58 datasets found
  1. U

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

    • ceicdata.com
    Updated Oct 29, 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
    Oct 29, 2024
    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
    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...

  2. Trump Tariff Data 2025

    • kaggle.com
    zip
    Updated Apr 10, 2025
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    Mesum Raza Hemani (2025). Trump Tariff Data 2025 [Dataset]. https://www.kaggle.com/datasets/mesumraza/trump-tarrif-data
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    zip(27281 bytes)Available download formats
    Dataset updated
    Apr 10, 2025
    Authors
    Mesum Raza Hemani
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    Trump_Tariff_Data

    This dataset compiles key data points related to the impact and policy measures surrounding U.S. tariffs proposed or implemented by Donald Trump, particularly during the 2024 campaign and policy forecast period. It includes economic and trade metrics that provide context on U.S. trade balances, tariffs, and their international implications.

    📁 Files & Structure

    The dataset is divided into two main data tables:

    📊 Data 1: Country-Level Trade & Tariff Overview

    Column NameDescription
    CountryName of the trading partner country
    US 2024 DeficitThe projected trade deficit (or surplus) of the U.S. with the given country in 2024
    US 2024 ExportsTotal U.S. exports to the country in 2024 (in billions USD)
    US 2024 Imports (Customs Basis)Total U.S. imports from the country (customs basis) for 2024
    Trump Tariffs AllegedWhether tariffs were proposed or alleged to be imposed (Yes/No)
    Trump ResponseSummary of Trump’s stated response or policy stance
    PopulationEstimated 2024 population of the country (used to contextualize trade impact)

    📈 Data 2: Tariff Policy Events & Economic Impact

    Column NameDescription
    dateDate of the policy announcement or forecast
    CountriesCountry or region affected by the tariff policy
    summaryGroupGrouping of the tariff measure (e.g., "Steel Tariffs", "Technology Tariffs")
    TarrifImposeIndicates whether a tariff was actually imposed (Yes/No)
    goodsTargetedTypes of goods targeted by the tariff (e.g., "Vehicles", "Electronics")
    forecastEconomic forecast or impact assessment linked to the tariff
    statusCurrent status of the policy (e.g., "Planned", "Enforced", "Suspended")
    affectedTrade(B)Estimated trade volume affected by the tariff (in billions USD)
    avEffectiveTariffRateAverage effective tariff rate (%) post-policy
    gdpGDP of the affected country or region
    cpeInflationConsumer Price Index-related inflation estimates in response to the tariff

    💡 Use Cases

    • Analyze the economic and geopolitical impact of tariff policies
    • Forecast inflation or GDP shifts due to trade measures
    • Build visual dashboards to compare U.S. trade relations by country
    • Study election-cycle economic strategies and their global implications

    Let us know if you create something cool using this dataset!

  3. d

    Vol 17(2): Replication Data for: The Differential Effects of Economic...

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 22, 2023
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    Green, Jonathan; McElwee, Sean (2023). Vol 17(2): Replication Data for: The Differential Effects of Economic Conditions and Racial Attitudes in the Election of Donald Trump [Dataset]. http://doi.org/10.7910/DVN/IEMA1T
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    Dataset updated
    Nov 22, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Green, Jonathan; McElwee, Sean
    Description

    These files contain all data and code necessary to replicate the analyses in "The Differential Effects of Economic Conditions and Racial Attitudes in the Election of Donald Trump." The primary analyses are based on the February 2018 release of the 2016 Cooperative Congressional Election Survey, which includes updated/corrected vote validation, with geographic economic indicators merged to it. Ancillary analyses using the 2016 ANES and 2011-2016 VOTER panel survey are also included. Please consult _ReadMe.txt (the first file in the unzipped folder) for a full description of all files and how they fit together in analysis.

