42 datasets found
  1. Quarterly mortgage interest rate in the U.S. 2019-2024, by mortgage type

    • statista.com
    • ai-chatbox.pro
    Updated Jun 20, 2025
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    Statista (2025). Quarterly mortgage interest rate in the U.S. 2019-2024, by mortgage type [Dataset]. https://www.statista.com/statistics/500056/quarterly-mortgage-intererst-rates-by-mortgage-type-usa/
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    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In the United States, interest rates for all mortgage types started to increase in 2021. This was due to the Federal Reserve introducing a series of hikes in the federal funds rate to contain the rising inflation. In the fourth quarter of 2024, the 30-year fixed rate rose slightly, to **** percent. Despite the increase, the rate remained below the peak of **** percent in the same quarter a year ago. Why have U.S. home sales decreased? Cheaper mortgages normally encourage consumers to buy homes, while higher borrowing costs have the opposite effect. As interest rates increased in 2022, the number of existing homes sold plummeted. Soaring house prices over the past 10 years have further affected housing affordability. Between 2013 and 2023, the median price of an existing single-family home risen by about ** percent. On the other hand, the median weekly earnings have risen much slower. Comparing mortgage terms and rates Between 2008 and 2023, the average rate on a 15-year fixed-rate mortgage in the United States stood between **** and **** percent. Over the same period, a 30-year mortgage term averaged a fixed-rate of between **** and **** percent. Rates on 15-year loan terms are lower to encourage a quicker repayment, which helps to improve a homeowner’s equity.

  2. Canada Mortgage and Housing Corporation, conventional mortgage lending rate,...

    • www150.statcan.gc.ca
    • thelearningbarn.org
    • +4more
    Updated Jun 16, 2025
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    Government of Canada, Statistics Canada (2025). Canada Mortgage and Housing Corporation, conventional mortgage lending rate, 5-year term [Dataset]. http://doi.org/10.25318/3410014501-eng
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    Dataset updated
    Jun 16, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Government of Canadahttp://www.gg.ca/
    Area covered
    Canada
    Description

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

  3. The Best Current Mortgage Rates in Canada

    • rates.ca
    Updated Jul 24, 2024
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    RATESDOTCA (2024). The Best Current Mortgage Rates in Canada [Dataset]. https://rates.ca/mortgage-rates
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    Dataset updated
    Jul 24, 2024
    Dataset provided by
    RATESDOTCA Group Ltd.
    Authors
    RATESDOTCA
    Time period covered
    2023 - Present
    Area covered
    Canada
    Variables measured
    Mortgage rates
    Description

    Evaluate Canada’s best mortgage rates in one place. RATESDOTCA’s Rate Matrix lets you compare pricing for all key mortgage types and terms. Rates are based on an average mortgage of $300,000

  4. F

    30-Year Fixed Rate Jumbo Mortgage Index

    • fred.stlouisfed.org
    json
    Updated Jul 14, 2025
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    (2025). 30-Year Fixed Rate Jumbo Mortgage Index [Dataset]. https://fred.stlouisfed.org/series/OBMMIJUMBO30YF
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    jsonAvailable download formats
    Dataset updated
    Jul 14, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Description

    Graph and download economic data for 30-Year Fixed Rate Jumbo Mortgage Index (OBMMIJUMBO30YF) from 2017-01-03 to 2025-07-11 about jumbo, 30-year, fixed, mortgage, rate, indexes, and USA.

  5. Mortgage Rates By Banks in Canada

    • rates.ca
    Updated Jul 24, 2024
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    RATESDOTCA (2024). Mortgage Rates By Banks in Canada [Dataset]. https://rates.ca/mortgage-rates
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    Dataset updated
    Jul 24, 2024
    Dataset provided by
    RATESDOTCA Group Ltd.
    Authors
    RATESDOTCA
    Time period covered
    2001 - 2023
    Area covered
    Canada
    Variables measured
    Mortgage rates
    Description

    Rates have been trending downward in Canada for the last five years. The ebbs and flows are caused by changes in Canada’s bond yields (driven by Canadians economic developments and international rate movements, particularly U.S. rate fluctuations) and the overnight rate (which is set by the Bank of Canada). As of August 2022, there has been a 225 bps increase in the prime rate, since beginning of year 2022, from 2.45% to 4.70% as of Aug 24th 2022. The following are the historical conventional mortgage rates offered by the 6 major chartered banks in Canada in the past 20 years.

