100+ datasets found
  1. T

    United States Fed Funds Interest Rate

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 2, 2025
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    TRADING ECONOMICS (2025). United States Fed Funds Interest Rate [Dataset]. https://tradingeconomics.com/united-states/interest-rate
    Explore at:
    xml, excel, json, csvAvailable download formats
    Dataset updated
    Jul 2, 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
    Aug 4, 1971 - Jun 18, 2025
    Area covered
    United States
    Description

    The benchmark interest rate in the United States was last recorded at 4.50 percent. This dataset provides the latest reported value for - United States Fed Funds Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  2. T

    Euro Area Interest Rate

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Feb 1, 2001
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    TRADING ECONOMICS (2001). Euro Area Interest Rate [Dataset]. https://tradingeconomics.com/euro-area/interest-rate
    Explore at:
    xml, json, csv, excelAvailable download formats
    Dataset updated
    Feb 1, 2001
    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
    Euro Area
    Description

    The benchmark interest rate In the Euro Area was last recorded at 2.15 percent. This dataset provides - Euro Area Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  3. United States Interest Rates: 12 Months Expectation: Lower

    • ceicdata.com
    Updated Feb 15, 2025
    + more versions
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    CEICdata.com (2025). United States Interest Rates: 12 Months Expectation: Lower [Dataset]. https://www.ceicdata.com/en/united-states/consumer-confidence-index-interest-rate-expectation/interest-rates-12-months-expectation-lower
    Explore at:
    Dataset updated
    Feb 15, 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
    United States
    Variables measured
    Consumer Survey
    Description

    United States Interest Rates: 12 Months Expectation: Lower data was reported at 21.400 % in Apr 2025. This records a decrease from the previous number of 23.300 % for Mar 2025. United States Interest Rates: 12 Months Expectation: Lower data is updated monthly, averaging 12.100 % from Jun 1987 (Median) to Apr 2025, with 455 observations. The data reached an all-time high of 45.800 % in Jan 1991 and a record low of 5.200 % in Jun 2018. United States Interest Rates: 12 Months Expectation: Lower data remains active status in CEIC and is reported by The Conference Board. The data is categorized under Global Database’s United States – Table US.H051: Consumer Confidence Index: Interest Rate Expectation. [COVID-19-IMPACT]

  4. T

    Indonesia Interest Rate

    • tradingeconomics.com
    • fr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 21, 2025
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    TRADING ECONOMICS (2025). Indonesia Interest Rate [Dataset]. https://tradingeconomics.com/indonesia/interest-rate
    Explore at:
    excel, json, csv, xmlAvailable download formats
    Dataset updated
    May 21, 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
    Nov 1, 2005 - Jun 18, 2025
    Area covered
    Indonesia
    Description

    The benchmark interest rate in Indonesia was last recorded at 5.50 percent. This dataset provides - Indonesia Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  5. United States CSI: Expected Interest Rates: Next Yr: Go Down

    • ceicdata.com
    Updated Nov 27, 2021
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    CEICdata.com (2021). United States CSI: Expected Interest Rates: Next Yr: Go Down [Dataset]. https://www.ceicdata.com/en/united-states/consumer-sentiment-index-unemployment-interest-rates-prices-and-government-expectations/csi-expected-interest-rates-next-yr-go-down
    Explore at:
    Dataset updated
    Nov 27, 2021
    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
    Apr 1, 2017 - Mar 1, 2018
    Area covered
    United States
    Description

    United States CSI: Expected Interest Rates: Next Yr: Go Down data was reported at 4.000 % in May 2018. This records a decrease from the previous number of 6.000 % for Apr 2018. United States CSI: Expected Interest Rates: Next Yr: Go Down data is updated monthly, averaging 11.000 % from Jan 1978 (Median) to May 2018, with 485 observations. The data reached an all-time high of 54.000 % in Jun 1980 and a record low of 3.000 % in May 2014. United States CSI: Expected Interest Rates: Next Yr: Go Down data remains active status in CEIC and is reported by University of Michigan. The data is categorized under Global Database’s USA – Table US.H030: Consumer Sentiment Index: Unemployment, Interest Rates, Prices and Government Expectations. The question was: No one can say for sure, but what do you think will happen to interest rates for borrowing money during the next 12 months -- will they go up, stay the same, or go down?

