100+ datasets found
  1. F

    15-Year Fixed Rate Mortgage Average in the United States

    • fred.stlouisfed.org
    json
    Updated Nov 26, 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
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    jsonAvailable download formats
    Dataset updated
    Nov 26, 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 2025-11-26 about 15-year, mortgage, fixed, interest rate, interest, rate, and USA.

  2. C

    China CN: Lending Rate: Weighted Average: Individual Housing Loan

    • ceicdata.com
    Updated Dec 3, 2025
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    CEICdata.com (2025). China CN: Lending Rate: Weighted Average: Individual Housing Loan [Dataset]. https://www.ceicdata.com/en/china/rediscount-and-lending-rate/cn-lending-rate-weighted-average-individual-housing-loan
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    Dataset updated
    Dec 3, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2022 - Dec 1, 2024
    Area covered
    China
    Variables measured
    Lending Rate
    Description

    China Lending Rate: Weighted Average: Individual Housing Loan data was reported at 3.090 % pa in Dec 2024. This records a decrease from the previous number of 3.310 % pa for Sep 2024. China Lending Rate: Weighted Average: Individual Housing Loan data is updated quarterly, averaging 5.395 % pa from Mar 2009 (Median) to Dec 2024, with 64 observations. The data reached an all-time high of 7.620 % pa in Dec 2011 and a record low of 3.090 % pa in Dec 2024. China Lending Rate: Weighted Average: Individual Housing 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 Market, Interest Rate, Yield and Exchange Rate – Table CN.MA: Rediscount and Lending Rate.

  3. F

    Bank Prime Loan Rate Changes: Historical Dates of Changes and Rates

    • fred.stlouisfed.org
    json
    Updated Oct 31, 2025
    + more versions
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    (2025). Bank Prime Loan Rate Changes: Historical Dates of Changes and Rates [Dataset]. https://fred.stlouisfed.org/series/PRIME
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    jsonAvailable download formats
    Dataset updated
    Oct 31, 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 Changes: Historical Dates of Changes and Rates (PRIME) from 1955-08-04 to 2025-10-30 about prime, loans, interest rate, banks, depository institutions, interest, rate, and USA.

  4. Annual average interest rate on new mortgage loans in Italy 2006-2023

    • statista.com
    Updated Nov 29, 2025
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    Statista, Annual average interest rate on new mortgage loans in Italy 2006-2023 [Dataset]. https://www.statista.com/statistics/916139/annual-average-interest-rate-on-new-residential-loans-in-italy/
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    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Italy
    Description

    The annual average interest rate on new residential loans in Italy rose to **** in 2023 - the highest rate recorded since 2009. In contrast, the lowest interest rate was observed in 2020, when it stood at **** percent.

  5. T

    United States MBA 30-Yr Mortgage Rate

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Nov 26, 2025
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    TRADING ECONOMICS (2025). United States MBA 30-Yr Mortgage Rate [Dataset]. https://tradingeconomics.com/united-states/mortgage-rate
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    xml, excel, json, csvAvailable download formats
    Dataset updated
    Nov 26, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 5, 1990 - Nov 21, 2025
    Area covered
    United States
    Description

    Fixed 30-year mortgage rates in the United States averaged 6.40 percent in the week ending November 21 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.

  6. Annual average interest rate on new mortgage loans in Bulgaria 2007-2024

    • statista.com
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    Statista, Annual average interest rate on new mortgage loans in Bulgaria 2007-2024 [Dataset]. https://www.statista.com/statistics/916064/annual-average-interest-rate-on-new-residential-loans-in-bulgaria/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Bulgaria
    Description

    The annual average interest rate on new residential loans in Bulgaria declined significantly between 2009 and 2024. The latest year under consideration marked the lowest rate on record, at **** percent.

  7. 30-year fixed rate mortgage vs. 10-year treasury yield forecast in the U.S....

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). 30-year fixed rate mortgage vs. 10-year treasury yield forecast in the U.S. 2024-2027 [Dataset]. https://www.statista.com/statistics/275190/ten-year-treasury-constant-maturity-rate-in-the-united-states-as-of-2009/
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    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United States
    Description

    The 10-year treasury constant maturity rate in the U.S. is forecast to increase by *** percentage points by 2027, while the 30-year fixed mortgage rate is expected to fall by *** percentage points. From *** percent in 2024, the average 30-year mortgage rate is projected to reach *** percent in 2027.