  6. F

    30-Year Fixed Rate FHA Mortgage Index

    • fred.stlouisfed.org
    json
    Updated Jul 11, 2025
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    30-Year Fixed Rate FHA Mortgage Index [Dataset]. https://fred.stlouisfed.org/series/OBMMIFHA30YF
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    jsonAvailable download formats
    Dataset updated
    Jul 11, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Description

    Graph and download economic data for 30-Year Fixed Rate FHA Mortgage Index (OBMMIFHA30YF) from 2017-01-03 to 2025-07-10 about FHA, 30-year, fixed, mortgage, rate, indexes, and USA.

  7. Mortgage Rates Across Los Angeles, Los Angeles County, California

    • ownwell.com
    Updated Mar 1, 2025
    + more versions
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    Ownwell (2025). Mortgage Rates Across Los Angeles, Los Angeles County, California [Dataset]. https://www.ownwell.com/trends/california/los-angeles-county/los-angeles
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    Dataset updated
    Mar 1, 2025
    Dataset authored and provided by
    Ownwell
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Area covered
    California, Los Angeles County, Los Angeles
    Description

    The table below showcases the 10th, 25th, 50th, 75th, and 90th percentiles of mortgage rates for each zip code in Los Angeles, California. It's important to understand that mortgage rates can vary greatly and can change yearly.

  8. Funds advanced, outstanding balances, and interest rates for new and...

    • www150.statcan.gc.ca
    • datasets.ai
    • +3more
    Updated Jun 17, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Funds advanced, outstanding balances, and interest rates for new and existing lending, Bank of Canada [Dataset]. http://doi.org/10.25318/1010000601-eng
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    Dataset updated
    Jun 17, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Government of Canadahttp://www.gg.ca/
    Area covered
    Canada
    Description

    This table contains 102 series, with data starting from 2013, and some select series starting from 2016. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada), Components (51 items: Total, funds advanced, residential mortgages, insured; Variable rate, insured; Fixed rate, insured, less than 1 year; Fixed rate, insured, from 1 to less than 3 years; ...), and Unit of measure (2 items: Dollars; Interest rate). For additional clarification on the component dimension, please visit the OSFI website for the Report on New and Existing Lending.

  9. F

    Delinquency Rate on Single-Family Residential Mortgages, Booked in Domestic...

    • fred.stlouisfed.org
    json
    Updated May 21, 2025
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    (2025). Delinquency Rate on Single-Family Residential Mortgages, Booked in Domestic Offices, All Commercial Banks [Dataset]. https://fred.stlouisfed.org/series/DRSFRMACBS
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    jsonAvailable download formats
    Dataset updated
    May 21, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    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.

  10. Foreclosure rate U.S. 2005-2024

    • statista.com
    • ai-chatbox.pro
    Updated Jun 20, 2025
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    Statista (2025). Foreclosure rate U.S. 2005-2024 [Dataset]. https://www.statista.com/statistics/798766/foreclosure-rate-usa/
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    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The foreclosure rate in the United States has experienced significant fluctuations over the past two decades, reaching its peak in 2010 at **** percent following the financial crisis. Since then, the rate has steadily declined, with a notable drop to **** percent in 2021 due to government interventions during the COVID-19 pandemic. In 2024, the rate stood slightly higher at **** percent but remained well below historical averages, indicating a relatively stable housing market. Impact of economic conditions on foreclosures The foreclosure rate is closely tied to broader economic trends and housing market conditions. During the aftermath of the 2008 financial crisis, the share of non-performing mortgage loans climbed significantly, with loans 90 to 180 days past due reaching *** percent. Since then, the share of seriously delinquent loans has dropped notably, demonstrating a substantial improvement in mortgage performance. Among other things, the improved mortgage performance has to do with changes in the mortgage approval process. Homebuyers are subject to much stricter lending standards, such as higher credit score requirements. These changes ensure that borrowers can meet their payment obligations and are at a lower risk of defaulting and losing their home. Challenges for potential homebuyers Despite the low foreclosure rates, potential homebuyers face significant challenges in the current market. Homebuyer sentiment worsened substantially in 2021 and remained low across all age groups through 2024, with the 45 to 64 age group expressing the most negative outlook. Factors contributing to this sentiment include high housing costs and various financial obligations. For instance, in 2023, ** percent of non-homeowners reported that student loan expenses hindered their ability to save for a down payment.

