100+ datasets found
  1. M

    Data from: U.S. GDP

    • macrotrends.net
    csv
    Updated May 31, 2025
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    MACROTRENDS (2025). U.S. GDP [Dataset]. https://www.macrotrends.net/global-metrics/countries/usa/united-states/gdp-gross-domestic-product
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    csvAvailable download formats
    Dataset updated
    May 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Area covered
    United States
    Description
    U.S. GDP for 2023 was 27.721 trillion US dollars, a 6.59% increase from 2022.
    <ul style='margin-top:20px;'>
    
    <li>U.S. GDP for 2022 was <strong>26.007 trillion US dollars</strong>, a <strong>9.82% increase</strong> from 2021.</li>
    <li>U.S. GDP for 2021 was <strong>23.681 trillion US dollars</strong>, a <strong>10.9% increase</strong> from 2020.</li>
    <li>U.S. GDP for 2020 was <strong>21.354 trillion US dollars</strong>, a <strong>0.86% decline</strong> from 2019.</li>
    </ul>GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.
    
  2. F

    Longer Run FOMC Summary of Economic Projections for the Growth Rate of Real...

    • fred.stlouisfed.org
    json
    Updated Jun 18, 2025
    + more versions
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    (2025). Longer Run FOMC Summary of Economic Projections for the Growth Rate of Real Gross Domestic Product, Median [Dataset]. https://fred.stlouisfed.org/series/GDPC1MDLR
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    jsonAvailable download formats
    Dataset updated
    Jun 18, 2025
    License

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

    Description

    Graph and download economic data for Longer Run FOMC Summary of Economic Projections for the Growth Rate of Real Gross Domestic Product, Median (GDPC1MDLR) from 2015-06-17 to 2025-06-18 about projection, median, real, GDP, rate, and USA.

  3. F

    Shares of gross domestic product: Personal consumption expenditures

    • fred.stlouisfed.org
    json
    Updated Jun 26, 2025
    + more versions
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    (2025). Shares of gross domestic product: Personal consumption expenditures [Dataset]. https://fred.stlouisfed.org/series/DPCERE1Q156NBEA
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    jsonAvailable download formats
    Dataset updated
    Jun 26, 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: Personal consumption expenditures (DPCERE1Q156NBEA) from Q1 1947 to Q1 2025 about Shares of GDP, PCE, consumption expenditures, consumption, personal, GDP, and USA.

  4. PIIE dataset for PIIE PB 24-14, The rise of US economic sanctions on China:...

    • piie.com
    Updated Dec 4, 2024
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    Martin Chorzempa; Mary E. Lovely; Yuting (Christine) Wan (2024). PIIE dataset for PIIE PB 24-14, The rise of US economic sanctions on China: Analysis of a new PIIE dataset by Martin Chorzempa, Mary E. Lovely, and Christine Wan (2024). [Dataset]. https://www.piie.com/publications/policy-briefs/2024/rise-us-economic-sanctions-china-analysis-new-piie-dataset
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    Dataset updated
    Dec 4, 2024
    Dataset provided by
    Peterson Institute for International Economicshttp://www.piie.com/
    Authors
    Martin Chorzempa; Mary E. Lovely; Yuting (Christine) Wan
    Area covered
    China
    Description

    This data package includes the PIIE dataset to replicate the data and charts presented in The rise of US economic sanctions on China: Analysis of a new PIIE dataset by Martin Chorzempa, Mary E. Lovely, and Christine Wan, PIIE Policy Brief 24-14.

    If you use the dataset, please cite as: Chorzempa, Martin, Mary E. Lovely, and Christine Wan. 2024. The rise of US economic sanctions on China: Analysis of a new PIIE dataset, PIIE Policy Brief 24-14. Washington, DC: Peterson Institute for International Economics.

