100+ datasets found
  1. T

    Nominal Statistical Discrepancy for United States

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 14, 2025
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    TRADING ECONOMICS (2025). Nominal Statistical Discrepancy for United States [Dataset]. https://tradingeconomics.com/united-states/nominal-statistical-discrepancy-for-united-states-fed-data.html
    Explore at:
    excel, xml, csv, jsonAvailable download formats
    Dataset updated
    May 14, 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, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    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.

  2. Yield Curve Models and Data - Nominal Yield Curve

    • catalog.data.gov
    • s.cnmilf.com
    Updated Dec 18, 2024
    + more versions
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    Board of Governors of the Federal Reserve System (2024). Yield Curve Models and Data - Nominal Yield Curve [Dataset]. https://catalog.data.gov/dataset/yield-curve-models-and-data-nominal-yield-curve
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    Dataset updated
    Dec 18, 2024
    Dataset provided by
    Federal Reserve Systemhttp://www.federalreserve.gov/
    Description

    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.

  3. d

    Historical Nominal Catches 1950-2010 - Dataset - CE data hub

    • datahub.digicirc.eu
    Updated Oct 19, 2021
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    (2021). Historical Nominal Catches 1950-2010 - Dataset - CE data hub [Dataset]. https://datahub.digicirc.eu/dataset/historical-nominal-catches-1950-2010
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    Dataset updated
    Oct 19, 2021
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Description

    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

  4. d

    Data from: Experimental Data Collection and Modeling for Nominal and Fault...

    • catalog.data.gov
    • data.nasa.gov
    • +1more
    Updated Apr 11, 2025
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    Dashlink (2025). Experimental Data Collection and Modeling for Nominal and Fault Conditions on Electro-Mechanical Actuators [Dataset]. https://catalog.data.gov/dataset/experimental-data-collection-and-modeling-for-nominal-and-fault-conditions-on-electro-mech
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    Dataset updated
    Apr 11, 2025
    Dataset provided by
    Dashlink
    Description

    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.*

  5. Y

    Yamagata's (Nominal) Statistical discrepancy (2011 base)(2006 to 2016)

    • en.graphtochart.com
    csv
    Updated Apr 12, 2021
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    LBB Limited Liability Company (2021). Yamagata's (Nominal) Statistical discrepancy (2011 base)(2006 to 2016) [Dataset]. https://en.graphtochart.com/japan/yamagata-nominal-statistical-discrepancy-2011-base.php
    Explore at:
    csvAvailable download formats
    Dataset updated
    Apr 12, 2021
    Dataset authored and provided by
    LBB Limited Liability Company
    License

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

    Time period covered
    2006 - 2016
    Area covered
    Description

    '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.

  6. Hong Kong SAR, China Nominal Wage Index: Qtr: Professional & Business...

    • ceicdata.com
    Updated Dec 15, 2018
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    CEICdata.com (2018). Hong Kong SAR, China Nominal Wage Index: Qtr: Professional & Business Services [Dataset]. https://www.ceicdata.com/en/hong-kong/nominal-and-real-wage-index-by-industry-hsic-20/nominal-wage-index-qtr-professional--business-services
    Explore at:
    Dataset updated
    Dec 15, 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
    Mar 1, 2015 - Dec 1, 2017
    Area covered
    Hong Kong
    Variables measured
    Wage/Earnings
    Description

    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.

  7. United States Nominal GDP

    • ceicdata.com
    Updated Feb 15, 2020
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    CEICdata.com (2020). United States Nominal GDP [Dataset]. https://www.ceicdata.com/en/indicator/united-states/nominal-gdp
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    Dataset updated
    Feb 15, 2020
    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
    Jun 1, 2020 - Mar 1, 2023
    Area covered
    United States
    Description

    Key information about United States Nominal GDP

    • United States Nominal GDP reached 6,621.6 USD bn in Mar 2023, compared with 6,534.5 USD bn in the previous quarter.
    • Nominal GDP in US is updated quarterly, available from Mar 1947 to Mar 2023, with an average number of 1,057.5 USD bn.
    • The data reached an all-time high of 6,621.6 USD bn in Mar 2023 and a record low of 60.8 USD bn in Mar 1947.

    CEIC de-annualizes quarterly Nominal GDP. The Bureau of Economic Analysis provides annualized Nominal GDP in USD.


    Related information about United States Nominal GDP

    • In the latest reports, US GDP expanded 1.6 % YoY in Mar 2023.
    • Its GDP deflator (implicit price deflator) increased 5.4 % in Mar 2023.
    • US GDP Per Capita reached 59,484.0 USD in Dec 2017.
    • Its Gross Savings Rate was measured at 15.9 % in Mar 2023.
    • For Nominal GDP contributions, Investment accounted for 20.7 % in Mar 2023.
    • Public Consumption accounted for 14.1 % in Mar 2023.
    • Private Consumption accounted for 67.9 % in Mar 2023.