  4. t

    Official Trump Financial and Analytics Data

    • tokenterminal.com
    csv, json
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    Token Terminal, Official Trump Financial and Analytics Data [Dataset]. https://tokenterminal.com/explorer/projects/officialtrump
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    json, csvAvailable download formats
    Dataset authored and provided by
    Token Terminal
    License

    https://tokenterminal.com/termshttps://tokenterminal.com/terms

    Time period covered
    2020 - Present
    Variables measured
    Price, Revenue, Market Cap, Trading Volume, Total Value Locked
    Description

    Comprehensive financial and analytical metrics for Official Trump, including key performance indicators, market data, and ecosystem analytics.

  5. U.S. estimated impact of Trump's proposed tariffs 2025

    • statista.com
    Updated Feb 13, 2025
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    Statista (2025). U.S. estimated impact of Trump's proposed tariffs 2025 [Dataset]. https://www.statista.com/statistics/1557480/estimated-impact-of-trump-tariffs-us/
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    Dataset updated
    Feb 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2025
    Area covered
    United States
    Description

    According to estimates, if President Trump's proposed tariffs go into effect permanently, the United States' GDP would decrease by 0.4 percent. Of this, 0.3 percent would be from the 25 percent tariff on all imports from Canada and Mexico, while 0.1 percent would be from the 10 percent tariff on all imports from China. As of February 10, China imposed retaliatory tariffs on the United States, with a 15 percent tariff on coal and liquid natural gas, and a 10 percent tariff on other exports, including oil, machinery, and large motor vehicles.

  6. H

    Replication Data for: Political Costs of Trade War Tariffs

    • dataverse.harvard.edu
    Updated Sep 16, 2023
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    Edward D. Mansfield; Omer Solodoch (2023). Replication Data for: Political Costs of Trade War Tariffs [Dataset]. http://doi.org/10.7910/DVN/S1USLQ
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 16, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Edward D. Mansfield; Omer Solodoch
    License

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

    Description

    We analyze whether--and, if so, how--Americans reacted to the escalation of the trade war between the United States and China in June 2018. To address this issue, we leverage surveys conducted in the U.S. during this phase of the economic clash. We find a significant reduction in support for Donald Trump and his trade policy immediately following the announcement of retaliatory tariffs by the Chinese government. Moreover, respondents’ economic concerns about the trade war were primarily sociotropic and only weakly related to personal pocketbook considerations or local exposure to Chinese retaliatory tariffs. We also find that the trade war's intensification was politically consequential, decreasing support for Republican candidates in the 2018 midterm elections. Our findings indicate that trade wars can be politically costly for incumbent politicians, even among voters who are not directly affected by retaliatory tariffs.

  7. H

    Replication Data for: Donald Trump's words

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Oct 4, 2025
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    DANIEL TREISMAN (2025). Replication Data for: Donald Trump's words [Dataset]. http://doi.org/10.7910/DVN/NAAER7
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 4, 2025
    Dataset provided by
    Harvard Dataverse
    Authors
    DANIEL TREISMAN
    License

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

    Description

    Is Donald Trump a radical departure from American political tradition or the culmination of pre-existing trends? We explore this question in the context of his political speech. Analyzing a monthly series of Trump’s public addresses from 2015 to 24, we compare them to speeches by other U.S. presidential candidates and global leaders. We show that Trump’s use of violent vocabulary—linked to both war and crime—intensified over time, becoming by late 2024 among the most extreme of any democratic politicians studied. Despite his reputation as an economic nationalist, Trump’s references to economic issues have declined, mirroring a broader bipartisan shift toward identity-based appeals. While his rhetoric includes populist elements, it deviates from conventional populist patterns, particularly in his infrequent references to “the people.” Instead, he embraces an exclusionary populism, centered on vilifying political opponents and marginalized groups.

  8. t

    Official Trump Financial Statement

    • tokenterminal.com
    csv, json
    Updated Oct 3, 2025
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    Token Terminal (2025). Official Trump Financial Statement [Dataset]. https://tokenterminal.com/explorer/projects/officialtrump
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Oct 3, 2025
    Dataset authored and provided by
    Token Terminal
    License

    https://tokenterminal.com/termshttps://tokenterminal.com/terms

    Time period covered
    2020 - Present
    Variables measured
    Profit, Revenue, Expenses, Cash Flow
    Description

    Comprehensive financial statement for Official Trump, including key performance indicators, market data, and ecosystem analytics.

