100+ datasets found
  1. 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.

  2. Vietnam Natural Increase Rate: Urban

    • ceicdata.com
    Updated Jul 30, 2018
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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
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    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. 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.

  5. F

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

    • fred.stlouisfed.org
    json
    Updated May 12, 2025
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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
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    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.

  6. f

    Correlation between inflation and policy rates.

    • plos.figshare.com
    xls
    Updated Dec 11, 2023
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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.

  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
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    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. 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.

  10. F

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

    • fred.stlouisfed.org
    json
    Updated Jun 26, 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
    Jun 26, 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 Q2 2025 about contracts, volume, collateral, change, 3-month, interest rate, interest, rate, and USA.

  11. T

    United States Personal Savings Rate

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +12more
    csv, excel, json, xml
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    TRADING ECONOMICS, United States Personal Savings Rate [Dataset]. https://tradingeconomics.com/united-states/personal-savings
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    xml, excel, json, csvAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 31, 1959 - May 31, 2025
    Area covered
    United States
    Description

    Household Saving Rate in the United States decreased to 4.50 percent in May from 4.90 percent in April of 2025. This dataset provides - United States Personal Savings Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  12. D

    Annual Allowable Rent Increase for Units Under Rent Control

    • data.sfgov.org
    • s.cnmilf.com
    • +1more
    application/rdfxml +5
    Updated Feb 10, 2015
    + more versions
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    (2015). Annual Allowable Rent Increase for Units Under Rent Control [Dataset]. https://data.sfgov.org/Housing-and-Buildings/Annual-Allowable-Rent-Increase-for-Units-Under-Ren/hsxb-ci7b
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    application/rdfxml, xml, tsv, csv, application/rssxml, jsonAvailable download formats
    Dataset updated
    Feb 10, 2015
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Description

    In accordance with Rules and Regulations Section 1.12 (https://www.sf.gov/reports--rent-board-rules-and-regulations), the Rent Board sets the annual allowable rent increase for rent controlled units. The new rates are effective every year on March 1. The amount is based on 60% of the percentage increase in the Consumer Price Index (CPI) for All Urban Consumers in the San Francisco-Oakland-San Jose region for the 12-month period ending October 31, as posted in November by the Bureau of Labor Statistics.

  13. 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/
    Explore at:
    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.

  14. Non-domestic rates collected by local councils in England: 2012 to 2013...

    • gov.uk
    Updated Dec 17, 2013
    + more versions
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    Ministry of Housing, Communities & Local Government (2018 to 2021) (2013). Non-domestic rates collected by local councils in England: 2012 to 2013 (updated) [Dataset]. https://www.gov.uk/government/statistics/non-domestic-rates-collected-by-local-councils-in-england-2012-to-2013-updated
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    Dataset updated
    Dec 17, 2013
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Ministry of Housing, Communities & Local Government (2018 to 2021)
    Area covered
    England
    Description

    This release provides details of the national non-domestic rates collected by local authorities in England in 2012 to 2013 and updates the figures that were announced on 14 August 2013.

    The latest statistics release includes data between 2008 to 2009 and 2012 to 2013.

    The key points from the latest release are:

    • as a result of certification by auditors, there are a number of changes from the previous release at a local authority level; however the net result at an all England level is very small. The net change in the contribution to the pool figure is that it has fallen by £8 million from £21,360 million to £21,352 million

    • the net rate yield (after allowances for changes in respect of previous years and reliefs) increased by 3.7% to £21.8 billion in 2012 to 2013

    • the contribution to the pool (net rate yield after allowances for collection costs including losses) grew by 3.4% over the figure for 2011 to 2012; although there was a 5.6% increase in the multiplier, and a small increase in the overall rateable value in England, there was a large increase in changes in respect of previous years coupled with the continuing growth in the amount of mandatory charity relief granted, a rise in the amount of empty property relief granted and a rise in the small business rate relief granted

    • between 2008 to 2009 and 2012 to 2013 the contribution to the pool from the local lists increased by £2.6 billion or 14%

    • local authorities granted a total of £2.4 billion of mandatory and discretionary reliefs in 2012 to 2013, an increase of nearly 12% compared with 2011 to 2012

    • local authorities granted a total of £1.3 billion of mandatory charity relief in 2012 to 2013, an increase of more than 13% when compared with the 2011 to 2012 figure and an increase of 52% when compared with 2008 to 2009

    • local authorities granted a total of £957 million in empty property relief in 2012 to 2013, an increase of more than 11% when compared with the 2011 to 2012 figure

  15. E

    Maize experiment with increasing rates of nitrogen to develop a calibration...

    • data.moa.gov.et
    html
    Updated Jan 20, 2025
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    CIMMYT Ethiopia (2025). Maize experiment with increasing rates of nitrogen to develop a calibration for the GreenSeeker in Guanajuato [Dataset]. https://data.moa.gov.et/dataset/hdl-11529-10548815
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    htmlAvailable download formats
    Dataset updated
    Jan 20, 2025
    Dataset provided by
    CIMMYT Ethiopia
    Description

    This experiments were established with different rates of nitrogen in order to generate a wide range of values for NDVI and grain yield in order to develop a calibration model for the GreenSeeker in Sinaloa.