  11. C

    Canada CA: Lending Interest Rate

    • ceicdata.com
    + more versions
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    CEICdata.com, Canada CA: Lending Interest Rate [Dataset]. https://www.ceicdata.com/en/canada/interest-rates/ca-lending-interest-rate
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    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2006 - Dec 1, 2017
    Area covered
    Canada
    Variables measured
    Money Market Rate
    Description

    Canada CA: Lending Interest Rate data was reported at 2.700 % pa in 2017. This stayed constant from the previous number of 2.700 % pa for 2016. Canada CA: Lending Interest Rate data is updated yearly, averaging 6.271 % pa from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 19.292 % pa in 1981 and a record low of 2.396 % pa in 2009. Canada CA: Lending Interest Rate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Canada – Table CA.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.;;

  12. Monthly car loan rates in the U.S. 2014-2025

    • statista.com
    Updated Jun 10, 2025
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    Statista (2025). Monthly car loan rates in the U.S. 2014-2025 [Dataset]. https://www.statista.com/statistics/290673/auto-loan-rates-usa/
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    Dataset updated
    Jun 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2014 - May 2025
    Area covered
    United States
    Description

    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.

  13. Canada Conventional Mortgage: 5 Years

    • ceicdata.com
    Updated Mar 19, 2025
    + more versions
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    CEICdata.com (2025). Canada Conventional Mortgage: 5 Years [Dataset]. https://www.ceicdata.com/en/canada/conventional-mortgage-rate/conventional-mortgage-5-years
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    Dataset updated
    Mar 19, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    Canada
    Variables measured
    Lending Rate
    Description

    Canada Conventional Mortgage: 5 Years data was reported at 6.490 % pa in Apr 2025. This stayed constant from the previous number of 6.490 % pa for Mar 2025. Canada Conventional Mortgage: 5 Years data is updated monthly, averaging 7.395 % pa from Jan 1973 (Median) to Apr 2025, with 628 observations. The data reached an all-time high of 21.750 % pa in Sep 1981 and a record low of 4.640 % pa in Jun 2017. Canada Conventional Mortgage: 5 Years data remains active status in CEIC and is reported by Bank of Canada. The data is categorized under Global Database’s Canada – Table CA.M005: Conventional Mortgage Rate.

  14. Canada Mortgage and Housing Corporation, vacancy rates, row and apartment...

    • data.wu.ac.at
    • www150.statcan.gc.ca
    • +3more
    csv, html, xml
    Updated Jul 26, 2018
    + more versions
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    Statistics Canada | Statistique Canada (2018). Canada Mortgage and Housing Corporation, vacancy rates, row and apartment structures of three units and over, privately initiated in census metropolitan areas, weighted average [Dataset]. https://data.wu.ac.at/schema/www_data_gc_ca/NDk0NmIxNGUtZjJiYi00NmRlLTliNGUtZGMwMDc2NjVlMTIy
    Explore at:
    csv, html, xmlAvailable download formats
    Dataset updated
    Jul 26, 2018
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Canada
    Description

    This table contains 37 series, with data starting from 1992 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (37 items: Census metropolitan areas; Saguenay; Quebec; Edmonton; Alberta; Calgary; Alberta ...).

  15. B

    Brazil Lending Rate: per Month: Pre-Fixed: Corporate Entities: Prepaid...

    • ceicdata.com
    Updated Jul 22, 2019
    + more versions
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    CEICdata.com (2019). Brazil Lending Rate: per Month: Pre-Fixed: Corporate Entities: Prepaid Credit Card Bills: Banestes S.A. Banco do Estado do Espirito Santo [Dataset]. https://www.ceicdata.com/en/brazil/lending-rate-per-month-by-banks-prefixed-corporate-entities-prepaid-credit-card-bills/lending-rate-per-month-prefixed-corporate-entities-prepaid-credit-card-bills-banestes-sa-banco-do-estado-do-espirito-santo
    Explore at:
    Dataset updated
    Jul 22, 2019
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 15, 2019 - Jul 3, 2019
    Area covered
    Brazil
    Variables measured
    Lending Rate
    Description

