100+ datasets found
  1. United States US: GDP: Growth: Gross Value Added: Services

    • ceicdata.com
    Updated Dec 15, 2010
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    CEICdata.com (2010). United States US: GDP: Growth: Gross Value Added: Services [Dataset]. https://www.ceicdata.com/en/united-states/gross-domestic-product-annual-growth-rate/us-gdp-growth-gross-value-added-services
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    Dataset updated
    Dec 15, 2010
    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, 2004 - Dec 1, 2015
    Area covered
    United States
    Variables measured
    Gross Domestic Product
    Description

    United States US: GDP: Growth: Gross Value Added: Services data was reported at 2.621 % in 2015. This records an increase from the previous number of 2.221 % for 2014. United States US: GDP: Growth: Gross Value Added: Services data is updated yearly, averaging 2.335 % from Dec 1998 (Median) to 2015, with 18 observations. The data reached an all-time high of 4.456 % in 1999 and a record low of -1.772 % in 2009. United States US: GDP: Growth: Gross Value Added: Services data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Gross Domestic Product: Annual Growth Rate. Annual growth rate for value added in services based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. Services correspond to ISIC divisions 50-99. They include value added in wholesale and retail trade (including hotels and restaurants), transport, and government, financial, professional, and personal services such as education, health care, and real estate services. Also included are imputed bank service charges, import duties, and any statistical discrepancies noted by national compilers as well as discrepancies arising from rescaling. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The industrial origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted Average; Note: Data for OECD countries are based on ISIC, revision 4.

  2. T

    Economic Policy Uncertainty : News-Based for the United States

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Apr 29, 2025
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    TRADING ECONOMICS (2025). Economic Policy Uncertainty : News-Based for the United States [Dataset]. https://tradingeconomics.com/united-states/economic-policy-uncertainty-index-news-based-index-for-the-united-states-fed-data.html
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    csv, json, xml, excelAvailable download formats
    Dataset updated
    Apr 29, 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

    Economic Policy Uncertainty : News-Based for the United States was 715.59055 Index in April of 2025, according to the United States Federal Reserve. Historically, Economic Policy Uncertainty : News-Based for the United States reached a record high of 715.59055 in April of 2025 and a record low of 44.78275 in July of 2007. Trading Economics provides the current actual value, an historical data chart and related indicators for Economic Policy Uncertainty : News-Based for the United States - last updated from the United States Federal Reserve on May of 2025.

  3. m

    Data from: Research Document: Jaouad Karfali Economic Cycle Analysis with...

    • data.mendeley.com
    Updated Feb 26, 2025
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    Karfali Jaouad (2025). Research Document: Jaouad Karfali Economic Cycle Analysis with Numerical Time Cycles [Dataset]. http://doi.org/10.17632/wv7dcm5834.1
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    Dataset updated
    Feb 26, 2025
    Authors
    Karfali Jaouad
    License

    Attribution-NonCommercial 3.0 (CC BY-NC 3.0)https://creativecommons.org/licenses/by-nc/3.0/
    License information was derived automatically

    Description

    Description: This dataset contains historical economic data spanning from 1871 to 2024, used in Jaouad Karfali’s research on Economic Cycle Analysis with Numerical Time Cycles. The study aims to improve economic forecasting accuracy through the 9-year cycle model, which demonstrates superior predictive capabilities compared to traditional economic indicators.

    Dataset Contents: The dataset includes a comprehensive range of economic indicators used in the research, such as:

    USGDP_1871-2024.csv – U.S. Gross Domestic Product (GDP) data. USCPI_cleaned.csv – U.S. Consumer Price Index (CPI), cleaned and processed. USWAGE_1871-2024.csv – U.S. average wages data. EXCHANGEGLOBAL_cleaned.csv – Global exchange rates for the U.S. dollar. EXCHANGEPOUND_cleaned.csv – U.S. dollar to British pound exchange rates. INTERESTRATE_1871-2024.csv – U.S. interest rate data. UNRATE.csv – U.S. unemployment rate statistics. POPTOTUSA647NWDB.csv – U.S. total population data. Significance of the Data: This dataset serves as a foundation for a robust economic analysis of the U.S. economy over multiple decades. It was instrumental in testing the 9-year economic cycle model, which demonstrated an 85% accuracy rate in economic forecasting when compared to traditional models such as ARIMA and VAR.

