100+ datasets found
  1. Data from: Nominal Stylized Facts of United States Business Cycles

    • icpsr.umich.edu
    Updated Aug 27, 1998
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    Serletis, Apostolos; Krause, David (1998). Nominal Stylized Facts of United States Business Cycles [Dataset]. http://doi.org/10.3886/ICPSR01163.v1
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    Dataset updated
    Aug 27, 1998
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Serletis, Apostolos; Krause, David
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/1163/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/1163/terms

    Area covered
    United States
    Description

    The data reexamine the cyclical behavior of money and prices using monthly United States data.

  2. F

    Nominal Gross Domestic Product for United States

    • fred.stlouisfed.org
    json
    Updated Sep 1, 2025
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    (2025). Nominal Gross Domestic Product for United States [Dataset]. https://fred.stlouisfed.org/series/NGDPSAXDCUSQ
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    jsonAvailable download formats
    Dataset updated
    Sep 1, 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 (NGDPSAXDCUSQ) from Q1 1950 to Q2 2025 about GDP and USA.

  3. A

    Austria Services Turnover Index: Nominal

    • ceicdata.com
    Updated Aug 18, 2021
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    CEICdata.com (2021). Austria Services Turnover Index: Nominal [Dataset]. https://www.ceicdata.com/en/austria/nominal-services-turnover-index-2010100/services-turnover-index-nominal
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    Dataset updated
    Aug 18, 2021
    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
    Mar 1, 2015 - Dec 1, 2017
    Area covered
    Austria
    Variables measured
    Domestic Trade
    Description

    Austria Services Turnover Index: Nominal data was reported at 124.000 2010=100 in Dec 2017. This records an increase from the previous number of 117.100 2010=100 for Sep 2017. Austria Services Turnover Index: Nominal data is updated quarterly, averaging 108.900 2010=100 from Mar 2011 (Median) to Dec 2017, with 28 observations. The data reached an all-time high of 124.000 2010=100 in Dec 2017 and a record low of 99.400 2010=100 in Jun 2011. Austria Services Turnover Index: Nominal data remains active status in CEIC and is reported by Statistics Austria. The data is categorized under Global Database’s Austria – Table AT.H013: Nominal Services Turnover Index: 2010=100. Rebased from 2010=100 to 2015=100 Replacement series ID: 403929797

  4. F

    Nominal Statistical Discrepancy for Republic of Korea

    • fred.stlouisfed.org
    json
    Updated Jun 30, 2025
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    (2025). Nominal Statistical Discrepancy for Republic of Korea [Dataset]. https://fred.stlouisfed.org/series/NSDGDPSAXDCKRQ
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    jsonAvailable download formats
    Dataset updated
    Jun 30, 2025
    License

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

    Area covered
    South Korea
    Description

    Graph and download economic data for Nominal Statistical Discrepancy for Republic of Korea (NSDGDPSAXDCKRQ) from Q1 1960 to Q1 2025 about residual and Korea.

  5. d

    Data from project \"Recuperando a Bernis: Tutorías y actividades docentes...

    • search.dataone.org
    • produccioncientifica.usal.es
    Updated Oct 29, 2025
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    ORTEGA OSONA, JOSÉ ANTONIO (2025). Data from project \"Recuperando a Bernis: Tutorías y actividades docentes con los materiales de los Estudios Estadísticos de 1914.\" [Dataset]. http://doi.org/10.7910/DVN/EBHACD
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    Dataset updated
    Oct 29, 2025
    Dataset provided by
    Harvard Dataverse
    Authors
    ORTEGA OSONA, JOSÉ ANTONIO
    Description

    Francisco Bernis elaboró en 1914 con la colaboración de sus estudiantes de economía política en la Universidad de Salamanca los "Estudios estadísticos" donde creaba un índice ponderado de precios, otro de salarios, y una encuesta de presupuestos. En el curso 2024-25 hemos recuperado estos datos para su utilización en la docencia actual dentro del proyecto de innovación docente USAL 2024/122. In 1914, Francisco Bernis, in collaboration with his students of political economy at the University of Salamanca, developed the "Statistical Studies," which included a weighted price index, a wage index, and a budget survey. In the 2024-25 academic year, we recovered these data for use in current teaching within the Innovative Teaching Project USAL 2024/122.

