70 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
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    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. Vietnam Natural Increase Rate: Urban

    • ceicdata.com
    Updated Jul 30, 2018
    + more versions
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    CEICdata.com (2018). Vietnam Natural Increase Rate: Urban [Dataset]. https://www.ceicdata.com/en/vietnam/vital-statistics/natural-increase-rate-urban
    Explore at:
    Dataset updated
    Jul 30, 2018
    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, 2005 - Dec 1, 2016
    Area covered
    Vietnam
    Description

    Vietnam Natural Increase Rate: Urban data was reported at 8.000 ‰ in 2017. This records a decrease from the previous number of 9.300 ‰ for 2016. Vietnam Natural Increase Rate: Urban data is updated yearly, averaging 10.700 ‰ from Dec 2001 (Median) to 2017, with 17 observations. The data reached an all-time high of 12.400 ‰ in 2002 and a record low of 8.000 ‰ in 2017. Vietnam Natural Increase Rate: Urban data remains active status in CEIC and is reported by General Statistics Office. The data is categorized under Global Database’s Vietnam – Table VN.G058: Vital Statistics.

  3. Average salary increase rates APAC 2011-2019

    • statista.com
    Updated Sep 18, 2024
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    Statista (2024). Average salary increase rates APAC 2011-2019 [Dataset]. https://www.statista.com/statistics/990211/apac-average-salary-increase-rates/
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    Dataset updated
    Sep 18, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Asia–Pacific
    Description

    The statistic shows the average salary increase rate in the Asia Pacific region from 2011 to 2018, with a projected increase for 2019. In 2018, the average salary increase rate was about 5.7 percent, a rise of 0.1 index points compared to 2017. For 2019, the salary increase was projected to amount about 5.9 percent.

  4. f

    Correlation between inflation and policy rates.

    • plos.figshare.com
    xls
    Updated Dec 11, 2023
    + more versions
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    Tanweer Ul Islam; Dajeeha Ahmed (2023). Correlation between inflation and policy rates. [Dataset]. http://doi.org/10.1371/journal.pone.0295453.t003
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    xlsAvailable download formats
    Dataset updated
    Dec 11, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Tanweer Ul Islam; Dajeeha Ahmed
    License

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

    Description

    The enduring discourse regarding the effectiveness of interest rate policy in mitigating inflation within developing economies is characterized by the interplay of structural and supply-side determinants. Moreover, extant academic literature fails to resolve the direction of causality between inflation and interest rates. Nevertheless, the prevalent adoption of interest rate-based monetary policies in numerous developing economies raises a fundamental inquiry: What motivates central banks in these nations to consistently espouse this strategy? To address this inquiry, our study leverages wavelet transformation to dissect interest rate and inflation data across a spectrum of frequency scales. This innovative methodology paves the way for a meticulous exploration of the intricate causal interplay between these pivotal macroeconomic variables for twenty-two developing economies using monthly data from 1992 to 2022. Traditional literature on causality tends to focus on short- and long-run timescales, yet our study posits that numerous uncharted time and frequency scales exist between these extremes. These intermediate scales may wield substantial influence over the causal relationship and its direction. Our research thus extends the boundaries of existing causality literature and presents fresh insights into the complexities of monetary policy in developing economies. Traditional wisdom suggests that central banks should raise interest rates to combat inflation. However, our study uncovers a contrasting reality in developing economies. It demonstrates a positive causal link between the policy rate and inflation, where an increase in the central bank’s interest rates leads to an upsurge in price levels. Paradoxically, in response to escalating prices, the central bank continues to heighten the policy rate, thereby perpetuating this cyclical pattern. Given this observed positive causal relationship in developing economies, central banks must explore structural and supply-side factors to break this cycle and regain control over inflation.