    Applications:

    Economic Forecasting: Predicts a 1.5% decline in GDP in 2025, followed by a gradual recovery between 2026-2034. Economic Stability Analysis: Used for comparing forecasts with estimates from institutions like the IMF and World Bank. Academic and Institutional Research: Supports studies in economic cycles and long-term forecasting. Source & Further Information: For more details on the methodology and research findings, refer to the full paper published on SSRN:

    https://ssrn.com/author=7429208 https://orcid.org/0009-0002-9626-7289

    • Jaouad Karfali
  4. d

    Data release for Integrating physical and economic data into experimental...

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Data release for Integrating physical and economic data into experimental water accounts for the United States: lessons and opportunities [Dataset]. https://catalog.data.gov/dataset/data-release-for-integrating-physical-and-economic-data-into-experimental-water-accounts-f
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    United States
    Description

    Water provides society with economic benefits that increasingly involve tradeoffs, making accounting for water quality, quantity, and their corresponding economic productivity more relevant in our interconnected world. In the past, physical and economic data about water have been fragmented, but integration is becoming more widely adopted internationally through application of the System of Environmental-Economic Accounts for Water (SEEA-Water), which enables the tracking of linkages between water and the economy over time and across scales. In this paper, we present the first national and subnational SEEA-Water accounts for the United States. We compile accounts for: (1) physical supply and use of water, (2) water productivity, (3) water quality, and (4) water emissions. These cover state and national levels for roughly the years 2000 to 2015. The results illustrate broad aggregate trends as well as subnational or industry-level phenomena. Specifically, the accounts show that total U.S. water use declined by 22% from 2000 to 2015, continuing a national trend seen since 1980. Total water use fell in 44 states, though groundwater use increased in 21 states. Nationally, a larger percent of water use comes from groundwater than at any time since 1950. Reductions in water use, combined with economic growth, lead to increases in water productivity for the entire national economy (65%), mining (99%), and agriculture (68%), though substantial variation occurred among states. Surface-water quality trends for the years 2002 to 2012 were most evident at regional levels, and differ by water-quality constituent and region. Chloride, nitrate, and total dissolved solids levels in groundwater had more consistent and widespread water-quality declines nationally. This work provides a baseline of recent historical water resource trends and their value in the U.S., as well as roadmap for the completion of future accounts for water, a critical ecosystem service. Our work also aids in the interpretation of ecosystem accounts in the context of long-term trends in U.S. water resources.

  5. United States GFCF: saar: Financial Business

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States GFCF: saar: Financial Business [Dataset]. https://www.ceicdata.com/en/united-states/integrated-macroeconomic-accounts-total-economy-and-sectors-selected-aggregates/gfcf-saar-financial-business
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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, 2015 - Dec 1, 2017
    Area covered
    United States
    Variables measured
    Flow of Fund Account
    Description

    United States GFCF: saar: Financial Business data was reported at 264.719 USD bn in Mar 2018. This records an increase from the previous number of 259.972 USD bn for Dec 2017. United States GFCF: saar: Financial Business data is updated quarterly, averaging 61.105 USD bn from Dec 1951 (Median) to Mar 2018, with 266 observations. The data reached an all-time high of 264.719 USD bn in Mar 2018 and a record low of 0.871 USD bn in Sep 1952. United States GFCF: saar: Financial Business data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s USA – Table US.AB074: Integrated Macroeconomic Accounts: Total Economy and Sectors: Selected Aggregates.

  6. United States NLB: saar: Capital Account: Addendum: Rest of the World

    • ceicdata.com
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    CEICdata.com, United States NLB: saar: Capital Account: Addendum: Rest of the World [Dataset]. https://www.ceicdata.com/en/united-states/integrated-macroeconomic-accounts-total-economy-and-sectors-selected-aggregates/nlb-saar-capital-account-addendum-rest-of-the-world
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    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, 2014 - Sep 1, 2017
    Area covered
    United States
    Variables measured
    Flow of Fund Account
    Description

    United States NLB: saar: Capital Account: Addendum: Rest of the World data was reported at 569.211 USD bn in Mar 2018. This records an increase from the previous number of 524.026 USD bn for Dec 2017. United States NLB: saar: Capital Account: Addendum: Rest of the World data is updated quarterly, averaging 43.283 USD bn from Dec 1951 (Median) to Mar 2018, with 266 observations. The data reached an all-time high of 859.012 USD bn in Sep 2006 and a record low of -42.129 USD bn in Mar 1991. United States NLB: saar: Capital Account: Addendum: Rest of the World data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s USA – Table US.AB074: Integrated Macroeconomic Accounts: Total Economy and Sectors: Selected Aggregates.