  6. Wage and Payroll Statistics - Table 220-19003 : Nominal Wage Indices for...

    • data.gov.hk
    Updated Dec 22, 2023
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    data.gov.hk (2023). Wage and Payroll Statistics - Table 220-19003 : Nominal Wage Indices for employees up to supervisory level by industry section by broad occupational group (September 1992 = 100) | DATA.GOV.HK [Dataset]. https://data.gov.hk/en-data/dataset/hk-censtatd-tablechart-220-19003
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    Dataset updated
    Dec 22, 2023
    Dataset provided by
    data.gov.hk
    Description

    Wage and Payroll Statistics - Table 220-19003 : Nominal Wage Indices for employees up to supervisory level by industry section by broad occupational group (September 1992 = 100)

  7. Wage and Payroll Statistics - Table 220-19023 : Nominal Indices of Payroll...

    • data.gov.hk
    Updated Dec 25, 2023
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    data.gov.hk (2023). Wage and Payroll Statistics - Table 220-19023 : Nominal Indices of Payroll per Person Engaged by industry division (Q1 1999 = 100) [Dataset]. https://data.gov.hk/en-data/dataset/hk-censtatd-tablechart-220-19023
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    Dataset updated
    Dec 25, 2023
    Dataset provided by
    data.gov.hk
    Description

    Wage and Payroll Statistics - Table 220-19023 : Nominal Indices of Payroll per Person Engaged by industry division (Q1 1999 = 100)

  8. S

    Spain Nominal GDP

    • ceicdata.com
    Updated Apr 15, 2023
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    CEICdata.com (2023). Spain Nominal GDP [Dataset]. https://www.ceicdata.com/en/indicator/spain/nominal-gdp
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    Dataset updated
    Apr 15, 2023
    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
    Jun 1, 2020 - Mar 1, 2023
    Area covered
    Spain
    Variables measured
    Gross Domestic Product
    Description

    Key information about Spain Nominal GDP

    • Spain Nominal GDP reached 377.3 USD bn in Mar 2023, compared with 352.5 USD bn in the previous quarter.
    • Nominal GDP in Spain is updated quarterly, available from Mar 1970 to Mar 2023, with an average number of 150.1 USD bn.
    • The data reached an all-time high of 435.8 USD bn in Jun 2008 and a record low of 9.2 USD bn in Mar 1970.

    CEIC converts quarterly Nominal GDP into USD. National Statistics Institute provides Nominal GDP in EUR. Federal Reserve Board average market exchange rate is used for currency conversions. Nominal GDP prior to Q1 1995 is sourced from the International Monetary Fund.


    Related information about Spain Nominal GDP

    • In the latest reports, Spain GDP expanded 3.8 % YoY in Mar 2023.
    • Its GDP deflator (implicit price deflator) increased 6.2 % in Mar 2023.
    • Spain GDP Per Capita reached 27,002.6 USD in Dec 2020.
    • Its Gross Savings Rate was measured at 24.2 % in Dec 2022.
    • For Nominal GDP contributions, Investment accounted for 19.1 % in Mar 2023.
    • Public Consumption accounted for 19.2 % in Mar 2023.
    • Private Consumption accounted for 58.1 % in Mar 2023.

  9. U.S. minimum wage: real and nominal value 1938-2024

    • statista.com
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    Statista, U.S. minimum wage: real and nominal value 1938-2024 [Dataset]. https://www.statista.com/statistics/1065466/real-nominal-value-minimum-wage-us/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    When adjusted for inflation, the 2024 federal minimum wage in the United States is over 40 percent lower than the minimum wage in 1970. Although the real dollar minimum wage in 1970 was only 1.60 U.S. dollars, when expressed in nominal 2024 dollars this increases to 13.05 U.S. dollars. This is a significant difference from the federal minimum wage in 2024 of 7.25 U.S. dollars.

