100+ datasets found
  1. T

    United States Fed Funds Interest Rate

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 28, 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
    May 28, 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 - May 7, 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. Retail investors' portfolio changes in anticipation of a recession the U.S....

    • statista.com
    Updated May 22, 2025
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    Statista (2025). Retail investors' portfolio changes in anticipation of a recession the U.S. 2023 [Dataset]. https://www.statista.com/statistics/1419162/retail-investors-portfolio-changes-in-anticipation-of-a-recession-the-us/
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    Dataset updated
    May 22, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 2023 - Aug 2023
    Area covered
    United States
    Description

    Short-term and floating-rate bonds are typically a popular investment choice during times of increasing rates. Roughly 52 percent of investors noted investing in assets that benefit from higher interest rates when anticipating an economic recession. While over 55 percent of investors choose to invest in fewer singular companies and increase asset allocation to conviction stocks.

  3. Mortgage rates by quarter in Europe 2012-2024, by country

    • statista.com
    Updated Jan 28, 2025
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    Statista (2025). Mortgage rates by quarter in Europe 2012-2024, by country [Dataset]. https://www.statista.com/statistics/1172629/mortgage-rates-per-country-in-europe-per-quarter/
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    Dataset updated
    Jan 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Europe
    Description

    The average mortgage interest rate decreased in nearly every country in Europe between 2012 and 2021, followed by an increase in response to inflation. In Hungary, Poland, Czechia, and Romania, mortgage rates peaked in late 2022 and the beginning of 2023, followed by a gradual decline until the first quarter of 2024. The rest of the countries under observation, including the biggest mortgage markets - the UK and Germany, saw a continued increase in interest rates until the fourth quarter of 2023. In the first quarter of 2024, mortgage interest rates declined quarter-on-quarter across almost all markets in focus, marking a long awaited easing of monetary policy.

  4. o

    Code for: The Fiscal Costs of Climate Change

    • openicpsr.org
    Updated Aug 24, 2020
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    Lint Barrage (2020). Code for: The Fiscal Costs of Climate Change [Dataset]. http://doi.org/10.3886/E120750V1
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    Dataset updated
    Aug 24, 2020
    Dataset provided by
    American Economic Association
    Authors
    Lint Barrage
    License

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

    Area covered
    Global
    Description

    This paper explores the fiscal consequences of climate change. The analysis considers climate change impacts on (i) the cost of existing government services (e.g., disaster assistance) and (ii) the need for publicly provided anticipatory adaptation (e.g., sea walls). These channels are integrated into the COMET, a dynamic general equilibrium climate-economy model with distortionary taxation and government expenditures. The main result is that accounting for fiscal impacts may increase the welfare benefits of efficient climate policy by up to 30%. Business-as-usual climate change may necessitate increases in income tax rates and elevate the marginal cost of raising public funds.

  5. Average Interest Rates on U.S. Treasury Securities

    • catalog.data.gov
    Updated Dec 1, 2023
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    Bureau of the Fiscal Service (2023). Average Interest Rates on U.S. Treasury Securities [Dataset]. https://catalog.data.gov/dataset/average-interest-rates-on-u-s-treasury-securities
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    Dataset updated
    Dec 1, 2023
    Dataset provided by
    Bureau of the Fiscal Servicehttps://www.fiscal.treasury.gov/
    Description

    The Average Interest Rates on U.S. Treasury Securities dataset provides average interest rates on U.S. Treasury securities on a monthly basis. Its primary purpose is to show the average interest rate on a variety of marketable and non-marketable Treasury securities. Marketable securities consist of Treasury Bills, Notes, Bonds, Treasury Inflation-Protected Securities (TIPS), Floating Rate Notes (FRNs), and Federal Financing Bank (FFB) securities. Non-marketable securities consist of Domestic Series, Foreign Series, State and Local Government Series (SLGS), U.S. Savings Securities, and Government Account Series (GAS) securities. Marketable securities are negotiable and transferable and may be sold on the secondary market. Non-marketable securities are not negotiable or transferrable and are not sold on the secondary market. This is a useful dataset for investors and bond holders to compare how interest rates on Treasury securities have changed over time.

  6. U

    United States Property & Casualty Insurance: Premium Pricing: Rate Changes...

