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Fixed 30-year mortgage rates in the United States averaged 6.77 percent in the week ending August 1 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.
In May 29, 2019, FHFA published its final Monthly Interest Rate Survey (MIRS), due to dwindling participation by financial institutions. MIRS had provided information on a monthly basis on interest rates, loan terms, and house prices by property type (all, new, previously occupied); by loan type (fixed- or adjustable-rate), and by lender type (savings associations, mortgage companies, commercial banks and savings banks); as well as information on 15-year and 30-year, fixed-rate loans. Additionally, MIRS provided quarterly information on conventional loans by major metropolitan area and by Federal Home Loan Bank district, and was used to compile FHFA’s monthly adjustable-rate mortgage index entitled the “National Average Contract Mortgage Rate for the Purchase of Previously Occupied Homes by Combined Lenders,” also known as the ARM Index.
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30 Year Mortgage Rate in the United States decreased to 6.63 percent in August 7 from 6.72 percent in the previous week. This dataset includes a chart with historical data for the United States 30 Year Mortgage Rate.
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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....
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15 Year Mortgage Rate in the United States decreased to 5.75 percent in August 7 from 5.85 percent in the previous week. This dataset includes a chart with historical data for the United States 15 Year Mortgage Rate.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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The benchmark interest rate in China was last recorded at 3 percent. This dataset provides the latest reported value for - China Interest Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
The FR 2835 collects interest rates on loans for new vehicles and loans for other consumer goods and personal expenses from a sample of commercial banks and the FR 2835a collects interest rates, finance charges, and loan balances for credit card accounts from a sample of commercial banks. The data from these reports help the Board analyze current household financial conditions and the implications of these conditions for household spending and, as such, these data provide valuable input to the monetary policymaking process. The data are also used to create aggregate statistics on consumer loan terms that are published in the Federal Reserve's monthly statistical releases G.19 Consumer Credit and G.20 Finance Companies, and in the Federal Reserve Bulletin. Some of the aggregates are used by the Board in the calculation of the aggregate household debt service and financial obligations ratios for the Federal Reserve's quarterly Financial Obligations statistical release and by the Bureau of Economic Analysis to calculate interest paid by households as part of the National Income and Product Accounts.
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This dataset provides values for 30 YEAR MORTGAGE RATE reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.
Interest rates to be paid on debentures issued with respect to a loan or mortgage insured by the Federal Housing Commissioner under the provisions of the National Housing Act (the Act). The Department will continue to publish semi-annually the debenture interest rate for the next six-month period in the Federal Register. Concurrently with the publication in the Federal Register, the Department will update the list of debenture interest rates.
This dataset contains two sheets showing:
The data was provided to the GLA by the FCA, and the source is FCA Mortgages Performance Product Sales Data (PSD007).
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Source: From lending institutions and local authorities The loan payments dataset stops in 2007. The figures on fixed interest rate mortgages relate to mortgages which provide that the rate of interest may not be changed, or may only be changed at intervals of not less than one year. The most current data is published on these sheets. Previously published data may be subject to revision. Any change from the originally published data will be highlighted by a comment on the cell in question. These comments will be maintained for at least a year after the date of the value change.
Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
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This dataset is a synthetic version inspired by the original Credit Risk dataset on Kaggle and enriched with additional variables based on Financial Risk for Loan Approval data. SMOTENC was used to simulate new data points to enlarge the instances. The dataset is structured for both categorical and continuous features.
The dataset contains 45,000 records and 14 variables, each described below:
Column | Description | Type |
---|---|---|
person_age | Age of the person | Float |
person_gender | Gender of the person | Categorical |
person_education | Highest education level | Categorical |
person_income | Annual income | Float |
person_emp_exp | Years of employment experience | Integer |
person_home_ownership | Home ownership status (e.g., rent, own, mortgage) | Categorical |
loan_amnt | Loan amount requested | Float |
loan_intent | Purpose of the loan | Categorical |
loan_int_rate | Loan interest rate | Float |
loan_percent_income | Loan amount as a percentage of annual income | Float |
cb_person_cred_hist_length | Length of credit history in years | Float |
credit_score | Credit score of the person | Integer |
previous_loan_defaults_on_file | Indicator of previous loan defaults | Categorical |
loan_status (target variable) | Loan approval status: 1 = approved; 0 = rejected | Integer |
The dataset can be used for multiple purposes:
loan_status
variable (approved/not approved) for potential applicants.credit_score
variable based on individual and loan-related attributes. Mind the data issue from the original data, such as the instance > 100-year-old as age.
This dataset provides a rich basis for understanding financial risk factors and simulating predictive modeling processes for loan approval and credit scoring.
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The International Bank for Reconstruction and Development (IBRD) loans are public and publicly guaranteed debt extended by the World Bank Group. IBRD loans are made to, or guaranteed by, countries that are members of IBRD. IBRD may also make loans to IFC. IBRD lends at market rates. Data are in U.S. dollars calculated using historical rates. This dataset contains the latest available snapshot of the Statement of Loans. The World Bank complies with all sanctions applicable to World Bank transactions.
