100+ datasets found
  1. F

    15-Year Fixed Rate Mortgage Average in the United States

    • fred.stlouisfed.org
    json
    Updated Jun 5, 2025
    + more versions
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    (2025). 15-Year Fixed Rate Mortgage Average in the United States [Dataset]. https://fred.stlouisfed.org/series/MORTGAGE15US
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    jsonAvailable download formats
    Dataset updated
    Jun 5, 2025
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for 15-Year Fixed Rate Mortgage Average in the United States (MORTGAGE15US) from 1991-08-30 to 2025-06-05 about 15-year, fixed, mortgage, interest rate, interest, rate, and USA.

  2. Rates on 30-year conventional mortgage in the U.S. 1971-2024

    • statista.com
    • ai-chatbox.pro
    Updated Apr 25, 2025
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    Statista (2025). Rates on 30-year conventional mortgage in the U.S. 1971-2024 [Dataset]. https://www.statista.com/statistics/187661/rates-on-conventional-30-year-fixed-mortgages-in-the-us/
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    Dataset updated
    Apr 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    After a period of gradual decline, the average annual rate on a 30-year fixed-rate mortgage in the United States rose to 6.81 percent in 2023, up from the record-low 2.96 percent in 2021. In 2024, interest rates declined slightly. The rate for 15-year fixed mortgages and five-year ARM mortgages followed a similar trend. This was a result of the Federal Reserve increasing the bank rate - a measure introduced to tackle the rising inflation. U.S. home prices going through the roof Mortgage rates have a strong impact on the market – the lower the rate, the lower the loan repayment. The rate on a 30-year fixed-rate mortgage decreasing after the Great Recession has stimulated the market and boosted home sales. Another problem consumers face is the fact that house prices are rising at an unaffordable level. The median sales price of a new home sold surged in 2021, while the median weekly earnings of a full-time employee maintained a more moderate increase. What are the differences between 15-year and 30-year mortgages? Two of the most popular loan terms available to homebuyers are the 15-year fixed-rate mortgage and the 30-year fixed-rate mortgage. The 30-year option appeals to more consumers because the repayment is spread out over 30 years, meaning the monthly payments are lower. Consumers choosing the 15-year option will have to pay higher monthly payments but benefit from lower interest rates.

  3. T

    Brazil Interest Rate

    • tradingeconomics.com
    • tr.tradingeconomics.com
    • +14more
    csv, excel, json, xml
    Updated May 7, 2025
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    TRADING ECONOMICS (2025). Brazil Interest Rate [Dataset]. https://tradingeconomics.com/brazil/interest-rate
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    xml, json, csv, excelAvailable download formats
    Dataset updated
    May 7, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Mar 5, 1999 - May 7, 2025
    Area covered
    Brazil
    Description

    The benchmark interest rate in Brazil was last recorded at 14.75 percent. This dataset provides - Brazil Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  4. Mortgage delinquency rate in the U.S. 2000-2025, by quarter

    • statista.com
    • ai-chatbox.pro
    Updated May 27, 2025
    + more versions
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    Statista (2025). Mortgage delinquency rate in the U.S. 2000-2025, by quarter [Dataset]. https://www.statista.com/statistics/205959/us-mortage-delinquency-rates-since-1990/
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    Dataset updated
    May 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Following the drastic increase directly after the COVID-19 pandemic, the delinquency rate started to gradually decline, falling below *** percent in the second quarter of 2023. In the second half of 2023, the delinquency rate picked up, but remained stable throughout 2024. In the first quarter of 2025, **** percent of mortgage loans were delinquent. That was significantly lower than the **** percent during the onset of the COVID-19 pandemic in 2020 or the peak of *** percent during the subprime mortgage crisis of 2007-2010. What does the mortgage delinquency rate tell us? The mortgage delinquency rate is the share of the total number of mortgaged home loans in the U.S. where payment is overdue by 30 days or more. Many borrowers eventually manage to service their loan, though, as indicated by the markedly lower foreclosure rates. Total home mortgage debt in the U.S. stood at almost ** trillion U.S. dollars in 2024. Not all mortgage loans are made equal ‘Subprime’ loans, being targeted at high-risk borrowers and generally coupled with higher interest rates to compensate for the risk. These loans have far higher delinquency rates than conventional loans. Defaulting on such loans was one of the triggers for the 2007-2010 financial crisis, with subprime delinquency rates reaching almost ** percent around this time. These higher delinquency rates translate into higher foreclosure rates, which peaked at just under ** percent of all subprime mortgages in 2011.