  5. Time Series Economic Indicators Time Series -: Advance Report on Durable...

    • catalog.data.gov
    Updated Jul 19, 2023
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    U.S. Census Bureau (2023). Time Series Economic Indicators Time Series -: Advance Report on Durable Goods Manufacturers' Shipments, Inventories, and Orders [Dataset]. https://catalog.data.gov/dataset/time-series-economic-indicators-time-series-advance-report-on-durable-goods-manufacturers-
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    Dataset updated
    Jul 19, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    The U.S. Census Bureau.s economic indicator surveys provide monthly and quarterly data that are timely, reliable, and offer comprehensive measures of the U.S. economy. These surveys produce a variety of statistics covering construction, housing, international trade, retail trade, wholesale trade, services and manufacturing. The survey data provide measures of economic activity that allow analysis of economic performance and inform business investment and policy decisions. Other data included, which are not considered principal economic indicators, are the Quarterly Summary of State & Local Taxes, Quarterly Survey of Public Pensions, and the Manufactured Homes Survey. For information on the reliability and use of the data, including important notes on estimation and sampling variance, seasonal adjustment, measures of sampling variability, and other information pertinent to the economic indicators, visit the individual programs' webpages - http://www.census.gov/cgi-bin/briefroom/BriefRm.

  6. T

    United States GDP

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, United States GDP [Dataset]. https://tradingeconomics.com/united-states/gdp
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    xml, excel, json, csvAvailable download formats
    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
    Dec 31, 1960 - Dec 31, 2023
    Area covered
    United States
    Description

    The Gross Domestic Product (GDP) in the United States was worth 27720.71 billion US dollars in 2023, according to official data from the World Bank. The GDP value of the United States represents 26.29 percent of the world economy. This dataset provides - United States GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  7. F

    Shares of gross domestic product: Exports of goods

    • fred.stlouisfed.org
    json
    Updated May 29, 2025
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    (2025). Shares of gross domestic product: Exports of goods [Dataset]. https://fred.stlouisfed.org/series/A253RE1Q156NBEA
    Explore at:
    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.

  8. 2017 Economic Census: EC1761BASIC | Educational Services: Summary Statistics...

    • data.census.gov
    Updated Apr 21, 2016
    + more versions
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    ECN (2016). 2017 Economic Census: EC1761BASIC | Educational Services: Summary Statistics for the U.S., States, and Selected Geographies: 2017 (ECN Core Statistics Summary Statistics for the U.S., States, and Selected Geographies: 2017) [Dataset]. https://data.census.gov/table/ECNBASIC2017.EC1761BASIC?q=Barber+Daren+Law+Offices+Of
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    Dataset updated
    Apr 21, 2016
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ECN
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    2017
    Area covered
    United States
    Description