  6. T

    Norway Interest Rate

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 19, 2025
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    TRADING ECONOMICS (2025). Norway Interest Rate [Dataset]. https://tradingeconomics.com/norway/interest-rate
    Explore at:
    xml, excel, csv, jsonAvailable download formats
    Dataset updated
    Jun 19, 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
    Jan 1, 1991 - Jun 19, 2025
    Area covered
    Norway
    Description

    The benchmark interest rate in Norway was last recorded at 4.25 percent. This dataset provides the latest reported value for - Norway Interest Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  7. Zimbabwe ZW: Real Interest Rate

    • ceicdata.com
    Updated Apr 20, 2019
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    CEICdata.com (2019). Zimbabwe ZW: Real Interest Rate [Dataset]. https://www.ceicdata.com/en/zimbabwe/interest-rates/zw-real-interest-rate
    Explore at:
    Dataset updated
    Apr 20, 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
    Dec 1, 2000 - Dec 1, 2016
    Area covered
    Zimbabwe
    Description

    Zimbabwe ZW: Real Interest Rate data was reported at 5.728 % pa in 2016. This records a decrease from the previous number of 7.576 % pa for 2015. Zimbabwe ZW: Real Interest Rate data is updated yearly, averaging 34.675 % pa from Dec 1980 (Median) to 2016, with 32 observations. The data reached an all-time high of 572.936 % pa in 2007 and a record low of 4.257 % pa in 1980. Zimbabwe ZW: Real Interest Rate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Zimbabwe – Table ZW.World Bank.WDI: Interest Rates. Real interest rate is the lending interest rate adjusted for inflation as measured by the GDP deflator. The terms and conditions attached to lending rates differ by country, however, limiting their comparability.; ; International Monetary Fund, International Financial Statistics and data files using World Bank data on the GDP deflator.; ;

  8. Lending Club Loan Data Analysis - Deep Learning

    • kaggle.com
    Updated Aug 9, 2023
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    Deependra Verma (2023). Lending Club Loan Data Analysis - Deep Learning [Dataset]. https://www.kaggle.com/datasets/deependraverma13/lending-club-loan-data-analysis-deep-learning
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 9, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Deependra Verma
    Description

    DESCRIPTION

    Create a model that predicts whether or not a loan will be default using the historical data.

    Problem Statement:

    For companies like Lending Club correctly predicting whether or not a loan will be a default is very important. In this project, using the historical data from 2007 to 2015, you have to build a deep learning model to predict the chance of default for future loans. As you will see later this dataset is highly imbalanced and includes a lot of features that make this problem more challenging.

    Domain: Finance

    Analysis to be done: Perform data preprocessing and build a deep learning prediction model.

    Content:

    Dataset columns and definition:

    credit.policy: 1 if the customer meets the credit underwriting criteria of LendingClub.com, and 0 otherwise.

    purpose: The purpose of the loan (takes values "credit_card", "debt_consolidation", "educational", "major_purchase", "small_business", and "all_other").

    int.rate: The interest rate of the loan, as a proportion (a rate of 11% would be stored as 0.11). Borrowers judged by LendingClub.com to be more risky are assigned higher interest rates.

    installment: The monthly installments owed by the borrower if the loan is funded.

    log.annual.inc: The natural log of the self-reported annual income of the borrower.

    dti: The debt-to-income ratio of the borrower (amount of debt divided by annual income).

    fico: The FICO credit score of the borrower.

    days.with.cr.line: The number of days the borrower has had a credit line.

    revol.bal: The borrower's revolving balance (amount unpaid at the end of the credit card billing cycle).

    revol.util: The borrower's revolving line utilization rate (the amount of the credit line used relative to total credit available).

    inq.last.6mths: The borrower's number of inquiries by creditors in the last 6 months.

    delinq.2yrs: The number of times the borrower had been 30+ days past due on a payment in the past 2 years.

    pub.rec: The borrower's number of derogatory public records (bankruptcy filings, tax liens, or judgments).

    Steps to perform:

    Perform exploratory data analysis and feature engineering and then apply feature engineering. Follow up with a deep learning model to predict whether or not the loan will be default using the historical data.

