8 datasets found
  1. T

    United States Michigan Consumer Sentiment

    • tradingeconomics.com
    • es.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Nov 7, 2025
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    TRADING ECONOMICS (2025). United States Michigan Consumer Sentiment [Dataset]. https://tradingeconomics.com/united-states/consumer-confidence
    Explore at:
    csv, xml, json, excelAvailable download formats
    Dataset updated
    Nov 7, 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
    Nov 30, 1952 - Nov 30, 2025
    Area covered
    United States
    Description

    Consumer Confidence in the United States decreased to 51 points in November from 53.60 points in October of 2025. This dataset provides the latest reported value for - United States Consumer Sentiment - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  2. Michigan's electoral votes in U.S. presidential elections 1836-2020

    • statista.com
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    Statista, Michigan's electoral votes in U.S. presidential elections 1836-2020 [Dataset]. https://www.statista.com/statistics/1130582/michigan-electoral-votes-since-1836/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Michigan, United States
    Description

    The state of Michigan has taken part in 47 U.S. presidential elections, correctly voting for the nationwide winner in 37 of these, giving a success rate of 79 percent. Throughout most of the nineteenth century, Michigan generally voted for the Republican Party's nominee, although it has regularly swung between the two major parties since the 1930s. The only time when the Wolverine State voted for a third party candidate was in the 1912 election, when former President Theodore Roosevelt carried Michigan while running as the Progressive Party's nominee. While born in Nebraska, Gerald R. Ford was raised, studied and represented Michigan in Congress, before he became the only Michiganian to ascend to the presidency following Richard Nixon's resignation in 1974.

    Swing state After voting for the Democratic candidate in all elections from 1992 until 2012, the Republican nominee Donald Trump carried the state in the 2016 election, with just a 0.23 percent larger share of the popular votes than Hillary Clinton. Trump's victory has been attributed to a large number of working class voters who traditionally voted Democrat, but had become disenfranchised with the party during the Obama presidency. In the 2020 election, however, increased turnout among black voters and stronger appeal to unionized workers saw Joe Biden swing Michigan blue again, with a seven percent margin in the popular vote.

    Michigan demographics Michigan was designated three electoral votes in the 1836 election (despite not being admitted to the union until 1837), and over the next 130 years its allocation grew to 21 votes. This came as a result of Michigan's significant population growth and positive net migration rate in mid-1900s, which was largely due to the expansion of the automotive industry in the Detroit area. Since the 1970s, job automation and increased competition have substantially weakened the industry's employment opportunities; therefore Michigan's population growth has slowed significantly, and its number of electoral votes has also decreased to just 16. This number is expected to drop to 15 in the 2024 election.

  3. n

    Coronavirus (Covid-19) Data in the United States

    • nytimes.com
    • openicpsr.org
    • +4more
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    New York Times, Coronavirus (Covid-19) Data in the United States [Dataset]. https://www.nytimes.com/interactive/2020/us/coronavirus-us-cases.html
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    Dataset provided by
    New York Times
    Description

    The New York Times is releasing a series of data files with cumulative counts of coronavirus cases in the United States, at the state and county level, over time. We are compiling this time series data from state and local governments and health departments in an attempt to provide a complete record of the ongoing outbreak.

    Since late January, The Times has tracked cases of coronavirus in real time as they were identified after testing. Because of the widespread shortage of testing, however, the data is necessarily limited in the picture it presents of the outbreak.

    We have used this data to power our maps and reporting tracking the outbreak, and it is now being made available to the public in response to requests from researchers, scientists and government officials who would like access to the data to better understand the outbreak.

    The data begins with the first reported coronavirus case in Washington State on Jan. 21, 2020. We will publish regular updates to the data in this repository.

  4. d

    [MI] Tracking Healthcare Activity and Outcomes for Shielded Patients,...

    • digital.nhs.uk
    Updated Jul 21, 2020
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    (2020). [MI] Tracking Healthcare Activity and Outcomes for Shielded Patients, England [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/mi-tracking-healthcare-activity-and-outcomes-for-shielded-patients-england
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    Dataset updated
    Jul 21, 2020
    License

    https://digital.nhs.uk/about-nhs-digital/terms-and-conditionshttps://digital.nhs.uk/about-nhs-digital/terms-and-conditions

    Time period covered
    Oct 1, 2019 - Jun 17, 2020
    Area covered
    England
    Description

    Shielding is one of the government interventions aimed at reducing mortality from COVID-19. Those considered at highest clinical risk of mortality and severe morbidity from COVID-19 (defined as Clinically Extremely Vulnerable) were identified to be on the Shielded Patient List (SPL). These individuals were asked to stay at home and avoid face-to-face contact for a period of at least 12 weeks during the peak of the pandemic in the UK. This publication considers data relating to emergency admissions, mortality and positive COVID-19 tests for a subset of patients on the English SPL compared with an age-matched sample of the general population. The open data file includes the underlying counts and rates to allow for analysis, modelling and planning to take place to aid the response to the coronavirus pandemic.

