83 datasets found
  1. d

    Economic Indicators: Year- and Month-wise Forward Premia and Reference Rates...

    • dataful.in
    Updated Jun 13, 2025
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    Dataful (Factly) (2025). Economic Indicators: Year- and Month-wise Forward Premia and Reference Rates of Euros and Dollars [Dataset]. https://dataful.in/datasets/18612
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    csv, application/x-parquet, xlsxAvailable download formats
    Dataset updated
    Jun 13, 2025
    Dataset authored and provided by
    Dataful (Factly)
    License

    https://dataful.in/terms-and-conditionshttps://dataful.in/terms-and-conditions

    Area covered
    India
    Variables measured
    Spot rate value in per USD, Spot Rate value in per Euro, Forward Premia of 1 month, Forward Premia of 3 month, Forward Premia of 6 month
    Description

    The dataset contains year- and month-wise compiled economic indicators data from the year 2010 to till date on the reference rates of indian rupees per each euro and dollar and economic premia

    Notes:

    1. Reference rate is an interest rate benchmark used to set other interest rates
    2. Forward premium denotes to a situation in which the forward or expected future price for a currency is greater than the spot price
  2. d

    Week wise Ratios (Cash Reserve, Cash-Deposit, Credit-Deposit), Rates (Bank,...

    • dataful.in
    Updated Jun 27, 2025
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    Dataful (Factly) (2025). Week wise Ratios (Cash Reserve, Cash-Deposit, Credit-Deposit), Rates (Bank, Base Rate, Call Money-Weighted Average, Fixed Reverse Repo Rate) and FBIL Reference Rate and Forward Premia Data [Dataset]. https://dataful.in/datasets/17860
    Explore at:
    xlsx, application/x-parquet, csvAvailable download formats
    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Dataful (Factly)
    License

    https://dataful.in/terms-and-conditionshttps://dataful.in/terms-and-conditions

    Area covered
    India
    Variables measured
    rates, ratio
    Description

    This Dataset contains weekly data on Cash Reserve Ratio, Cash-Deposit Ratio, Credit-Deposit Ratio, Incremental Credit-Deposit Ratio, Incremental Investment-Deposit Ratio, Investment-Deposit Ratio, Statutory Liquidity Ratio, 10-Year G-Sec Par Yield (FBIL), Treasury Bill (Primary) Yield, Bank Rate, Base Rate, Call Money Rate (Weighted Average), Fixed Reverse Repo Rate, Marginal Standing Facility (MSF) Rate, MCLR (Overnight), Policy Repo Rate, Savings Deposit Rate, Standing Deposit Facility (SDF) Rate, Term Deposit Rate More than 1 Year, INR-Euro Spot Rate, INR-USD Spot Rate

    Note: 1) FBIL Reference rate means the rates of currency pairs computed and published on a daily basis, on all Mumbai business days, by Financial Benchmarks India Private Limited. 2) FBIL has taken over from RBI, the computation and dissemination of reference rate for spot USD/INR and exchange rate of other major currencies with effect from July 10, 2018.

  3. T

    Switzerland Interest Rate

    • tradingeconomics.com
    • ru.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 19, 2025
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    TRADING ECONOMICS (2025). Switzerland Interest Rate [Dataset]. https://tradingeconomics.com/switzerland/interest-rate
    Explore at:
    excel, csv, json, xmlAvailable 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 3, 2000 - Jun 19, 2025
    Area covered
    Switzerland
    Description

    The benchmark interest rate in Switzerland was last recorded at 0 percent. This dataset provides - Switzerland Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  4. T

    Brazil Interest Rate

    • tradingeconomics.com
    • tr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 18, 2025
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    TRADING ECONOMICS (2025). Brazil Interest Rate [Dataset]. https://tradingeconomics.com/brazil/interest-rate
    Explore at:
    xml, json, csv, excelAvailable download formats
    Dataset updated
    Jun 18, 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 - Jun 18, 2025
    Area covered
    Brazil
    Description