  5. Kuwait Vital Statistics: Natural Increase Rate: Kuwaiti

    • ceicdata.com
    Updated Dec 15, 2024
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    CEICdata.com (2024). Kuwait Vital Statistics: Natural Increase Rate: Kuwaiti [Dataset]. https://www.ceicdata.com/en/kuwait/vital-statistics/vital-statistics-natural-increase-rate-kuwaiti
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    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, 2008 - Dec 1, 2017
    Area covered
    Kuwait
    Variables measured
    Vital Statistics
    Description

    Vital Statistics: Natural Increase Rate: Kuwaiti data was reported at 23.460 ‰ in 2017. This records a decrease from the previous number of 24.070 ‰ for 2016. Vital Statistics: Natural Increase Rate: Kuwaiti data is updated yearly, averaging 26.900 ‰ from Dec 2008 (Median) to 2017, with 10 observations. The data reached an all-time high of 29.400 ‰ in 2008 and a record low of 23.460 ‰ in 2017. Vital Statistics: Natural Increase Rate: Kuwaiti data remains active status in CEIC and is reported by Central Statistical Bureau. The data is categorized under Global Database’s Kuwait – Table KW.G004: Vital Statistics.

  6. Interest rate of the central bank South Korea 2012-2025

    • statista.com
    Updated May 13, 2025
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    Statista (2025). Interest rate of the central bank South Korea 2012-2025 [Dataset]. https://www.statista.com/statistics/1235224/south-korea-central-bank-base-rate/
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    Dataset updated
    May 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 2012 - Feb 2025
    Area covered
    South Korea
    Description

    In Februar 2025, South Korea's central bank reduced the base rate to **** percent. Between May 2020 and January 2023, the rate had seen a continuous increase, impacting especially the housing market during this time.

  7. O

    Oman Vital Statistics: Natural Increase Rate: per 1000 Inhabitans

    • ceicdata.com
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    CEICdata.com, Oman Vital Statistics: Natural Increase Rate: per 1000 Inhabitans [Dataset]. https://www.ceicdata.com/en/oman/vital-statistics/vital-statistics-natural-increase-rate-per-1000-inhabitans
    Explore at:
    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, 2010 - Dec 1, 2017
    Area covered
    Oman
    Variables measured
    Vital Statistics
    Description

    Oman Vital Statistics: Natural Increase Rate: per 1000 Inhabitans data was reported at 17.900 Per 1000 Person in 2017. This records a decrease from the previous number of 18.200 Per 1000 Person for 2016. Oman Vital Statistics: Natural Increase Rate: per 1000 Inhabitans data is updated yearly, averaging 18.700 Per 1000 Person from Dec 2010 (Median) to 2017, with 8 observations. The data reached an all-time high of 20.700 Per 1000 Person in 2010 and a record low of 17.900 Per 1000 Person in 2017. Oman Vital Statistics: Natural Increase Rate: per 1000 Inhabitans data remains active status in CEIC and is reported by National Center for Statistics and Information. The data is categorized under Global Database’s Oman – Table OM.G006: Vital Statistics.

  8. Slovakia Vital Statistics: Crude Rate of Total Increase

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Slovakia Vital Statistics: Crude Rate of Total Increase [Dataset]. https://www.ceicdata.com/en/slovakia/vital-statistics/vital-statistics-crude-rate-of-total-increase
    Explore at:
    Dataset updated
    Jan 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
    May 1, 2017 - Apr 1, 2018
    Area covered
    Slovakia
    Variables measured
    Vital Statistics
    Description

    Slovakia Vital Statistics: Crude Rate of Total Increase data was reported at 2.706 ‰ in Aug 2018. This records a decrease from the previous number of 2.863 ‰ for Jul 2018. Slovakia Vital Statistics: Crude Rate of Total Increase data is updated monthly, averaging 1.130 ‰ from Jan 2000 (Median) to Aug 2018, with 224 observations. The data reached an all-time high of 4.800 ‰ in Sep 2011 and a record low of -2.930 ‰ in Dec 2013. Slovakia Vital Statistics: Crude Rate of Total Increase data remains active status in CEIC and is reported by Statistical Office of the Slovak Republic. The data is categorized under Global Database’s Slovakia – Table SK.G004: Vital Statistics.

  9. F

    Net Percentage of Large Domestic Banks Increasing Spreads of Loan Rates Over...

    • fred.stlouisfed.org
    json
    Updated May 12, 2025
    + more versions
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    (2025). Net Percentage of Large Domestic Banks Increasing Spreads of Loan Rates Over Banks' Cost of Funds to Large and Middle-Market Firms [Dataset]. https://fred.stlouisfed.org/series/SUBLPDCILTSLGNQ
    Explore at:
    jsonAvailable download formats
    Dataset updated
    May 12, 2025
    License

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

    Description

    Graph and download economic data for Net Percentage of Large Domestic Banks Increasing Spreads of Loan Rates Over Banks' Cost of Funds to Large and Middle-Market Firms (SUBLPDCILTSLGNQ) from Q2 1990 to Q2 2025 about funds, cost, large, spread, domestic, Net, percent, loans, banks, depository institutions, rate, and USA.

