Graph and download economic data for 15-Year Fixed Rate Mortgage Average in the United States (MORTGAGE15US) from 1991-08-30 to 2025-07-24 about 15-year, fixed, mortgage, interest rate, interest, rate, and USA.

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.

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.

United States Mortgage Adjustable Rate: Mth Avg: 5 Year: Margin data was reported at 2.770 % pa in Nov 2018. This stayed constant from the previous number of 2.770 % pa for Oct 2018. United States Mortgage Adjustable Rate: Mth Avg: 5 Year: Margin data is updated monthly, averaging 2.740 % pa from Jan 2005 (Median) to Nov 2018, with 167 observations. The data reached an all-time high of 2.790 % pa in Aug 2005 and a record low of 2.710 % pa in Mar 2009. United States Mortgage Adjustable Rate: Mth Avg: 5 Year: Margin 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.

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.

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.

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 rates increased at a record pace in 2022, with the 10-year fixed mortgage rate doubling between March 2022 and December 2022. With inflation increasing, the Bank of England introduced several bank rate hikes, resulting in higher mortgage rates. In May 2025, the average 10-year fixed rate interest rate reached **** percent. As borrowing costs get higher, demand for housing is expected to decrease, leading to declining market sentiment and slower house price growth. How have the mortgage hikes affected the market? After surging in 2021, the number of residential properties sold declined in 2023, reaching just above *** million. Despite the number of transactions falling, this figure was higher than the period before the COVID-19 pandemic. The falling transaction volume also impacted mortgage borrowing. Between the first quarter of 2023 and the first quarter of 2024, the value of new mortgage loans fell year-on-year for five straight quarters in a row. How are higher mortgages affecting homebuyers? Homeowners with a mortgage loan usually lock in a fixed rate deal for two to ten years, meaning that after this period runs out, they need to renegotiate the terms of the loan. Many of the mortgages outstanding were taken out during the period of record-low mortgage rates and have since faced notable increases in their monthly repayment. About **** million homeowners are projected to see their deal expire by the end of 2026. About *** million of these loans are projected to experience a monthly payment increase of up to *** British pounds by 2026.

Kosovo Lending Rate: NB: Households: Mortgage Loans: Over 10 Years data was reported at 4.516 % pa in Mar 2025. This records a decrease from the previous number of 5.092 % pa for Feb 2025. Kosovo Lending Rate: NB: Households: Mortgage Loans: Over 10 Years data is updated monthly, averaging 5.102 % pa from Jun 2004 (Median) to Mar 2025, with 237 observations. The data reached an all-time high of 12.602 % pa in Mar 2009 and a record low of 0.000 % pa in Dec 2009. Kosovo Lending Rate: NB: Households: Mortgage Loans: Over 10 Years data remains active status in CEIC and is reported by Central Bank of the Republic of Kosovo. The data is categorized under Global Database’s Kosovo – Table KS.M004: Other Depository Corporations Lending Rate: New Business: by Type and Maturity.

Graph and download economic data for Bank Prime Loan Rate Changes: Historical Dates of Changes and Rates (PRIME) from 1955-08-04 to 2024-12-20 about prime, loans, interest rate, banks, interest, depository institutions, rate, and USA.

Lending Rate: Foreign Currencies Mortgage Loans: YB: Quarterly: SB: Republic of Tyva data was reported at 8.800 % pa in Dec 2009. This records a decrease from the previous number of 9.800 % pa for Dec 2008. Lending Rate: Foreign Currencies Mortgage Loans: YB: Quarterly: SB: Republic of Tyva data is updated quarterly, averaging 9.900 % pa from Sep 2006 (Median) to Dec 2009, with 8 observations. The data reached an all-time high of 13.300 % pa in Dec 2007 and a record low of 8.800 % pa in Dec 2009. Lending Rate: Foreign Currencies Mortgage Loans: YB: Quarterly: 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.

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 Seattle 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.

Mortgage credit interest rate, percent in Jamaica, April, 2025 The most recent value is 7.53 percent as of April 2025, an increase compared to the previous value of 7.5 percent. Historically, the average for Jamaica from January 1996 to April 2025 is 13.02 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 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.

The annual average interest rate on new residential loans in Bulgaria declined significantly between 2009 and 2023. Since 2009, the annual average interest rate has decreased from **** percent to **** percent in 2022 - the lowest rate on record. Despite the slight rise in 2023 to **** percent, the overall trend suggests a significant decline in interest rates.

Mortgage credit interest rate, percent in Moldova, June, 2025 The most recent value is 7.35 percent as of June 2025, an increase compared to the previous value of 7.14 percent. Historically, the average for Moldova from January 2008 to June 2025 is 10.57 percent. The minimum of 6.1 percent was recorded in August 2018, while the maximum of 20.2 percent was reached in February 2009. | TheGlobalEconomy.com

Mortgage Rate: Commercial Banks: Weighted Average data was reported at 13.100 % pa in Oct 2018. This records an increase from the previous number of 12.800 % pa for Sep 2018. Mortgage Rate: Commercial Banks: Weighted Average data is updated monthly, averaging 13.480 % pa from Jan 2008 (Median) to Oct 2018, with 130 observations. The data reached an all-time high of 20.894 % pa in Jul 2009 and a record low of 7.717 % pa in Jul 2016. Mortgage Rate: Commercial Banks: Weighted Average data remains active status in CEIC and is reported by Bank of Mongolia. The data is categorized under Global Database’s Mongolia – Table MN.M006: Mortgage Rate.

Mortgage credit interest rate, percent in Bahrain, March, 2025 The most recent value is 5.18 percent as of March 2025, an increase compared to the previous value of 5.15 percent. Historically, the average for Bahrain from July 2009 to March 2025 is 5.95 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

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

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.