  9. Confidence level among the American people in Donald Trump's political...

    • statista.com
    Updated Feb 15, 2020
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    Statista (2020). Confidence level among the American people in Donald Trump's political abilties [Dataset]. https://www.statista.com/statistics/659273/confidence-in-donald-trump-s-abilities/
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    Dataset updated
    Feb 15, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 7, 2016 - Dec 11, 2016
    Area covered
    United States
    Description

    This statistic shows the confidence level of the American people in Donald Trump's abilities to handle selected political tasks and crises. 32 percent of the respondents felt very confident in Trump's abilities to handle the economy effectively, while 40 percent did not.

  10. H

    Replication Data for: Expressive Responding and the Economy: The Case of...

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Oct 1, 2025
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    Matthew Graham (2025). Replication Data for: Expressive Responding and the Economy: The Case of Trump's Return to Office [Dataset]. http://doi.org/10.7910/DVN/I6SPQI
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 1, 2025
    Dataset provided by
    Harvard Dataverse
    Authors
    Matthew Graham
    License

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

    Description

    Contains all files needed to reproduce the results. See readme.txt. The files are organized into directories. Browsing works better in tree view.

  11. President Trump's Landmark $1.2 Trillion Economic Deal with Qatar - News and...

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Oct 1, 2025
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    IndexBox Inc. (2025). President Trump's Landmark $1.2 Trillion Economic Deal with Qatar - News and Statistics - IndexBox [Dataset]. https://www.indexbox.io/blog/trumps-12-trillion-economic-agreement-with-qatar/
    Explore at:
    doc, xls, pdf, xlsx, docxAvailable download formats
    Dataset updated
    Oct 1, 2025
    Dataset provided by
    IndexBox
    Authors
    IndexBox Inc.
    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, 2012 - Oct 1, 2025
    Area covered
    Qatar
    Variables measured
    Market Size, Market Share, Tariff Rates, Average Price, Export Volume, Import Volume, Demand Elasticity, Market Growth Rate, Market Segmentation, Volume of Production, and 4 more
    Description

    President Trump's visit to Qatar results in a $1.2 trillion economic agreement, enhancing U.S.-Qatar trade relations with a significant Boeing deal.

  12. U.S. adults economic and political predictions for 2023

    • statista.com
    Updated Jan 3, 2023
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    Statista (2023). U.S. adults economic and political predictions for 2023 [Dataset]. https://www.statista.com/statistics/1357896/americans-economic-political-predictions-us/
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    Dataset updated
    Jan 3, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 5, 2022 - Dec 19, 2022
    Area covered
    United States
    Description

    According to a poll conducted at the end of 2022, Americans were feeling quite pessimistic about the coming year. 90 percent of Americans felt negatively about the prospect of political conflict in 2023.

    The Economy 2022 was a difficult year for many Americans, as it was for many around the world. After a year of high inflation, record fuel prices, and decreased financial security, the country greeted 2023 with high rates of skepticism and caution. Although the U.S. economy itself has experienced a strong rebound from the pandemic recession compared with other major economies, a sustained decline in consumer spending power thanks to wage growth not keeping pace with inflation has everyday Americans feeling the pinch.

    U.S. political landscape The political scene in the U.S. also had a tumultuous few years in the lead up to 2023. The election of Donald Trump as the 45th President of the United States in 2016 left many voters reeling and the country more divided than ever. The beginning of 2021 was market by the January 6th attack on the Capitol, as well as the inauguration of Joe Biden. Additionally, the country continued to grapple with a politicized response to the COVID-19 pandemic and associated restrictions. 2022 began with the Russian invasion of Ukraine, ushering in the beginning of a global fuel and inflation crisis. In the midst of hardening economic conditions, the Supreme Court overturned its ruling on Roe v. Wade, returning the power to decide abortion restrictions to state legislatures.

    The 2022 midterm elections saw Republicans win enough seats to take back control of the House of Representatives, but saw the GOP ultimately underperform compared to predictions at the time. The first day of the 2023 congressional term was marked by the inability of the Republican Party to unify itself behind one candidate for Speaker of the House, leading to a once in a century multi-round of Speaker elections. With new members of the House not able to be sworn in until a Speaker is elected, 2023 had a difficult start.