  10. Reaction of institutional investors to interest rate increases 2016

    • statista.com
    Updated Jan 26, 2016
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    Statista (2016). Reaction of institutional investors to interest rate increases 2016 [Dataset]. https://www.statista.com/statistics/542425/reaction-of-institutional-investors-to-interest-rate-increases/
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    Dataset updated
    Jan 26, 2016
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 2015
    Area covered
    Worldwide
    Description

    This statistic presents the reaction of institutional investors to interest rate increases in 2016. The results of the survey carried out in October 2015 revealed that 47 percent of the companies increased the use of alternatives as a result of interest rates increase.

  11. Japan Shunto: AWM: Wage Increase incl Regular Raise Rate (WIRR)

    • ceicdata.com
    + more versions
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    CEICdata.com, Japan Shunto: AWM: Wage Increase incl Regular Raise Rate (WIRR) [Dataset]. https://www.ceicdata.com/en/japan/shunto-spring-wage-negotiation/shunto-awm-wage-increase-incl-regular-raise-rate-wirr
    Explore at:
    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, 2014 - Mar 1, 2025
    Area covered
    Japan
    Description

    Japan Shunto: AWM: Wage Increase incl Regular Raise Rate (WIRR) data was reported at 5.370 % in 2025. This records an increase from the previous number of 5.100 % for 2024. Japan Shunto: AWM: Wage Increase incl Regular Raise Rate (WIRR) data is updated yearly, averaging 2.070 % from Mar 1989 (Median) to 2025, with 37 observations. The data reached an all-time high of 5.950 % in 1990 and a record low of 1.630 % in 2003. Japan Shunto: AWM: Wage Increase incl Regular Raise Rate (WIRR) data remains active status in CEIC and is reported by Japanese Trade Union Confederation. The data is categorized under Global Database’s Japan – Table JP.G166: Shunto: Spring Wage Negotiation.

  12. d

    Data from: Increasing rates of carbon burial in southwest Florida coastal...

    • catalog.data.gov
    • data.usgs.gov
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Increasing rates of carbon burial in southwest Florida coastal wetlands [Dataset]. https://catalog.data.gov/dataset/increasing-rates-of-carbon-burial-in-southwest-florida-coastal-wetlands
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Florida
    Description

    This data set represents vertical accretion data from feldspar marker horizons in Rookery Bay National Estuarine Research Reserve and Ten Thousand Islands National Wildlife Refuge collected between 1989 and 2017 associated with the publication "Increasing rates of carbon burial in southwest Florida coastal wetlands."

  13. S

    Climate change and ectotherms - How rising temperatures might elevate rates...

    • dataportal.senckenberg.de
    pdf
    Updated Nov 18, 2024
    + more versions
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    Gries (2024). Climate change and ectotherms - How rising temperatures might elevate rates of evolution [Dataset]. http://doi.org/10.5281/zenodo.7817384
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    pdf(279080)Available download formats
    Dataset updated
    Nov 18, 2024
    Dataset provided by
    SBiK-F - Geobiodiversity Research
    Authors
    Gries
    Description

    This data set includes R scripts & additional tables created by Lennart Gries for a master's thesis conducted at Johann Wolfgang Goethe-Universität Frankfurt am Main and Senckenberg Biodiversity- and Climate Research Centre (SBiK-F), being supervised by Prof. Susanne Fritz and Prof. Markus Pfenninger.

    Temperature-dependent generation time data for ectotherm animals was collected from literature and incorporated into population models to predict a number of generations per year under different climatic scenarios. An increase in generations per year implies an increase of evolutionary rate for ectotherms with rising temperatures under stronger climate change scenario.

  14. L

    Rate of Natural Increase of Population (per 1000 Population) in Lithuania,...

