View weekly updates and historical trends for 30 Year Mortgage Rate. from United States. Source: Freddie Mac. Track economic data with YCharts analytics.

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.

Graph and download economic data for 30-Year Fixed Rate FHA Mortgage Index (OBMMIFHA30YF) from 2017-01-03 to 2025-12-01 about FHA, 30-year, mortgage, fixed, rate, indexes, and USA.

View weekly updates and historical trends for 15 Year Mortgage Rate. from United States. Source: Freddie Mac. Track economic data with YCharts analytics.

Graph and download economic data for 30-Year Fixed Rate Jumbo Mortgage Index (OBMMIJUMBO30YF) from 2017-01-03 to 2025-12-01 about jumbo, 30-year, mortgage, fixed, rate, indexes, and USA.

Graph and download economic data for 30-Year Fixed Rate Veterans Affairs Mortgage Index (OBMMIVA30YF) from 2017-01-03 to 2025-12-01 about veterans, 30-year, mortgage, fixed, rate, indexes, and USA.

View daily updates and historical trends for 30 Year Fixed Rate FHA Mortgage Index. from United States. Source: Optimal Blue. Track economic data with YCh…

Graph and download economic data for 30-Year Fixed Rate USDA Mortgage Index (OBMMIUSDA30YF) from 2017-01-03 to 2025-12-01 about USDA, 30-year, mortgage, fixed, rate, indexes, and USA.

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.

Following the drastic increase directly after the COVID-19 pandemic, the delinquency rate started to gradually decline, falling below *** percent in the second quarter of 2023. In the second half of 2023, the delinquency rate picked up but remained stable throughout 2024. In the second quarter of 2025, **** percent of mortgage loans were delinquent. That was significantly lower than the **** percent during the onset of the COVID-19 pandemic in 2020 or the peak of *** percent during the subprime mortgage crisis of 2007-2010. What does the mortgage delinquency rate tell us? The mortgage delinquency rate is the share of the total number of mortgaged home loans in the U.S. where payment is overdue by 30 days or more. Many borrowers eventually manage to service their loan, though, as indicated by the markedly lower foreclosure rates. Total home mortgage debt in the U.S. stood at almost ** trillion U.S. dollars in 2024. Not all mortgage loans are made equal ‘Subprime’ loans, being targeted at high-risk borrowers and generally coupled with higher interest rates to compensate for the risk. These loans have far higher delinquency rates than conventional loans. Defaulting on such loans was one of the triggers for the 2007-2010 financial crisis, with subprime delinquency rates reaching almost ** percent around this time. These higher delinquency rates translate into higher foreclosure rates, which peaked at just under ** percent of all subprime mortgages in 2011.

Large Bank Mortgage Balances - 30+ Days Past Due Rates - Historical chart and current data through 2025.

Brazil Swap Rate: Interbank Deposit & Fixed Rate: Monthly Average: 30 days data was reported at 6.389 % pa in Jun 2019. This records a decrease from the previous number of 6.406 % pa for May 2019. Brazil Swap Rate: Interbank Deposit & Fixed Rate: Monthly Average: 30 days data is updated monthly, averaging 12.185 % pa from Mar 2001 (Median) to Jun 2019, with 220 observations. The data reached an all-time high of 26.630 % pa in Mar 2003 and a record low of 6.337 % pa in May 2018. Brazil Swap Rate: Interbank Deposit & Fixed Rate: Monthly Average: 30 days data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Interest and Foreign Exchange Rates – Table BR.ME002: Interest Rate Swap: Monthly Average.

Key information about New Zealand Long Term Interest Rate

• New Zealand Government Bond Yield: 10 Years was reported at 4.36 % pa in Nov 2025, compared with 4.06 % pa in the previous month.
• New Zealand Long Term Interest Rate data is updated monthly, available from Jan 1985 to Nov 2025.
• The data reached an all-time high of 18.90 % pa in Mar 1986 and a record low of 0.51 % pa in Sep 2020.
• Long Term Interest Rate is reported by reported by Reserve Bank of New Zealand.

CEIC calculates monthly Long Term Interest Rate from daily 10 year Government Bond Yield. The Reserve Bank of New Zealand provides 10 year Treasury Bond Yield. Long Term Interest Rate prior to March 1985 is sourced directly from Reserve Bank of New Zealand.. The ten-year benchmark for New Zealand Government bonds with a fixed interest coupon paid semi-annually in arrears. The bonds are redeemable at par on maturity.