    The benchmark interest rate in Brazil was last recorded at 15 percent. This dataset provides - Brazil Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  5. M

    AMERIBOR Term-30 Interest Rate Index (2021-2025)

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). AMERIBOR Term-30 Interest Rate Index (2021-2025) [Dataset]. https://www.macrotrends.net/3650/ameribor-term-30-interest-rate-index
    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
    2021 - 2025
    Area covered
    United States
    Description

    AMERIBOR® (American Interbank Offered Rate) is a benchmark interest rate based on overnight unsecured loans transacted on the American Financial Exchange (AFX). AMERIBOR® is calculated as the transaction volume weighted average interest rate of the daily transactions in the AMERIBOR® overnight unsecured loan market on the AFX.

    AMERIBOR® Term-30 Index is a forward-looking interest rate designed to capture wholesale funding costs for American financial institutions over a thirty-day period at a specific moment in time. This index is calculated using AMERIBOR (https://fred.stlouisfed.org/series/AMERIBOR) as well as a broad dataset of real-world primary issuances of wholesale commercial deposits and commercial paper of U.S.-domiciled financial institutions of every size. More details about AMERIBOR® methodology can be found on the source's website (https://ameribor.net/), under the Resources section.

    AMERIBOR® is a registered trademark of the American Financial Exchange (AFX). © Copyright, American Financial Exchange (AFX). All Rights Reserved.

  6. d

    Day Wise Forward Premia of Inter Banks

    • dataful.in
    Updated Jun 27, 2025
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    Dataful (Factly) (2025). Day Wise Forward Premia of Inter Banks [Dataset]. https://dataful.in/datasets/17833
    Explore at:
    application/x-parquet, xlsx, csvAvailable download formats
    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Dataful (Factly)
    License

    https://dataful.in/terms-and-conditionshttps://dataful.in/terms-and-conditions

    Area covered
    India
    Variables measured
    Forward Premia
    Description

    The dataset shows forward premia of inter banks

    Note: 1. Reference rate is used for calculating interbank forward premia of US dollar in percent. 2. Financial Benchmarks India Private Limited (FBIL) commenced dissemination of reference rate w.e.f July 10, 2018.

  7. M

    AMERIBOR Term-90 Rate Index (2021-2025)

    • macrotrends.net
    csv
    Updated Jun 30, 2025
    + more versions
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    MACROTRENDS (2025). AMERIBOR Term-90 Rate Index (2021-2025) [Dataset]. https://www.macrotrends.net/4334/ameribor-term-90-rate-index
    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
    2021 - 2025
    Area covered
    United States
    Description

    AMERIBOR® (American Interbank Offered Rate) is a benchmark interest rate based on overnight unsecured loans transacted on the American Financial Exchange (AFX). AMERIBOR® is calculated as the transaction volume weighted average interest rate of the daily transactions in the AMERIBOR® overnight unsecured loan market on the AFX.

    AMERIBOR® Term-90 Index is a forward-looking interest rate designed to capture wholesale funding costs for American financial institutions over a ninety-day period at a specific moment in time. This index is calculated using a broad dataset of real-world primary issuances of wholesale commercial deposits and commercial paper of U.S.-domiciled financial institutions of every size. More details about AMERIBOR® methodology can be found on the source's website (https://ameribor.net/), under the Resources section.

    AMERIBOR® is a registered trademark of the American Financial Exchange (AFX). © Copyright, American Financial Exchange (AFX). All Rights Reserved.

  8. F

    FOMC Summary of Economic Projections for the Fed Funds Rate, Median

    • fred.stlouisfed.org
    json
    Updated Jun 18, 2025
    + more versions
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    (2025). FOMC Summary of Economic Projections for the Fed Funds Rate, Median [Dataset]. https://fred.stlouisfed.org/series/FEDTARMD
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 18, 2025
    License

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

    Description

    Graph and download economic data for FOMC Summary of Economic Projections for the Fed Funds Rate, Median (FEDTARMD) from 2025 to 2027 about projection, federal, median, rate, and USA.