    Tasks:

    1. Feature Transformation

    Transform categorical values into numerical values (discrete)

    1. Exploratory data analysis of different factors of the dataset.

    2. Additional Feature Engineering

    You will check the correlation between features and will drop those features which have a strong correlation

    This will help reduce the number of features and will leave you with the most relevant features

    1. Modeling

    After applying EDA and feature engineering, you are now ready to build the predictive models

    In this part, you will create a deep learning model using Keras with Tensorflow backend

  9. J

    Predicting interest rates using shrinkage methods, real‐time diffusion...

    • journaldata.zbw.eu
    txt, zip
    Updated Dec 7, 2022
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    Norman R. Swanson; Weiqi Xiong; Xiye Yang; Norman R. Swanson; Weiqi Xiong; Xiye Yang (2022). Predicting interest rates using shrinkage methods, real‐time diffusion indexes, and model combinations (replication data) [Dataset]. http://doi.org/10.15456/jae.2022327.0713430252
    Explore at:
    txt(1687), zip(59407188)Available download formats
    Dataset updated
    Dec 7, 2022
    Dataset provided by
    ZBW - Leibniz Informationszentrum Wirtschaft
    Authors
    Norman R. Swanson; Weiqi Xiong; Xiye Yang; Norman R. Swanson; Weiqi Xiong; Xiye Yang
    License

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

    Description

    In the context of predicting the term structure of interest rates, we explore the marginal predictive content of real-time macroeconomic diffusion indexes extracted from a data rich real-time data set, when used in dynamic Nelson-Siegel (NS) models of the variety discussed in Svensson (NBER technical report, 1994; NSS) and Diebold and Li (Journal of Econometrics, 2006, 130, 337-364; DNS). Our diffusion indexes are constructed using principal component analysis with both targeted and untargeted predictors, with targeting done using the lasso and elastic net. Our findings can be summarized as follows. First, the marginal predictive content of real-time diffusion indexes is significant for the preponderance of the individual models that we examine. The exception to this finding is the post Great Recession period. Second, forecast combinations that include only yield variables result in our most accurate predictions, for most sample periods and maturities. In this case, diffusion indexes do not have marginal predictive content for yields and do not seem to reflect unspanned risks. This points to the continuing usefulness of DNS and NSS models that are purely yield driven. Finally, we find that the use of fully revised macroeconomic data may have an important confounding effect upon results obtained when forecasting yields, as prior research has indicated that diffusion indexes are often useful for predicting yields when constructed using fully revised data, regardless of whether forecast combination is used, or not. Nevertheless, our findings also underscore the potential importance of using machine learning, data reduction, and shrinkage methods in contexts such as term structure modeling.

  10. T

    Japan Interest Rate

    • tradingeconomics.com
    • ru.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 17, 2025
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    TRADING ECONOMICS (2025). Japan Interest Rate [Dataset]. https://tradingeconomics.com/japan/interest-rate
    Explore at:
    excel, xml, json, csvAvailable download formats
    Dataset updated
    Jun 17, 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
    Oct 2, 1972 - Jun 17, 2025
    Area covered
    Japan
    Description

    The benchmark interest rate in Japan was last recorded at 0.50 percent. This dataset provides - Japan Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  11. Interest Rates

    • data.amerigeoss.org
    • cloud.csiss.gmu.edu
    xls
    Updated Jul 5, 2016
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    Bank of Jamaica (2016). Interest Rates [Dataset]. https://data.amerigeoss.org/bg/dataset/interest-rates
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jul 5, 2016
    Dataset provided by
    Bank of Jamaicahttp://www.boj.org.jm/
    Description

    Current Deposit & Loan Rates - These rates are compiled from information reported by the commercial banks to the Economic Information and Publications Department. The rates of interest being offered on time deposits relate to amounts J$100,000 and over. The savings rate represents an average range of rates offered on all categories of savings deposits. The average lending rate is a simple average of the range of interest rates offered on demand loans only.

    Domestic Interest Rates (Commercial Banks Weighted Deposit Rates) - Compiled from monthly reports submitted by the commercial banks. These rates are based on actual volumes of all local currency deposits and loans extended at non zero rates of interest.

    Domestic Interest Rates (Commercial Banks Weighted Time Deposit Rates) - Compiled from monthly reports submitted by the commercial banks. These rates are based on actual volumes of all local currency deposits and loans extended at non zero rates of interest.