  5. g

    Official interest rates of reference of the mortgage market. Spain by period...

    • gimi9.com
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    Official interest rates of reference of the mortgage market. Spain by period | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_f64a11a37f7793ff3f7f61c689d33ddef862d614/
    Explore at:
    Area covered
    Spain
    Description

    This table provides monthly and annual data, since 1999, on the official mortgage market reference interest rates applied in Spain. The information refers only to Spain as a member of the euro zone, so the reference rates are those applied by the European Central Bank for the entire eurosystem and by the Bank of Spain for the entire Spanish national territory. Annual data represent the monthly average for the year as a whole.

  6. T

    Austria Prime Lending Rate

    • tradingeconomics.com
    • tr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Austria Prime Lending Rate [Dataset]. https://tradingeconomics.com/austria/bank-lending-rate
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    excel, xml, csv, jsonAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    May 31, 1999 - Apr 30, 2025
    Area covered
    Austria
    Description

    Bank Lending Rate in Austria decreased to 4.22 percent in April from 4.39 percent in March of 2025. This dataset provides - Austria Prime Lending Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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

    • www150.statcan.gc.ca
    • thelearningbarn.org
    • +3more
    Updated May 15, 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
    May 15, 2025
    Dataset provided by
    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 (1 items: Canada ...).

  8. c

    Survey of Mortgage Lenders, 1999

    • datacatalogue.cessda.eu
    Updated Nov 28, 2024
    + more versions
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    Department of the Environment (2024). Survey of Mortgage Lenders, 1999 [Dataset]. http://doi.org/10.5255/UKDA-SN-4420-1
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    Dataset updated
    Nov 28, 2024
    Dataset provided by
    Transport and the Regions
    Authors
    Department of the Environment
    Area covered
    United Kingdom
    Variables measured
    Institutions/organisations, National, Mortgage lenders
    Measurement technique
    Postal survey
    Description

    Abstract copyright UK Data Service and data collection copyright owner.

    The Survey of Mortgage Lenders (SML) was launched on 1st April 1992 to succeed the 5% Sample Survey of Building Society Mortgage Completions (BSM) (See GN:33191). The aims were to improve the survey in three principal ways:
    a) to broaden the range of institutions surveyed to incorporate other mortgage lenders in addition to building societies and Abbey National. With the entry of the high street banks and then the centralised lenders into the mortgage market, information provided by the building societies no longer represented the whole market in the way it did when the BSM was set up in the 1960s.
    b) to extend its coverage to include further advances, remortgages and top-up loans in addition to first mortgages.
    c) to increase the level of detail on the questionnaire especially with respect to the characteristics of the mortgage loan.
    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.
    Main Topics:
    Financial institution code, date mortgage completed, whether dwelling is wholly or partly occupied by borrower. Mortgage amount, type of advance, whether solely for purchase of property, period of mortgage, gross rate of interest, whether the interest charged is fixed or variable rate, whether interest payments are discounted or deferred, repayment method, source of mortgage business, purchase price and whether discounted in any way, location of dwelling, whether new, age of dwelling, type of dwelling, number of habitable rooms, number, sex and age of borrowers, basic income of main borrower, other income and total income on which mortgage is based, whether applicant previously owner occupier, previous tenure.

  9. Monthly consumer confidence to buy a house in the U.S. 1999-2022, by age...

    • statista.com
    Updated Jan 28, 2025
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    Statista (2025). Monthly consumer confidence to buy a house in the U.S. 1999-2022, by age group [Dataset]. https://www.statista.com/statistics/1240669/buying-conditions-for-housing-usa-by-age/
    Explore at:
    Dataset updated
    Jan 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 2022
    Area covered
    United States
    Description

    Consumers in the United States from various age groups mostly considered that the current conditions were unfavorable for buying a home as of December 2022. Consumer sentiment steeply declined in 2021, amid surging house prices and increasing mortgage rates. Respondents aged 18 to 34 were the least positive, whereas respondents in the age group 55 and older had a slightly higher index score, suggesting they were slightly less pessimistic. The index value of 36 in this age group means there were 36 percent more more negative responses than positive ones.