    • ceicdata.com
    Updated Mar 22, 2021
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    CEICdata.com (2021). United States Property & Casualty Insurance: Premium Pricing: Rate Changes by Account Size: Large [Dataset]. https://www.ceicdata.com/en/united-states/property--casualty-insurance-premium-pricing-quarter-on-quarter-rate-changes
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    Dataset updated
    Mar 22, 2021
    Dataset provided by
    CEICdata.com
    Time period covered
    Mar 1, 2022 - Dec 1, 2024
    Area covered
    United States
    Variables measured
    Insurance Market
    Description

    Property & Casualty Insurance: Premium Pricing: Rate Changes by Account Size: Large data was reported at 6.300 % in Dec 2024. This records an increase from the previous number of 5.300 % for Sep 2024. Property & Casualty Insurance: Premium Pricing: Rate Changes by Account Size: Large data is updated quarterly, averaging 4.000 % from Dec 2011 (Median) to Dec 2024, with 53 observations. The data reached an all-time high of 15.300 % in Sep 2020 and a record low of -5.300 % in Jun 2016. Property & Casualty Insurance: Premium Pricing: Rate Changes by Account Size: Large data remains active status in CEIC and is reported by The Council of Insurance Agents & Brokers. The data is categorized under Global Database’s United States – Table US.RG015: Property & Casualty Insurance: Premium Pricing: Quarter on Quarter Rate Changes.

  7. Changes in penetration rates for digital postal services in Asia-Pacific...

    • statista.com
    Updated Feb 3, 2023
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    Statista (2023). Changes in penetration rates for digital postal services in Asia-Pacific 2010-2017 [Dataset]. https://www.statista.com/statistics/1227168/changes-penetration-rates-digital-postal-services-asia-pacific/
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    Dataset updated
    Feb 3, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Asia–Pacific
    Description

    In 2017, online lookup services experienced the highest change in penetration rate amounting to 100 percent in the Asia-Pacific region. In the same period, online bill payment services reported a change in penetration rate of 40 percent.

  8. Methodological changes to First Time Entrants statistics

    • gov.uk
    Updated Jan 30, 2014
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    Ministry of Justice (2014). Methodological changes to First Time Entrants statistics [Dataset]. https://www.gov.uk/government/statistics/methodological-changes-to-first-time-entrants-statistics
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    Dataset updated
    Jan 30, 2014
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Ministry of Justice
    Description

    The tables in this statistical notice present the impact of the methodological change to the first time entrants statistics.

    Table 1 presents updated statistics on first time entrants to the criminal justice system by age group, 12 months ending March 2003 to 12 months ending March 2013.

    Table 2 presents updated statistics on first time entrants to the criminal justice system as a rate per 100,000 of the population, by age group, 12 months ending March 2003 to 12 months ending March 2013.

    Table 3 presents updated statistics on first time entrants to the criminal justice system, by age group, 12 months ending June 2003 to 12 months ending June 2013.

    Table 4 presents updated statistics on first time entrants to the criminal justice system as a rate per 100,000 of the population, by age group, 12 months ending June 2003 to 12 months ending June 2013.

  9. U.S. creators changing their collaboration rates 2022

    • statista.com
    Updated Dec 10, 2024
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    Statista (2024). U.S. creators changing their collaboration rates 2022 [Dataset]. https://www.statista.com/statistics/1420182/us-collaboration-rate-changes-us-creators/
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    Dataset updated
    Dec 10, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    United States
    Description

    According to a survey of professional content creators based in the United States, six in 10 respondents reported that their rates for collaborating with brands on social media increased in 2022. In comparison, almost four in 10 respondents reported that their rates stayed the same. Only four percent of respondents reported having decreased their collaboration rates.

  10. Vietnam Natural Increase Rate: Urban

    • ceicdata.com
    Updated May 29, 2017
    + more versions
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    CEICdata.com (2017). Vietnam Natural Increase Rate: Urban [Dataset]. https://www.ceicdata.com/en/vietnam/vital-statistics/natural-increase-rate-urban
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    Dataset updated
    May 29, 2017
    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.

  11. g

    Archival Version

    • datasearch.gesis.org
    Updated Aug 5, 2015
    + more versions
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    Dueker, Michael J.; Rasche, Robert H. (2015). Archival Version [Dataset]. http://doi.org/10.3886/ICPSR01310
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    Dataset updated
    Aug 5, 2015
    Dataset provided by
    da|ra (Registration agency for social science and economic data)
    Authors
    Dueker, Michael J.; Rasche, Robert H.
    Description

    Empirical models of the federal funds rate almost uniformly use the quarterly or monthly average of the daily rates. One empirical question about the federal funds rate concerns the extent to which monetary policymakers smooth this interest rate. Under the hypothesis of rate smoothing, policymakers set the interest rate this period equal to a weighted average of the rate inherited from the previous quarter and the rate implied by current economic conditions, such as the Taylor rule rate. Perhaps surprisingly, however, little attention has been given to measuring the interest rate inherited from the previous quarter. Previous tests for interest rate smoothing have assumed that the quarterly or monthly average from the previous period is the inherited rate. The authors of this study, in contrast, suggest that the end-of-quarter level of the target federal funds rate is the inherited rate, and empirical tests support this proposition. The authors show that this alternative view of the rate inherited from the past affects empirical results concerning interest rate smoothing, even in relatively rich models that include regime switching.