    Release Date: 2020-06-09.Release Schedule:.The data in this file come from the 2017 Economic Census data files released on a flow basis starting in September 2019. As such, preliminary U.S. totals released in September 2019 will be superseded with final totals, by sector, once data for all states have been released. Users should be aware that during the release of this consolidated file, data at more detailed North American Industry Classification System (NAICS) and geographic levels may not add to higher-level totals. However, at the completion of the economic census (once all the component files have been released), the detailed data in this file will add to the totals. For more information about economic census planned data product releases, see Economic Census: About: 2017 Release Schedules...Key Table Information:.U.S. totals released in September 2019 will be superseded with final totals, by sector, once data for all states have been released..Includes only establishments and firms with payroll..Data may be subject to employment- and/or sales-size minimums that vary by industry...Data Items and Other Identifying Records: .Number of firms.Number of establishments.Sales, value of shipments, or revenue ($1,000).Annual payroll ($1,000).First-quarter payroll ($1,000).Number of employees.Operating expenses ($1,000).Range indicating percent of total sales, value of shipments, or revenue imputed.Range indicating percent of total annual payroll imputed.Range indicating percent of total employees imputed..Data are published by Tax Status (All establishments, Establishments subject to federal income tax, and Establishments exempt from federal income tax)...Geography Coverage:.The data are shown for employer establishments and firms at the U.S., State, Combined Statistical Area, Metropolitan and Micropolitan Statistical Area, Metropolitan Division, Consolidated City, County (and equivalent), and Economic Place (and equivalent; incorporated and unincorporated) levels that vary by industry. For information about economic census geographies, including changes for 2017, see Economic Census: Economic Geographies...Industry Coverage:.The data are shown at the 2- through 6-digit 2017 NAICS code levels. For information about NAICS, see Economic Census: Technical Documentation: Code Lists...Footnotes:.Not applicable...FTP Download:.Download the entire table at: https://www2.census.gov/programs-surveys/economic-census/data/2017/sector61/EC1761BASIC.zip..API Information:.Economic census data are housed in the Census Bureau API. For more information, see Explore Data: Developers: Available APIs: Economic Census..Methodology:.To maintain confidentiality, the U.S. Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain sampling and/or nonsampling error. Data users who create their own estimates using data from this file should cite the U.S. Census Bureau as the source of the original data only...To comply with disclosure avoidance guidelines, data rows with fewer than three contributing establishments are not presented. Additionally, establishment counts are suppressed when other select statistics in the same row are suppressed. For detailed information about the methods used to collect and produce statistics, including sampling, eligibility, questions, data collection and processing, data quality, review, weighting, estimation, coding operations, confidentiality protection, sampling error, nonsampling error, and more, see Economic Census: Technical Documentation: Methodology...Symbols:.D - Withheld to avoid disclosing data for individual companies; data are included in higher level totals.N - Not available or not comparable.S - Estimate does not meet publication standards because of high sampling variability, poor response quality, or other concerns about the estimate quality. Unpublished estimates derived from this table by subtraction are subject to these same limitations and should not be attributed to the U.S. Census Bureau. For a description of publication standards and the total quantity response rate, see link to program methodology page..X - Not applicable.A - Relative standard error of 100% or more.r - Revised.s - Relative standard error exceeds 40%.For a complete list of symbols, see Economic Census: Technical Documentation: Data Dictionary.. .Source:.U.S. Census Bureau, 2017 Economic Census.For information about the economic census, see Business and Economy: Economic Census...Contact Information:.U.S. Census Bureau.For general inquiries:. (800) 242-2184/ (301) 763-5154. ewd.outreach@census.gov.For specific data questions:. (800) 541-8345.For additional contacts, see Economic Census: About: Contact Us.

  9. g

    Economic Summaries (2005-2009) | gimi9.com

    • gimi9.com
    Updated Jul 20, 2013
    + more versions
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    (2013). Economic Summaries (2005-2009) | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_economic-summaries-2005-2009/
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    Dataset updated
    Jul 20, 2013
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    The American Community Survey (ACS) is a nationwide survey conducted by the U.S. Census Bureau that is designed to provide communities a fresh look at how they are changing. It is a critical element in the Census Bureau's reengineered decennial census program, incorporating the detailed socioeconomic and housing questions that were previously asked on the decennial census long form into the ACS questionnaire. The ACS now collects and produces this detailed population and housing information every year instead of every ten years. Data are collected on an on-going basis throughout the year and are released each year for large geographic areas, those with 65,000 persons or more. However, sample sizes are not large enough for annual releases that cover smaller areas, those with less than 65,000 persons. Data that are suitable for areas with 20,000 to 65,000 persons are accumulated over three years and termed a three-year period estimate, the first of which was for the 2005-2007 period. Data that are suitable for areas with less than 20,000 persons are accumulated over five years and termed a five-year period estimate, the first of which was for the 2005-2009 period. The data in this series of RGIS Clearinghouse tables are for all New Mexico counties and are based on the 2005-2009 ACS Five-Year Period Estimates collected between January 2005 and December 2009. These data tables are a summary of all major economic topics published through the ACS, providing statistics on employment status, commuting to work, occupation, industry, class of worker, household income distributions, household income by type, family income distributions, nonfamily household income, incomes of individuals, and family and person poverty rates. Percentages are shown along with numeric estimates for most data items. Because the data are based on a sample the Census Bureau also provides information about the magnitude of sampling error. Consequently, the estimated margin of error (MOE) is shown next to each data item. Each economic topic is covered in a separate file in both Excel and CSV formats. These files, along with file-specific descriptions (in Word and text formats) are available in a single zip file.