  10. Singapore Housing Loan Rate for 15 Years: 10 Finance Co Average

    • ceicdata.com
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    CEICdata.com, Singapore Housing Loan Rate for 15 Years: 10 Finance Co Average [Dataset]. https://www.ceicdata.com/en/singapore/lending-rate/housing-loan-rate-for-15-years-10-finance-co-average
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    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 1, 2017 - May 1, 2018
    Area covered
    Singapore
    Variables measured
    Lending Rate
    Description

    Singapore Housing Loan Rate for 15 Years: 10 Finance Co Average data was reported at 3.160 % pa in Sep 2018. This stayed constant from the previous number of 3.160 % pa for Aug 2018. Singapore Housing Loan Rate for 15 Years: 10 Finance Co Average data is updated monthly, averaging 6.160 % pa from Jan 1983 (Median) to Sep 2018, with 429 observations. The data reached an all-time high of 12.420 % pa in Jan 1983 and a record low of 2.870 % pa in Jul 2013. Singapore Housing Loan Rate for 15 Years: 10 Finance Co Average data remains active status in CEIC and is reported by Monetary Authority of Singapore. The data is categorized under Global Database’s Singapore – Table SG.M001: Lending Rate.

  11. f

    S1 Data -

    • plos.figshare.com
    bin
    Updated Aug 11, 2023
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    Shiting Ding; Qintian Pan; Yanming Zhang; Jingru Zhang; Qiong Yang; Jingdong Luan (2023). S1 Data - [Dataset]. http://doi.org/10.1371/journal.pone.0290079.s001
    Explore at:
    binAvailable download formats
    Dataset updated
    Aug 11, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Shiting Ding; Qintian Pan; Yanming Zhang; Jingru Zhang; Qiong Yang; Jingdong Luan
    License

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

    Description

    The Chinese economy has undergone a long-term transition reform, but there is still a planned economy characteristic in the financial sector, which is financial repression. Due to the existence of financial repression, China’s actual interest rate level should be lower than the Consumer Price Index (CPI). However, based on official China’s interest rates and CPI, over half of the years China’s actual interest rate remained higher than CPI by our calculation from 1999 to 2022. This is inconsistent with the financial repression that exists in China, and the main reason is the calculation methods of China’s CPI. China’s CPI measurement system originated from the planned economy era, which did not fully consider the rise in housing purchase prices, so the current CPI measurement system can be more realistically presented by taking the rise in housing prices into consider. The core idea of this study is to mining relevant official statistical data and calculate the proportion of Chinese residents’ expenditure on purchasing houses to their total expenditure. By taking the proportion of house purchases as the weight of house price factor, and taking the proportion of other consumption as the weight of official CPI, the Generalized CPI (GCPI) is formulated. The GCPI is then compared with market interest rates to determine the actual interest rate situation in China over the past 20 years. This study has found that if GCPI is used as a measure, China’s real interest rates have been negative for most years since 1999. Chinese residents have suffered the negative effects of financial repression over the past 20 years, and their property income cannot keep up with the actual losses caused by inflation. Therefore, it is believed that China’s CPI calculation method should be adjusted to take into account the rise in housing prices, so China’s actual inflation level could be more accurately reflected. In view of the above, deepening interest rate marketization reform and expand channels for financial investment are the future development goals of China’s financial system.