  7. o

    Replication data for: How to Restore Equitable and Sustainable Economic...

    • openicpsr.org
    Updated May 1, 2016
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    Joseph E. Stiglitz (2016). Replication data for: How to Restore Equitable and Sustainable Economic Growth in the United States [Dataset]. http://doi.org/10.3886/E113431V1
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    Dataset updated
    May 1, 2016
    Dataset provided by
    American Economic Association
    Authors
    Joseph E. Stiglitz
    Area covered
    United States
    Description

    Today's weakness in the US economy results from lack of aggregate demand, due to high and growing inequality, underinvestment in public infrastructure and technology that is complementary to private capital, continuing mild austerity, difficulties encountered in making the structural transformation from manufacturing to a service-based economy, and a financial sector failing to provide adequate funds to SMEs. An agenda to restore growth includes a carbon price, inducing climate investments; increased public investments in infrastructure and technology; fighting inequality through redistribution and rewriting the rules structuring the economy; and reforming the financial sector and the global reserve system.

  8. T

    United States - Gross domestic product: Imputations

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Feb 9, 2020
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    TRADING ECONOMICS (2020). United States - Gross domestic product: Imputations [Dataset]. https://tradingeconomics.com/united-states/gross-domestic-product-imputations-fed-data.html
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    json, xml, excel, csvAvailable download formats
    Dataset updated
    Feb 9, 2020
    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

    United States - Gross domestic product: Imputations was 3726.90400 Bil. of $ in January of 2022, according to the United States Federal Reserve. Historically, United States - Gross domestic product: Imputations reached a record high of 3726.90400 in January of 2022 and a record low of 6.89400 in January of 1933. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Gross domestic product: Imputations - last updated from the United States Federal Reserve on July of 2025.

  9. United States US: Broad Money: Average Annual Growth Rate

    • ceicdata.com
    Updated Apr 21, 2011
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    CEICdata.com (2011). United States US: Broad Money: Average Annual Growth Rate [Dataset]. https://www.ceicdata.com/en/united-states/money-supply/us-broad-money-average-annual-growth-rate
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    Dataset updated
    Apr 21, 2011
    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
    United States
    Variables measured
    Monetary Aggregates/Money Supply/Money Stock
    Description

    United States US: Broad Money: Average Annual Growth Rate data was reported at 3.760 % in 2016. This records an increase from the previous number of 3.408 % for 2015. United States US: Broad Money: Average Annual Growth Rate data is updated yearly, averaging 8.143 % from Dec 1961 (Median) to 2016, with 56 observations. The data reached an all-time high of 13.955 % in 1971 and a record low of -2.741 % in 2010. United States US: Broad Money: Average Annual Growth Rate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Money Supply. Broad money (IFS line 35L..ZK) is the sum of currency outside banks; demand deposits other than those of the central government; the time, savings, and foreign currency deposits of resident sectors other than the central government; bank and traveler’s checks; and other securities such as certificates of deposit and commercial paper.; ; International Monetary Fund, International Financial Statistics and data files.; ;

  10. F

    Shares of gross domestic product: Exports of goods

    • fred.stlouisfed.org
    json
    Updated May 29, 2025
    + more versions
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    (2025). Shares of gross domestic product: Exports of goods [Dataset]. https://fred.stlouisfed.org/series/A253RE1Q156NBEA
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    jsonAvailable download formats
    Dataset updated
    May 29, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Shares of gross domestic product: Exports of goods (A253RE1Q156NBEA) from Q1 1947 to Q1 2025 about Shares of GDP, exports, goods, GDP, and USA.