Related information about New Zealand Long Term Interest Rate

• In the latest reports, New Zealand Short Term Interest Rate: Month End: New Zealand: Bank Accepted Bills: 90 Days was reported at 2.45 % pa in Nov 2025.
• The cash rate (Policy Rate: Month End: New Zealand: Official Cash Rate) was set at 2.25 % pa in Nov 2025.
• New Zealand Exchange Rate against USD averaged 1.73 (USD/NZD) in Oct 2025.

Description

This data set represents thousands of loans made through the Lending Club platform, which is a platform that allows individuals to lend to other individuals. Of course, not all loans are created equal. Someone who is a essentially a sure bet to pay back a loan will have an easier time getting a loan with a low interest rate than someone who appears to be riskier. And for people who are very risky? They may not even get a loan offer, or they may not have accepted the loan offer due to a high interest rate. It is important to keep that last part in mind, since this data set only represents loans actually made, i.e. do not mistake this data for loan applications!

Format

A data frame with 10,000 observations on the following 55 variables.

emp_title

Job title.

emp_length

Number of years in the job, rounded down. If longer than 10 years, then this is represented by the value 10.

state

Two-letter state code.

homeownership

The ownership status of the applicant's residence.

annual_income

Annual income.

verified_income

Type of verification of the applicant's income.

debt_to_income

Debt-to-income ratio.

annual_income_joint

If this is a joint application, then the annual income of the two parties applying.

verification_income_joint

Type of verification of the joint income.

debt_to_income_joint

Debt-to-income ratio for the two parties.

delinq_2y

Delinquencies on lines of credit in the last 2 years.

months_since_last_delinq

Months since the last delinquency.

earliest_credit_line

Year of the applicant's earliest line of credit

inquiries_last_12m

Inquiries into the applicant's credit during the last 12 months.

total_credit_lines

Total number of credit lines in this applicant's credit history.

open_credit_lines

Number of currently open lines of credit.

total_credit_limit

Total available credit, e.g. if only credit cards, then the total of all the credit limits. This excludes a mortgage.

total_credit_utilized

Total credit balance, excluding a mortgage.

num_collections_last_12m

Number of collections in the last 12 months. This excludes medical collections.

num_historical_failed_to_pay

The number of derogatory public records, which roughly means the number of times the applicant failed to pay.

months_since_90d_late

Months since the last time the applicant was 90 days late on a payment.

current_accounts_delinq

Number of accounts where the applicant is currently delinquent.

total_collection_amount_ever

The total amount that the applicant has had against them in collections.

current_installment_accounts

Number of installment accounts, which are (roughly) accounts with a fixed payment amount and period. A typical example might be a 36-month car loan.

accounts_opened_24m

Number of new lines of credit opened in the last 24 months.

months_since_last_credit_inquiry

Number of months since the last credit inquiry on this applicant.

num_satisfactory_accounts

Number of satisfactory accounts.

num_accounts_120d_past_due

Number of current accounts that are 120 days past due.

num_accounts_30d_past_due

Number of current accounts that are 30 days past due.

num_active_debit_accounts

Number of currently active bank cards.

total_debit_limit

Total of all bank card limits.

num_total_cc_accounts

Total number of credit card accounts in the applicant's history.

num_open_cc_accounts

Total number of currently open credit card accounts.

num_cc_carrying_balance

Number of credit cards that are carrying a balance.

num_mort_accounts

Number of mortgage accounts.

account_never_delinq_percent

Percent of all lines of credit where the applicant was never delinquent.

tax_liens

a numeric vector

public_record_bankrupt

Number of bankruptcies listed in the public record for this applicant.

loan_purpose

The category for the purpose of the loan.

application_type

The type of application: either individual or joint.

loan_amount

The amount of the loan the applicant received.

term

The number of months of the loan the applicant received.

interest_rate

Interest rate of the loan the applicant received.

installment

Monthly payment for the loan the applicant received.

grade

Grade associated with the loan.

sub_grade

Detailed grade associated with the loan.

issue_month

Month the loan was issued.

loan_status

Status of the loan.

initial_listing_status

Initial listing status of the loan. (I think this has to do with whether the lender provided the entire loan or if the loan is across multiple lenders.)

disbursement_method

Dispersement method of the loan.

balance

Current...

Track real-time 10 Year Treasury Rate yields and explore historical trends from year start to today. View interactive yield curve data with YCharts.

This dataset provides a rich, time-series view of how key macroeconomic indicators have shaped the U.S. housing market over the last 20 years. It is built around the S&P Case-Shiller U.S. National Home Price Index (CSUSHPISA) — a widely trusted benchmark for tracking national home price trends — and enhanced with a curated selection of economic factors sourced from the Federal Reserve Economic Database (FRED).