  12. ED suicidal ideation and self-violence rate changes for males U.S....

    • statista.com
    Updated Jun 19, 2020
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    Statista (2020). ED suicidal ideation and self-violence rate changes for males U.S. 2017-2018, by age [Dataset]. https://www.statista.com/statistics/1096444/ed-suicidal-ideation-and-self-violence-rate-changes-for-males-us-by-age/
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    Dataset updated
    Jun 19, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2017 - Dec 2018
    Area covered
    United States
    Description

    Among males aged 10 to 19 years, there was a 62.3 percent increase in emergency department visits for suicidal ideation and self-directed violence in the U.S. from January 2017 to December 2018, with an average monthly increase of 2.2 percent. This statistic shows changes in rates of emergency department visits for males with suicidal ideation and self-directed violence in the U.S. from 2017 to 2018, by age.

  13. d

    Long-term shoreline change rates for the Northern California coastal region...

    • catalog.data.gov
    Updated Oct 18, 2024
    + more versions
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    U.S. Geological Survey (2024). Long-term shoreline change rates for the Northern California coastal region using the Digital Shoreline Analysis System version 5.0 [Dataset]. https://catalog.data.gov/dataset/long-term-shoreline-change-rates-for-the-northern-california-coastal-region-using-the-digi
    Explore at:
    Dataset updated
    Oct 18, 2024
    Dataset provided by
    U.S. Geological Survey
    Area covered
    California, Northern California
    Description

    Sandy ocean beaches are a popular recreational destination, often surrounded by communities containing valuable real estate. Development is on the rise despite the fact that coastal infrastructure is subjected to flooding and erosion. As a result, there is an increased demand for accurate information regarding past and present shoreline changes. To meet these national needs, the Coastal and Marine Geology Program of the U.S. Geological Survey (USGS) is compiling existing reliable historical shoreline data along open-ocean sandy shores of the conterminous United States and parts of Alaska and Hawaii as part of the Coastal Change Hazards programmatic focus, formerly the National Assessment of Shoreline Change project. There is no widely accepted standard for analyzing shoreline change. Existing shoreline data measurements and rate calculation methods vary from study to study and prevent combining results into state-wide or regional assessments. The impetus behind this national scale project was to develop a standardized method of measuring changes in shoreline position that is consistent from coast to coast. The goal was to facilitate the process of periodically and systematically updating the results in an internally consistent manner. In this release, three new tidal datum-based mean high water (MHW) shorelines extracted from 2009/2010/2011, 2015, and 2016 lidar elevation data are included in the analysis (coverage not necessarily continuous statewide). The full range of shoreline data is 1852 to 2016. The proxy-datum bias correction has been applied on a transect-by-transect basis to reconcile offsets between the MHW shorelines and proxy-based HWL shorelines for the entire California coastal region which is divided into three subregions: Northern California (NorCal), Central California (CenCal), and Southern California (SoCal). In the previous report (Hapke et al., 2006), the proxy-datum bias correction was only applied to regional shoreline averages. This shoreline change update for California reports proxy-datum bias corrected rates when that information was computed while extracting shoreline positions from lidar data. In areas where the methods for delineating shorelines did not include computing bias correction values, the rates are reported without that correction. The proxy-datum bias concept is explained further in Ruggiero and List (2009) and in the process steps of the metadata file associated with the transect rates.

  14. c

    BOE Changes 2024 co42

    • gis.data.ca.gov
    Updated Jun 1, 2024
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    California Department of Tax and Fee Administration (2024). BOE Changes 2024 co42 [Dataset]. https://gis.data.ca.gov/datasets/CDTFA::boe-changes-2024-co42
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    Dataset updated
    Jun 1, 2024
    Dataset authored and provided by
    California Department of Tax and Fee Administration
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    This shapefile contains polygons representing areas that had a change to the tax rate area number or boundary according to Statement of Boundary Changes filed with the California State Board of Equalization, per Government Code 54900. The change number refers to the Statement of Boundary Change documents on file with the California State Board of Equalization-Tax Area Services Section. CHG_NO = Board of Equalization (BOE) file number

  15. F

    50) Over the Past Three Months, How Has the Volume of Mark and Collateral...