  8. Federal Reserve Interest Rates, 1954-Present

    • kaggle.com
    zip
    Updated Mar 16, 2017
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    Federal Reserve (2017). Federal Reserve Interest Rates, 1954-Present [Dataset]. https://www.kaggle.com/federalreserve/interest-rates
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    zip(7069 bytes)Available download formats
    Dataset updated
    Mar 16, 2017
    Dataset provided by
    Federal Reserve Systemhttp://www.federalreserve.gov/
    Authors
    Federal Reserve
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context

    The Federal Reserve sets interest rates to promote conditions that achieve the mandate set by the Congress — high employment, low and stable inflation, sustainable economic growth, and moderate long-term interest rates. Interest rates set by the Fed directly influence the cost of borrowing money. Lower interest rates encourage more people to obtain a mortgage for a new home or to borrow money for an automobile or for home improvement. Lower rates encourage businesses to borrow funds to invest in expansion such as purchasing new equipment, updating plants, or hiring more workers. Higher interest rates restrain such borrowing by consumers and businesses.

    Content

    This dataset includes data on the economic conditions in the United States on a monthly basis since 1954. The federal funds rate is the interest rate at which depository institutions trade federal funds (balances held at Federal Reserve Banks) with each other overnight. The rate that the borrowing institution pays to the lending institution is determined between the two banks; the weighted average rate for all of these types of negotiations is called the effective federal funds rate. The effective federal funds rate is determined by the market but is influenced by the Federal Reserve through open market operations to reach the federal funds rate target. The Federal Open Market Committee (FOMC) meets eight times a year to determine the federal funds target rate; the target rate transitioned to a target range with an upper and lower limit in December 2008. The real gross domestic product is calculated as the seasonally adjusted quarterly rate of change in the gross domestic product based on chained 2009 dollars. The unemployment rate represents the number of unemployed as a seasonally adjusted percentage of the labor force. The inflation rate reflects the monthly change in the Consumer Price Index of products excluding food and energy.

    Acknowledgements

    The interest rate data was published by the Federal Reserve Bank of St. Louis' economic data portal. The gross domestic product data was provided by the US Bureau of Economic Analysis; the unemployment and consumer price index data was provided by the US Bureau of Labor Statistics.

    Inspiration

    How does economic growth, unemployment, and inflation impact the Federal Reserve's interest rates decisions? How has the interest rate policy changed over time? Can you predict the Federal Reserve's next decision? Will the target range set in March 2017 be increased, decreased, or remain the same?

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

    • www150.statcan.gc.ca
    • thelearningbarn.org
    • +3more
    Updated Nov 19, 2025
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    Government of Canada, Statistics Canada (2025). Canada Mortgage and Housing Corporation, conventional mortgage lending rate, 5-year term [Dataset]. http://doi.org/10.25318/3410014501-eng
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    Dataset updated
    Nov 19, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

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

  10. Average mortgage interest rates in the UK 2000-2025, by month and type

    • statista.com
    Updated Sep 14, 2025
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    Statista (2025). Average mortgage interest rates in the UK 2000-2025, by month and type [Dataset]. https://www.statista.com/statistics/386301/uk-average-mortgage-interest-rates/
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    Dataset updated
    Sep 14, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2000 - Oct 2025
    Area covered
    United Kingdom
    Description

    Mortgage rates surged at an unprecedented pace in 2022, with the average 10-year fixed rate doubling between March and December of that year. In response to mounting inflation, the Bank of England implemented a series of rate hikes, pushing borrowing costs steadily higher. By October 2025, the average 10-year fixed mortgage rate stood at **** percent. As financing becomes more expensive, housing demand has cooled, weighing on market sentiment and slowing house price growth. How have the mortgage hikes affected the market? After surging in 2021, the number of residential properties sold fell significantly in 2023, dipping to just above *** million transactions. This contraction in activity also dampened mortgage lending. Between the first quarter of 2023 and the first quarter of 2024, the value of new mortgage loans declined year-on-year for five consecutive quarters. Even as rates eased modestly in 2024 and housing activity picked up slightly, volumes remained well below the highs recorded in 2021. How are higher mortgages impacting homebuyers? For homeowners, the impact is being felt most acutely as fixed-rate deals expire. Mortgage terms in the UK typically range from two to ten years, and many borrowers who locked in historically low rates are now facing significantly higher repayments when refinancing. By the end of 2026, an estimated five million homeowners will see their mortgage deals expire. Roughly two million of these loans are projected to experience a monthly payment increase of up to *** British pounds by 2026, putting additional pressure on household budgets and constraining affordability across the market.