  11. United States US: GDP: USD: Gross National Income

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com, United States US: GDP: USD: Gross National Income [Dataset]. https://www.ceicdata.com/en/united-states/gross-domestic-product-nominal/us-gdp-usd-gross-national-income
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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
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    United States
    Variables measured
    Gross Domestic Product
    Description

    United States US: GDP: USD: Gross National Income data was reported at 19,607.598 USD bn in 2017. This records an increase from the previous number of 18,968.714 USD bn for 2016. United States US: GDP: USD: Gross National Income data is updated yearly, averaging 5,447.032 USD bn from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 19,607.598 USD bn in 2017 and a record low of 546.400 USD bn in 1960. United States US: GDP: USD: Gross National Income data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Gross Domestic Product: Nominal. GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data are in current U.S. dollars.; ; World Bank national accounts data, and OECD National Accounts data files.; Gap-filled total;

  12. United States Fed Govt Outlays: Mandatory & Net Interest (MI): as % of GDP

    • ceicdata.com
    + more versions
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    CEICdata.com, United States Fed Govt Outlays: Mandatory & Net Interest (MI): as % of GDP [Dataset]. https://www.ceicdata.com/en/united-states/federal-government-receipts-and-outlays-annual/fed-govt-outlays-mandatory--net-interest-mi-as--of-gdp
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    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
    Sep 1, 2012 - Sep 1, 2023
    Area covered
    United States
    Variables measured
    Government Budget
    Description

    United States Fed Govt Outlays: Mandatory & Net Interest (MI): as % of GDP data was reported at 16.400 % in 2023. This records a decrease from the previous number of 18.200 % for 2022. United States Fed Govt Outlays: Mandatory & Net Interest (MI): as % of GDP data is updated yearly, averaging 11.950 % from Sep 1962 (Median) to 2023, with 62 observations. The data reached an all-time high of 23.100 % in 2020 and a record low of 5.700 % in 1966. United States Fed Govt Outlays: Mandatory & Net Interest (MI): as % of GDP data remains active status in CEIC and is reported by Office of Management and Budget. The data is categorized under Global Database’s United States – Table US.F006: Federal Government Receipts and Outlays: Annual.

  13. United States SB: MN: Finance: PC: Increased

    • ceicdata.com
    Updated Mar 15, 2023
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    CEICdata.com (2023). United States SB: MN: Finance: PC: Increased [Dataset]. https://www.ceicdata.com/en/united-states/small-business-pulse-survey-by-state-midwest-region/sb-mn-finance-pc-increased
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    Dataset updated
    Mar 15, 2023
    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
    Feb 14, 2022 - Apr 11, 2022
    Area covered
    United States
    Description

    United States SB: MN: Finance: PC: Increased data was reported at 3.600 % in 11 Apr 2022. This records a decrease from the previous number of 4.900 % for 04 Apr 2022. United States SB: MN: Finance: PC: Increased data is updated weekly, averaging 4.900 % from Feb 2022 (Median) to 11 Apr 2022, with 9 observations. The data reached an all-time high of 6.700 % in 14 Feb 2022 and a record low of 3.600 % in 11 Apr 2022. United States SB: MN: Finance: PC: Increased data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S047: Small Business Pulse Survey: by State: Midwest Region: Weekly, Beg Monday (Discontinued).

  14. United States SB: RI: Outlook: Business Practices (BP): Adopted/Exp Use of...

    • ceicdata.com
    Updated Apr 11, 2022
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    CEICdata.com (2022). United States SB: RI: Outlook: Business Practices (BP): Adopted/Exp Use of Tech [Dataset]. https://www.ceicdata.com/en/united-states/small-business-pulse-survey-by-state-northeast-region/sb-ri-outlook-business-practices-bp-adoptedexp-use-of-tech
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    Dataset updated
    Apr 11, 2022
    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
    Feb 14, 2022 - Apr 11, 2022
    Area covered
    United States
    Description

    United States SB: RI: Outlook: Business Practices (BP): Adopted/Exp Use of Tech data was reported at 12.700 % in 11 Apr 2022. This records a decrease from the previous number of 13.700 % for 04 Apr 2022. United States SB: RI: Outlook: Business Practices (BP): Adopted/Exp Use of Tech data is updated weekly, averaging 15.500 % from Feb 2022 (Median) to 11 Apr 2022, with 7 observations. The data reached an all-time high of 17.700 % in 28 Feb 2022 and a record low of 12.700 % in 11 Apr 2022. United States SB: RI: Outlook: Business Practices (BP): Adopted/Exp Use of Tech data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S049: Small Business Pulse Survey: by State: Northeast Region: Weekly, Beg Monday (Discontinued).