  10. o

    Data and Code: Fragile New Economy: Intangible Capital, Corporate Savings...

    • openicpsr.org
    delimited
    Updated Dec 26, 2022
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    Ye Li (2022). Data and Code: Fragile New Economy: Intangible Capital, Corporate Savings Glut, and Financial Instability [Dataset]. http://doi.org/10.3886/E183683V1
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    delimitedAvailable download formats
    Dataset updated
    Dec 26, 2022
    Dataset provided by
    American Economic Association
    Authors
    Ye Li
    License

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

    Time period covered
    Jan 1, 1980 - Dec 31, 2019
    Area covered
    North America
    Description

    The transition towards an intangible-intensive economy reshapes financial system by creating a self-perpetuating savings glut in the production sector. As intangibles become increasingly important, firms hoard liquidity to finance investment in intangibles of limited pledgeability. Firms' savings feed cheap leverage to financial intermediaries and allow intermediaries to bid up asset prices, which in turn encourages firms to save more for asset creation. This paper develops a macro finance model that offers a coherent account of the rising corporate savings, debt fueled growth of intermediaries, declining interest rates, and rising asset valuation. Along these secular trends, endogenous financial risk accumulates.

  11. 2017 Economic Census: EC1772BASIC | Accommodation and Food Services: Summary...

    • data.census.gov
    Updated Sep 15, 2019
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    ECN (2019). 2017 Economic Census: EC1772BASIC | Accommodation and Food Services: Summary Statistics for the U.S., States, and Selected Geographies: 2017 (ECN Core Statistics Summary Statistics for the U.S., States, and Selected Geographies: 2017) [Dataset]. https://data.census.gov/all/tables?q=L%20J's%20Rv%20Svc
    Explore at:
    Dataset updated
    Sep 15, 2019
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ECN
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    2017
    Area covered
    United States
    Description