  5. In-hospital outcomes in patients with a positive vs. negative COVID-19 test...

    • plos.figshare.com
    xls
    Updated Jun 13, 2023
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    Lorenzo Azzalini; Milan Seth; Devraj Sukul; Javier A. Valle; Edouard Daher; Brett Wanamaker; Michael T. Tucciarone; Anwar Zaitoun; Ryan D. Madder; Hitinder S. Gurm (2023). In-hospital outcomes in patients with a positive vs. negative COVID-19 test in the pandemic period. [Dataset]. http://doi.org/10.1371/journal.pone.0273638.t004
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    xlsAvailable download formats
    Dataset updated
    Jun 13, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Lorenzo Azzalini; Milan Seth; Devraj Sukul; Javier A. Valle; Edouard Daher; Brett Wanamaker; Michael T. Tucciarone; Anwar Zaitoun; Ryan D. Madder; Hitinder S. Gurm
    License

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

    Description

    In-hospital outcomes in patients with a positive vs. negative COVID-19 test in the pandemic period.

  6. Clinical and procedural characteristics in patients with a positive vs....

    • plos.figshare.com
    xls
    Updated Jun 16, 2023
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    Lorenzo Azzalini; Milan Seth; Devraj Sukul; Javier A. Valle; Edouard Daher; Brett Wanamaker; Michael T. Tucciarone; Anwar Zaitoun; Ryan D. Madder; Hitinder S. Gurm (2023). Clinical and procedural characteristics in patients with a positive vs. negative COVID-19 test in the pandemic period. [Dataset]. http://doi.org/10.1371/journal.pone.0273638.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 16, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Lorenzo Azzalini; Milan Seth; Devraj Sukul; Javier A. Valle; Edouard Daher; Brett Wanamaker; Michael T. Tucciarone; Anwar Zaitoun; Ryan D. Madder; Hitinder S. Gurm
    License

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

    Description

    Clinical and procedural characteristics in patients with a positive vs. negative COVID-19 test in the pandemic period.

  7. In-hospital outcomes in the overall population.

    • plos.figshare.com
    xls
    Updated Jun 13, 2023
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    Lorenzo Azzalini; Milan Seth; Devraj Sukul; Javier A. Valle; Edouard Daher; Brett Wanamaker; Michael T. Tucciarone; Anwar Zaitoun; Ryan D. Madder; Hitinder S. Gurm (2023). In-hospital outcomes in the overall population. [Dataset]. http://doi.org/10.1371/journal.pone.0273638.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 13, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Lorenzo Azzalini; Milan Seth; Devraj Sukul; Javier A. Valle; Edouard Daher; Brett Wanamaker; Michael T. Tucciarone; Anwar Zaitoun; Ryan D. Madder; Hitinder S. Gurm
    License

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

    Description

    In-hospital outcomes in the overall population.

  8. Clinical and procedural characteristics in the overall population.

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 16, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
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    Lorenzo Azzalini; Milan Seth; Devraj Sukul; Javier A. Valle; Edouard Daher; Brett Wanamaker; Michael T. Tucciarone; Anwar Zaitoun; Ryan D. Madder; Hitinder S. Gurm (2023). Clinical and procedural characteristics in the overall population. [Dataset]. http://doi.org/10.1371/journal.pone.0273638.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 16, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Lorenzo Azzalini; Milan Seth; Devraj Sukul; Javier A. Valle; Edouard Daher; Brett Wanamaker; Michael T. Tucciarone; Anwar Zaitoun; Ryan D. Madder; Hitinder S. Gurm
    License

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

    Description

    Clinical and procedural characteristics in the overall population.

  9. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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TRADING ECONOMICS (2025). United States Michigan Consumer Sentiment [Dataset]. https://tradingeconomics.com/united-states/consumer-confidence

United States Michigan Consumer Sentiment

United States Michigan Consumer Sentiment - Historical Dataset (1952-11-30/2025-11-30)

Explore at:
17 scholarly articles cite this dataset (View in Google Scholar)
csv, xml, json, excelAvailable download formats
Dataset updated
Nov 7, 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
Nov 30, 1952 - Nov 30, 2025
Area covered
United States
Description

Consumer Confidence in the United States decreased to 51 points in November from 53.60 points in October of 2025. This dataset provides the latest reported value for - United States Consumer Sentiment - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

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