  12. T

    South Korea Interest Rate

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +14more
    csv, excel, json, xml
    Updated May 29, 2025
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    TRADING ECONOMICS (2025). South Korea Interest Rate [Dataset]. https://tradingeconomics.com/south-korea/interest-rate
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    xml, excel, json, csvAvailable download formats
    Dataset updated
    May 29, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    May 6, 1999 - Jun 30, 2025
    Area covered
    South Korea
    Description

    The benchmark interest rate in South Korea was last recorded at 2.50 percent. This dataset provides - South Korea Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  13. T

    Hong Kong Interest Rate

    • tradingeconomics.com
    • tr.tradingeconomics.com
    • +14more
    csv, excel, json, xml
    Updated May 15, 2025
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    TRADING ECONOMICS (2025). Hong Kong Interest Rate [Dataset]. https://tradingeconomics.com/hong-kong/interest-rate
    Explore at:
    xml, json, excel, csvAvailable download formats
    Dataset updated
    May 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Sep 7, 1998 - May 8, 2025
    Area covered
    Hong Kong
    Description

    The benchmark interest rate in Hong Kong was last recorded at 4.75 percent. This dataset provides the latest reported value for - Hong Kong Interest Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  14. T

    Ireland Interest Rate

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Ireland Interest Rate [Dataset]. https://tradingeconomics.com/ireland/interest-rate
    Explore at:
    json, excel, csv, xmlAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Dec 18, 1998 - Jun 5, 2025
    Area covered
    Ireland
    Description

    The benchmark interest rate in Ireland was last recorded at 4.50 percent. This dataset provides - Ireland Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  15. M

    10 Year Treasury Yield

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). 10 Year Treasury Yield [Dataset]. https://www.macrotrends.net/2016/10-year-treasury-bond-rate-yield-chart
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    1915 - 2025
    Area covered
    United States
    Description

    Interactive chart showing the daily 10 year treasury yield back to 1962. The 10 year treasury is the benchmark used to decide mortgage rates across the U.S. and is the most liquid and widely traded bond in the world.

  16. Housing affordability index in the U.S. 2000-2024

    • statista.com
    Updated May 27, 2025
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    Statista (2025). Housing affordability index in the U.S. 2000-2024 [Dataset]. https://www.statista.com/statistics/201568/change-in-the-composite-us-housing-affordability-index-since-1975/
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    Dataset updated
    May 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The Housing Affordability Index value in the United States plummeted in 2022, surpassing the historical record of 107.1 index points in 2006. In 2024, the housing affordability index measured 98.1 index points, making it the second-worst year for homebuyers since the start of the observation period. What does the Housing Affordability Index mean? The Housing Affordability Index uses data provided by the National Association of Realtors (NAR). It measures whether a family earning the national median income can afford the monthly mortgage payments on a median-priced existing single-family home. An index value of 100 means that a family has exactly enough income to qualify for a mortgage on a home. The higher the index value, the more affordable a house is to a family. Key factors that drive the real estate market Income, house prices, and mortgage rates are some of the most important factors influencing homebuyer sentiment. When incomes increase, consumer power also increases. The median household income in the United States declined in 2022, affecting affordability. Additionally, mortgage interest rates have soared, adding to the financial burden of homebuyers. The sales price of existing single-family homes in the U.S. has increased year-on-year since 2011 and reached 389,000 U.S. dollars in 2023.

  17. Annual Fed funds effective rate in the U.S. 1990-2024

    • statista.com
    • ai-chatbox.pro
    Updated Jan 3, 2025
    + more versions
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    Statista (2025). Annual Fed funds effective rate in the U.S. 1990-2024 [Dataset]. https://www.statista.com/statistics/247941/federal-funds-rate-level-in-the-united-states/
    Explore at:
    Dataset updated
    Jan 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The U.S. federal funds rate peaked in 2023 at its highest level since the 2007-08 financial crisis, reaching 5.33 percent by December 2023. A significant shift in monetary policy occurred in the second half of 2024, with the Federal Reserve implementing regular rate cuts. By December 2024, the rate had declined to 4.48 percent. What is a central bank rate? The federal funds rate determines the cost of overnight borrowing between banks, allowing them to maintain necessary cash reserves and ensure financial system liquidity. When this rate rises, banks become more inclined to hold rather than lend money, reducing the money supply. While this decreased lending slows economic activity, it helps control inflation by limiting the circulation of money in the economy. Historic perspective The federal funds rate historically follows cyclical patterns, falling during recessions and gradually rising during economic recoveries. Some central banks, notably the European Central Bank, went beyond traditional monetary policy by implementing both aggressive asset purchases and negative interest rates.

  18. f

    Comparison of CPI and GCPI.