  16. f

    High mutation rates limit evolutionary adaptation in Escherichia coli

    • plos.figshare.com
    • data.niaid.nih.gov
    • +1more
    pdf
    Updated May 30, 2023
    + more versions
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    Kathleen Sprouffske; José Aguilar-Rodríguez; Paul Sniegowski; Andreas Wagner (2023). High mutation rates limit evolutionary adaptation in Escherichia coli [Dataset]. http://doi.org/10.1371/journal.pgen.1007324
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    pdfAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOS Genetics
    Authors
    Kathleen Sprouffske; José Aguilar-Rodríguez; Paul Sniegowski; Andreas Wagner
    License

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

    Description

    Mutation is fundamental to evolution, because it generates the genetic variation on which selection can act. In nature, genetic changes often increase the mutation rate in systems that range from viruses and bacteria to human tumors. Such an increase promotes the accumulation of frequent deleterious or neutral alleles, but it can also increase the chances that a population acquires rare beneficial alleles. Here, we study how up to 100-fold increases in Escherichia coli’s genomic mutation rate affect adaptive evolution. To do so, we evolved multiple replicate populations of asexual E. coli strains engineered to have four different mutation rates for 3000 generations in the laboratory. We measured the ability of evolved populations to grow in their original environment and in more than 90 novel chemical environments. In addition, we subjected the populations to whole genome population sequencing. Although populations with higher mutation rates accumulated greater genetic diversity, this diversity conveyed benefits only for modestly increased mutation rates, where populations adapted faster and also thrived better than their ancestors in some novel environments. In contrast, some populations at the highest mutation rates showed reduced adaptation during evolution, and failed to thrive in all of the 90 alternative environments. In addition, they experienced a dramatic decrease in mutation rate. Our work demonstrates that the mutation rate changes the global balance between deleterious and beneficial mutational effects on fitness. In contrast to most theoretical models, our experiments suggest that this tipping point already occurs at the modest mutation rates that are found in the wild.

  17. 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
    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, 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.

  18. g

    Rate Review Detail, Trend | gimi9.com

    • gimi9.com
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    Rate Review Detail, Trend | gimi9.com [Dataset]. https://gimi9.com/dataset/california_rate-review-detail-trend
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    License

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

    Description

    This data is from the California Department of Managed Health Care (DMHC). It contains all information on health plan proposed premium rates filed with the DMHC since January 1, 2011. The DMHC is committed to providing the public with information in order to expand consumer understanding about premium rate increases. The DMHC does not have the authority to approve or deny rate increases; however, the DMHC's review of proposed premium rates improves accountability in health plan rate setting and often results in a reduction in the proposed rate.

  19. d

    College Affordability and Transparency List Explanation Form, 2016-17

    • catalog.data.gov
    • datasets.ai
    Updated Aug 12, 2023
    + more versions
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    Office of Postsecondary Education (OPE) (2023). College Affordability and Transparency List Explanation Form, 2016-17 [Dataset]. https://catalog.data.gov/dataset/college-affordability-and-transparency-list-explanation-form-2016-17-5ac0a
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    Dataset updated
    Aug 12, 2023
    Dataset provided by
    Office of Postsecondary Education (OPE)
    Description

    College Affordability and Transparency List Explanation Form 2016-17 (CATEF 2016-17) is a cross-sectional data collection that collects information on the major areas of institutions' budgets with the greatest cost increases, the explanations for these increases, and the steps institutions have been or will be taking towards reducing these costs. The data collection is conducted on the subset of institutions that appear on the tuition and fees and/or net price increase lists for being in the five percent of institutions in their institutional sector that have the highest increases, expressed as a percentage change, over the three-year time period. This data collection is mandatory and expects a 100 percent response rate. Key statistics produced from CATEF 2016Ã-17 are a description of the major areas in the institution's budget with the greatest cost increases; an explanation of the cost increases; a description of the steps the institution will take toward the goal of reducing costs in the areas described; an explanation of the extent to which the institution participates in determining such cost increase; the identification of the agency or instrumentality of state government responsible for determining such cost increase; and any other information the institution considers relevant to the report.

  20. Jordan JO: Real Interest Rate

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Jordan JO: Real Interest Rate [Dataset]. https://www.ceicdata.com/en/jordan/interest-rates/jo-real-interest-rate
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    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, 2005 - Dec 1, 2016
    Area covered
    Jordan
    Variables measured
    Money Market Rate
    Description

    Jordan JO: Real Interest Rate data was reported at 7.037 % pa in 2016. This records an increase from the previous number of 6.066 % pa for 2015. Jordan JO: Real Interest Rate data is updated yearly, averaging 6.066 % pa from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 12.781 % pa in 1999 and a record low of -9.045 % pa in 2008. Jordan JO: Real Interest Rate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Jordan – Table JO.World Bank: 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.; ;

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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/
Organization logo

Reaction of institutional investors to interest rate increases 2016

Explore at:
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.

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