  8. Wage and Payroll Statistics - Table 220-19021 : Nominal Indices of Payroll...

    • data.gov.hk
    Updated Mar 10, 2023
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    data.gov.hk (2023). Wage and Payroll Statistics - Table 220-19021 : Nominal Indices of Payroll per Person Engaged by industry section (Q1 1999 = 100) [Dataset]. https://data.gov.hk/en-data/dataset/hk-censtatd-tablechart-220-19021
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    Dataset updated
    Mar 10, 2023
    Dataset provided by
    data.gov.hk
    Description

    Wage and Payroll Statistics - Table 220-19021 : Nominal Indices of Payroll per Person Engaged by industry section (Q1 1999 = 100)

  9. Denmark Nominal GDP

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Denmark Nominal GDP [Dataset]. https://www.ceicdata.com/en/indicator/denmark/nominal-gdp
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    Dataset updated
    Feb 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
    Mar 1, 2020 - Dec 1, 2022
    Area covered
    Denmark
    Description

    Key information about Denmark Nominal GDP

    • Denmark Nominal GDP reached 97.0 USD bn in Dec 2022, compared with 96.7 USD bn in the previous quarter.
    • Nominal GDP in Denmark is updated quarterly, available from Mar 1990 to Dec 2022, with an average number of 72.0 USD bn.
    • The data reached an all-time high of 101.6 USD bn in Dec 2021 and a record low of 32.3 USD bn in Mar 1990.

    CEIC converts quarterly Nominal GDP into USD. Statistics Denmark provides Nominal GDP in local currency. Federal Reserve Board average market exchange rate is used for currency conversions.


    Related information about Denmark Nominal GDP

    • In the latest reports, Denmark GDP expanded 1.5 % YoY in Dec 2022.
    • Its GDP deflator (implicit price deflator) increased 5.5 % in Dec 2022.
    • Denmark GDP Per Capita reached 66,782.7 USD in Dec 2022.
    • Its Gross Savings Rate was measured at 36.0 % in Dec 2022.
    • For Nominal GDP contributions, Investment accounted for 26.2 % in Dec 2022.
    • Public Consumption accounted for 22.6 % in Dec 2022.
    • Private Consumption accounted for 44.0 % in Dec 2022.

  10. F

    Nominal Gross Domestic Product for United States

    • fred.stlouisfed.org
    json
    Updated Jun 16, 2025
    + more versions
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    (2025). Nominal Gross Domestic Product for United States [Dataset]. https://fred.stlouisfed.org/series/NGDPNSAXDCUSQ
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    jsonAvailable download formats
    Dataset updated
    Jun 16, 2025
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Nominal Gross Domestic Product for United States (NGDPNSAXDCUSQ) from Q1 1950 to Q1 2025 about GDP and USA.

  11. Nominal GDP driven by digitally transformed and other enterprises worldwide...

    • statista.com
    Updated May 23, 2022
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    Statista (2022). Nominal GDP driven by digitally transformed and other enterprises worldwide 2018-2023 [Dataset]. https://www.statista.com/statistics/1134766/nominal-gdp-driven-by-digitally-transformed-enterprises/
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    Dataset updated
    May 23, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    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.

  12. m

    Digital Storytelling as Learning Intervention Data Result

    • data.mendeley.com
    Updated May 27, 2025
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    Mujiati Candrarini (2025). Digital Storytelling as Learning Intervention Data Result [Dataset]. http://doi.org/10.17632/2nhbbx55tn.2
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    Dataset updated
    May 27, 2025
    Authors
    Mujiati Candrarini
    License

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

    Description

    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.

  13. Monthly real vs. nominal interest rates and inflation rate for the U.S....

    • statista.com
    • ai-chatbox.pro
    Updated Jan 3, 2025
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    Statista (2025). Monthly real vs. nominal interest rates and inflation rate for the U.S. 1982-2024 [Dataset]. https://www.statista.com/statistics/1342636/real-nominal-interest-rate-us-inflation/
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    Dataset updated
    Jan 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 1982 - Nov 2024
    Area covered
    United States
    Description

    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.

  14. Jordan Nominal GDP Growth

    • ceicdata.com
    Updated Jun 15, 2020
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    CEICdata.com (2020). Jordan Nominal GDP Growth [Dataset]. https://www.ceicdata.com/en/indicator/jordan/nominal-gdp-growth
    Explore at:
    Dataset updated
    Jun 15, 2020
    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, 2021 - Sep 1, 2024
    Area covered
    Jordan
    Description

    Key information about Jordan Nominal GDP Growth

    • Jordan Nominal GDP Growth was reported at 4.600 % in Sep 2024.
    • This records an increase from the previous number of 3.975 % for Jun 2024.
    • Jordan Nominal GDP Growth data is updated quarterly, averaging 6.364 % from Mar 1993 to Sep 2024, with 127 observations.
    • The data reached an all-time high of 35.849 % in Sep 2008 and a record low of -5.102 % in Jun 2020.
    • Jordan Nominal GDP Growth data remains active status in CEIC and is reported by CEIC Data.
    • The data is categorized under World Trend Plus’s Global Economic Monitor – Table: Nominal GDP: Y-o-Y Growth: Quarterly.