  13. T

    United States GDP Growth Rate

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Sep 25, 2025
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    TRADING ECONOMICS (2025). United States GDP Growth Rate [Dataset]. https://tradingeconomics.com/united-states/gdp-growth
    Explore at:
    json, excel, csv, xmlAvailable download formats
    Dataset updated
    Sep 25, 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
    Jun 30, 1947 - Jun 30, 2025
    Area covered
    United States
    Description

    The Gross Domestic Product (GDP) in the United States expanded 3.80 percent in the second quarter of 2025 over the previous quarter. This dataset provides the latest reported value for - United States GDP Growth Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  14. m

    The Impact of a Daily Political Risk Factor on the U.S Stock Market Before...

    • data.mendeley.com
    Updated Jun 12, 2019
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    hechem ajmi (2019). The Impact of a Daily Political Risk Factor on the U.S Stock Market Before and After Donald Trump’s Election: A Quantile Regression Method [Dataset]. http://doi.org/10.17632/7tbbb55dz2.1
    Explore at:
    Dataset updated
    Jun 12, 2019
    Authors
    hechem ajmi
    License

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

    Description

    A daily data ranging from January 2014 until December 2018 is employed. The period between January, 1, 2014 until November 7, 2016 refers to the pre-election period. The period ranging from November 8, 2016, until December, 31 2018 defines the post-election period. Four U.S stock price indices are retrieved from DataStream: The standard and Poor’s 500 index (S&P 500) covers the performance of 500 largest capitalization stocks. The Dow Jones Industrial Average (DJIA) index tracks the prices of the top 30 US companies. The NASDAQ 100 measures the performance of the 100 largest non-financial stocks traded on NASDAQ. The Russell 2000 index covers the performance of 2.000 lowest capitalization stocks. A daily political risk index is calculated for each period using Google trends and the principal component analysis.

  15. i

    Ted Cruz Warns of Economic Risks from Trump's Tariff Strategy - News and...

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Oct 1, 2025
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    IndexBox Inc. (2025). Ted Cruz Warns of Economic Risks from Trump's Tariff Strategy - News and Statistics - IndexBox [Dataset]. https://www.indexbox.io/blog/ted-cruz-criticizes-trumps-tariff-strategy-amid-economic-concerns/
    Explore at:
    pdf, xls, xlsx, doc, docxAvailable download formats
    Dataset updated
    Oct 1, 2025
    Dataset authored and provided by
    IndexBox Inc.
    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, 2012 - Oct 1, 2025
    Area covered
    United States
    Variables measured
    Market Size, Market Share, Tariff Rates, Average Price, Export Volume, Import Volume, Demand Elasticity, Market Growth Rate, Market Segmentation, Volume of Production, and 4 more
    Description

    Senator Ted Cruz criticizes President Trump's tariff strategy, warning of economic risks and potential political consequences.

  16. d

    Replication Data for: The Political Geography of the January 6...

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Mar 6, 2024
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    Pape, Robert A.; Larson, Kyle D.; Ruby, Keven G. (2024). Replication Data for: The Political Geography of the January 6 Insurrectionists [Dataset]. http://doi.org/10.7910/DVN/KOOIRH
    Explore at:
    Dataset updated
    Mar 6, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    Pape, Robert A.; Larson, Kyle D.; Ruby, Keven G.
    Description

    What are the local political, economic, and social conditions of the communities that sent insurrectionists to the U.S. Capitol in support of Donald Trump? Using a new dataset of the home counties of individuals charged for the Capitol Insurrection, we present the first systematic analysis of community-level factors on county rates of arrested insurrectionists. A one standard deviation decline in non-Hispanic White population share is associated with a 37% increase in the rate of insurrectionists, while manufacturing decline is associated with a 12% increase, even when controlling for population, racial makeup, and populist Trump support. The effect of white population decline is greater in counties whose U.S. Representative objected to the certification of the 2020 election results. Our findings suggest that improving economic conditions alone will not solve the problem of violent populism. Future research should further investigate the differences between electoral and violent populism. This dataset contains the Stata (version 18) dofiles and datafiles needed to replicate the figures and tables in the publication "The Political Geography of the January 6 Insurrectionists."