    Domestic Interest Rates (Commercial Banks Weighted Loan Rates) - Compiled from monthly reports submitted by the commercial banks. These rates are based on actual volumes of all local currency deposits and loans extended at non zero rates of interest.

    Foreign Currency Interest Rates (Commercial Banks Weighted Time Deposit Rates) - Compiled from monthly reports submitted by the commercial banks. These rates are based on actual volumes of all foreign currency deposits and loans extended at non zero rates of interest.

    Foreign Currency Interest Rates (Commercial Banks Weighted Loan Rates) - Compiled from monthly reports submitted by the commercial banks. These rates are based on actual volumes of all foreign currency deposits and loans extended at non zero rates of interest.

    Comparative Bank Rates & Treasury Bill Rates - The average discount rate on three-month Treasury Bills or six month Treasury Bills in the case of Jamaica. The average discount rates for respective countries are sourced from the International Financial Statistics, an International Monetary Fund publication.

    Private Money Markets Interest Rates

    BOJ Interest Rates On Lending Facilities For DTI's - These interest rates fall under the Enhanced Liquidity Management Framework (ELMF), which was implemented by the Bank in 2013, for DTI.

    Source: http://boj.org.jm/statistics/econdata/stats_list.php?type=5

  12. Quarterly Market Information Indices - Dataset - data.gov.ie

    • data.gov.ie
    Updated Dec 9, 2016
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    data.gov.ie (2016). Quarterly Market Information Indices - Dataset - data.gov.ie [Dataset]. https://data.gov.ie/dataset/quarterly-market-information-indices
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    Dataset updated
    Dec 9, 2016
    Dataset provided by
    data.gov.ie
    License

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

    Description

    House price index is based on average new house price value at loan approval stage and therefore has not been adjusted for changes in the mix of houses and apartments sold. Interest rates is based on building societies mortgage loans, published by Central Statistics Office up to 2007. From 2008 interest rates is average rate of all 'mortgage lenders' reporting to the Central Bank. From 2014 it is based on the floating rate for new customers as published by the Central Bank (Retail interest rates - Table B2.1). The reason for the drop between 2013 and 2014 is due to the difference in methodology - the 2014 data is the weighted average rate on new loan agreements. Further information can be found here: http://www.centralbank.ie/polstats/stats/cmab/Documents/Retail_Interest_Rate_Statistics_Explanatory_Notes.pdf Earnings is based on the average weekly earnings of adult workers in manufacturing industries, published by the Central Statistics Office. This series has been updated since 1996 using a new methodology and therefore it is not directly comparable with those for earlier years. House Construction Cost Index is based on the 1st day of the third month of each quarter. Consumer Price index is based on the Consumer Price Index, published by the Central Statistics Office. The most current data is published on these sheets. Previously published data may be subject to revision. Any change from the originally published data will be highlighted by a comment on the cell in question. These comments will be maintained for at least a year after the date of the value change.

  13. F

    Interest Rates, Discount Rate for United States

    • fred.stlouisfed.org
    json
    Updated Oct 4, 2021
    + more versions
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    (2021). Interest Rates, Discount Rate for United States [Dataset]. https://fred.stlouisfed.org/series/INTDSRUSM193N
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Oct 4, 2021
    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 Interest Rates, Discount Rate for United States (INTDSRUSM193N) from Jan 1950 to Aug 2021 about discount, interest rate, interest, rate, and USA.

  14. F

    Data from: Effective Federal Funds Rate

    • fred.stlouisfed.org
    json
    Updated Jul 3, 2025
    + more versions
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    (2025). Effective Federal Funds Rate [Dataset]. https://fred.stlouisfed.org/series/EFFR
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 3, 2025
    License

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

    Description

    View data of the Effective Federal Funds Rate, or the interest rate depository institutions charge each other for overnight loans of funds.