    Release Date: 2020-06-09.Release Schedule:.The data in this file come from the 2017 Economic Census data files released on a flow basis starting in September 2019. As such, preliminary U.S. totals released in September 2019 will be superseded with final totals, by sector, once data for all states have been released. Users should be aware that during the release of this consolidated file, data at more detailed North American Industry Classification System (NAICS) and geographic levels may not add to higher-level totals. However, at the completion of the economic census (once all the component files have been released), the detailed data in this file will add to the totals. For more information about economic census planned data product releases, see Economic Census: About: 2017 Release Schedules...Key Table Information:.U.S. totals released in September 2019 will be superseded with final totals, by sector, once data for all states have been released..Includes only establishments and firms with payroll..Data may be subject to employment- and/or sales-size minimums that vary by industry...Data Items and Other Identifying Records: .Number of firms.Number of establishments.Sales, value of shipments, or revenue ($1,000).Annual payroll ($1,000).First-quarter payroll ($1,000).Number of employees.Range indicating percent of total sales, value of shipments, or revenue imputed.Range indicating percent of total annual payroll imputed.Range indicating percent of total employees imputed..Geography Coverage:.The data are shown for employer establishments and firms at the U.S., State, Combined Statistical Area, Metropolitan and Micropolitan Statistical Area, Metropolitan Division, Consolidated City, County (and equivalent), and Economic Place (and equivalent; incorporated and unincorporated) levels that vary by industry. For information about economic census geographies, including changes for 2017, see Economic Census: Economic Geographies...Industry Coverage:.The data are shown at the 2- through 6-digit 2017 NAICS code levels. For information about NAICS, see Economic Census: Technical Documentation: Code Lists...Footnotes:.Not applicable...FTP Download:.Download the entire table at: https://www2.census.gov/programs-surveys/economic-census/data/2017/sector72/EC1772BASIC.zip..API Information:.Economic census data are housed in the Census Bureau API. For more information, see Explore Data: Developers: Available APIs: Economic Census..Methodology:.To maintain confidentiality, the U.S. Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain sampling and/or nonsampling error. Data users who create their own estimates using data from this file should cite the U.S. Census Bureau as the source of the original data only...To comply with disclosure avoidance guidelines, data rows with fewer than three contributing establishments are not presented. Additionally, establishment counts are suppressed when other select statistics in the same row are suppressed. For detailed information about the methods used to collect and produce statistics, including sampling, eligibility, questions, data collection and processing, data quality, review, weighting, estimation, coding operations, confidentiality protection, sampling error, nonsampling error, and more, see Economic Census: Technical Documentation: Methodology...Symbols:.D - Withheld to avoid disclosing data for individual companies; data are included in higher level totals.N - Not available or not comparable.S - Estimate does not meet publication standards because of high sampling variability, poor response quality, or other concerns about the estimate quality. Unpublished estimates derived from this table by subtraction are subject to these same limitations and should not be attributed to the U.S. Census Bureau. For a description of publication standards and the total quantity response rate, see link to program methodology page..X - Not applicable.A - Relative standard error of 100% or more.r - Revised.s - Relative standard error exceeds 40%.For a complete list of symbols, see Economic Census: Technical Documentation: Data Dictionary.. .Source:.U.S. Census Bureau, 2017 Economic Census.For information about the economic census, see Business and Economy: Economic Census...Contact Information:.U.S. Census Bureau.For general inquiries:. (800) 242-2184/ (301) 763-5154. ewd.outreach@census.gov.For specific data questions:. (800) 541-8345.For additional contacts, see Economic Census: About: Contact Us.

  12. Sharing Economy Market Analysis APAC, Europe, North America, South America,...

    • technavio.com
    Updated Jan 15, 2025
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    Technavio (2025). Sharing Economy Market Analysis APAC, Europe, North America, South America, Middle East and Africa - US, China, Germany, Japan, UK, South Korea, France, Canada, Brazil, Saudi Arabia - Size and Forecast 2025-2029 [Dataset]. https://www.technavio.com/report/sharing-economy-market-industry-analysis
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2021 - 2025
    Area covered
    Canada, Germany, United States, Global
    Description

    Snapshot img

    Sharing Economy Market Size 2025-2029

    The sharing economy market size is forecast to increase by USD 1118.8 billion, at a CAGR of 32.3% between 2024 and 2029.

    The market is experiencing significant growth, driven by the increasing popularity of online ride-hailing services. This trend is fueled by the convenience and affordability these services offer, enabling users to access transportation on demand. Another key driver is the adoption of blockchain technology in the sharing economy, which enhances security and trust between users, facilitating seamless transactions. However, the market also faces regulatory challenges, as governments grapple with the complexities of overseeing peer-to-peer transactions and ensuring consumer protection.
    Companies looking to capitalize on the opportunities presented by the sharing economy must navigate these regulatory hurdles while maintaining a focus on innovation and user experience. Effective strategic planning and operational agility will be essential for success in this dynamic market.
    

    What will be the Size of the Sharing Economy Market during the forecast period?

    Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
    Request Free Sample

    The market continues to evolve, with digital platforms revolutionizing various sectors through peer-to-peer transactions and collaborative consumption. Platform governance and digital identity play crucial roles in ensuring trust and safety, while user experience and mobile applications enhance accessibility. User reviews and community marketplaces foster community building and customer loyalty. Technology adoption, including machine learning and artificial intelligence, drives operational efficiency and innovation. Trust and safety measures, such as security measures and reputation management, mitigate risks. Monetization strategies, including peer-to-peer lending and revenue streams, enable platform sustainability. Circular economy principles and sustainable consumption are gaining traction, aligning with social responsibility and economic sustainability.

