from 1955-08-04 to 2025-09-04 about prime, loans, banks, interest rate, depository institutions, interest, rate, and USA.

  11. d

    Mortgages by nature of the land, months, provinces, interest on loan and...

    • datos.gob.es
    Updated Dec 27, 2012
    + more versions
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    Instituto Nacional de Estadística (2012). Mortgages by nature of the land, months, provinces, interest on loan and number and amount. HPT (API identifier: 3230) [Dataset]. https://datos.gob.es/en/catalogo/ea0010587-hipotecas-por-naturaleza-de-la-finca-meses-provincias-interes-del-prestamo-y-numero-e-importe-hpt-identificador-api-3230
    Explore at:
    Dataset updated
    Dec 27, 2012
    Dataset authored and provided by
    Instituto Nacional de Estadística
    License

    https://www.ine.es/aviso_legalhttps://www.ine.es/aviso_legal

    Description

    Table of INEBase Mortgages by nature of the land, months, provinces, interest on loan and number and amount. Monthly. Mortgages Statistic

  12. S

    SaaS Mortgage Software Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jul 4, 2025
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    Data Insights Market (2025). SaaS Mortgage Software Report [Dataset]. https://www.datainsightsmarket.com/reports/saas-mortgage-software-1951369
    Explore at:
    pdf, doc, pptAvailable download formats
    Dataset updated
    Jul 4, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The SaaS Mortgage Software market is experiencing robust growth, driven by increasing demand for digital transformation within the mortgage industry. The shift towards cloud-based solutions offers lenders significant advantages, including enhanced scalability, cost efficiency, improved collaboration, and streamlined workflows. This transition is fueled by a rising need for faster processing times, reduced operational costs, and better customer experiences in a competitive market. We estimate the market size in 2025 to be approximately $2.5 billion, based on industry analysis and considering the substantial investment in fintech solutions. A compound annual growth rate (CAGR) of 15% is projected for the forecast period (2025-2033), indicating a substantial expansion of the market. This growth is further propelled by increasing adoption of APIs and integrations with other financial systems, fostering a more interconnected and efficient mortgage ecosystem. The market is segmented by software type (loan origination, loan servicing, etc.), deployment model (cloud, on-premise), and end-user (banks, credit unions, etc.), creating opportunities for specialized solutions and targeted marketing.
    Key restraints include the high initial investment costs associated with implementing SaaS solutions, concerns regarding data security and compliance with regulations like GDPR and CCPA, and the need for robust training and support for users transitioning to new systems. However, the long-term benefits significantly outweigh these challenges, especially given the increasing pressure on lenders to enhance efficiency and profitability. The competitive landscape is populated by both established players like Ellie Mae and Black Knight Financial Services, along with emerging fintech companies providing innovative solutions. This dynamic market fosters innovation and continuous improvement in the efficiency and effectiveness of mortgage lending processes. The competitive pressure drives vendors to offer increasingly sophisticated features and competitive pricing strategies, further benefiting consumers and lenders alike.

  13. d

    Financial Services Commission_ Mortgage loan basic asset information

    • data.go.kr
    json+xml
    Updated Jul 16, 2025
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    (2025). Financial Services Commission_ Mortgage loan basic asset information [Dataset]. https://www.data.go.kr/en/data/15059604/openapi.do
    Explore at:
    json+xmlAvailable download formats
    Dataset updated
    Jul 16, 2025
    License

    https://data.go.kr/ugs/selectPortalPolicyView.dohttps://data.go.kr/ugs/selectPortalPolicyView.do

    Description

    The mortgage loan underlying asset information API consists of underlying asset repayment history inquiry, underlying asset delinquency rate inquiry, underlying asset detailed information inquiry, underlying asset securities repayment information inquiry, and underlying asset LTV and DTI inquiry operations. The underlying asset repayment history inquiry function provides loan balance, early repayment amount, interest repayment amount, etc. by base month and issuance year, the underlying asset delinquency rate inquiry function searches for the number of delinquent cases, amount, and delinquency rate of the underlying asset, and the underlying asset detailed information inquiry function can search for interest rates, maturity, collateral information, etc. of individual loans, the underlying asset securities repayment information inquiry function provides the repayment status of each issued MBS, and the underlying asset LTV and DTI inquiry function provides the borrower's loan-to-value (LTV) and debt-to-income (DTI) ratio.

  14. d

    Home Ownership Data | USA Coverage | 74% Right Party Contact Rate |...

    • datarade.ai
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    BatchData, Home Ownership Data | USA Coverage | 74% Right Party Contact Rate | BatchData [Dataset]. https://datarade.ai/data-products/batchservice-home-ownership-data-us-87-million-property-o-batchservice
    Explore at:
    .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset authored and provided by
    BatchData
    Area covered
    United States
    Description

    BatchData provides comprehensive home ownership data for 87 million owners of residential homes in the US. We specialize in providing accurate contact information for owners of specific properties, trusted by some of the largest real estate companies for our superior capabilities in accurately unmasking owners of properties that may be hidden behind LLCs and corporate veils.

    Our home ownership data is commonly used to fuel targeted marketing campaigns, generating real estate insights, powering websites/applications with real estate intelligence, and enriching sales and marketing databases with accurate homeowner contact information and surrounding intelligence to improve segmentation and targeting.

    Home ownership data that is linked to a given property includes: - Homeowner Name(s) - Homeowner Cell Phone Number - Homeowner Email Address - Homeowner Mailing Address - Addresses of Properties Owned - Homeowner Portfolio Equity - Total Number of Properties Owned - Property Characteristics of Properties Owned - Homeowner sales, loan, and mortgage information - Property Occupancy Status of Properties Owned - Property Valuation & ARV information of Properties Owned - Ownership Length - Ownership History - Homeowner Age - Homeowner Marital Status - Homeowner Income - and more!

    BatchService is both a data and technology company helping companies in and around the real estate ecosystem achieve faster growth. BatchService specializes in providing accurate B2B and B2C contact data for US property owners, including in-depth intelligence and actionable insights related to their property. Our portfolio of products, services, and go-to-market expertise help companies identify their target market, reach the right prospects, enrich their data, consolidate their data providers, and power their products and services.

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(2025). 15-Year Fixed Rate Mortgage Average in the United States [Dataset]. https://fred.stlouisfed.org/series/MORTGAGE15US

15-Year Fixed Rate Mortgage Average in the United States

MORTGAGE15US

Explore at:
6 scholarly articles cite this dataset (View in Google Scholar)
jsonAvailable download formats
Dataset updated
Sep 4, 2025
License

https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

Area covered
United States
Description

Graph and download economic data for 15-Year Fixed Rate Mortgage Average in the United States (MORTGAGE15US) from 1991-08-30 to 2025-09-04 about 15-year, mortgage, fixed, interest rate, interest, rate, and USA.

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