    • plos.figshare.com
    bin
    Updated Aug 11, 2023
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    Shiting Ding; Qintian Pan; Yanming Zhang; Jingru Zhang; Qiong Yang; Jingdong Luan (2023). Comparison of CPI and GCPI. [Dataset]. http://doi.org/10.1371/journal.pone.0290079.t002
    Explore at:
    binAvailable download formats
    Dataset updated
    Aug 11, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Shiting Ding; Qintian Pan; Yanming Zhang; Jingru Zhang; Qiong Yang; Jingdong Luan
    License

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

    Description

    The Chinese economy has undergone a long-term transition reform, but there is still a planned economy characteristic in the financial sector, which is financial repression. Due to the existence of financial repression, China’s actual interest rate level should be lower than the Consumer Price Index (CPI). However, based on official China’s interest rates and CPI, over half of the years China’s actual interest rate remained higher than CPI by our calculation from 1999 to 2022. This is inconsistent with the financial repression that exists in China, and the main reason is the calculation methods of China’s CPI. China’s CPI measurement system originated from the planned economy era, which did not fully consider the rise in housing purchase prices, so the current CPI measurement system can be more realistically presented by taking the rise in housing prices into consider. The core idea of this study is to mining relevant official statistical data and calculate the proportion of Chinese residents’ expenditure on purchasing houses to their total expenditure. By taking the proportion of house purchases as the weight of house price factor, and taking the proportion of other consumption as the weight of official CPI, the Generalized CPI (GCPI) is formulated. The GCPI is then compared with market interest rates to determine the actual interest rate situation in China over the past 20 years. This study has found that if GCPI is used as a measure, China’s real interest rates have been negative for most years since 1999. Chinese residents have suffered the negative effects of financial repression over the past 20 years, and their property income cannot keep up with the actual losses caused by inflation. Therefore, it is believed that China’s CPI calculation method should be adjusted to take into account the rise in housing prices, so China’s actual inflation level could be more accurately reflected. In view of the above, deepening interest rate marketization reform and expand channels for financial investment are the future development goals of China’s financial system.

  19. Mortgage and landlord possession statistics: April to June 2013

    • gov.uk
    Updated Aug 8, 2013
    + more versions
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    Ministry of Justice (2013). Mortgage and landlord possession statistics: April to June 2013 [Dataset]. https://www.gov.uk/government/statistics/mortgage-and-landlord-possession-statistics-quarterly-april-to-june-2013
    Explore at:
    Dataset updated
    Aug 8, 2013
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Ministry of Justice
    Description

    The quarterly releases are released by the Ministry of Justice and produced in accordance with arrangements approved by the UK Statistics Authority. The bulletin presents the latest statistics on the numbers of mortgage and landlord possession actions in the county courts of England and Wales. These statistics are a leading indicator of the number of properties to be repossessed and the only source of sub-national possession information. In addition to monitoring court workloads, they are used to assist in the development, monitoring and evaluation of policy both nationally and locally.

    Executive summary

    Mortgage

    The number of mortgage possession claims in County Courts increased from 2003 to a peak in 2008, but has fallen 70% since then to 12,882 in the second quarter of 2013. The fall in mortgage claims has been spread evenly across all regions of the country.

    The fall in the number of mortgage possession claims since 2008 coincides with lower interest rates, a proactive approach from lenders in managing consumers in financial difficulties and other interventions from the government, such as the Mortgage Rescue Scheme.

    At the same time the number of claims rose, the estimated proportion of claims which have progressed to an order, warrant or repossession by county court bailiffs also increased from 2003 to around 2009 or 2010, but has fallen slightly since.

    Landlord

    The number of landlord possession claims in County Courts fell from 2003 to 2008, but has increased since then by 8% to 39,293 in the second quarter of 2013. The increase has been higher in London than in other regions of the country.

    The estimated proportion of claims which have progressed to an order, warrant or repossession by county court bailiffs have been increasing slightly since 2009.

    Changes

    We have made some changes to this bulletin, which are outlined below. These changes were announced in the previous bulletin and feedback was sought. Feedback did not show opposition to these proposals.

    Seasonally adjusted figures:

    We have discontinued production of these tables, as feedback suggested limited customer use, as customers prefer the clarity of using actual figures rather than adjusted figures.