    Brazil Lending Rate: per Month: Pre-Fixed: Corporate Entities: Prepaid Credit Card Bills: Banestes S.A. Banco do Estado do Espirito Santo data was reported at 2.240 % per Month in 03 Jul 2019. This records a decrease from the previous number of 2.310 % per Month for 02 Jul 2019. Brazil Lending Rate: per Month: Pre-Fixed: Corporate Entities: Prepaid Credit Card Bills: Banestes S.A. Banco do Estado do Espirito Santo data is updated daily, averaging 2.420 % per Month from Jan 2012 (Median) to 03 Jul 2019, with 1867 observations. The data reached an all-time high of 3.300 % per Month in 03 May 2019 and a record low of 0.000 % per Month in 19 Jun 2019. Brazil Lending Rate: per Month: Pre-Fixed: Corporate Entities: Prepaid Credit Card Bills: Banestes S.A. Banco do Estado do Espirito Santo 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.MB013: Lending Rate: per Month: by Banks: Pre-Fixed: Corporate Entities: Prepaid Credit Card Bills. Lending Rate: Daily: Interest rates disclosed represent the total cost of the transaction to the client, also including taxes and operating. These rates correspond to the average fees in the period indicated in the tables. There are presented only institutions that had granted during the period determined. In general, institutions practicing different rates within the same type of credit. Thus, the rate charged to a customer may differ from the average. Several factors such as the time and volume of the transaction, as well as the guarantees offered, explain the differences between interest rates. Certain institutions grant allowance of the use of the term overdraft. However, this is not considered in the calculation of rates of this type. It should be noted that the overdraft is a modality that has high interest rates. Thus, its use should be restricted to short periods. If the customer needs resources for a longer period, should find ways to offer lower rates. The Brazilian Central Bank publishes these data with a delay about 20 days with relation to the reference period, thus allowing sufficient time for all Financial Institutions to deliver the relevant information. Interest rates presented in this set of tables correspond to averages weighted by the values of transactions conducted in the five working days specified in each table. These rates represent the average effective cost of loans to customers, consisting of the interest rates actually charged by financial institutions in their lending operations, increased tax burdens and operational incidents on the operations. The interest rates shown are the average of the rates charged in the various operations performed by financial institutions, in each modality. In one discipline, interest rates may differ between customers of the same financial institution. Interest rates vary according to several factors, such as the value and quality of collateral provided in the operation, the proportion of down payment operation, the history and the registration status of each client, the term of the transaction, among others . Institutions with “zero” did not operate on modalities for those periods or did not provide information to the Central Bank of Brazil. The Central Bank of Brazil assumes no responsibility for delay, error or other deficiency of information provided for purposes of calculating average rates presented in this

  16. Brazil Lending Rate: per Annum: Pre-Fixed: Individuals: Purchase Other...

    • ceicdata.com
    Updated Jul 22, 2019
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    CEICdata.com (2019). Brazil Lending Rate: per Annum: Pre-Fixed: Individuals: Purchase Other Goods: Caixa Economica Federal [Dataset]. https://www.ceicdata.com/en/brazil/lending-rate-per-annum-by-banks-prefixed-individuals-purchase-other-goods/lending-rate-per-annum-prefixed-individuals-purchase-other-goods-caixa-economica-federal
    Explore at:
    Dataset updated
    Jul 22, 2019
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 15, 2019 - Jul 3, 2019
    Area covered
    Brazil
    Variables measured
    Lending Rate
    Description

    Brazil Lending Rate: per Annum: Pre-Fixed: Individuals: Purchase Other Goods: Caixa Economica Federal data was reported at 37.680 % pa in 03 Jul 2019. This records a decrease from the previous number of 37.880 % pa for 02 Jul 2019. Brazil Lending Rate: per Annum: Pre-Fixed: Individuals: Purchase Other Goods: Caixa Economica Federal data is updated daily, averaging 32.080 % pa from Jan 2012 (Median) to 03 Jul 2019, with 1867 observations. The data reached an all-time high of 100.940 % pa in 23 Feb 2018 and a record low of 0.000 % pa in 14 Aug 2018. Brazil Lending Rate: per Annum: Pre-Fixed: Individuals: Purchase Other Goods: Caixa Economica Federal 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.MB027: Lending Rate: per Annum: by Banks: Pre-Fixed: Individuals: Purchase Other Goods. Lending Rate: Daily: Interest rates disclosed represent the total cost of the transaction to the client, also including taxes and operating. These rates correspond to the average fees in the period indicated in the tables. There are presented only institutions that had granted during the period determined. In general, institutions practicing different rates within the same type of credit. Thus, the rate charged to a customer may differ from the average. Several factors such as the time and volume of the transaction, as well as the guarantees offered, explain the differences between interest rates. Certain institutions grant allowance of the use of the term overdraft. However, this is not considered in the calculation of rates of this type. It should be noted that the overdraft is a modality that has high interest rates. Thus, its use should be restricted to short periods. If the customer needs resources for a longer period, should find ways to offer lower rates. The Brazilian Central Bank publishes these data with a delay about 20 days with relation to the reference period, thus allowing sufficient time for all Financial Institutions to deliver the relevant information. Interest rates presented in this set of tables correspond to averages weighted by the values of transactions conducted in the five working days specified in each table. These rates represent the average effective cost of loans to customers, consisting of the interest rates actually charged by financial institutions in their lending operations, increased tax burdens and operational incidents on the operations. The interest rates shown are the average of the rates charged in the various operations performed by financial institutions, in each modality. In one discipline, interest rates may differ between customers of the same financial institution. Interest rates vary according to several factors, such as the value and quality of collateral provided in the operation, the proportion of down payment operation, the history and the registration status of each client, the term of the transaction, among others . Institutions with “zero” did not operate on modalities for those periods or did not provide information to the Central Bank of Brazil. The Central Bank of Brazil assumes no responsibility for delay, error or other deficiency of information provided for purposes of calculating average rates presented in this