    • lida.dataverse.lt
    application/x-gzip +1
    Updated Mar 6, 2025
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    Zenonas Norkus; Zenonas Norkus; Aelita Ambrulevičiūtė; Aelita Ambrulevičiūtė; Jurgita Markevičiūtė; Jurgita Markevičiūtė; Vaidas Morkevičius; Vaidas Morkevičius; Giedrius Žvaliauskas; Giedrius Žvaliauskas (2025). Rate of Natural Increase of Population (per 1000 Population) in Lithuania, 1919-1939 [Dataset]. https://lida.dataverse.lt/dataset.xhtml?persistentId=hdl:21.12137/GN0KNP
    Explore at:
    tsv(36038), application/x-gzip(102774)Available download formats
    Dataset updated
    Mar 6, 2025
    Dataset provided by
    Lithuanian Data Archive for SSH (LiDA)
    Authors
    Zenonas Norkus; Zenonas Norkus; Aelita Ambrulevičiūtė; Aelita Ambrulevičiūtė; Jurgita Markevičiūtė; Jurgita Markevičiūtė; Vaidas Morkevičius; Vaidas Morkevičius; Giedrius Žvaliauskas; Giedrius Žvaliauskas
    License

    https://lida.dataverse.lt/api/datasets/:persistentId/versions/5.3/customlicense?persistentId=hdl:21.12137/GN0KNPhttps://lida.dataverse.lt/api/datasets/:persistentId/versions/5.3/customlicense?persistentId=hdl:21.12137/GN0KNP

    Time period covered
    1919 - 1939
    Area covered
    Lithuania
    Dataset funded by
    European Social Fund, according to the activity “Improvement of researchers’ qualification by implementing world-class R&D projects“ of Measure No. 09.3.3-LMT-K-712
    Description

    This dataset contains data on natural increase rate of population (per 1000 population) in Lithuania in 1919-1939. Data in the cells (year by administrative region) were computed by multiplying the number of natural increase of population by 1000 and dividing by number of the mid-year population. For sources of the data see metadata field Origin of Sources below. Dataset "Rate of Natural Increase of Population (per 1000 Population) in Lithuania 1919-1939" was published implementing project "Historical Sociology of Modern Restorations: a Cross-Time Comparative Study of Post-Communist Transformation in the Baltic States" from 2018 to 2022. Project leader is prof. Zenonas Norkus. Project is funded by the European Social Fund according to the activity "Improvement of researchers' qualification by implementing world-class R&D projects' of Measure No. 09.3.3-LMT-K-712".

  15. Macau SAR, China Rate of Natural Increase

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Macau SAR, China Rate of Natural Increase [Dataset]. https://www.ceicdata.com/en/macau/vital-statistics/rate-of-natural-increase
    Explore at:
    Dataset updated
    Jan 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
    Dec 1, 2007 - Dec 1, 2018
    Area covered
    Macao
    Variables measured
    Vital Statistics
    Description

    Macau SAR Rate of Natural Increase data was reported at 5.900 % in 2018. This records a decrease from the previous number of 6.800 % for 2017. Macau SAR Rate of Natural Increase data is updated yearly, averaging 7.700 % from Dec 1985 (Median) to 2018, with 34 observations. The data reached an all-time high of 21.000 % in 1985 and a record low of 3.900 % in 2004. Macau SAR Rate of Natural Increase data remains active status in CEIC and is reported by Statistics and Census Service. The data is categorized under Global Database’s Macau SAR – Table MO.G004: Vital Statistics.

  16. N

    Norway Business Survey: Epinion: Interest Rate Expectation: Household: Next...

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Norway Business Survey: Epinion: Interest Rate Expectation: Household: Next 12 Months: Increase [Dataset]. https://www.ceicdata.com/en/norway/business-survey-epinion-interest-rate-and-exchange-rate-expectation/business-survey-epinion-interest-rate-expectation-household-next-12-months-increase
    Explore at:
    Dataset updated
    Feb 15, 2025
    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
    Sep 1, 2015 - Jun 1, 2018
    Area covered
    Norway
    Variables measured
    Business Confidence Survey
    Description

    Norway Business Survey: Epinion: Interest Rate Expectation: Household: Next 12 Months: Increase data was reported at 62.900 % in Sep 2018. This records an increase from the previous number of 56.600 % for Jun 2018. Norway Business Survey: Epinion: Interest Rate Expectation: Household: Next 12 Months: Increase data is updated quarterly, averaging 48.500 % from Mar 2002 (Median) to Sep 2018, with 67 observations. The data reached an all-time high of 86.900 % in Dec 2006 and a record low of 15.200 % in Mar 2016. Norway Business Survey: Epinion: Interest Rate Expectation: Household: Next 12 Months: Increase data remains active status in CEIC and is reported by Epinion. The data is categorized under Global Database’s Norway – Table NO.S009: Business Survey: Epinion: Interest Rate and Exchange Rate Expectation.