  9. 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.

  10. Email opens and clicks over time

    • getresponse.com
    Updated Apr 5, 2017
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    GetResponse (2017). Email opens and clicks over time [Dataset]. https://www.getresponse.com/resources/reports/email-marketing-benchmarks
    Explore at:
    Dataset updated
    Apr 5, 2017
    Dataset authored and provided by
    GetResponse
    License

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

    Description

    How many of your subscribers open your emails within the first two, four, or six hours after sending? Is it the same for clicks? Here, we’re looking at how the recipients’ engagement changed over time after the campaign was sent.

  11. T

    China Loan Prime Rate

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 20, 2025
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    TRADING ECONOMICS (2025). China Loan Prime Rate [Dataset]. https://tradingeconomics.com/china/interest-rate
    Explore at:
    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    Jun 20, 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 25, 2013 - Jun 20, 2025
    Area covered
    China
    Description

    The benchmark interest rate in China was last recorded at 3 percent. This dataset provides the latest reported value for - China Interest Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  12. F

    Secured Overnight Financing Rate

    • fred.stlouisfed.org
    json
    Updated Jun 30, 2025
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    (2025). Secured Overnight Financing Rate [Dataset]. https://fred.stlouisfed.org/series/SOFR
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 30, 2025
    License

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

    Description

    Graph and download economic data for Secured Overnight Financing Rate (SOFR) from 2018-04-03 to 2025-06-27 about financing, overnight, securities, rate, and USA.

  13. T

    Sweden Interest Rate

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 8, 2025
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    TRADING ECONOMICS (2025). Sweden Interest Rate [Dataset]. https://tradingeconomics.com/sweden/interest-rate
    Explore at:
    csv, excel, xml, jsonAvailable download formats
    Dataset updated
    May 8, 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 26, 1994 - Jun 18, 2025
    Area covered
    Sweden
    Description

    The benchmark interest rate in Sweden was last recorded at 2 percent. This dataset provides the latest reported value for - Sweden Interest Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  14. Benchmarking Software Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Benchmarking Software Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/benchmarking-software-market
    Explore at:
    pptx, pdf, csvAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Benchmarking Software Market Outlook



    The global market size for benchmarking software was valued at approximately USD 1.5 billion in 2023 and is projected to reach USD 4.8 billion by 2032, growing at a compound annual growth rate (CAGR) of 14.2% during the forecast period. This growth is primarily driven by the increasing need for businesses to enhance their operational efficiency and competitive edge through comprehensive performance analysis and strategic planning.



    One of the primary growth factors driving the benchmarking software market is the rapid digital transformation across various industries. Organizations are increasingly adopting advanced technologies to streamline operations, reduce costs, and improve decision-making processes. Benchmarking software provides companies with critical insights into their performance relative to industry standards and competitors, enabling them to identify areas for improvement and optimize their resources effectively. This demand for strategic business intelligence tools is expected to continue propelling the market forward.



    Another significant driver is the growing emphasis on data-driven decision-making. In today's competitive business environment, relying on intuition or traditional methods is no longer sufficient. Companies are leveraging data analytics to gain actionable insights into their performance metrics. Benchmarking software facilitates the collection, analysis, and interpretation of vast amounts of data, helping businesses make informed decisions and stay ahead of the competition. This trend is particularly prominent in sectors such as BFSI, healthcare, and IT and telecommunications.



    The increasing complexity of business operations and the need for continuous improvement also contribute to the market's growth. Organizations are continually seeking ways to enhance their processes, reduce inefficiencies, and achieve higher productivity. Benchmarking software enables them to compare their performance against industry leaders and best practices, identify gaps, and implement targeted strategies for improvement. This continuous improvement culture is gaining traction across various sectors, further driving the demand for benchmarking solutions.