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United States Mortgage Fixed Rate: Mth Avg: 30 Year data was reported at 4.870 % pa in Nov 2018. This records an increase from the previous number of 4.830 % pa for Oct 2018. United States Mortgage Fixed Rate: Mth Avg: 30 Year data is updated monthly, averaging 7.635 % pa from Apr 1971 (Median) to Nov 2018, with 572 observations. The data reached an all-time high of 18.450 % pa in Oct 1981 and a record low of 3.350 % pa in Dec 2012. United States Mortgage Fixed Rate: Mth Avg: 30 Year data remains active status in CEIC and is reported by Federal Home Loan Mortgage Corporation, Freddie Mac. The data is categorized under Global Database’s United States – Table US.M012: Mortgage Interest Rate.
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United States Mortgage Fixed Rate: Mth Avg: 30 Year: Point data was reported at 0.500 % pa in Nov 2018. This stayed constant from the previous number of 0.500 % pa for Oct 2018. United States Mortgage Fixed Rate: Mth Avg: 30 Year: Point data is updated monthly, averaging 1.100 % pa from Jan 1972 (Median) to Nov 2018, with 563 observations. The data reached an all-time high of 2.600 % pa in Sep 1985 and a record low of 0.400 % pa in May 2018. United States Mortgage Fixed Rate: Mth Avg: 30 Year: Point data remains active status in CEIC and is reported by Federal Home Loan Mortgage Corporation, Freddie Mac. The data is categorized under Global Database’s United States – Table US.M012: Mortgage Interest Rate.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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This dataset provides values for MORTGAGE RATE reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.
This table contains 102 series, with data starting from 2013, and some select series starting from 2016. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada), Components (51 items: Total, funds advanced, residential mortgages, insured; Variable rate, insured; Fixed rate, insured, less than 1 year; Fixed rate, insured, from 1 to less than 3 years; ...), and Unit of measure (2 items: Dollars; Interest rate). For additional clarification on the component dimension, please visit the OSFI website for the Report on New and Existing Lending.
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Source: From lending institutions and local authorities
The loan payments dataset stops in 2007.
The figures on fixed interest rate mortgages relate to mortgages which provide that the rate of interest may not be changed, or may only be changed at intervals of not less than one year.
The most current data is published on these sheets. Previously published data may be subject to revision. Any change from the originally published data will be highlighted by a comment on the cell in question. These comments will be maintained for at least a year after the date of the value change.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...).
This dataset contains a wealth of information from 52,000 loan applications, offering detailed insights into the factors that influence loan approval decisions. Collected from financial institutions, this data is highly valuable for credit risk analysis, financial modeling, and predictive analytics. The dataset is particularly useful for anyone interested in applying machine learning techniques to real-world financial decision-making scenarios.
Overview: This dataset provides information about various applicants and the loans they applied for, including their demographic details, income, loan terms, and approval status. By analyzing this data, one can gain an understanding of which factors are most critical for determining the likelihood of loan approval. The dataset can also help in evaluating credit risk and building robust credit scoring systems.
Dataset Columns: Applicant_ID: Unique identifier for each loan application. Gender: Gender of the applicant (Male/Female). Age: Age of the applicant. Marital_Status: Marital status of the applicant (Single/Married). Dependents: Number of dependents the applicant has. Education: Education level of the applicant (Graduate/Not Graduate). Employment_Status: Employment status of the applicant (Employed, Self-Employed, Unemployed). Occupation_Type: Type of occupation, which provides insights into the nature of the applicant’s job (Salaried, Business, Others). Residential_Status: Type of residence (Owned, Rented, Mortgage). City/Town: The city or town where the applicant resides. Annual_Income: The total annual income of the applicant, a key factor in loan eligibility. Monthly_Expenses: The monthly expenses of the applicant, indicating their financial obligations. Credit_Score: The applicant's credit score, reflecting their creditworthiness. Existing_Loans: Number of existing loans the applicant is servicing. Total_Existing_Loan_Amount: The total amount of all existing loans the applicant has. Outstanding_Debt: The remaining amount of debt yet to be paid by the applicant. Loan_History: The applicant’s previous loan history (Good/Bad), indicating their repayment reliability. Loan_Amount_Requested: The loan amount the applicant has applied for. Loan_Term: The term of the loan in months. Loan_Purpose: The purpose of the loan (e.g., Home, Car, Education, Personal, Business). Interest_Rate: The interest rate applied to the loan. Loan_Type: The type of loan (Secured/Unsecured). Co-Applicant: Indicates if there is a co-applicant for the loan (Yes/No). Bank_Account_History: Applicant’s banking history, showing past transactions and reliability. Transaction_Frequency: The frequency of financial transactions in the applicant’s bank account (Low/Medium/High). Default_Risk: The risk level of the applicant defaulting on the loan (Low/Medium/High). Loan_Approval_Status: Final decision on the loan application (Approved/Rejected).
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Fixed 30-year mortgage rates in the United States averaged 6.77 percent in the week ending August 1 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.