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.

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 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.

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.

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.

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

Mortgage credit interest rate, percent in Armenia, December, 2024 The most recent value is 12.71 percent as of December 2024, an increase compared to the previous value of 12.46 percent. Historically, the average for Armenia from December 2009 to December 2024 is 11.97 percent. The minimum of 10.14 percent was recorded in January 2021, while the maximum of 13.69 percent was reached in December 2009. | TheGlobalEconomy.com

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

This data collection provides information on the characteristics of a national sample of housing units, including apartments, single-family homes, mobile homes, and vacant housing units in 2009. The data are presented in eight separate parts: Part 1, Home Improvement Record, Part 2, Journey to Work Record, Part 3, Mortgages Recorded, Part 4, Housing Unit Record (Main Record), Recodes (One Record per Housing Unit), and Weights, Part 5, Manager and Owner of Rental Units Record, Part 6, Person Record, Part 7, High Burden Unit Record, and Part 8, Recent Mover Groups Record. Part 1 data include questions about upgrades and remodeling, cost of alterations and repairs, as well as the household member who performed the alteration/repair. Part 2 data include journey to work or commuting information, such as method of transportation to work, length of trip, and miles traveled to work. Additional information collected covers number of hours worked at home, number of days worked at home, average time respondent leaves for work in the morning or evening, whether respondent drives to work alone or with others, and a few other questions pertaining to self-employment and work schedule. Part 3 data include mortgage information, such as type of mortgage obtained by respondent, amount and term of mortgages, as well as years needed to pay them off. Other items asked include monthly payment amount, reason mortgage was taken out, and who provided the mortgage. Part 4 data include household-level information, including demographic information, such as age, sex, race, marital status, income, and relationship to householder. The following topics are also included: data recodes, unit characteristics, and weighting information. Part 5 data include information pertaining to owners of rental properties and whether the owner/resident manager lives on-site. Part 6 data include individual person level information, in which respondents were queried on basic demographic information (i.e. age, sex, race, marital status, income, and relationship to householder), as well as if they worked at all last week, month and year moved into residence, and their ability to perform everyday tasks and whether they have difficulty hearing, seeing, and concentrating or remembering things. Part 7 data include verification of income to cost when the ratio of income to cost is outside of certain tolerances. Respondents were asked whether they receive help or assistance with grocery bills, clothing and transportation expenses, child care payments, medical and utility bills, as well as with rent payments. Part 8 data include recent mover information, such as how many people were living in last unit before move, whether last residence was a condo or a co-op, as well as whether this residence was outside of the United States.

This data collection is part of the American Housing Metropolitan Survey (AHS-MS, or "metro") which is conducted in odd-numbered years. It cycles through a set of 21 metropolitan areas, surveying each one about once every six years. The metro survey, like the national survey, is longitudinal. This particular survey provides information on the characteristics of a New Orleans metropolitan sample of housing units, including apartments, single-family homes, mobile homes, and vacant housing units in 2009. The data are presented in eight separate parts: Part 1, Home Improvement Record, Part 2, Journey to Work Record, Part 3, Mortgages Recorded, Part 4, Housing Unit Record (Main Record), Recodes (One Record per Housing Unit), and Weights, Part 5, Manager and Owner of Rental Units Record, Part 6, Person Record, Part 7, High Burden Unit Record, and Part 8, Recent Mover Groups Record. Part 1 data include questions about upgrades and remodeling, cost of alterations and repairs, as well as the household member who performed the alteration/repair. Part 2 data include journey to work or commuting information, such as method of transportation to work, length of trip, and miles traveled to work. Additional information collected covers number of hours worked at home, number of days worked at home, average time respondent leaves for work in the morning or evening, whether respondent drives to work alone or with others, and a few other questions pertaining to self-employment and work schedule. Part 3 data include mortgage information, such as type of mortgage obtained by respondent, amount and term of mortgages, as well as years needed to pay them off. Other items asked include monthly payment amount, reason mortgage was taken out, and who provided the mortgage. Part 4 data include household-level information, including demographic information, such as age, sex, race, marital status, income, and relationship to householder. The following topics are also included: data recodes, unit characteristics, and weighting information. Part 5 data include information pertaining to owners of rental properties and whether the owner/resident manager lives on-site. Part 6 data include individual person level information, in which respondents were queried on basic demographic information (i.e. age, sex, race, marital status, income, and relationship to householder), as well as if they worked at all last week, month and year moved into residence, and their ability to perform everyday tasks and whether they have difficulty hearing, seeing, and concentrating or remembering things. Part 7 data include verification of income to cost when the ratio of income to cost is outside of certain tolerances. Respondents were asked whether they receive help or assistance with grocery bills, clothing and transportation expenses, child care payments, medical and utility bills, as well as with rent payments. Part 8 data include recent mover information, such as how many people were living in last unit before move, whether last residence was a condo or a co-op, as well as whether this residence was outside of the United States.

Graph and download economic data for Delinquency Rate on Single-Family Residential Mortgages, Booked in Domestic Offices, All Commercial Banks (DRSFRMACBS) from Q1 1991 to Q3 2025 about domestic offices, delinquencies, 1-unit structures, mortgage, family, residential, commercial, domestic, banks, depository institutions, rate, and USA.

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.

Bank Lending Rate in Nicaragua increased to 9.50 percent in October from 8.71 percent in September of 2025. This dataset includes a chart with historical data for Nicaragua Bank Lending Rate.

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.

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.

Mortgage credit interest rate, percent in Bahrain, September, 2025 The most recent value is 5.26 percent as of September 2025, an increase compared to the previous value of 5.2 percent. Historically, the average for Bahrain from July 2009 to September 2025 is 5.93 percent. The minimum of 4.76 percent was recorded in March 2018, while the maximum of 7.84 percent was reached in April 2010. | TheGlobalEconomy.com

Adjustable-rate mortgages have typically been tied to either of two indexes, one based on U.S. treasuries, the other on the London interbank offered rate, or Libor. The index is used to determine a mortgage’s new interest rate when it is reset, and up until recently, the choice would have made little difference. But since 2007, the rates on which the indexes are based have diverged sharply, and borrowers with Libor-based adjustable-rate mortgages are likely to pay more than they would have had their mortgages been tied to treasuries. Moreover, the proportion of Libor-based ARMs has increased significantly, especially for subprime loans.

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

Chile Mortgage Rate: Mortgage Loan: Endorsable: Term: > 20 Years data was reported at 3.800 % pa in Jan 2018. This records an increase from the previous number of 3.783 % pa for Dec 2017. Chile Mortgage Rate: Mortgage Loan: Endorsable: Term: > 20 Years data is updated monthly, averaging 4.700 % pa from Jan 2005 (Median) to Jan 2018, with 157 observations. The data reached an all-time high of 6.866 % pa in Jan 2009 and a record low of 3.440 % pa in Sep 2017. Chile Mortgage Rate: Mortgage Loan: Endorsable: Term: > 20 Years data remains active status in CEIC and is reported by Financial Market Commission. The data is categorized under Global Database’s Chile – Table CL.M008: Mortgage Rate.

Mortgage credit interest rate, percent in Grenada, December, 2019 The most recent value is 7 percent as of December 2019, no change compared to the previous value of 7 percent. Historically, the average for Grenada from March 2009 to December 2019 is 8.53 percent. The minimum of 5.79 percent was recorded in December 2011, while the maximum of 9.63 percent was reached in March 2009. | TheGlobalEconomy.com