  11. J

    Jamaica Mortgage credit interest rate, percent, July, 2025 - data, chart |...

    • theglobaleconomy.com
    csv, excel, xml
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    Globalen LLC, Jamaica Mortgage credit interest rate, percent, July, 2025 - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/Jamaica/mortgage_interest_rate/
    Explore at:
    excel, csv, xmlAvailable download formats
    Dataset authored and provided by
    Globalen LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1996 - Jul 31, 2025
    Area covered
    Jamaica
    Description

    Mortgage credit interest rate, percent in Jamaica, July, 2025 The most recent value is 7.55 percent as of July 2025, an increase compared to the previous value of 7.54 percent. Historically, the average for Jamaica from January 1996 to July 2025 is 12.97 percent. The minimum of 6.2 percent was recorded in October 2009, while the maximum of 34.71 percent was reached in May 1996. | TheGlobalEconomy.com

  12. R

    Russia Lending Rate: Foreign Currencies Mortgage Loans: YB: SB: Republic of...

    • ceicdata.com
    Updated Jan 15, 2025
    + more versions
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    CEICdata.com (2025). Russia Lending Rate: Foreign Currencies Mortgage Loans: YB: SB: Republic of Tyva [Dataset]. https://www.ceicdata.com/en/russia/lending-rate-foreign-currencies-housing-loans-ow-mortgage-by-region-average-from-year-beginning/lending-rate-foreign-currencies-mortgage-loans-yb-sb-republic-of-tyva
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2008 - Dec 1, 2009
    Area covered
    Russia
    Variables measured
    Lending Rate
    Description

    Lending Rate: Foreign Currencies Mortgage Loans: YB: SB: Republic of Tyva data was reported at 8.800 % pa in Dec 2009. This stayed constant from the previous number of 8.800 % pa for Nov 2009. Lending Rate: Foreign Currencies Mortgage Loans: YB: SB: Republic of Tyva data is updated monthly, averaging 8.800 % pa from Dec 2008 (Median) to Dec 2009, with 4 observations. The data reached an all-time high of 9.800 % pa in Dec 2008 and a record low of 8.800 % pa in Dec 2009. Lending Rate: Foreign Currencies Mortgage Loans: YB: SB: Republic of Tyva data remains active status in CEIC and is reported by Bank of Russia. The data is categorized under Russia Premium Database’s Interest and Foreign Exchange Rates – Table RU.MB012: Lending Rate: Foreign Currencies Housing Loans: ow Mortgage: by Region: Average from Year Beginning.

  13. U

    Ukraine Mortgage credit interest rate, percent, September, 2025 - data,...

    • theglobaleconomy.com
    csv, excel, xml
    Updated Sep 15, 2025
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    Globalen LLC (2025). Ukraine Mortgage credit interest rate, percent, September, 2025 - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/Ukraine/mortgage_interest_rate/
    Explore at:
    csv, excel, xmlAvailable download formats
    Dataset updated
    Sep 15, 2025
    Dataset authored and provided by
    Globalen LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Feb 28, 2006 - Sep 30, 2025
    Area covered
    Ukraine
    Description

    Mortgage credit interest rate, percent in Ukraine, September, 2025 The most recent value is 8.57 percent as of September 2025, an increase compared to the previous value of 8.45 percent. Historically, the average for Ukraine from February 2006 to September 2025 is 15.09 percent. The minimum of 0.03 percent was recorded in March 2022, while the maximum of 26.75 percent was reached in March 2009. | TheGlobalEconomy.com

  14. T

    Mexico Interest Rate

    • tradingeconomics.com
    • fr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Sep 26, 2025
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    TRADING ECONOMICS (2025). Mexico Interest Rate [Dataset]. https://tradingeconomics.com/mexico/interest-rate
    Explore at:
    excel, json, csv, xmlAvailable download formats
    Dataset updated
    Sep 26, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Oct 14, 2005 - Nov 6, 2025
    Area covered
    Mexico
    Description

    The benchmark interest rate in Mexico was last recorded at 7.25 percent. This dataset provides - Mexico Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  15. R