  17. Canada Mortgage and Housing Corporation, average rents for areas with a...

    • www150.statcan.gc.ca
    • datasets.ai
    • +3more
    Updated Feb 4, 2025
    + more versions
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    Canada Mortgage and Housing Corporation, average rents for areas with a population of 10,000 and over [Dataset]. https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=3410013301
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    Dataset updated
    Feb 4, 2025
    Dataset provided by
    Government of Canadahttp://www.gg.ca/
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    This table contains data described by the following dimensions (Not all combinations are available): Geography (247 items: Carbonear; Newfoundland and Labrador; Corner Brook; Newfoundland and Labrador; Grand Falls-Windsor; Newfoundland and Labrador; Gander; Newfoundland and Labrador ...), Type of structure (4 items: Apartment structures of three units and over; Apartment structures of six units and over; Row and apartment structures of three units and over; Row structures of three units and over ...), Type of unit (4 items: Two bedroom units; Three bedroom units; One bedroom units; Bachelor units ...).

  18. Canada Mortgage and Housing Corporation, vacancy rates, row and apartment...

    • open.canada.ca
    • www150.statcan.gc.ca
    • +1more
    csv, html, xml
    Updated Feb 4, 2025
    + more versions
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    Statistics Canada (2025). Canada Mortgage and Housing Corporation, vacancy rates, row and apartment structures of three units and over, privately initiated in census agglomerations of 50,000 and over, weighted average [Dataset]. https://open.canada.ca/data/en/dataset/77156718-064b-4c9d-ac81-7f016170a081
    Explore at:
    html, xml, csvAvailable download formats
    Dataset updated
    Feb 4, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Canada
    Description

    This table contains data described by the following dimensions (Not all combinations are available): Geography (39 items: All census agglomerations 50,000 and over; Barrie; Ontario; Belleville; Ontario; Abbotsford-Mission; British Columbia ...).

  19. Canada Conventional Mortgage: 1 Year

    • ceicdata.com
    Updated Mar 19, 2025
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    CEICdata.com (2025). Canada Conventional Mortgage: 1 Year [Dataset]. https://www.ceicdata.com/en/canada/conventional-mortgage-rate/conventional-mortgage-1-year
    Explore at:
    Dataset updated
    Mar 19, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    Canada
    Variables measured
    Lending Rate
    Description

    Canada Conventional Mortgage: 1 Year data was reported at 6.090 % pa in Apr 2025. This records a decrease from the previous number of 6.990 % pa for Mar 2025. Canada Conventional Mortgage: 1 Year data is updated monthly, averaging 6.425 % pa from Jan 1980 (Median) to Apr 2025, with 544 observations. The data reached an all-time high of 21.250 % pa in Sep 1981 and a record low of 2.790 % pa in Feb 2022. Canada Conventional Mortgage: 1 Year data remains active status in CEIC and is reported by Bank of Canada. The data is categorized under Global Database’s Canada – Table CA.M005: Conventional Mortgage Rate.

  20. B

    Brazil Lending Rate: per Annum: Pre-Fixed: Corporate Entities: Prepaid...