    In terms of regional outlook, North America holds a significant share of the benchmarking software market, owing to the presence of numerous technology-driven enterprises and a high adoption rate of advanced software solutions. The region's well-established IT infrastructure and the growing focus on digital transformation initiatives are key factors contributing to market growth. Europe is also expected to witness substantial growth, driven by the increasing need for performance optimization and regulatory compliance. The Asia Pacific region is anticipated to register the highest CAGR during the forecast period, fueled by rapid industrialization, increasing investments in technology, and the rising adoption of benchmarking software by SMEs.



    In the realm of performance analytics, Business Dashboard Software plays a pivotal role by providing organizations with a visual representation of their key performance indicators (KPIs) and metrics. These dashboards enable businesses to monitor their performance in real-time, facilitating quick decision-making and strategic planning. By integrating benchmarking software with business dashboards, companies can gain a comprehensive view of their performance relative to industry standards, allowing them to identify areas for improvement and optimize their operations. This synergy of tools not only enhances data visualization but also empowers organizations to drive continuous improvement and maintain a competitive edge in the market.



    Component Analysis



    The benchmarking software market can be segmented into software and services. The software segment holds the largest market share, driven by the widespread adoption of advanced IT solutions across various industries. Benchmarking software encompasses a wide range of tools and platforms designed to facilitate performance analysis, data visualization, and strategic planning. These solutions enable organizations to collect, analyze, and interpret data from multiple sources, providing valuable insights into their performance metrics and helping them make data-driven decisions.



    Within the software segment, cloud-based benchmarking solutions are gaining significant traction. The flexibility, scalability, and cost-ef

  15. E-mail open & click rates based on opening hour post-send worldwide 2023

    • statista.com
    Updated Dec 10, 2024
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    Statista (2024). E-mail open & click rates based on opening hour post-send worldwide 2023 [Dataset]. https://www.statista.com/statistics/1393765/email-open-rates-post-send/
    Explore at:
    Dataset updated
    Dec 10, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    In 2023, based on an analysis of around seven billion e-mails sent to customers worldwide, the share of e-mail marketing campaign opens was 21.2 percent during the first hour post-send. The open rates of e-mail campaigns amounted to 68.69 percent in the first eight hours after sending.

  16. 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.

  17. 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.

  18. Historical data

    • kaggle.com
    Updated May 11, 2024
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    willian oliveira gibin (2024). Historical data [Dataset]. http://doi.org/10.34740/kaggle/dsv/8386348
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 11, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    willian oliveira gibin
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    this graph was created in OurDataWorld:

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F16731800%2Fc099e1eee01f448c6c8f40c2d83de5eb%2Fgraph1.png?generation=1715453565007185&alt=media" alt="">

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F16731800%2Facca62b608d0c4817206ea2d9f671a77%2Fgraph3.png?generation=1715453571722599&alt=media" alt="">

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F16731800%2Fdb52a1fa0b9db9f7d84bacedb217e160%2Fgraph2.png?generation=1715453577861078&alt=media" alt="">

    What you should know about this indicator This GDP per capita indicator provides information on economic growth and income levels in the very long run. Some country estimates are available as far back as 1 CE and regional estimates as far back as 1820 CE. This data is adjusted for inflation and for differences in the cost of living between countries. This data is expressed in international-$ at 2011 prices, using a combination of 2011 and 1990 PPPs for historical data. Time series for former countries and territories are calculated forward in time by estimating values based on their last official borders. For more regularly updated estimates of GDP per capita, see the World Bank's indicator.