    Russia Lending Rate: RUB Mortgage Loans: YB: SF: Republic of Kalmykia

    • ceicdata.com
    + more versions
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    CEICdata.com, Russia Lending Rate: RUB Mortgage Loans: YB: SF: Republic of Kalmykia [Dataset]. https://www.ceicdata.com/en/russia/lending-rate-rub-housing-loans-ow-mortgage-by-region-average-from-year-beginning/lending-rate-rub-mortgage-loans-yb-sf-republic-of-kalmykia
    Explore at:
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Feb 1, 2024 - Jan 1, 2025
    Area covered
    Russia
    Variables measured
    Lending Rate
    Description

    Lending Rate: RUB Mortgage Loans: YB: SF: Republic of Kalmykia data was reported at 8.140 % pa in Mar 2025. This records a decrease from the previous number of 8.860 % pa for Feb 2025. Lending Rate: RUB Mortgage Loans: YB: SF: Republic of Kalmykia data is updated monthly, averaging 11.830 % pa from Dec 2008 (Median) to Mar 2025, with 196 observations. The data reached an all-time high of 18.380 % pa in Feb 2009 and a record low of 0.000 % pa in Jan 2009. Lending Rate: RUB Mortgage Loans: YB: SF: Republic of Kalmykia data remains active status in CEIC and is reported by Bank of Russia. The data is categorized under Russia Premium Database’s Interest and Foreign Exchange Rates – Table RU.MB010: Lending Rate: RUB Housing Loans: ow Mortgage: by Region: Average from Year Beginning.

  16. T

    Germany Interest Rate

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Germany Interest Rate [Dataset]. https://tradingeconomics.com/germany/interest-rate
    Explore at:
    csv, xml, excel, jsonAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 18, 1998 - Oct 31, 2025
    Area covered
    Germany
    Description

    The benchmark interest rate in Germany was last recorded at 4.50 percent. This dataset provides - Germany Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  17. T

    Canada Interest Rate

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Oct 29, 2025
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    TRADING ECONOMICS (2025). Canada Interest Rate [Dataset]. https://tradingeconomics.com/canada/interest-rate
    Explore at:
    csv, xml, json, excelAvailable download formats
    Dataset updated
    Oct 29, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Feb 7, 1990 - Oct 29, 2025
    Area covered
    Canada
    Description

    The benchmark interest rate in Canada was last recorded at 2.25 percent. This dataset provides - Canada Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  18. Prosper Loan Data

    • kaggle.com
    zip
    Updated Oct 12, 2022
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    Henry Okam (2022). Prosper Loan Data [Dataset]. https://www.kaggle.com/datasets/henryokam/prosper-loan-data
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    zip(23591647 bytes)Available download formats
    Dataset updated
    Oct 12, 2022
    Authors
    Henry Okam
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    This dataset contains the customer's data from a loan company known as Prosper. This dataset comprises of 113,937 loans with 81 variables on each loan, including loan amount, borrower rate (or interest rate), current loan status, borrower income, and many others.

    Definition of Variables:

    ListingKey: Unique key for each listing, same value as the 'key' used in the listing object in the API. ListingNumber: The number that uniquely identifies the listing to the public as displayed on the website. ListingCreationDate: The date the listing was created. CreditGrade: The Credit rating that was assigned at the time the listing went live. Applicable for listings pre-2009 period and will only be populated for those listings. Term: The length of the loan expressed in months. LoanStatus: The current status of the loan: Cancelled, Chargedoff, Completed, Current, Defaulted, FinalPaymentInProgress, PastDue. The PastDue status will be accompanied by a delinquency bucket. ClosedDate: Closed date is applicable for Cancelled, Completed, Chargedoff and Defaulted loan statuses. BorrowerAPR: The Borrower's Annual Percentage Rate (APR) for the loan. BorrowerRate: The Borrower's interest rate for this loan. LenderYield: The Lender yield on the loan. Lender yield is equal to the interest rate on the loan less the servicing fee. EstimatedEffectiveYield: Effective yield is equal to the borrower interest rate (i) minus the servicing fee rate, (ii) minus estimated uncollected interest on charge-offs, (iii) plus estimated collected late fees. Applicable for loans originated after July 2009. EstimatedLoss: Estimated loss is the estimated principal loss on charge-offs. Applicable for loans originated after July 2009. EstimatedReturn: The estimated return assigned to the listing at the time it was created. Estimated return is the difference between the Estimated Effective Yield and the Estimated Loss Rate. Applicable for loans originated after July 2009. ProsperRating (numeric): The Prosper Rating assigned at the time the listing was created: 0 - N/A, 1 - HR, 2 - E, 3 - D, 4 - C, 5 - B, 6 - A, 7 - AA. Applicable for loans originated after July 2009. ProsperRating (Alpha): The Prosper Rating assigned at the time the listing was created between AA - HR. Applicable for loans originated after July 2009. ProsperScore: A custom risk score built using historical Prosper data. The score ranges from 1-10, with 10 being the best, or lowest risk score. Applicable for loans originated after July 2009. ListingCategory: The category of the listing that the borrower selected when posting their listing: 0 - Not Available, 1 - Debt Consolidation, 2 - Home Improvement, 3 - Business, 4 - Personal Loan, 5 - Student Use, 6 - Auto, 7- Other, 8 - Baby&Adoption, 9 - Boat, 10 - Cosmetic Procedure, 11 - Engagement Ring, 12 - Green Loans, 13 - Household Expenses, 14 - Large Purchases, 15 - Medical/Dental, 16 - Motorcycle, 17 - RV, 18 - Taxes, 19 - Vacation, 20 - Wedding Loans BorrowerState: The two letter abbreviation of the state of the address of the borrower at the time the Listing was created. Occupation: The Occupation selected by the Borrower at the time they created the listing. EmploymentStatus: The employment status of the borrower at the time they posted the listing. EmploymentStatusDuration: The length in months of the employment status at the time the listing was created. IsBorrowerHomeowner: A Borrower will be classified as a homowner if they have a mortgage on their credit profile or provide documentation confirming they are a homeowner. CurrentlyInGroup: Specifies whether or not the Borrower was in a group at the time the listing was created. GroupKey: The Key of the group in which the Borrower is a member of. Value will be null if the borrower does not have a group affiliation. DateCreditPulled: The date the credit profile was pulled. CreditScoreRangeLower: The lower value representing the range of the borrower's credit score as provided by a consumer credit rating agency. CreditScoreRangeUpper: The upper value representing the range of the borrower's credit score as provided by a consumer credit rating agency. FirstRecordedCreditLine: The date the first credit line was opened. CurrentCreditLines: Number of current credit lines at the time the credit profile was pulled. OpenCreditLines: Number of open credit lines at the time the credit profile was pulled. TotalCreditLinespast7years: Number of credit lines in the past seven years at the time the credit profile was pulled. OpenRevolvingAccounts: Number of open revolving accounts at the time the credit profile was pulled. OpenRevolvingMonthlyPayment: Monthly payment on revolving accounts at the time the credit profile was pulled. InquiriesLast6Months: Number of inquiries in the past six months at the time the cre...

  19. Federal Reserve

    • kaggle.com
    zip
    Updated Mar 28, 2025
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    willian oliveira (2025). Federal Reserve [Dataset]. https://www.kaggle.com/datasets/willianoliveiragibin/federal-reserve
    Explore at:
    zip(4672 bytes)Available download formats
    Dataset updated
    Mar 28, 2025
    Authors
    willian oliveira
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    The interest rate set by the Federal Reserve is a crucial tool for promoting economic conditions that meet the mandate established by the United States Congress, which includes high employment, low and stable inflation, sustainable economic growth, and the moderation of long-term interest rates. The interest rates determined by the Fed directly influence the cost of credit, making financing either more accessible or more restrictive. When interest rates are low, there is a greater incentive for consumers to purchase homes through mortgages, finance automobiles, or undertake home renovations. Additionally, businesses are encouraged to invest in expanding their operations, whether by purchasing new equipment, modernizing facilities, or hiring more workers. Conversely, higher interest rates tend to curb such activity, discouraging borrowing and slowing economic expansion.

    The dataset analyzed contains information on the economic conditions in the United States on a monthly basis since 1954, including the federal funds rate, which represents the percentage at which financial institutions trade reserves held at the Federal Reserve with each other in the interbank market overnight. This rate is determined by the market but is directly influenced by the Federal Reserve through open market operations to reach the established target. The Federal Open Market Committee (FOMC) meets eight times a year to determine the federal funds rate target, which has been defined within a range with upper and lower limits since December 2008.