    Tables 5 and 6:

    We have discontinued production of Tables 5 and 6 which provided breakdowns at the national level of landlord possession claims and claims lead to orders by type of landlord and procedure. Instead information at the local level is provided in the supplementary CSV. This provides users with the local picture regarding this data and allows users to aggregate it in ways that suit their own needs. Those users who would prefer to use the tables can request them from the Ministry of Justice using the contact provided at the end of this report.

    Measuring the volume of orders, warrants and repossessions:

    Previously, the figures presented in this bulletin were claims that lead to orders, claims that lead to warrants, and claims that lead to repossessions. This counted the number of orders, warrants or repossessions that are unique to a claim, so that if one claim had two or more orders only the first was counted. In this bulletin, they have been replaced with the total number of orders, warrants and repossessions. We believe this will be simpler to understand and will be a more accurate reflection of the court workload. Annex C provides more details on these changes.

    Mortgage and landlord possession statistical tables (CSV):

    This CSV contained the same information as the main tables with some additional breakdowns between 1999 and 2007 by quarter. We discontinued production of this output. Feedback from customers suggests there is rather limited use of this output, as customers find the main tables more straightforward to understand and can find quarterly information from the other supplementary CSV, which also provide local breakdowns on a quarterly basis.

    As a result of these proposed changes the possessions publication consists of a

    • bulletin describing headline results,
    • supported by tables providing headline results,
    • supported by CSV providing court-level and local-authority breakdowns on a wider range of variables than in the main tables,
    • supported by a guide which explain how to get the most out of the CSV.

    Revision and pre-release policy

    Revisions: The statistics for the second quarter of 2013 are provisional, and are therefore liable to revision to take account of any late amendments to the administrative databases from which these statistics are sourced. The standard process for revising the published statistics to account for these late amendments is as follows. An initial

  20. ECB fixed interest rate 2008-2025

    • statista.com
    • ai-chatbox.pro
    Updated May 5, 2025
    + more versions
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    Statista (2025). ECB fixed interest rate 2008-2025 [Dataset]. https://www.statista.com/statistics/621489/fluctuation-of-fixed-rate-interest-rates-ecb/
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    Dataset updated
    May 5, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Europe
    Description

    In June 2024, the European Central Bank (ECB) began reducing its fixed interest rate for the first time since 2016, implementing a series of cuts. The rate decreased from 4.5 percent to 3.15 percent by year-end: a 0.25 percentage point cut in June, followed by additional reductions in September, October, and December. The central bank implemented other cuts in early 2025, setting the rate at 2.4 percent in April 2025. This marked a significant shift from the previous rate hike cycle, which began in July 2022 when the ECB raised rates to 0.5 percent and subsequently increased them almost monthly, reaching 4.5 percent by December 2023 - the highest level since the 2007-2008 global financial crisis. How does this ensure liquidity? Banks typically hold only a fraction of their capital in cash, measured by metrics like the Tier 1 capital ratio. Since this ratio is low, banks prefer to allocate most of their capital to revenue-generating loans. When their cash reserves fall too low, banks borrow from the ECB to cover short-term liquidity needs. On the other hand, commercial banks can also deposit excess funds with the ECB at a lower interest rate. Reasons for fluctuations
    The ECB’s primary mandate is to maintain price stability. The Euro area inflation rate is, in theory, the key indicator guiding the ECB's actions. When the fixed interest rate is lower, commercial banks are more likely to borrow from the ECB, increasing the money supply and, in turn, driving inflation higher. When inflation rises, the ECB increases the fixed interest rate, which slows borrowing and helps to reduce inflation.

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(2025). 15-Year Fixed Rate Mortgage Average in the United States [Dataset]. https://fred.stlouisfed.org/series/MORTGAGE15US

15-Year Fixed Rate Mortgage Average in the United States

MORTGAGE15US

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6 scholarly articles cite this dataset (View in Google Scholar)
jsonAvailable download formats
Dataset updated
Jun 5, 2025
License

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

Area covered
United States
Description

Graph and download economic data for 15-Year Fixed Rate Mortgage Average in the United States (MORTGAGE15US) from 1991-08-30 to 2025-06-05 about 15-year, fixed, mortgage, interest rate, interest, rate, and USA.

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