30 Year Mortgage Rate in the United States decreased to 6.23 percent in November 26 from 6.26 percent in the previous week. This dataset includes a chart with historical data for the United States 30 Year Mortgage Rate.

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.

The benchmark interest rate in Sweden was last recorded at 1.75 percent. This dataset provides the latest reported value for - Sweden Interest Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

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?

Lower Limit of First Home Mortgage Rate: above LPR: Beijing data was reported at -0.450 % Point in 02 Dec 2025. This stayed constant from the previous number of -0.450 % Point for 01 Dec 2025. Lower Limit of First Home Mortgage Rate: above LPR: Beijing data is updated daily, averaging 0.550 % Point from Oct 2019 (Median) to 02 Dec 2025, with 2248 observations. The data reached an all-time high of 0.550 % Point in 25 Jun 2024 and a record low of -0.450 % Point in 02 Dec 2025. Lower Limit of First Home Mortgage Rate: above LPR: Beijing 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: Lower Limit of First Home Mortgage Rate: Prefecture Level City. After adjustment on December 15, 2023: the lower limits of the first and second sets of interest rate policies in the six districts of the city are respectively no less than the market quoted interest rate for loans of the corresponding period plus 10 basis points, and no less than the market quoted interest rate for loans of the corresponding period plus 60 basis points; The lower limits of the first and second sets of interest rate policies in the six non-urban districts are not lower than the market quoted interest rate for loans of the corresponding period, and not lower than the market quoted interest rate for loans of the corresponding period plus 55 basis points.

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.

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.

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

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...

Lower Limit of First Home Mortgage Rate: above LPR: Fujian: Fuzhou data was reported at -0.200 % Point in 02 Apr 2024. This stayed constant from the previous number of -0.200 % Point for 01 Apr 2024. Lower Limit of First Home Mortgage Rate: above LPR: Fujian: Fuzhou data is updated daily, averaging 0.000 % Point from Oct 2019 (Median) to 02 Apr 2024, with 1639 observations. The data reached an all-time high of 0.000 % Point in 18 May 2022 and a record low of -0.200 % Point in 02 Apr 2024. Lower Limit of First Home Mortgage Rate: above LPR: Fujian: Fuzhou 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: Lower Limit of First Home Mortgage Rate: Prefecture Level City.

The benchmark interest rate in Norway was last recorded at 4 percent. This dataset provides the latest reported value for - Norway Interest Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Lower Limit of First Home Mortgage Rate: above LPR: Fujian: Zhangzhou data was reported at -0.500 % Point in 28 May 2024. This stayed constant from the previous number of -0.500 % Point for 27 May 2024. Lower Limit of First Home Mortgage Rate: above LPR: Fujian: Zhangzhou data is updated daily, averaging 0.000 % Point from Oct 2019 (Median) to 28 May 2024, with 1695 observations. The data reached an all-time high of 0.000 % Point in 18 May 2022 and a record low of -0.500 % Point in 28 May 2024. Lower Limit of First Home Mortgage Rate: above LPR: Fujian: Zhangzhou 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: Lower Limit of First Home Mortgage Rate: Prefecture Level City.

1. Borrower’s Demographics

age (int64) – Borrower's age (in years).

gender (category) – Borrower's gender (Male/Female).

marital_status (category) – Marital status (Single, Married, Divorced).

education_level (category) – Education level (High School, Bachelor, Master, PhD).

2. Financial Information

annual_income (float64) – Borrower's yearly income.

monthly_income (float64) – Borrower's monthly income.

employment_status (category) – Current employment type (Employed, Self-Employed, Unemployed).

debt_to_income_ratio (float64) – Ratio of borrower’s debt to their income. Lower = better.

credit_score (int64) – Credit bureau score (e.g., FICO). Higher = less risky.

3. Loan Information

loan_amount (float64) – Amount of loan taken.

loan_purpose (category) – Loan purpose (Car, Education, Home, Medical, etc.).

interest_rate (float64) – Loan par annual interest rate (%).

loan_term (int64) – Loan repayment duration (months, e.g., 36 or 60).

installment (float64) – Monthly installment .

grade_subgrade (category) – Risk category assigned to loan (A1, B2, etc.).

4. Borrower’s Credit History

num_of_open_accounts (int64) – Total active credit accounts.

total_credit_limit (float64) – Borrower's total available credit limit.

current_balance (float64) – Borrower's outstanding balance (loan + credit card).

delinquency_history (int64) – Count of late payments in borrower’s history.

public_records (int64) – Negative public records (e.g., bankruptcies, legal actions).

num_of_delinquencies (int64) – Total delinquencies (missed payments).

5. Target Variable

loan_paid_back (int64) – Target variable:

1 → Borrower paid loan in full.

0 → Borrower defaulted (did not repay fully).

Lower Limit of First Home Mortgage Rate: above LPR: Fujian: Ningde data was reported at -0.200 % Point in 28 May 2024. This stayed constant from the previous number of -0.200 % Point for 27 May 2024. Lower Limit of First Home Mortgage Rate: above LPR: Fujian: Ningde data is updated daily, averaging 0.000 % Point from Oct 2019 (Median) to 28 May 2024, with 1695 observations. The data reached an all-time high of 0.000 % Point in 18 May 2022 and a record low of -0.200 % Point in 28 May 2024. Lower Limit of First Home Mortgage Rate: above LPR: Fujian: Ningde 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: Lower Limit of First Home Mortgage Rate: Prefecture Level City.

Mortgage Rate in Sweden decreased to 2.80 percent in September from 2.84 percent in August of 2025. This dataset includes a chart with historical data for Sweden Average Interest Rate on New Agreements for Mortgages to Households.

The benchmark interest rate in India was last recorded at 5.50 percent. This dataset provides - India Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Lower Limit of First Home Mortgage Rate: Base Rate Discount: Hunan: Changde data was reported at 70.000 % in 07 Oct 2019. This stayed constant from the previous number of 70.000 % for 06 Oct 2019. Lower Limit of First Home Mortgage Rate: Base Rate Discount: Hunan: Changde data is updated daily, averaging 70.000 % from Jan 2019 (Median) to 07 Oct 2019, with 280 observations. The data reached an all-time high of 70.000 % in 07 Oct 2019 and a record low of 70.000 % in 07 Oct 2019. Lower Limit of First Home Mortgage Rate: Base Rate Discount: Hunan: Changde 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: Lower Limit of First Home Mortgage Rate: Prefecture Level City.

Dataset underlying the Seniors First reverse mortgage comparison widget. Displays indicative rate types, features, and eligibility details for multiple Australian reverse-mortgage providers. Data is aggregated and refreshed periodically for consumer education.

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.

Lower Limit of First Home Mortgage Rate: Base Rate Discount: Fujian: Zhangzhou data was reported at 70.000 % in 07 Oct 2019. This stayed constant from the previous number of 70.000 % for 06 Oct 2019. Lower Limit of First Home Mortgage Rate: Base Rate Discount: Fujian: Zhangzhou data is updated daily, averaging 70.000 % from Jan 2019 (Median) to 07 Oct 2019, with 280 observations. The data reached an all-time high of 70.000 % in 07 Oct 2019 and a record low of 70.000 % in 07 Oct 2019. Lower Limit of First Home Mortgage Rate: Base Rate Discount: Fujian: Zhangzhou 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: Lower Limit of First Home Mortgage Rate: Prefecture Level City.