    CEIC calculates quarterly Nominal GDP Growth from quarterly Nominal GDP. The Department of Statistics provides Nominal GDP in local currency based on SNA 2008. Nominal GDP Growth prior to Q1 2009 is based on SNA 1993.

  15. MARS EXPRESS MARS PFS EDR NOMINAL MISSION DATA V1.0

    • catalog.data.gov
    • data.nasa.gov
    • +1more
    Updated Apr 10, 2025
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    National Aeronautics and Space Administration (2025). MARS EXPRESS MARS PFS EDR NOMINAL MISSION DATA V1.0 [Dataset]. https://catalog.data.gov/dataset/mars-express-mars-pfs-edr-nominal-mission-data-v1-0-96939
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    Dataset updated
    Apr 10, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    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.

  16. SIA205 - Composition of Nominal Household and Equivalised Income

    • datasalsa.com
    csv, json-stat, px +1
    Updated Jun 14, 2025
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    Central Statistics Office (2025). SIA205 - Composition of Nominal Household and Equivalised Income [Dataset]. https://datasalsa.com/dataset/?catalogue=data.gov.ie&name=sia205-composition-of-nominal-household-and-equivalised-income
    Explore at:
    json-stat, xlsx, csv, pxAvailable download formats
    Dataset updated
    Jun 14, 2025
    Dataset provided by
    Central Statistics Office Irelandhttps://www.cso.ie/en/
    Authors
    Central Statistics Office
    License

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

    Time period covered
    Jun 15, 2025
    Description

    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...

  17. Wage and Payroll Statistics - Table 220-19005 : Nominal Wage Indices for...

    • data.gov.hk
    Updated Jul 25, 2024
    + more versions
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    data.gov.hk (2024). Wage and Payroll Statistics - Table 220-19005 : Nominal Wage Indices for employees up to supervisory level by occupational group (September 1992 = 100) | DATA.GOV.HK [Dataset]. https://data.gov.hk/en-data/dataset/hk-censtatd-tablechart-220-19005
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    Dataset updated
    Jul 25, 2024
    Dataset provided by
    data.gov.hk
    Description

    Wage and Payroll Statistics - Table 220-19005 : Nominal Wage Indices for employees up to supervisory level by occupational group (September 1992 = 100)

  18. Russia Nominal Wages: Period Average

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Russia Nominal Wages: Period Average [Dataset]. https://www.ceicdata.com/en/russia/nominal-real-and-minimal-wages/nominal-wages-period-average
    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
    Jan 1, 2024 - Dec 1, 2024
    Area covered
    Russia
    Variables measured
    Wage/Earnings
    Description

    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]

  19. T

    GDP NOMINAL by Country Dataset

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Oct 14, 2022
    + more versions
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    TRADING ECONOMICS (2022). GDP NOMINAL by Country Dataset [Dataset]. https://tradingeconomics.com/country-list/gdp-nominal
    Explore at:
    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Oct 14, 2022
    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
    2025
    Area covered
    World
    Description

    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.

  20. Mexico Nominal GDP Growth

    • ceicdata.com
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    CEICdata.com, Mexico Nominal GDP Growth [Dataset]. https://www.ceicdata.com/en/indicator/mexico/nominal-gdp-growth
    Explore at:
    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, 2021 - Sep 1, 2024
    Area covered
    Mexico
    Description

    Key information about Mexico Nominal GDP Growth

    • Mexico Nominal GDP Growth was reported at 6.870 % in Sep 2024.
    • This records an increase from the previous number of 6.215 % for Jun 2024.
    • Mexico Nominal GDP Growth data is updated quarterly, averaging 8.219 % from Mar 1994 to Sep 2024, with 123 observations.
    • The data reached an all-time high of 40.870 % in Mar 1996 and a record low of -17.126 % in Jun 2020.
    • Mexico Nominal GDP Growth data remains active status in CEIC and is reported by CEIC Data.
    • The data is categorized under World Trend Plus’s Global Economic Monitor – Table: Nominal GDP: Y-o-Y Growth: Quarterly: Seasonally Adjusted.

    CEIC calculates quarterly Nominal GDP Growth from quarterly de-annualized Nominal GDP. The National Institute of Statistics and Geography provides annualized Nominal GDP in local currency.

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TRADING ECONOMICS (2025). Nominal Statistical Discrepancy for United States [Dataset]. https://tradingeconomics.com/united-states/nominal-statistical-discrepancy-for-united-states-fed-data.html

Nominal Statistical Discrepancy for United States

Explore at:
excel, xml, csv, jsonAvailable download formats
Dataset updated
May 14, 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, 1976 - Dec 31, 2025
Area covered
United States
Description

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.

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