  10. Salaries and Employee Benefits Statistics - Managerial and Professional...

    • data.gov.hk
    Updated Jan 4, 2024
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    data.gov.hk (2024). Salaries and Employee Benefits Statistics - Managerial and Professional Employees (Excluding Top Management) - Table 220-25001 : Nominal Salary Indices (A) for middle-level managerial and professional employees by industry section (June 1995 = 100) | DATA.GOV.HK [Dataset]. https://data.gov.hk/en-data/dataset/hk-censtatd-tablechart-220-25001
    Explore at:
    Dataset updated
    Jan 4, 2024
    Dataset provided by
    data.gov.hk
    Description

    Salaries and Employee Benefits Statistics - Managerial and Professional Employees (Excluding Top Management) - Table 220-25001 : Nominal Salary Indices (A) for middle-level managerial and professional employees by industry section (June 1995 = 100)

  11. Changes In Average Monthly Nominal Earnings Per Employee, (Compared To The...

    • data.gov.sg
    Updated Nov 12, 2025
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    Singapore Department of Statistics (2025). Changes In Average Monthly Nominal Earnings Per Employee, (Compared To The Same Period A Year Ago), Annual [Dataset]. https://data.gov.sg/datasets/d_64f98475cef1e94300362cb400a50012/view
    Explore at:
    Dataset updated
    Nov 12, 2025
    Dataset authored and provided by
    Singapore Department of Statistics
    License

    https://data.gov.sg/open-data-licencehttps://data.gov.sg/open-data-licence

    Time period covered
    Jan 2001 - Dec 2024
    Description

    Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_64f98475cef1e94300362cb400a50012/view

  12. Average Monthly Nominal Earnings Per Employee, Annual

    • data.gov.sg
    Updated Nov 12, 2025
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    Singapore Department of Statistics (2025). Average Monthly Nominal Earnings Per Employee, Annual [Dataset]. https://data.gov.sg/datasets?sort=updatedAt&resultId=d_5d2a513a20f58239f8c449ea6c9b6ecd
    Explore at:
    Dataset updated
    Nov 12, 2025
    Dataset authored and provided by
    Singapore Department of Statistics
    License

    https://data.gov.sg/open-data-licencehttps://data.gov.sg/open-data-licence

    Time period covered
    Jan 2001 - Dec 2024
    Description

    Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_5d2a513a20f58239f8c449ea6c9b6ecd/view

  13. F

    Nominal Households Final Consumption Expenditure for United States

    • fred.stlouisfed.org
    json
    Updated Feb 12, 2024
    + more versions
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    (2024). Nominal Households Final Consumption Expenditure for United States [Dataset]. https://fred.stlouisfed.org/series/NCPHISAXDCUSQ
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Feb 12, 2024
    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 Households Final Consumption Expenditure for United States (NCPHISAXDCUSQ) from Q1 1959 to Q4 2023 about consumption expenditures, consumption, households, and USA.

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

    • statista.com
    Updated Jan 15, 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/
    Explore at:
    Dataset updated
    Jan 15, 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.

  15. J

    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
    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
    Sep 1, 2022 - Jun 1, 2025
    Area covered
    Jordan
    Description

    Key information about Jordan Nominal GDP Growth

    • Jordan Nominal GDP Growth was reported at 4.972 % in Jun 2025.
    • This records an increase from the previous number of 4.900 % for Mar 2025.
    • Jordan Nominal GDP Growth data is updated quarterly, averaging 5.051 % from Mar 1993 to Jun 2025, with 130 observations.
    • The data reached an all-time high of 35.849 % in Sep 2008 and a record low of -5.104 % 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.

  16. F

    Nominal Final Consumption Expenditure for United States

    • fred.stlouisfed.org
    json
    Updated Sep 1, 2025
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    (2025). Nominal Final Consumption Expenditure for United States [Dataset]. https://fred.stlouisfed.org/series/NCSAXDCUSQ
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 1, 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 Final Consumption Expenditure for United States (NCSAXDCUSQ) from Q1 1970 to Q2 2025 about consumption expenditures, consumption, and USA.