What's Inside? The dataset spans January 2004 to June 2024 (monthly frequency), and includes the following: Feature Description

Home_Price_Index Case-Shiller Home Price Index (target)
Interest_Rate Federal Funds Rate
Mortgage_Rate 30-Year Fixed Mortgage Average
Unemployment_Rate National unemployment rate
Median_Income Median personal income (annual, forward-filled monthly) Inflation_CPI Consumer Price Index
Building_Permits Housing construction permit approvals
Housing_Starts New housing construction starts
US_Population Monthly estimated population
Consumer_Sentiment University of Michigan Consumer Sentiment Index

In addition to these core features, we’ve added: --Lag features (1-month, 3-month) to capture trend memory --Rolling averages to smooth volatility --Ratios like income-to-mortgage and permit-to-population --Percentage change columns to measure economic shifts over time These transformations make the dataset ideal for predictive modeling, exploratory data analysis, and economic storytelling.

Source --All raw data was retrieved via FRED (Federal Reserve Economic Data), ensuring official, up-to-date, and well-maintained inputs.

Use Cases --Time series forecasting (e.g., Ridge, ARIMA, XGBoost) --Macroeconomic trend analysis --Housing market dashboards --Educational projects on feature engineering --Model interpretability experiments

Frequency --All data is aggregated/resampled to monthly granularity for consistency.

License CC BY 4.0 — free to use with attribution

Car loan interest rates in the United States decreased since mid-2024. Thus, the period of rapidly rising interest rates, when they increased from 3.85 percent in December 2021 to 7.92 percent in June 2024, has come to an end. The Federal Reserve interest rate is one of the main causes of the interest rates of loans rising or falling. If inflation stays under control, the Federal Reserve will start cutting the interest rates, which would have the effect of the cost of car loans falling too. How many cars have financing in the United States? Car financing exists because not everyone who wants or needs a car can purchase it outright. A financial institution will then lend the money to the customer for purchasing the car, which must then be repaid with interest. Most new vehicles in the United States in 2024 were purchased using car loans. It is not as common to use car loans for purchasing used vehicles as for new ones, although over a third of used vehicles were purchased using loans. The car industry in the United States The car financing business is huge in the United States, due to the high sales of both new and used vehicles in the country. A lot of the United States is very car-centric, which means that, outside large cities, it can often be difficult to do their daily commutes through other transportation methods. In fact, only a small percentage of U.S. workers used public transport to go to work. That is one of the factors that has helped establish the importance of the automotive sector in North America. Nevertheless, there are still countries in Asia-Pacific, Africa, the Middle East, and Europe with higher car-ownership rates than the United States.

The delinquency rate on real estate loans at commercial banks in the United States rose slightly between the fourth quarter of 2022 and the fourth quarter of 2024. Nevertheless, delinquencies remained below the 2020 levels, when the share of loans past due 30 days rose due to the COVID-19 pandemic. Recently, the gap between residential and commercial real estate loans has narrowed, with the delinquency rate for commercial real estate rising faster than for residential.

BackgroundWhere the data come fromThe Mortgage Performance Trends data come from the NMDB, a joint project we’ve undertaken with the Federal Housing Finance Agency (FHFA). For more information, visit the NMDB program page .The core data in the NMDB come from data maintained by one of the top three nationwide credit repositories. The NMDB has a nationally representative, 5 percent sample of all outstanding, closed-end, first-lien, 1–4 family residential mortgages.The data and analyses presented herein are the sole product of the CFPB. Use of information downloaded from our website, and any alteration or representation regarding such information by a party, is the responsibility of such party.Why the data matterMortgage delinquency rates reflect the health of the mortgage market, and the health of the overall economy.The 30–89 mortgage delinquency rate is a measure of early stage delinquencies. It generally captures borrowers that have missed one or two payments. This rate can be an early indicator of mortgage market health. However, this rate is seasonally volatile and sensitive to temporary economic shocks.The 90–day delinquency rate is a measure of serious delinquencies. It generally captures borrowers that have missed three or more payments. This rate measures more severe economic distress.PrivacyThe Mortgage Performance Trends data have many protections in place to protect personal identity. Before the CFPB or the FHFA receive any data for the NMDB, all records are stripped of information that might reveal a consumer’s identity, such as names, addresses, and Social Security numbers. All data shown are aggregated by state, metropolitan statistical area, or county.