    Real GDP per capita in 2011$

    In two ways, this analysis leads to departures from the original Maddison approach and closer to the multiple benchmark approach as developed by the PWT. There is, to begin with, no doubt that the 2011 PPPs and the related estimates of GDP per capita reflect the relative levels of GDP per capita in the world economy today better than the combination of the 1990 benchmark and growth rates of GDP per capita according to national accounts. This information should be taken into account. At the same time, the underlying rule within the current Maddison Database is that economic growth rates of countries in the dataset should be identical or as close as possible to growth rates according to the national accounts (which is also the case for the pre 1990 period). For the post-1990 period we therefore decided to integrate the 2011 benchmarks by adapting the growth rates of GDP per capita in the period 1990–2011 to align the two (1990 and 2011) benchmarks. We estimated the difference between the combination of the 1990 benchmark and the growth rates of GDP (per capita) between 1990 and 2011 according to the national accounts, and annual growth rate from the 1990 benchmark to the 2011 benchmark. This difference is then evenly distributed to the growth rate of GDP per capita between 1990 and 2011; in other words, we added a country specific correction (constant for all years between 1990 and 2011) to the annual national account rate of growth to connect the 1990 benchmark to the 2011 benchmark. Growth after 2011 is, in the current update, exclusively based on the growth rates of GDP per capita according to national accounts.

    We also use the collected set of historical benchmark estimates to fine tune the dataset for the pre-1940 period, but only in those cases where the quality of the benchmark was high and there were multiple benchmarks to support a revision. The most important correction concerns the US/UK comparison. The conventional picture, based on the original 1990 Maddison estimates, indicated that the US overtook the UK as the world leader in the early years of the 20th century. This finding was first criticized by Ward and Devereux (2003), who argued, based on alternative measures of PPP-adjusted benchmarks between 1870 and 1930, that the United States was already leading the United Kingdom in terms of GDP per capita in the 1870s. This conclusion was criticized by Broadberry (2003).

    New evidence, however, suggests a more complex picture: in the 18th century, real incomes in the US (settler colonies only, not including indigenous populations) were probably higher than those in the UK (Lindert & Williamson, 2016a). Until about 1870, growth was both exten- sive (incorporating newly settled territory) and intensive (considering the growth of cities and industry at the east coast), but on balance, the US may—in terms of real income—have lagged behind the UK. After 1870, intensive growth becomes more important, and the US slowly gets the upper hand. This pattern is consistent with direct benchmark comparison of the income of both countries for the period 1907–1909 (Woltjer, 2015). This shows that GDP per capita for the United States in those years was 26% higher than in the United Kingdom. We have used Woltjer’s (2015) benchmark to correct the GDP series of the two countries. Projecting this benchmark into the 19th century with the series of GDP per capita of both countries results in the two countries achieving parity in 1880. This is close to Prados de la Escosura’s conjecture based on his short- cut method (Prados de la Escosura, 2000), and even closer to the Lindert and Williamson (2016a) results.

  19. 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.

  20. F

    Federal Funds Target Range - Upper Limit

    • fred.stlouisfed.org
    json
    Updated Jun 30, 2025
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    (2025). Federal Funds Target Range - Upper Limit [Dataset]. https://fred.stlouisfed.org/series/DFEDTARU
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    jsonAvailable download formats
    Dataset updated
    Jun 30, 2025
    License

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

    Description

    Graph and download economic data for Federal Funds Target Range - Upper Limit (DFEDTARU) from 2008-12-16 to 2025-06-30 about federal, interest rate, interest, rate, and USA.

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Dataful (Factly) (2025). Economic Indicators: Year- and Month-wise Forward Premia and Reference Rates of Euros and Dollars [Dataset]. https://dataful.in/datasets/18612

Economic Indicators: Year- and Month-wise Forward Premia and Reference Rates of Euros and Dollars

Explore at:
csv, application/x-parquet, xlsxAvailable download formats
Dataset updated
Jun 13, 2025
Dataset authored and provided by
Dataful (Factly)
License

https://dataful.in/terms-and-conditionshttps://dataful.in/terms-and-conditions

Area covered
India
Variables measured
Spot rate value in per USD, Spot Rate value in per Euro, Forward Premia of 1 month, Forward Premia of 3 month, Forward Premia of 6 month
Description

The dataset contains year- and month-wise compiled economic indicators data from the year 2010 to till date on the reference rates of indian rupees per each euro and dollar and economic premia

Notes:

  1. Reference rate is an interest rate benchmark used to set other interest rates
  2. Forward premium denotes to a situation in which the forward or expected future price for a currency is greater than the spot price
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