  17. CNA13 - Annual Rate of Population Increase by County, CensusYear, Statistic...

    • data.wu.ac.at
    • cloud.csiss.gmu.edu
    json-stat, px
    Updated Mar 5, 2018
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    Central Statistics Office (2018). CNA13 - Annual Rate of Population Increase by County, CensusYear, Statistic and Sex [Dataset]. https://data.wu.ac.at/schema/data_gov_ie/NzM2YzUzOGYtOGQ1Zi00ZjJkLTg1ZjctMmMzNWNlNWIxYmFm
    Explore at:
    px, json-statAvailable download formats
    Dataset updated
    Mar 5, 2018
    Dataset provided by
    Central Statistics Office Irelandhttps://www.cso.ie/en/
    License

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

    Description

    Annual Rate of Population Increase by County, CensusYear, Statistic and Sex

    View data using web pages

    Download .px file (Software required)

  18. RATE Lo-RISE Terrestrial Dataset 1 (NERC grant NE/L000547/1)

    • metadata.bgs.ac.uk
    • hosted-metadata.bgs.ac.uk
    • +2more
    html
    Updated Aug 16, 2018
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    British Geological Survey (2018). RATE Lo-RISE Terrestrial Dataset 1 (NERC grant NE/L000547/1) [Dataset]. https://metadata.bgs.ac.uk/geonetwork/srv/api/records/74173743-1d69-2ebd-e054-002128a47908
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Aug 16, 2018
    Dataset authored and provided by
    British Geological Surveyhttps://www.bgs.ac.uk/
    License

    http://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/noLimitationshttp://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/noLimitations

    Time period covered
    Oct 1, 2013 - Jul 31, 2018
    Area covered
    Description

    Data collected as part of the NERC funded Radioactivity and the Environment (RATE), Long-lived Radionuclides in the Surface Environment (Lo-RISE), research consortium.This data comes from the terrestrial workstream group based at the University of Manchester. The data consists of radionuclide measurements of environmental and biological samples including uranium (238), thorium (232) and radium (226), and soil subsurface and surface biota bioprospecting (plants and AM fungi). The data from this first dataset has been published in the following publication: Davies et al. (2018) Multiple environmental factors influence 238U, 232Th and 226Ra bioaccumulation in arbuscular mycorrhizal-associated plants. Science of the Total Environment 640-641:921-934.

  19. p

    Trends in Graduation Rate (2019-2022): Da Vinci Rise High School vs....

    • publicschoolreview.com
    Updated Nov 20, 2022
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    Public School Review (2022). Trends in Graduation Rate (2019-2022): Da Vinci Rise High School vs. California vs. Da Vinci RISE High School District [Dataset]. https://www.publicschoolreview.com/da-vinci-rise-high-school-profile
    Explore at:
    Dataset updated
    Nov 20, 2022
    Dataset authored and provided by
    Public School Review
    License

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

    Description

    This dataset tracks annual graduation rate from 2019 to 2022 for Da Vinci Rise High School vs. California and Da Vinci RISE High School District

  20. E

    Egypt Bank deposit interest rate, percent, March, 2025 - data, chart |...

    • theglobaleconomy.com
    csv, excel, xml
    Updated Mar 15, 2025
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    Globalen LLC (2025). Egypt Bank deposit interest rate, percent, March, 2025 - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/Egypt/deposit_interest_rate/
    Explore at:
    excel, xml, csvAvailable download formats
    Dataset updated
    Mar 15, 2025
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Jun 30, 2010 - Mar 31, 2025
    Area covered
    Egypt
    Description

    Bank deposit interest rate, percent in Egypt, March, 2025 The most recent value is 17.7 percent as of March 2025, an increase compared to the previous value of 17.4 percent. Historically, the average for Egypt from June 2010 to March 2025 is 10.07 percent. The minimum of 7.2 percent was recorded in July 2010, while the maximum of 17.9 percent was reached in December 2024. | TheGlobalEconomy.com

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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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