  15. U

    United States SBP: RE: Back to Usual Operations: 4-6 Mos

    • ceicdata.com
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    CEICdata.com, United States SBP: RE: Back to Usual Operations: 4-6 Mos [Dataset]. https://www.ceicdata.com/en/united-states/small-business-pulse-survey-by-sector-weekly-beg-sunday/sbp-re-back-to-usual-operations-46-mos
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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
    Sep 27, 2020 - Aug 22, 2021
    Area covered
    United States
    Variables measured
    Enterprises Survey
    Description

    United States SBP: RE: Back to Usual Operations: 4-6 Mos data was reported at 12.500 % in 04 Oct 2020. This records a decrease from the previous number of 14.800 % for 27 Sep 2020. United States SBP: RE: Back to Usual Operations: 4-6 Mos data is updated weekly, averaging 18.000 % from Apr 2020 to 04 Oct 2020, with 18 observations. The data reached an all-time high of 29.600 % in 03 May 2020 and a record low of 10.800 % in 20 Sep 2020. United States SBP: RE: Back to Usual Operations: 4-6 Mos data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S023: Small Business Pulse Survey: by Sector: Weekly, Beg Sunday (Discontinued).

  16. United States SBP: AF: Back to Usual Operations: >6 Mos

    • ceicdata.com
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    CEICdata.com, United States SBP: AF: Back to Usual Operations: >6 Mos [Dataset]. https://www.ceicdata.com/en/united-states/small-business-pulse-survey-by-sector-weekly-beg-sunday/sbp-af-back-to-usual-operations-6-mos
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    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
    Sep 27, 2020 - Aug 22, 2021
    Area covered
    United States
    Variables measured
    Enterprises Survey
    Description

    United States SBP: Back to Usual Operations: >6 Mos data was reported at 62.600 % in 04 Oct 2020. This records an increase from the previous number of 61.600 % for 27 Sep 2020. United States SBP: Back to Usual Operations: >6 Mos data is updated weekly, averaging 59.200 % from Apr 2020 (Median) to 04 Oct 2020, with 18 observations. The data reached an all-time high of 65.500 % in 13 Sep 2020 and a record low of 44.800 % in 26 Apr 2020. United States SBP: Back to Usual Operations: >6 Mos data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S046: Small Business Pulse Survey: by Sector: Weekly, Beg Sunday (Discontinued).

  17. United States The Economist YouGov Polls: 2024 Presidential Election: Donald...

    • ceicdata.com
    Updated Dec 15, 2024
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    CEICdata.com (2024). United States The Economist YouGov Polls: 2024 Presidential Election: Donald Trump [Dataset]. https://www.ceicdata.com/en/united-states/the-economist-yougov-polls-2024-presidential-election/the-economist-yougov-polls-2024-presidential-election-donald-trump
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    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
    Aug 13, 2024 - Oct 29, 2024
    Area covered
    United States
    Description

    United States The Economist YouGov Polls: 2024 Presidential Election: Donald Trump data was reported at 46.000 % in 29 Oct 2024. This stayed constant from the previous number of 46.000 % for 22 Oct 2024. United States The Economist YouGov Polls: 2024 Presidential Election: Donald Trump data is updated weekly, averaging 43.000 % from May 2023 (Median) to 29 Oct 2024, with 61 observations. The data reached an all-time high of 46.000 % in 29 Oct 2024 and a record low of 38.000 % in 31 Oct 2023. United States The Economist YouGov Polls: 2024 Presidential Election: Donald Trump data remains active status in CEIC and is reported by YouGov PLC. The data is categorized under Global Database’s United States – Table US.PR004: The Economist YouGov Polls: 2024 Presidential Election (Discontinued). If an election for president were going to be held now and the Democratic nominee was Joe Biden and the Republican nominee was Donald Trump, would you vote for...

