In 2024, the average annual lending interest rate in Italy was **** percent. Between 1989 and 2024, the figure dropped by **** percentage points, though the decline followed an uneven course rather than a steady trajectory.

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.

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.

Bank Lending Rate in Thailand remained unchanged at 6.35 percent in July. This dataset provides - Thailand Prime Lending Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

This data collection provides information on characteristics of housing units in 11 selected Metropolitan Statistical Areas (MSAs) of the United States. Although the unit of analysis is the housing unit rather than its occupants, the survey also is a comprehensive source of information on the demographic characteristics of household residents. Data collected include general housing characteristics such as the year the structure was built, type and number of living quarters, occupancy status, presence of commercial establishments on the property, and property value. Data are also provided on kitchen and plumbing facilities, type of heating fuel used, source of water, sewage disposal, and heating and air-conditioning equipment. Questions about housing quality include condition of walls and floors, adequacy of heat in winter, availability of electrical outlets in rooms, basement and roof water leakage, and exterminator service for mice and rats. Data related to housing expenses include mortgage or rent payments, utility costs, fuel costs, property insurance costs, real estate taxes, and garbage collection fees. Variables are also supplied on neighborhood conditions such as quality of roads and presence of crime, trash, litter, street noise, abandoned structures, commercial activity, and odors or smoke, as well as the adequacy of services such as public transportation, schools, shopping facilities, police protection, recreation facilities, and hospitals or clinics. In addition to housing characteristics, data on age, sex, race, marital status, income, and relationship to householder are provided for each household member. Additional data are supplied for the householder, including years of school completed, Spanish origin, and length of residence. (Source: ICPSR, retrieved 06/28/2011)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR09815.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

The 5% Sample Survey of Building Society Mortgage Completions (BSM) has been in existence since 1965. The Archive holds data from 1974. Monthly returns, giving detailed information on a nominal 5% sample of all mortgage completions, have been submitted on a voluntary basis by most building societies to the Department of Environment who process the data on a quarterly basis. The survey results have served as the offical source of statistics on the owner-occupied housing market, providing a wealth of information on mortgage advances, dwelling prices and the characteristics of borrowers and properties. An increased share of the mortgage market being accounted for by other lenders and a widening range of mortgage products during the 1980s have necessitated change, leading to the BSM being succeeded by the Survey of Mortgage Lenders (SML) in 1992 (see GN: 33254). An important consideration for users of the data is that the SML figures allow continuity with the BSM survey results to be maintained for a reasonable period.

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.

Australia Lending Interest Rate data was reported at 5.101 % pa in 2019. This records a decrease from the previous number of 5.261 % pa for 2018. Australia Lending Interest Rate data is updated yearly, averaging 7.269 % pa from Dec 1960 (Median) to 2019, with 60 observations. The data reached an all-time high of 16.458 % pa in 1989 and a record low of 5.000 % pa in 1960. Australia Lending Interest Rate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Australia – Table AU.World Bank.WDI: Interest Rates. Lending rate is the bank rate that usually meets the short- and medium-term financing needs of the private sector. This rate is normally differentiated according to creditworthiness of borrowers and objectives of financing. The terms and conditions attached to these rates differ by country, however, limiting their comparability.;International Monetary Fund, International Financial Statistics and data files.;;

Key information about Belgium Long Term Interest Rate

• Belgium Long Term Interest Rate: Month Avg: Belgium: ECB Harmonised was reported at 3.19 % pa in Oct 2025, compared with 3.26 % pa in the previous month.
• Belgium Long Term Interest Rate data is updated monthly, available from Jun 1989 to Oct 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 2.15 % pa in Nov 2025.
• Belgium Exchange Rate against USD averaged 0.86 (USD/EUR) in Oct 2025.

Hungary HU: Lending Interest Rate data was reported at 1.481 % pa in 2017. This records a decrease from the previous number of 2.089 % pa for 2016. Hungary HU: Lending Interest Rate data is updated yearly, averaging 11.037 % pa from Dec 1989 (Median) to 2017, with 29 observations. The data reached an all-time high of 35.153 % pa in 1991 and a record low of 1.481 % pa in 2017. Hungary HU: Lending Interest Rate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Hungary – Table HU.World Bank.WDI: Interest Rates. Lending rate is the bank rate that usually meets the short- and medium-term financing needs of the private sector. This rate is normally differentiated according to creditworthiness of borrowers and objectives of financing. The terms and conditions attached to these rates differ by country, however, limiting their comparability.; ; International Monetary Fund, International Financial Statistics and data files.; ;

Madagascar: Interest rates on bank credit to the private sector: The latest value from 2023 is 53.58 percent, an increase from 48.83 percent in 2022. In comparison, the world average is 14.12 percent, based on data from 88 countries. Historically, the average for Madagascar from 1989 to 2023 is 39.17 percent. The minimum value, 22.25 percent, was reached in 1989 while the maximum of 60 percent was recorded in 2014.

