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Nominal Statistical Discrepancy for United States was 0.00000 Domestic Currency in January of 2021, according to the United States Federal Reserve. Historically, Nominal Statistical Discrepancy for United States reached a record high of 5000.00000 in July of 1951 and a record low of -100.00000 in October of 1950. Trading Economics provides the current actual value, an historical data chart and related indicators for Nominal Statistical Discrepancy for United States - last updated from the United States Federal Reserve on July of 2025.
These are nominal yield curves, obtained by fitting a parametric form to the prices of off-the-run nominal Treasury coupon securities. The data are available at daily frequency, from 1961 to present.
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Catches in FAO area 27 by country, species, area and year. Source: Eurostat/ICES database on catch statistics - ICES 2011, Copenhagen. Format: Archived dataset in .xls and .csv format. Version 26-06-2019 https://www.ices.dk/data/dataset-collections/Pages/Fish-catch-and-stock-assessment.aspx
Being relatively new to the field, electromechanical actuators in aerospace applications lack the knowledge base compared to ones accumulated for the other actuator types, especially when it comes to fault detection and characterization. Lack of health monitoring data from fielded systems and prohibitive costs of carrying out real flight tests push for the need of building system models and designing affordable but realistic experimental setups. This paper presents our approach to accomplish a comprehensive test environment equipped with fault injection and data collection capabilities. Efforts also include development of multiple models for EMA operations, both in nominal and fault conditions that can be used along with measurement data to generate effective diagnostic and prognostic estimates. A detailed description has been provided about how various failure modes are inserted in the test environment and corresponding data is collected to verify the physics based models under these failure modes that have been developed in parallel. A design of experiment study has been included to outline the details of experimental data collection. Furthermore, some ideas about how experimental results can be extended to real flight environments through actual flight tests and using real flight data have been presented. Finally, the roadmap leading from this effort towards developing successful prognostic algorithms for electromechanical actuators is discussed.*
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's (Nominal) Statistical discrepancy (2011 base) is -260,028[million yen] which is the 40th highest in Japan (by Prefecture). Transition Graphs and Comparison chart between Yamagata and Miyazaki(Miyazaki) and Toyama(Toyama)(Closest Prefecture in Population) are available. Various data can be downloaded and output in csv format for use in EXCEL free of charge.
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Hong Kong Nominal Wage Index: Qtr: Professional & Business Services data was reported at 266.300 Sep1992=100 in Jun 2018. This records an increase from the previous number of 258.100 Sep1992=100 for Mar 2018. Hong Kong Nominal Wage Index: Qtr: Professional & Business Services data is updated quarterly, averaging 174.000 Sep1992=100 from Mar 2004 (Median) to Jun 2018, with 58 observations. The data reached an all-time high of 266.300 Sep1992=100 in Jun 2018 and a record low of 134.700 Sep1992=100 in Sep 2005. Hong Kong Nominal Wage Index: Qtr: Professional & Business Services data remains active status in CEIC and is reported by Census and Statistics Department. The data is categorized under Global Database’s Hong Kong SAR – Table HK.G104: Nominal and Real Wage Index: by Industry: HSIC 2.0.
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Key information about United States Nominal GDP
Wage and Payroll Statistics - Table 220-19021 : Nominal Indices of Payroll per Person Engaged by industry section (Q1 1999 = 100)
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Key information about Denmark Nominal GDP
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Graph and download economic data for Nominal Gross Domestic Product for United States (NGDPNSAXDCUSQ) from Q1 1950 to Q1 2025 about GDP and USA.
While in 2018, digitally transformed enterprises accounted for 13.5 trillion U.S. dollars of the global nominal GDP, in 2023 they are forecast to account for 53.3 trillion U.S. dollars, more than half of the overall nominal GDP. This signals that digital supremacy in the global economy is near.
Digital transformation: benefits and necessity
Among many other benefits, digital transformation is essential for helping businesses to create better customer experiences as well as improve their process efficiency through automation. Digitally transformed enterprises are equipped to drive new revenue and stay ahead of the competition. The difficult economic situation brought about by the global coronavirus (COVID-19) pandemic, however, has made digital transformation a necessity rather something nice to have - leading DX activities has become CIOs’ top task to help business preserve through the COVID disruption.
Digital transformation challenges
Despite evidence of widespread benefits through digital transformation, its implementation is not without challenges. Businesses worldwide cite skill gaps and cultural differences as major challenges in their pursuit of digital transformation.A lack of clarity on transformation strategy and insufficient alignment across organizational departments are top reasons as to why some businesses stall momentum in their digital transformation efforts.
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This data examines the two-month effect of vlogging on communication skills of first-year primary education students. It includes pre- and post-test scores from 75 students, assessed on politeness, comprehension, body language, content clarity, attitude, and creativity.
Real interest rates describe the growth in the real value of the interest on a loan or deposit, adjusted for inflation. Nominal interest rates on the other hand show us the raw interest rate, which is unadjusted for inflation. If the inflation rate in a certain country were zero percent, the real and nominal interest rates would be the same number. As inflation reduces the real value of a loan, however, a positive inflation rate will mean that the nominal interest rate is more likely to be greater than the real interest rate. We can see this in the recent inflationary episode which has taken place in the wake of the Coronavirus pandemic, with nominal interest rates rising over the course of 2022, but still lagging far behind the rate of inflation, meaning these rate rises register as smaller increases in the real interest rate.
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Key information about Jordan Nominal GDP Growth
The Mars Express PFS data set contains raw (CODMAC Level 2) measurements from the Planetary Fourier Spectrometer collected during the first extension Mars orbit phases.
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SIA205 - Composition of Nominal Household and Equivalised Income. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Composition of Nominal Household and Equivalised Income...
Wage and Payroll Statistics - Table 220-19005 : Nominal Wage Indices for employees up to supervisory level by occupational group (September 1992 = 100)
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Russia Nominal Wages: Period Average data was reported at 88,981.000 RUB in Jan 2025. This records a decrease from the previous number of 128,665.000 RUB for Dec 2024. Russia Nominal Wages: Period Average data is updated monthly, averaging 15,354.000 RUB from Jan 1991 (Median) to Jan 2025, with 409 observations. The data reached an all-time high of 128,665.000 RUB in Dec 2024 and a record low of 0.294 RUB in Feb 1991. Russia Nominal Wages: Period Average data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Global Database’s Russian Federation – Table RU.GC001: Nominal, Real and Minimal Wages. [COVID-19-IMPACT]
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This dataset provides values for GDP NOMINAL reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.
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Key information about Mexico Nominal GDP Growth
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Nominal Statistical Discrepancy for United States was 0.00000 Domestic Currency in January of 2021, according to the United States Federal Reserve. Historically, Nominal Statistical Discrepancy for United States reached a record high of 5000.00000 in July of 1951 and a record low of -100.00000 in October of 1950. Trading Economics provides the current actual value, an historical data chart and related indicators for Nominal Statistical Discrepancy for United States - last updated from the United States Federal Reserve on July of 2025.