Graph and download economic data for 15-Year Fixed Rate Mortgage Average in the United States (MORTGAGE15US) from 1991-08-30 to 2025-07-10 about 15-year, fixed, mortgage, interest rate, interest, rate, and USA.

United States Housing Affordability Index: Mortgage Rate data was reported at 4.770 % in Sep 2018. This records a decrease from the previous number of 4.780 % for Aug 2018. United States Housing Affordability Index: Mortgage Rate data is updated monthly, averaging 6.470 % from Jan 1989 (Median) to Sep 2018, with 357 observations. The data reached an all-time high of 10.590 % in Jun 1989 and a record low of 3.430 % in Dec 2012. United States Housing Affordability Index: Mortgage Rate data remains active status in CEIC and is reported by National Association of Realtors. The data is categorized under Global Database’s United States – Table US.EB018: Housing Affordability Index.

This data collection provides information on the characteristics of a national sample of housing units. Data include year the structure was built, type and number of living quarters, occupancy status, access, number of rooms, presence of commercial establishments on the property, and property value. Additional data focus on kitchen and plumbing facilities, types of heating fuel used, source of water, sewage disposal, heating and air-conditioning equipment, and major additions, alterations, or repairs to the property. Information provided on housing expenses includes monthly mortgage or rent payments, cost of services such as utilities, garbage collection, and property insurance, and amount of real estate taxes paid in the previous year. Also included is information on whether the household received government assistance to help pay heating or cooling costs or for other energy-related services. Similar data are provided for housing units previously occupied by respondents who have recently moved. Additionally, indicators of housing and neighborhood quality are also supplied. For housing quality, variables include privacy of bedrooms, condition of kitchen facilities, basement or roof leakage, breakdowns of plumbing facilities and equipment, and overall opinion of the structure. For quality of neighborhood, variables include use of an exterminator service, existence of boarded-up buildings, and overall quality of the neighborhood. In addition to housing characteristics, some demographic data are provided on household members, such as age, sex, race, marital status, income, and relationship to householder. Additional data provided on the householder include years of school completed, Spanish origin, length of residence, and length of occupancy.

Key information about Belgium Long Term Interest Rate

• Belgium Long Term Interest Rate: Month Avg: Belgium: ECB Harmonised was reported at 3.01 % pa in Feb 2025, compared with 3.10 % pa in the previous month.
• Belgium Long Term Interest Rate data is updated monthly, available from Jun 1989 to Feb 2025.
• The data reached an all-time high of 10.40 % pa in Feb 1990 and a record low of -0.39 % pa in Dec 2020.
• Long Term Interest Rate is reported by reported by CEIC Data.

• In the latest reports, Belgium Short Term Interest Rate: Month End: EURIBOR: 3 Months was reported at -0.57 % pa in Nov 2021.
• The cash rate (Policy Rate: Month End: Main Refinancing Operations) was set at 2.90 % pa in Feb 2025.
• Belgium Exchange Rate against USD averaged 0.92 (USD/EUR) in Jun 2023.

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

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.

In 2019, 47.4 percent of households in France had taken out credits, that is to say nearly two percent less than ten years before, in 2009. The share of French households having credits has decreased overall by more than five percent between 1989 and 2019 and has started to stabilize over the past three years.

Consumer credit Despite an interest rate relatively low, consumer loan rate has been losing ground in France over the past few years. The household possession rate has been decreasing since 2018, which is reflected in the annual growth rate of consumer consumer credits to households, which reached it's lowest point as of March 2020. However, while there are less consumer loans in France, the value of the loans taken out has kept increasing , reaching 187.2 billion euros as of the third quarter of 2019.

Mortgage In contrast to consumer credit, mortgages have been thriving in France, with an increasing household possession rate since the early 2000s. In 2019, more than 31 percent of French households had at least one home loan, and the

15-Jahres-Hypothekenzins in den Vereinigten Staaten stieg am 10. Juli von 5,80 Prozent in der Vorwoche auf 5,86 Prozent. Diese Seite enthält eine Tabelle mit historischen Daten für den 15-jährigen Hypothekenzins der Vereinigten Staaten.

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 Q1 2025 about domestic offices, delinquencies, 1-unit structures, mortgage, family, residential, commercial, domestic, banks, depository institutions, rate, and USA.

Since 2012, the median down payment for a home purchase in the United States has more than doubled. In December 2024, homebuyers who took out a mortgage to finance their purchase had to save up approximately 25,836 U.S. dollars for a down payment. This is roughly 10,000 U.S. dollars above the median down payment just four years ago in 2020. This was a result of the rapid house price growth observed in recent years.

The preferred mortgage loans in Italy have for a long time been those with medium-term fixed rates, but in 2022, the share of variable rate loans increased. Variable rate loans rose from 17 percent at the beginning of the year to 52 percent in the third quarter of 2022. This had to do with the rising rates of fixed rate mortgages during the same year. In 2024, this trend reversed, and medium-term fixed rate stood at nearly 89 percent in the second quarter of the year.

Graph and download economic data for Mortgage Debt Service Payments as a Percent of Disposable Personal Income (MDSP) from Q1 1980 to Q4 2024 about disposable, payments, mortgage, debt, personal income, percent, personal, services, income, and USA.