    • fred.stlouisfed.org
    json
    Updated Mar 27, 2025
    + more versions
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    (2025). 50) Over the Past Three Months, How Has the Volume of Mark and Collateral Disputes Relating to Contracts of Each of the Following Types Changed?| B. Interest Rate. | Answer Type: Increased Considerably [Dataset]. https://fred.stlouisfed.org/series/OTCDQ50BICNR
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 27, 2025
    License

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

    Description

    Graph and download economic data for 50) Over the Past Three Months, How Has the Volume of Mark and Collateral Disputes Relating to Contracts of Each of the Following Types Changed?| B. Interest Rate. | Answer Type: Increased Considerably (OTCDQ50BICNR) from Q4 2011 to Q1 2025 about contracts, volume, collateral, change, 3-month, interest rate, interest, rate, and USA.

  16. d

    Breton Island, Louisiana Transects with Shoreline Change Rates (Post...

    • catalog.data.gov
    • data.usgs.gov
    • +2more
    Updated Jul 6, 2024
    + more versions
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    U.S. Geological Survey (2024). Breton Island, Louisiana Transects with Shoreline Change Rates (Post Hurricane Katrina) (Geographic, NAD83) [Dataset]. https://catalog.data.gov/dataset/breton-island-louisiana-transects-with-shoreline-change-rates-post-hurricane-katrina-geogr
    Explore at:
    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Louisiana, Breton Islands
    Description

    Breton Island, Louisiana Transects with Shoreline Change Rates (Post Hurricane Katrina) (Geographic, NAD83) consists of vector transect data that was derived from the Digital Shoreline Analysis System (DSAS) version 4.0. Rates from the DSAS statistical output table were joined to the transects to provide a visual representation of the shoreline change rates on a transect-by-transect basis.

  17. T

    United States Personal Savings Rate

    • tradingeconomics.com
    • tr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Apr 15, 2025
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    TRADING ECONOMICS (2025). United States Personal Savings Rate [Dataset]. https://tradingeconomics.com/united-states/personal-savings
    Explore at:
    xml, excel, json, csvAvailable download formats
    Dataset updated
    Apr 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
    Jan 31, 1959 - Apr 30, 2025
    Area covered
    United States
    Description

    Household Saving Rate in the United States increased to 4.90 percent in April from 4.30 percent in March of 2025. This dataset provides - United States Personal Savings Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  18. BOE Changes 2024 co21

    • cdtfa.hub.arcgis.com
    • gis.data.ca.gov
    • +1more
    Updated May 31, 2024
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    California Department of Tax and Fee Administration (2024). BOE Changes 2024 co21 [Dataset]. https://cdtfa.hub.arcgis.com/datasets/CDTFA::marin-2024-roll-year?layer=0
    Explore at:
    Dataset updated
    May 31, 2024
    Dataset authored and provided by
    California Department of Tax and Fee Administrationhttp://cdtfa.ca.gov/
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    This shapefile contains polygons representing areas that had a change to the tax rate area number or boundary according to Statement of Boundary Changes filed with the California State Board of Equalization, per Government Code 54900. The change number refers to the Statement of Boundary Change documents on file with the California State Board of Equalization-Tax Area Services Section. CHG_NO = Board of Equalization (BOE) file number

  19. Loans broken down by interest rate type by quarter - Dataset - data.gov.ie

    • data.gov.ie
    Updated Nov 18, 2016
    + more versions
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    data.gov.ie (2016). Loans broken down by interest rate type by quarter - Dataset - data.gov.ie [Dataset]. https://data.gov.ie/dataset/loans-broken-down-by-interest-rate-type-by-quarter
    Explore at:
    Dataset updated
    Nov 18, 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

    Source: From lending institutions and local authorities The loan payments dataset stops in 2007. The figures on fixed interest rate mortgages relate to mortgages which provide that the rate of interest may not be changed, or may only be changed at intervals of not less than one year. 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. F

    Exchange Rate Adjusted Changes of Domestic Debt Securities for General...

    • fred.stlouisfed.org
    json
    Updated Jun 12, 2023
    + more versions
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    (2023). Exchange Rate Adjusted Changes of Domestic Debt Securities for General Government Issuers, All Maturities, Residence of Issuer in Colombia [Dataset]. https://fred.stlouisfed.org/series/DSAMRIAOGGERCO
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 12, 2023
    License

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

    Description

    Graph and download economic data for Exchange Rate Adjusted Changes of Domestic Debt Securities for General Government Issuers, All Maturities, Residence of Issuer in Colombia (DSAMRIAOGGERCO) from Q1 2008 to Q4 2022 about Colombia, adjusted, maturity, debt, exchange rate, residents, securities, domestic, government, and rate.

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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 (1971-08-04/2025-05-07)

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120 scholarly articles cite this dataset (View in Google Scholar)
xml, excel, json, csvAvailable download formats
Dataset updated
May 28, 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 - May 7, 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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