    Legal frameworks and network effects shape the regulatory landscape, while pricing models and network effects influence market dynamics. The future of work is evolving, with freelancing platforms and task rabbiting shaping the gig economy. Blockchain technology and smart contracts offer potential solutions for trust, transparency, and decentralized finance. Insuring against risks and managing tax implications remain critical considerations. Continuous innovation and adaptation are essential for success in the market. Platforms must prioritize user experience, trust and safety, and operational efficiency while navigating regulatory frameworks and social impact.

    How is this Sharing Economy Industry segmented?

    The sharing economy industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

    Type
    
      Sharing accommodation
      Sharing transport
      Sharing finance
      Others
    
    
    End-user
    
      Individual
      Business
    
    
    Geography
    
      North America
    
        US
        Canada
    
    
      Europe
    
        France
        Germany
        UK
    
    
      APAC
    
        China
        Japan
        South Korea
    
    
      South America
    
        Brazil
    
    
      Rest of World (ROW)
    

    By Type Insights

    The sharing accommodation segment is estimated to witness significant growth during the forecast period.

    The market in the US is characterized by robust competition among digital platforms that facilitate peer-to-peer transactions in various sectors, including accommodation, freelancing, and peer-to-peer lending. Sharing economy regulations continue to evolve, shaping the market's dynamics. In the accommodation sector, individuals rent or share their living spaces through online platforms, offering cost-effective, flexible alternatives to traditional lodging. This trend is particularly popular among budget-conscious consumers, students, and those seeking affordable short-term stays. Platform governance and user experience are crucial factors in building customer loyalty and trust. Digital identity and user reviews play a significant role in ensuring trust and safety.

    Payment gateways enable seamless transactions, while machine learning and artificial intelligence power personalized recommendations and pricing models. The circular economy and sustainable consumption are gaining traction, with many platforms emphasizing the social impact of their services. Operational efficiency and security measures are essential for platform monetization. Community marketplaces and community building foster network effects, driving user acquisition and revenue streams. Peer-to-peer lending platforms offer alternative financing options, while task rabb

  13. N

    North America Food Service Market Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Feb 24, 2025
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    Data Insights Market (2025). North America Food Service Market Report [Dataset]. https://www.datainsightsmarket.com/reports/north-america-food-service-market-5425
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    pdf, doc, pptAvailable download formats
    Dataset updated
    Feb 24, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    North America
    Variables measured
    Market Size
    Description

    The size of the North America Food Service Market was valued at USD XX Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of 5.35% during the forecast period. The food service market in North America, which includes activities related to preparing, packaging, and distributing food and drinks for consumption outside the home, is seeing notable expansion. This market consists of cafes, bars, sit-down restaurants, fast-food restaurants, and virtual kitchens. Key players such as McDonald's Corporation and Yum! Brands dominate the market with wide-ranging product lineups and strong distribution systems. The market's attractiveness is boosted by the growing popularity of vegan food, advancements in technology, and implementation of sustainable practices. While facing obstacles like upholding operational efficiency and adjusting to consumer demands, the market remains optimistic due to continuous innovations and investments. This path highlights the essential role of the dining sector in the North American economy and its possibility for ongoing market expansion. Recent developments include: January 2023: Bloomin' Brands declared that its brand Outback Steakhouse opened its redesigned stores in Spring's Grand Parkway Marketplace.December 2022: 7-Eleven announced that it started increasing its footprint in Canada by converting a number of its restaurants into authorized outlets with fine dining seating.November 2022: Starbucks unveiled the new Starbucks Reserve Empire State Building store. This unique store celebrates connecting over coffee through innovative experiences such as immersive, hands-on workshops, guided tasting flights, and new coffee beverages and craft cocktails. An extended artisan menu of Princi food is only available at this location.. Key drivers for this market are: Growing Inclination Towards Vegan/Plant-based Protein Sources, Increasing Demand for Functional Protein Beverages. Potential restraints include: Competition from Substitute Products. Notable trends are: OTHER KEY INDUSTRY TRENDS COVERED IN THE REPORT.