  17. F

    Nominal Private Sector Final Consumption Expenditure for Japan

    • fred.stlouisfed.org
    json
    Updated Jun 23, 2025
    + more versions
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    (2025). Nominal Private Sector Final Consumption Expenditure for Japan [Dataset]. https://fred.stlouisfed.org/series/NCPXDCJPA
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    jsonAvailable download formats
    Dataset updated
    Jun 23, 2025
    License

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

    Area covered
    Japan
    Description

    Graph and download economic data for Nominal Private Sector Final Consumption Expenditure for Japan (NCPXDCJPA) from 1994 to 2024 about Japan, sector, consumption expenditures, consumption, and private.

  18. F

    Nominal General Government Final Consumption Expenditure for United States

    • fred.stlouisfed.org
    json
    Updated Sep 1, 2025
    + more versions
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    (2025). Nominal General Government Final Consumption Expenditure for United States [Dataset]. https://fred.stlouisfed.org/series/NCGGSAXDCUSQ
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 1, 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 General Government Final Consumption Expenditure for United States (NCGGSAXDCUSQ) from Q1 1950 to Q2 2025 about general, consumption expenditures, consumption, government, and USA.

  19. S

    South Korea HS: UH: Income: Nominal

    • ceicdata.com
    Updated Mar 15, 2023
    + more versions
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    CEICdata.com (2023). South Korea HS: UH: Income: Nominal [Dataset]. https://www.ceicdata.com/en/korea/household-income-and-expenditure-survey-hs-urban-household-nominal/hs-uh-income-nominal
    Explore at:
    Dataset updated
    Mar 15, 2023
    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
    Jun 1, 2015 - Mar 1, 2018
    Area covered
    South Korea
    Variables measured
    Household Income and Expenditure Survey
    Description

    Korea HS: UH: Income: Nominal data was reported at 4,854,856.000 KRW in Mar 2018. This records an increase from the previous number of 4,472,246.000 KRW for Dec 2017. Korea HS: UH: Income: Nominal data is updated quarterly, averaging 2,789,028.000 KRW from Mar 1990 (Median) to Mar 2018, with 113 observations. The data reached an all-time high of 4,854,856.000 KRW in Mar 2018 and a record low of 880,499.000 KRW in Mar 1990. Korea HS: UH: Income: Nominal data remains active status in CEIC and is reported by Statistics Korea. The data is categorized under Global Database’s Korea – Table KR.H040: Household Income and Expenditure Survey (HS): Urban Household: Nominal.

  20. S

    South Korea HS: OU: Income: Nominal

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). South Korea HS: OU: Income: Nominal [Dataset]. https://www.ceicdata.com/en/korea/household-income-and-expenditure-survey-hs-other-urban-household-nominal/hs-ou-income-nominal
    Explore at:
    Dataset updated
    Feb 15, 2025
    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
    Jun 1, 2015 - Mar 1, 2018
    Area covered
    South Korea
    Variables measured
    Household Income and Expenditure Survey
    Description

    Korea HS: OU: Income: Nominal data was reported at 3,669,884.000 KRW in Mar 2018. This records a decrease from the previous number of 3,762,108.000 KRW for Dec 2017. Korea HS: OU: Income: Nominal data is updated quarterly, averaging 2,449,037.000 KRW from Mar 1990 (Median) to Mar 2018, with 113 observations. The data reached an all-time high of 3,762,108.000 KRW in Dec 2017 and a record low of 860,860.000 KRW in Mar 1990. Korea HS: OU: Income: Nominal data remains active status in CEIC and is reported by Statistics Korea. The data is categorized under Global Database’s Korea – Table KR.H056: Household Income and Expenditure Survey (HS): Other Urban Household: Nominal.

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Serletis, Apostolos; Krause, David (1998). Nominal Stylized Facts of United States Business Cycles [Dataset]. http://doi.org/10.3886/ICPSR01163.v1
Organization logo

Data from: Nominal Stylized Facts of United States Business Cycles

Related Article
Explore at:
Dataset updated
Aug 27, 1998
Dataset provided by
Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
Authors
Serletis, Apostolos; Krause, David
License

https://www.icpsr.umich.edu/web/ICPSR/studies/1163/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/1163/terms

Area covered
United States
Description

The data reexamine the cyclical behavior of money and prices using monthly United States data.

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