  15. Norway NO: Short-Term Interest Rate: Single Hit Scenario

    • ceicdata.com
    Updated Jun 15, 2023
    + more versions
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    CEICdata.com (2023). Norway NO: Short-Term Interest Rate: Single Hit Scenario [Dataset]. https://www.ceicdata.com/en/norway/interest-rate-forecast-oecd-member-annual/no-shortterm-interest-rate-single-hit-scenario
    Explore at:
    Dataset updated
    Jun 15, 2023
    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
    Dec 1, 2010 - Dec 1, 2021
    Area covered
    Norway
    Variables measured
    Money Market Rate
    Description

    Norway NO: Short-Term Interest Rate: Single Hit Scenario data was reported at 0.343 % in 2021. This records a decrease from the previous number of 0.672 % for 2020. Norway NO: Short-Term Interest Rate: Single Hit Scenario data is updated yearly, averaging 6.827 % from Dec 1970 (Median) to 2021, with 52 observations. The data reached an all-time high of 15.367 % in 1982 and a record low of 0.343 % in 2021. Norway NO: Short-Term Interest Rate: Single Hit Scenario data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Norway – Table NO.OECD.EO: Interest Rate: Forecast: OECD Member: Annual. IRS - Short-term interest rate Short-term interest:https://stats.oecd.org/glossary/detail.asp?ID=1394; 3-month NIBOR rate (euro-kroner interest rates based on monthly averages of quoted daily selling rates for five big banks)

  16. Croatia HR: Real Interest Rate

    • ceicdata.com
    Updated Dec 15, 2024
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    CEICdata.com (2024). Croatia HR: Real Interest Rate [Dataset]. https://www.ceicdata.com/en/croatia/interest-rates/hr-real-interest-rate
    Explore at:
    Dataset updated
    Dec 15, 2024
    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
    Dec 1, 2003 - Dec 1, 2014
    Area covered
    Croatia
    Variables measured
    Money Market Rate
    Description

    Croatia HR: Real Interest Rate data was reported at 8.443 % pa in 2014. This records a decrease from the previous number of 8.452 % pa for 2013. Croatia HR: Real Interest Rate data is updated yearly, averaging 7.835 % pa from Dec 1993 (Median) to 2014, with 22 observations. The data reached an all-time high of 17.991 % pa in 1996 and a record low of -41.957 % pa in 1994. Croatia HR: Real Interest Rate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Croatia – Table HR.World Bank.WDI: Interest Rates. Real interest rate is the lending interest rate adjusted for inflation as measured by the GDP deflator. The terms and conditions attached to lending rates differ by country, however, limiting their comparability.;International Monetary Fund, International Financial Statistics and data files using World Bank data on the GDP deflator.;;

  17. d

    5.04 Bond Rating (summary)

    • catalog.data.gov
    • performance.tempe.gov
    • +7more
    Updated Jan 17, 2025
    + more versions
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    City of Tempe (2025). 5.04 Bond Rating (summary) [Dataset]. https://catalog.data.gov/dataset/5-04-bond-rating-summary-b40cc
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    Dataset updated
    Jan 17, 2025
    Dataset provided by
    City of Tempe
    Description

    An important indicator of the financial strength of governmental entity is its bond rating. The bond rating is similar in nature to the credit score of an individual – the higher the score, the better the ability to borrow money to finance purchases at a lower interest rate. Similarly, the higher the bond rating for a governmental entity, the more opportunities to borrow money for capital needs at lower interest rates. A high bond rating is in excellent indicator of the overall financial health of a government.This measure is obtained each year when the city seeks to issue bonds to finance its’ projects. As part of this process, bond ratings are always obtained from the rating agencies: Standard & Poor’s. Fitch Ratings and Moody's Investor Service.This page provides data for the Bond Rating performance measure.Bond ratings are a reflection of the financial strength of an entity. A high rating means an entity can issue bonds to finance capital projects at lower interest rates; lower rates result in less interest to be paid on the repayment of the bonds. Ultimately, this lowers the costs of our capital projects to our taxpayers.The performance measure dashboard is available at 5.04 Bond Rating.Additional InformationSource: Standard & Poors, Moody's Investor Service, and Fitch Ratings are the major bond rating agencies in the United States and are widely used by governmental and non-governmental entities throughout the country.Contact: Jerry HartContact E-Mail: Jerry_Hart@tempe.govData Source Type: ExcelPreparation Method: ManualPublish Frequency: AnnuallyPublish Method: ManualData Dictionary

  18. T

    Mexico Interest Rate

    • tradingeconomics.com
    • fr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 26, 2025
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    TRADING ECONOMICS (2025). Mexico Interest Rate [Dataset]. https://tradingeconomics.com/mexico/interest-rate
    Explore at:
    excel, json, csv, xmlAvailable download formats
    Dataset updated
    Jun 26, 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
    Oct 14, 2005 - Jun 26, 2025
    Area covered
    Mexico
    Description