  14. g

    Advance U.S. International Trade in Goods | gimi9.com

    • gimi9.com
    Updated May 8, 2016
    + more versions
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    (2016). Advance U.S. International Trade in Goods | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_advance-u-s-international-trade-in-goods/
    Explore at:
    Dataset updated
    May 8, 2016
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    United States
    Description

    The U.S. Census Bureau's economic indicator surveys provide monthly and quarterly data that are timely, reliable, and offer comprehensive measures of the U.S. economy. These surveys produce a variety of statistics covering construction, housing, international trade, retail trade, wholesale trade, services and manufacturing. The survey data provide measures of economic activity that allow analysis of economic performance and inform business investment and policy decisions. Other data included, which are not considered principal economic indicators, are the Quarterly Summary of State & Local Taxes, Quarterly Survey of Public Pensions, and the Manufactured Homes Survey. For information on the reliability and use of the data, including important notes on estimation and sampling variance, seasonal adjustment, measures of sampling variability, and other information pertinent to the economic indicators, visit the individual programs' webpages - http://www.census.gov/cgi-bin/briefroom/BriefRm.

  15. Data and Code for: Methods Matter: P-Hacking and Publication Bias in Causal...

    • openicpsr.org
    Updated Mar 21, 2022
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    Abel Brodeur; Anthony Heyes; Nikolai Cook (2022). Data and Code for: Methods Matter: P-Hacking and Publication Bias in Causal Analysis in Economics: Reply [Dataset]. http://doi.org/10.3886/E165621V1
    Explore at:
    Dataset updated
    Mar 21, 2022
    Dataset provided by
    American Economic Associationhttp://www.aeaweb.org/
    Authors
    Abel Brodeur; Anthony Heyes; Nikolai Cook
    License

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

    Description

    This is the replication package of Methods Matter: P-Hacking and Publication Bias in Causal Analysis in Economics: Reply.

  16. Time Series Economic Indicators Time Series -: New Residential Construction

    • s.cnmilf.com
    • catalog.data.gov
    Updated Jul 19, 2023
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    U.S. Census Bureau (2023). Time Series Economic Indicators Time Series -: New Residential Construction [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/time-series-economic-indicators-time-series-new-residential-construction
    Explore at:
    Dataset updated
    Jul 19, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    The U.S. Census Bureau.s economic indicator surveys provide monthly and quarterly data that are timely, reliable, and offer comprehensive measures of the U.S. economy. These surveys produce a variety of statistics covering construction, housing, international trade, retail trade, wholesale trade, services and manufacturing. The survey data provide measures of economic activity that allow analysis of economic performance and inform business investment and policy decisions. Other data included, which are not considered principal economic indicators, are the Quarterly Summary of State & Local Taxes, Quarterly Survey of Public Pensions, and the Manufactured Homes Survey. For information on the reliability and use of the data, including important notes on estimation and sampling variance, seasonal adjustment, measures of sampling variability, and other information pertinent to the economic indicators, visit the individual programs' webpages - http://www.census.gov/cgi-bin/briefroom/BriefRm.