    • ceicdata.com
    Updated Jul 22, 2019
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    CEICdata.com (2019). Brazil Lending Rate: per Annum: Pre-Fixed: Corporate Entities: Prepaid Credit Card Bills: HS Financeira S.A. Credito Financiamento e Investimento [Dataset]. https://www.ceicdata.com/en/brazil/lending-rate-per-annum-by-banks-prefixed-corporate-entities-prepaid-credit-card-bills/lending-rate-per-annum-prefixed-corporate-entities-prepaid-credit-card-bills-hs-financeira-sa-credito-financiamento-e-investimento
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    Dataset updated
    Jul 22, 2019
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 15, 2019 - Jul 3, 2019
    Area covered
    Brazil
    Variables measured
    Lending Rate
    Description

    Brazil Lending Rate: per Annum: Pre-Fixed: Corporate Entities: Prepaid Credit Card Bills: HS Financeira S.A. Credito Financiamento e Investimento data was reported at 0.000 % pa in 03 Jul 2019. This stayed constant from the previous number of 0.000 % pa for 02 Jul 2019. Brazil Lending Rate: per Annum: Pre-Fixed: Corporate Entities: Prepaid Credit Card Bills: HS Financeira S.A. Credito Financiamento e Investimento data is updated daily, averaging 0.000 % pa from Jan 2012 (Median) to 03 Jul 2019, with 1867 observations. The data reached an all-time high of 39.440 % pa in 13 Dec 2013 and a record low of 0.000 % pa in 03 Jul 2019. Brazil Lending Rate: per Annum: Pre-Fixed: Corporate Entities: Prepaid Credit Card Bills: HS Financeira S.A. Credito Financiamento e Investimento 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.MB038: Lending Rate: per Annum: by Banks: Pre-Fixed: Corporate Entities: Prepaid Credit Card Bills. Lending Rate: Daily: Interest rates disclosed represent the total cost of the transaction to the client, also including taxes and operating. These rates correspond to the average fees in the period indicated in the tables. There are presented only institutions that had granted during the period determined. In general, institutions practicing different rates within the same type of credit. Thus, the rate charged to a customer may differ from the average. Several factors such as the time and volume of the transaction, as well as the guarantees offered, explain the differences between interest rates. Certain institutions grant allowance of the use of the term overdraft. However, this is not considered in the calculation of rates of this type. It should be noted that the overdraft is a modality that has high interest rates. Thus, its use should be restricted to short periods. If the customer needs resources for a longer period, should find ways to offer lower rates. The Brazilian Central Bank publishes these data with a delay about 20 days with relation to the reference period, thus allowing sufficient time for all Financial Institutions to deliver the relevant information. Interest rates presented in this set of tables correspond to averages weighted by the values of transactions conducted in the five working days specified in each table. These rates represent the average effective cost of loans to customers, consisting of the interest rates actually charged by financial institutions in their lending operations, increased tax burdens and operational incidents on the operations. The interest rates shown are the average of the rates charged in the various operations performed by financial institutions, in each modality. In one discipline, interest rates may differ between customers of the same financial institution. Interest rates vary according to several factors, such as the value and quality of collateral provided in the operation, the proportion of down payment operation, the history and the registration status of each client, the term of the transaction, among others . Institutions with “zero” did not operate on modalities for those periods or did not provide information to the Central Bank of Brazil. The Central Bank of Brazil assumes no responsibility for delay, error or other deficiency of information provided for purposes of calculating average rates presented in this

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Statista (2025). Quarterly mortgage interest rate in the U.S. 2019-2024, by mortgage type [Dataset]. https://www.statista.com/statistics/500056/quarterly-mortgage-intererst-rates-by-mortgage-type-usa/
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Quarterly mortgage interest rate in the U.S. 2019-2024, by mortgage type

Explore at:
Dataset updated
Jun 20, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

In the United States, interest rates for all mortgage types started to increase in 2021. This was due to the Federal Reserve introducing a series of hikes in the federal funds rate to contain the rising inflation. In the fourth quarter of 2024, the 30-year fixed rate rose slightly, to **** percent. Despite the increase, the rate remained below the peak of **** percent in the same quarter a year ago. Why have U.S. home sales decreased? Cheaper mortgages normally encourage consumers to buy homes, while higher borrowing costs have the opposite effect. As interest rates increased in 2022, the number of existing homes sold plummeted. Soaring house prices over the past 10 years have further affected housing affordability. Between 2013 and 2023, the median price of an existing single-family home risen by about ** percent. On the other hand, the median weekly earnings have risen much slower. Comparing mortgage terms and rates Between 2008 and 2023, the average rate on a 15-year fixed-rate mortgage in the United States stood between **** and **** percent. Over the same period, a 30-year mortgage term averaged a fixed-rate of between **** and **** percent. Rates on 15-year loan terms are lower to encourage a quicker repayment, which helps to improve a homeowner’s equity.

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