    The benchmark interest rate in Mexico was last recorded at 8 percent. This dataset provides - Mexico Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  19. d

    Annual Market Information Indices

    • datasalsa.com
    • dtechtive.com
    • +5more
    csv
    Updated Sep 20, 2022
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    Department of Housing, Local Government, and Heritage (2022). Annual Market Information Indices [Dataset]. https://datasalsa.com/dataset/?catalogue=data.gov.ie&name=annual-market-information-indices
    Explore at:
    csvAvailable download formats
    Dataset updated
    Sep 20, 2022
    Dataset authored and provided by
    Department of Housing, Local Government, and Heritage
    License

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

    Time period covered
    Sep 20, 2022
    Description

    Annual Market Information Indices. Published by Department of Housing, Local Government, and Heritage. Available under the license Creative Commons Attribution Share-Alike 4.0 (CC-BY-SA-4.0).House price index is based on average new house price value at loan approval stage and therefore has not been adjusted for changes in the mix of houses and apartments sold. Interest rates is based on building societies mortgage loans, published by Central Statistics Office up to 2007.
    From 2008 interest rates is average rate of all 'mortgage lenders' reporting to the Central Bank.
    From 2014 it is based on the floating rate for new customers as published by the Central Bank (Retail interest rates - Table B2.1). The reason for the drop between 2013 and 2014 is due to the difference in methodology - the 2014 data is the weighted average rate on new loan agreements. Further information can be found here:
    http://www.centralbank.ie/polstats/stats/cmab/Documents/Retail_Interest_Rate_Statistics_Explanatory_Notes.pdf
    Earnings is based on the average weekly earnings of adult workers in manufacturing industries, published by the Central Statistics Office. This series has been updated since 1996 using a new methodology and therefore it is not directly comparable with those for earlier years. House Construction Cost Index is based on the 1st day of the third month of each quarter.
    Consumer Price index is based on the Consumer Price Index, published by the Central Statistics Office.
    The most current data is published on these sheets. Previously published data may be subject to revision. Any change from the originally published data will be highlighted by a comment on the cell in question. These comments will be maintained for at least a year after the date of the value change. ...

  20. J

    The government spending multiplier at the zero lower bound: International...

    • journaldata.zbw.eu
    • jda-test.zbw.eu
    txt, zip
    Updated Dec 7, 2022
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    Mathias Klein; Roland Winkler; Mathias Klein; Roland Winkler (2022). The government spending multiplier at the zero lower bound: International evidence from historical data (replication data) [Dataset]. http://doi.org/10.15456/jae.2022327.0719674550
    Explore at:
    txt(3740), zip(18356908)Available download formats
    Dataset updated
    Dec 7, 2022
    Dataset provided by
    ZBW - Leibniz Informationszentrum Wirtschaft
    Authors
    Mathias Klein; Roland Winkler; Mathias Klein; Roland Winkler
    License

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

    Description

    Based on a large historical panel dataset, this paper provides evidence that the government spending multiplier can be significantly higher when interest rates are at or near the zero lower bound (ZLB). We estimate multipliers that are as high as 1.5 during ZLB episodes but small and statistically indistinguishable from zero during normal times. Our results are robust to different definitions of ZLB episodes, alternative ways of identifying government spending shocks, controlling for the exchange rate regime, and other potentially important state variables. In particular, we show that the difference in multipliers is not driven by multipliers being higher during periods of economic slack.

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TRADING ECONOMICS (2025). United States Fed Funds Interest Rate [Dataset]. https://tradingeconomics.com/united-states/interest-rate

United States Fed Funds Interest Rate

United States Fed Funds Interest Rate - Historical Dataset (1971-08-04/2025-06-18)

Explore at:
127 scholarly articles cite this dataset (View in Google Scholar)
xml, excel, json, csvAvailable download formats
Dataset updated
Jul 2, 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
Aug 4, 1971 - Jun 18, 2025
Area covered
United States
Description

The benchmark interest rate in the United States was last recorded at 4.50 percent. This dataset provides the latest reported value for - United States Fed Funds Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

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