  17. U.S. real per capita GDP 2023, by state

    • statista.com
    Updated Jul 5, 2024
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    Statista (2024). U.S. real per capita GDP 2023, by state [Dataset]. https://www.statista.com/statistics/248063/per-capita-us-real-gross-domestic-product-gdp-by-state/
    Explore at:
    Dataset updated
    Jul 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    Out of all 50 states, New York had the highest per-capita real gross domestic product (GDP) in 2023, at 90,730 U.S. dollars, followed closely by Massachusetts. Mississippi had the lowest per-capita real GDP, at 39,102 U.S. dollars. While not a state, the District of Columbia had a per capita GDP of more than 214,000 U.S. dollars. What is real GDP? A country’s real GDP is a measure that shows the value of the goods and services produced by an economy and is adjusted for inflation. The real GDP of a country helps economists to see the health of a country’s economy and its standard of living. Downturns in GDP growth can indicate financial difficulties, such as the financial crisis of 2008 and 2009, when the U.S. GDP decreased by 2.5 percent. The COVID-19 pandemic had a significant impact on U.S. GDP, shrinking the economy 2.8 percent. The U.S. economy rebounded in 2021, however, growing by nearly six percent. Why real GDP per capita matters Real GDP per capita takes the GDP of a country, state, or metropolitan area and divides it by the number of people in that area. Some argue that per-capita GDP is more important than the GDP of a country, as it is a good indicator of whether or not the country’s population is getting wealthier, thus increasing the standard of living in that area. The best measure of standard of living when comparing across countries is thought to be GDP per capita at purchasing power parity (PPP) which uses the prices of specific goods to compare the absolute purchasing power of a countries currency.

  18. T

    GDP by Country in AMERICA

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 30, 2017
    + more versions
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    TRADING ECONOMICS (2017). GDP by Country in AMERICA [Dataset]. https://tradingeconomics.com/country-list/gdp?continent=america
    Explore at:
    csv, excel, xml, jsonAvailable download formats
    Dataset updated
    May 30, 2017
    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
    United States
    Description

    This dataset provides values for GDP reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

  19. e

    Cooperation in a Dynamic Fishing Game: A Framed Field Experiment. American...

    • datarepository.eur.nl
    xls
    Updated Jun 1, 2023
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    Jan Stoop; Charles N. Noussair; Daan van Soest (2023). Cooperation in a Dynamic Fishing Game: A Framed Field Experiment. American Economic Review: Papers and Proceedings_data [Dataset]. http://doi.org/10.25397/eur.14636448.v1
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    Erasmus University Rotterdam (EUR)
    Authors
    Jan Stoop; Charles N. Noussair; Daan van Soest
    License

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

    Description

    Excel file with data of the paper "Noussair, C. N., van Soest, D., and Stoop, J. (2015). Cooperation in a Dynamic Fishing Game: A Framed Field Experiment. American Economic Review: Papers and Proceedings, 105(5), 408-13.".It contains all the variables that were used in this paper.

  20. F

    Trade Balance: Goods and Services, Balance of Payments Basis

    • fred.stlouisfed.org
    json
    Updated Jun 5, 2025
    + more versions
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    (2025). Trade Balance: Goods and Services, Balance of Payments Basis [Dataset]. https://fred.stlouisfed.org/series/BOPGSTB
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 5, 2025
    License

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

    Description

    Graph and download economic data for Trade Balance: Goods and Services, Balance of Payments Basis (BOPGSTB) from Jan 1992 to Apr 2025 about BOP, balance, headline figure, trade, goods, services, and USA.

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MACROTRENDS (2025). U.S. GDP [Dataset]. https://www.macrotrends.net/global-metrics/countries/usa/united-states/gdp-gross-domestic-product

Data from: U.S. GDP

U.S. GDP

Related Article
Explore at:
7 scholarly articles cite this dataset (View in Google Scholar)
csvAvailable download formats
Dataset updated
May 31, 2025
Dataset authored and provided by
MACROTRENDS
License

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

Area covered
United States
Description
U.S. GDP for 2023 was 27.721 trillion US dollars, a 6.59% increase from 2022.
<ul style='margin-top:20px;'>

<li>U.S. GDP for 2022 was <strong>26.007 trillion US dollars</strong>, a <strong>9.82% increase</strong> from 2021.</li>
<li>U.S. GDP for 2021 was <strong>23.681 trillion US dollars</strong>, a <strong>10.9% increase</strong> from 2020.</li>
<li>U.S. GDP for 2020 was <strong>21.354 trillion US dollars</strong>, a <strong>0.86% decline</strong> from 2019.</li>
</ul>GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.
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