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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.; ;