Lending Rate: Foreign Currencies Mortgage Loans: YB: FE: Primorsky Territory data was reported at 9.000 % pa in Dec 2017. This stayed constant from the previous number of 9.000 % pa for Nov 2017. Lending Rate: Foreign Currencies Mortgage Loans: YB: FE: Primorsky Territory data is updated monthly, averaging 9.830 % pa from Dec 2008 to Dec 2017, with 89 observations. The data reached an all-time high of 16.000 % pa in Dec 2015 and a record low of 8.270 % pa in Dec 2014. Lending Rate: Foreign Currencies Mortgage Loans: YB: FE: Primorsky Territory 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.

住房负担能力指数：抵押贷款利率在09-01-2018达4.770%，相较于08-01-2018的4.780%有所下降。住房负担能力指数：抵押贷款利率数据按月更新，01-01-1989至09-01-2018期间平均值为6.470%，共357份观测结果。该数据的历史最高值出现于06-01-1989，达10.590%，而历史最低值则出现于12-01-2012，为3.430%。CEIC提供的住房负担能力指数：抵押贷款利率数据处于定期更新的状态，数据来源于National Association of Realtors，数据归类于全球数据库的美国 – 表 US.E031：住房支付能力指数（HAI）。

Lending Rate in Sweden decreased to 2.10 percent in June from 2.35 percent in May of 2025. This dataset provides - Sweden Lending Rate- actual values, historical data, forecast, chart, statistics, economic calendar and news.

SIA108 - Poverty and Deprivation Rates Before and After Rent and Mortgage Interest. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Poverty and Deprivation Rates Before and After Rent and Mortgage Interest...

This table contains 167 series, with data starting from 1989 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (167 items: Census agglomerations 10;000 to 49;999;Alma; Quebec; Amos; Quebec; Baie-Comeau; Quebec ...).

Abstract (en): 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. Unlike previous years, the data are presented in seven separate parts: Part 1, Work Done Record (Replacement or Additions to the House), Part 2, Journey to Work Record, Part 3, Mortgages (Owners Only), Part 4, Housing Unit Record (Main Record), Recodes (One Record per Housing Unit), and Weights, Part 5, Manager and Owner Record (Renters Only), Part 6, Person Record, Part 7, Mover Group Record. Data include year the structure was built, type and number of living quarters, occupancy status, access, number of rooms, presence of commercial establishments on the property, and property value. Additional data focus on kitchen and plumbing facilities, types of heating fuel used, source of water, sewage disposal, heating and air-conditioning equipment, and major additions, alterations, or repairs to the property. Information provided on housing expenses includes monthly mortgage or rent payments, cost of services such as utilities, garbage collection, and property insurance, and amount of real estate taxes paid in the previous year. Also included is information on whether the household received government assistance to help pay heating or cooling costs or for other energy-related services. Similar data are provided for housing units previously occupied by respondents who had recently moved. Additionally, indicators of housing and neighborhood quality are supplied. Housing quality variables include privacy of bedrooms, condition of kitchen facilities, basement or roof leakage, breakdowns of plumbing facilities and equipment, and overall opinion of the structure. For quality of neighborhood, variables include use of exterminator services, existence of boarded-up buildings, and overall quality of the neighborhood. In addition to housing characteristics, some demographic data are provided on household members, such as age, sex, race, marital status, income, and relationship to householder. Additional data provided on the householder include years of school completed, Spanish origin, length of residence, and length of occupancy. Please review the "Sample Status, Weights, Interview Status" section in the ICPSR codebook for this American Housing Survey study, as well as Appendix B in CURRENT HOUSING REPORTS, 2007, included with this collection. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Checked for undocumented or out-of-range codes.. Housing Units in the United States. The 2007 national data are from a sample of housing units interviewed between April and September 2007. The same basic sample of housing units is interviewed every 2 years until a new sample is selected. The United States Census Bureau updates the sample by adding newly constructed housing units and units discovered through coverage improvement efforts. For the 2007 American Housing Survey--National sample (AHS-N), approximately 60,000 sample housing units were originally selected for interview. Due to budgetary constraints, roughly 8 percent of these units were taken out of the sample and were not interviewed in 2007. These reduced units are eligible for reinstatement in future enumerations. About 2,150 of the remaining 55,000 total units included for interview were found to be ineligible because the unit no longer existed or because the units did not meet the AHS-N definition of a housing unit. Of the 52,850 eligible sample units, about 6,550 were classified (both occupied and vacant housing units), as ''Type A'' noninterviews because (a) no one was at home after repeated visits, (b) the respondent refused to be interviewed, or (c) the interviewer was unable to find the unit. This classification produced an unweighted overall response rate of 88 percent. The weighted overall response rate was 89 percent. computer-assisted personal interview (CAPI)Beginning in 1997, the methods of collecting and processing American Housing Survey (AHS) data were redesigned. All interviews are conducted using computer-assisted personal interviewing (CAPI) ...

SIA106 - Poverty and Deprivation Rates Before and After Rent and Mortgage Interest. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Poverty and Deprivation Rates Before and After Rent and Mortgage Interest...

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 7.91 percent in February 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.