  17. T

    United States Money Supply M2

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Oct 16, 2025
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    TRADING ECONOMICS (2025). United States Money Supply M2 [Dataset]. https://tradingeconomics.com/united-states/money-supply-m2
    Explore at:
    json, xml, csv, excelAvailable download formats
    Dataset updated
    Oct 16, 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 31, 1959 - Oct 31, 2025
    Area covered
    United States
    Description

    Money Supply M2 in the United States increased to 22298.10 USD Billion in October from 22212.50 USD Billion in September of 2025. This dataset provides - United States Money Supply M2 - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  18. U.S. real GDP growth by quarter Q2 2013- Q1 2025

    • statista.com
    Updated Nov 19, 2025
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    Statista (2025). U.S. real GDP growth by quarter Q2 2013- Q1 2025 [Dataset]. https://www.statista.com/statistics/188185/percent-change-from-preceding-period-in-real-gdp-in-the-us/
    Explore at:
    Dataset updated
    Nov 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    As of the first quarter of 2025, the GDP of the U.S. fell by 0.5 percent from the fourth quarter of 2024. GDP, or gross domestic product, is effectively a count of the total goods and services produced in a country over a certain period of time. It is calculated by first adding together a country’s total consumer spending, government spending, investments and exports; and then deducting the country’s imports. The values in this statistic are the change in ‘constant price’ or ‘real’ GDP, which means this basic calculation is also adjusted to factor in the regular price changes measured by the U.S. inflation rate. Because of this adjustment, U.S. real annual GDP will differ from the U.S. 'nominal' annual GDP for all years except the baseline from which inflation is calculated. What is annualized GDP? The important thing to note about the growth rates in this statistic is that the values are annualized, meaning the U.S. economy has not actually contracted or grown by the percentage shown. For example, the fall of 29.9 percent in the second quarter of 2020 did not mean GDP is suddenly one third less than a year before. In fact, it means that if the decline seen during that quarter continued at the same rate for a full year, then GDP would decline by this amount. Annualized values can therefore exaggerate the effect of short-term economic shocks, as they only look at economic output during a limited period. This effect can be seen by comparing annualized quarterly growth rates with the annual GDP growth rates for each calendar year.

  19. Impact of Trump's Tariffs on South African Economy and Jobs - News and...

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Oct 1, 2025
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    IndexBox Inc. (2025). Impact of Trump's Tariffs on South African Economy and Jobs - News and Statistics - IndexBox [Dataset]. https://www.indexbox.io/blog/trumps-tariffs-threaten-south-african-jobs-amid-economic-concerns/
    Explore at:
    xlsx, doc, docx, xls, pdfAvailable download formats
    Dataset updated
    Oct 1, 2025
    Dataset provided by
    IndexBox
    Authors
    IndexBox Inc.
    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, 2012 - Oct 1, 2025
    Area covered
    South Africa
    Variables measured
    Market Size, Market Share, Tariff Rates, Average Price, Export Volume, Import Volume, Demand Elasticity, Market Growth Rate, Market Segmentation, Volume of Production, and 4 more
    Description

    Discover the potential job losses in South Africa due to Trump's tariffs, impacting agriculture and automotive sectors.

  20. F

    Inflation, consumer prices for the United States

    • fred.stlouisfed.org
    json
    Updated Apr 16, 2025
    + more versions
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    (2025). Inflation, consumer prices for the United States [Dataset]. https://fred.stlouisfed.org/series/FPCPITOTLZGUSA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Apr 16, 2025
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Inflation, consumer prices for the United States (FPCPITOTLZGUSA) from 1960 to 2024 about consumer, CPI, inflation, price index, indexes, price, and USA.

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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

United States The Economist YouGov Polls: 2024 Presidential Election: Donald Trump

Explore at:
Dataset updated
Oct 29, 2024
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
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...

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