    Furthermore, real Gross Domestic Product (GDP) is calculated based on the seasonally adjusted quarterly rate of change in the economy, using chained 2009 dollars as a reference. The unemployment rate represents the seasonally adjusted percentage of the labor force that is unemployed. Meanwhile, the inflation rate is determined by the monthly change in the Consumer Price Index, excluding food and energy prices for a more stable analysis of core inflation.

    The interest rate data was sourced from the Federal Reserve Bank of St. Louis' economic data portal, while GDP information was provided by the U.S. Bureau of Economic Analysis, and unemployment and inflation data were made available by the U.S. Bureau of Labor Statistics.

    The analysis of this data helps to understand how economic growth, the unemployment rate, and inflation influence the Federal Reserve’s monetary policy decisions. Additionally, it allows for a study of the evolution of interest rate policies over time and raises the question of how predictable the Fed’s future decisions may be. Based on observed trends, it is possible to speculate whether the target range set in March 2017 will be maintained, lowered, or increased, considering the prevailing economic context and the challenges faced in conducting U.S. monetary policy.

  20. Great Recession: delinquency rate by loan type in the U.S. 2007-2010

    • statista.com
    Updated Oct 28, 2022
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    Statista (2022). Great Recession: delinquency rate by loan type in the U.S. 2007-2010 [Dataset]. https://www.statista.com/statistics/1342448/global-financial-crisis-us-economic-indicators/
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    Dataset updated
    Oct 28, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2007 - 2012
    Area covered
    United States
    Description

    The Global Financial Crisis of 2008-09 was a period of severe macroeconomic instability for the United States and the global economy more generally. The crisis was precipitated by the collapse of a number of financial institutions who were deeply involved in the U.S. mortgage market and associated credit markets. Beginning in the Summer of 2007, a number of banks began to report issues with increasing mortgage delinquencies and the problem of not being able to accurately price derivatives contracts which were based on bundles of these U.S. residential mortgages. By the end of 2008, U.S. financial institutions had begun to fail due to their exposure to the housing market, leading to one of the deepest recessions in the history of the United States and to extensive government bailouts of the financial sector.

    Subprime and the collapse of the U.S. mortgage market

    The early 2000s had seen explosive growth in the U.S. mortgage market, as credit became cheaper due to the Federal Reserve's decision to lower interest rates in the aftermath of the 2001 'Dot Com' Crash, as well as because of the increasing globalization of financial flows which directed funds into U.S. financial markets. Lower mortgage rates gave incentive to financial institutions to begin lending to riskier borrowers, using so-called 'subprime' loans. These were loans to borrowers with poor credit scores, who would not have met the requirements for a conventional mortgage loan. In order to hedge against the risk of these riskier loans, financial institutions began to use complex financial instruments known as derivatives, which bundled mortgage loans together and allowed the risk of default to be sold on to willing investors. This practice was supposed to remove the risk from these loans, by effectively allowing credit institutions to buy insurance against delinquencies. Due to the fraudulent practices of credit ratings agencies, however, the price of these contacts did not reflect the real risk of the loans involved. As the reality of the inability of the borrowers to repay began to kick in during 2007, the financial markets which traded these derivatives came under increasing stress and eventually led to a 'sudden stop' in trading and credit intermediation during 2008.

    Market Panic and The Great Recession

    As borrowers failed to make repayments, this had a knock-on effect among financial institutions who were highly leveraged with financial instruments based on the mortgage market. Lehman Brothers, one of the world's largest investment banks, failed on September 15th 2008, causing widespread panic in financial markets. Due to the fear of an unprecedented collapse in the financial sector which would have untold consequences for the wider economy, the U.S. government and central bank, The Fed, intervened the following day to bailout the United States' largest insurance company, AIG, and to backstop financial markets. The crisis prompted a deep recession, known colloquially as The Great Recession, drawing parallels between this period and The Great Depression. The collapse of credit intermediation in the economy lead to further issues in the real economy, as business were increasingly unable to pay back loans and were forced to lay off staff, driving unemployment to a high of almost 10 percent in 2010. While there has been criticism of the U.S. government's actions to bailout the financial institutions involved, the actions of the government and the Fed are seen by many as having prevented the crisis from spiraling into a depression of the magnitude of The Great Depression.

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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

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6 scholarly articles cite this dataset (View in Google Scholar)
jsonAvailable download formats
Dataset updated
Nov 26, 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 2025-11-26 about 15-year, mortgage, fixed, interest rate, interest, rate, and USA.

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