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

Sao Tome and Principe ST: Lending Interest Rate data was reported at 19.585 % pa in 2016. This records a decrease from the previous number of 23.306 % pa for 2015. Sao Tome and Principe ST: Lending Interest Rate data is updated yearly, averaging 31.153 % pa from Dec 1989 (Median) to 2016, with 28 observations. The data reached an all-time high of 55.583 % pa in 1998 and a record low of 19.585 % pa in 2016. Sao Tome and Principe ST: Lending Interest Rate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sao Tome and Principe – Table ST.World Bank: Interest Rates. Lending rate is the bank rate that usually meets the short- and medium-term financing needs of the private sector. This rate is normally differentiated according to creditworthiness of borrowers and objectives of financing. The terms and conditions attached to these rates differ by country, however, limiting their comparability.; ; International Monetary Fund, International Financial Statistics and data files.; ;

Seychelles SC: Lending Interest Rate data was reported at 12.241 % pa in 2017. This records a decrease from the previous number of 12.358 % pa for 2016. Seychelles SC: Lending Interest Rate data is updated yearly, averaging 12.287 % pa from Dec 1989 (Median) to 2017, with 29 observations. The data reached an all-time high of 16.216 % pa in 1996 and a record low of 9.769 % pa in 2005. Seychelles SC: Lending Interest Rate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Seychelles – Table SC.World Bank.WDI: Interest Rates. Lending rate is the bank rate that usually meets the short- and medium-term financing needs of the private sector. This rate is normally differentiated according to creditworthiness of borrowers and objectives of financing. The terms and conditions attached to these rates differ by country, however, limiting their comparability.; ; International Monetary Fund, International Financial Statistics and data files.; ;

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.

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 ****** 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.

Uganda UG: Lending Interest Rate data was reported at 21.279 % pa in 2017. This records a decrease from the previous number of 23.886 % pa for 2016. Uganda UG: Lending Interest Rate data is updated yearly, averaging 21.460 % pa from Dec 1981 (Median) to 2017, with 34 observations. The data reached an all-time high of 40.000 % pa in 1989 and a record low of 12.500 % pa in 1981. Uganda UG: Lending Interest Rate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Uganda – Table UG.World Bank.WDI: Interest Rates. Lending rate is the bank rate that usually meets the short- and medium-term financing needs of the private sector. This rate is normally differentiated according to creditworthiness of borrowers and objectives of financing. The terms and conditions attached to these rates differ by country, however, limiting their comparability.; ; International Monetary Fund, International Financial Statistics and data files.; ;

Madagascar: Bank lending-deposit interest rate spread : The latest value from 2020 is 35.68 interest rate points, a decline from 36 interest rate points in 2019. In comparison, the world average is 6.59 interest rate points, based on data from 93 countries. Historically, the average for Madagascar from 1989 to 2020 is 23.52 interest rate points. The minimum value, 4.5 interest rate points, was reached in 1989 while the maximum of 49.05 interest rate points was recorded in 2014.

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.

The Pre-1990 HMDA Aggregation Data were prepared annually during this period by the FFIEC on behalf of institutions reporting HMDA data. The Aggregation Data consists of home purchase and home improvement loans that a depository institution originated or purchased during each calendar year. The collected HMDA data were individually aggregated up to the tract level by the reporting depository institution and submitted accordingly to the FFIEC. Individual records are the summary of loan activity for the specified respondent for the indicated census tract except when the census tract numbers were either 888888 or 999999. The 888888 tract records are the sum of all loan activity by the reporter outside of the MSA being reported, but not appearing in any other MSA report. The 999999 tract records are the consolidated county summary data for loans made in untracted counties or counties with 1980 total population less than 30,000. The 1988 and 1989 Aggregation Data files include aggregated data from nondepository institutions, specifically mortgage banking subsidiaries of bank holding companies.