  18. United States Avg Days on Market: All Residential: Hilo, HI

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    CEICdata.com, United States Avg Days on Market: All Residential: Hilo, HI [Dataset]. https://www.ceicdata.com/en/united-states/average-days-on-market-by-metropolitan-areas/avg-days-on-market-all-residential-hilo-hi
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    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
    Aug 1, 2019 - Jul 1, 2020
    Area covered
    United States
    Description

    United States Avg Days on Market: All Residential: Hilo, HI data was reported at 119.000 Day in Jul 2020. This records an increase from the previous number of 115.000 Day for Jun 2020. United States Avg Days on Market: All Residential: Hilo, HI data is updated monthly, averaging 175.500 Day from Feb 2012 (Median) to Jul 2020, with 102 observations. The data reached an all-time high of 370.000 Day in Feb 2012 and a record low of 99.000 Day in Jan 2020. United States Avg Days on Market: All Residential: Hilo, HI data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB006: Average Days on Market: by Metropolitan Areas.

  19. United States SBP: MA: Business Didn't Close for 1 Day

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    CEICdata.com, United States SBP: MA: Business Didn't Close for 1 Day [Dataset]. https://www.ceicdata.com/en/united-states/small-business-pulse-survey-by-state-northeast/sbp-ma-business-didnt-close-for-1-day
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    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 17, 2020 - Sep 20, 2020
    Area covered
    United States
    Variables measured
    Enterprises Survey
    Description

    United States SBP: MA: Business Didn't Close for 1 Day data was reported at 29.900 % in 20 Sep 2020. This records an increase from the previous number of 26.700 % for 13 Sep 2020. United States SBP: MA: Business Didn't Close for 1 Day data is updated weekly, averaging 53.900 % from Apr 2020 (Median) to 20 Sep 2020, with 15 observations. The data reached an all-time high of 76.300 % in 07 Jun 2020 and a record low of 26.700 % in 13 Sep 2020. United States SBP: MA: Business Didn't Close for 1 Day data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S050: Small Business Pulse Survey: by State: Northeast Region: Weekly, Beg Sunday (Discontinued).

  20. United States SB: NH: CS: Prices Paid: Large Increase

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    Updated Apr 23, 2022
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    CEICdata.com (2022). United States SB: NH: CS: Prices Paid: Large Increase [Dataset]. https://www.ceicdata.com/en/united-states/small-business-pulse-survey-by-state-northeast-region/sb-nh-cs-prices-paid-large-increase
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    Dataset updated
    Apr 23, 2022
    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
    Feb 14, 2022 - Apr 11, 2022
    Area covered
    United States
    Description

    United States SB: NH: CS: Prices Paid: Large Increase data was reported at 45.500 % in 11 Apr 2022. This records an increase from the previous number of 38.900 % for 04 Apr 2022. United States SB: NH: CS: Prices Paid: Large Increase data is updated weekly, averaging 42.800 % from Feb 2022 (Median) to 11 Apr 2022, with 9 observations. The data reached an all-time high of 47.400 % in 28 Mar 2022 and a record low of 28.100 % in 21 Feb 2022. United States SB: NH: CS: Prices Paid: Large Increase data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S049: Small Business Pulse Survey: by State: Northeast Region: Weekly, Beg Monday (Discontinued).

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CEICdata.com (2010). United States US: GDP: Growth: Gross Value Added: Services [Dataset]. https://www.ceicdata.com/en/united-states/gross-domestic-product-annual-growth-rate/us-gdp-growth-gross-value-added-services
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United States US: GDP: Growth: Gross Value Added: Services

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Dataset updated
Dec 15, 2010
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, 2004 - Dec 1, 2015
Area covered
United States
Variables measured
Gross Domestic Product
Description

United States US: GDP: Growth: Gross Value Added: Services data was reported at 2.621 % in 2015. This records an increase from the previous number of 2.221 % for 2014. United States US: GDP: Growth: Gross Value Added: Services data is updated yearly, averaging 2.335 % from Dec 1998 (Median) to 2015, with 18 observations. The data reached an all-time high of 4.456 % in 1999 and a record low of -1.772 % in 2009. United States US: GDP: Growth: Gross Value Added: Services data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Gross Domestic Product: Annual Growth Rate. Annual growth rate for value added in services based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. Services correspond to ISIC divisions 50-99. They include value added in wholesale and retail trade (including hotels and restaurants), transport, and government, financial, professional, and personal services such as education, health care, and real estate services. Also included are imputed bank service charges, import duties, and any statistical discrepancies noted by national compilers as well as discrepancies arising from rescaling. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The industrial origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted Average; Note: Data for OECD countries are based on ISIC, revision 4.

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