7 datasets found
  1. U.S. population share by generation 2023

    • statista.com
    Updated Jul 5, 2024
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    Statista (2024). U.S. population share by generation 2023 [Dataset]. https://www.statista.com/statistics/296974/us-population-share-by-generation/
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    Dataset updated
    Jul 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, Millennials were the largest generation group in the United States, making up about 21.71 percent of the population. However, Generation Z was not far behind, with Gen Z accounting for around 20.69 percent of the population in that year.

  2. B

    Singles Now Make Up More Than Half the U.S. Adult Population. Here's Where...

    • borealisdata.ca
    Updated Oct 1, 2014
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    Richard Florida (2014). Singles Now Make Up More Than Half the U.S. Adult Population. Here's Where They All Live [Dataset]. http://doi.org/10.5683/SP3/ODOWNT
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 1, 2014
    Dataset provided by
    Borealis
    Authors
    Richard Florida
    License

    https://borealisdata.ca/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.5683/SP3/ODOWNThttps://borealisdata.ca/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.5683/SP3/ODOWNT

    Area covered
    United States
    Description

    The United States is now a nation of singles. Single people make up just over half of all American adults for the first time since statistics have been collected, according to a study reported by Bloomberg last week.

  3. Bloomberg's K, Moran's I and Abouheif I test (A) values, testing for...

    • plos.figshare.com
    xls
    Updated May 30, 2023
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    Jorge H. Pinzón C.; Joshuah Beach-Letendre; Ernesto Weil; Laura D. Mydlarz (2023). Bloomberg's K, Moran's I and Abouheif I test (A) values, testing for phylogenetic signal in constitutive immunity (six individual measures and the integrated measure - PC1) and number of diseases affecting each species and prevalence (proportion of individuals infected in the population of a given species) at three taxonomic levels (family, genus and species) within 14 scleractinian coral species from the Caribbean Sea (bolded values show significant phylogenetic signal). [Dataset]. http://doi.org/10.1371/journal.pone.0104787.t003
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    xlsAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Jorge H. Pinzón C.; Joshuah Beach-Letendre; Ernesto Weil; Laura D. Mydlarz
    License

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

    Description

    Bloomberg's K, Moran's I and Abouheif I test (A) values, testing for phylogenetic signal in constitutive immunity (six individual measures and the integrated measure - PC1) and number of diseases affecting each species and prevalence (proportion of individuals infected in the population of a given species) at three taxonomic levels (family, genus and species) within 14 scleractinian coral species from the Caribbean Sea (bolded values show significant phylogenetic signal).

  4. Datasets for the article: "Environmental, Social, Governance (ESG)...

    • zenodo.org
    Updated Mar 13, 2025
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    Raquel C. Burgess; Raquel C. Burgess (2025). Datasets for the article: "Environmental, Social, Governance (ESG) investment analysis and population health: An analysis of ESG frameworks for the food and beverage sector" [Dataset]. http://doi.org/10.5281/zenodo.15022024
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    Dataset updated
    Mar 13, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Raquel C. Burgess; Raquel C. Burgess
    Description

    This is the dataset for the following manuscript: Environmental, Social, Governance (ESG) investment analysis and population health: An analysis of ESG frameworks for the food and beverage sector (published in TBD).

    The first file (Mapped metrics) shows the metrics that we extracted from the ESG frameworks and mapped to the HEALTH-CORP-FB typology. The metrics from the Bloomberg and S&P Global ESG Rating systems are excluded as this data is proprietary and we are not able to share it publicly. The metrics for the GRI Standards, SASB Standards, and JUST Capital Rankings can be accessed publicly at the websites of the respective organizations. The file contains information on the document version dates that we used in this study.

    The second file (Coded metrics) displays the classifications that we assigned to each mapped metric for the attributes of relevance, type of business operations, and data type. For industry-specific frameworks, only metrics mapped to the HEALTH-CORP-FB typology from the "processed food" sub-industry were coded. Specifically, we classified the fields in the SASB Processed Foods industry, the Bloomberg Packaged Food subindustry, and the S&P Global Food Products subindustry. For non-industry specific frameworks, we classified all of the mapped fields (i.e., GRI, JUST Capital). The file contains information on the document version dates that we used in this study.

    See the ReadMe tab in each file for additional information. For any other questions or clarifications, please contact Raquel Burgess at burgess.raq@gmail.com.

  5. f

    COVID-19 mobile phone survey design in Ecuador and Sri Lanka.

    • plos.figshare.com
    • figshare.com
    xls
    Updated Jun 10, 2023
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    Rachael Phadnis; Champika Wickramasinghe; Juan Carlos Zevallos; Stacy Davlin; Vindya Kumarapeli; Veronica Lea; Juliette Lee; Udara Perera; Francisco Xavier Solórzano; Juan Francisco Vásconez (2023). COVID-19 mobile phone survey design in Ecuador and Sri Lanka. [Dataset]. http://doi.org/10.1371/journal.pone.0250171.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 10, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Rachael Phadnis; Champika Wickramasinghe; Juan Carlos Zevallos; Stacy Davlin; Vindya Kumarapeli; Veronica Lea; Juliette Lee; Udara Perera; Francisco Xavier Solórzano; Juan Francisco Vásconez
    License

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

    Area covered
    Ecuador, Sri Lanka
    Description

    COVID-19 mobile phone survey design in Ecuador and Sri Lanka.

  6. Ecuador COVID-19: Survey findings on practices.

    • plos.figshare.com
    • figshare.com
    xls
    Updated Jun 11, 2023
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    Rachael Phadnis; Champika Wickramasinghe; Juan Carlos Zevallos; Stacy Davlin; Vindya Kumarapeli; Veronica Lea; Juliette Lee; Udara Perera; Francisco Xavier Solórzano; Juan Francisco Vásconez (2023). Ecuador COVID-19: Survey findings on practices. [Dataset]. http://doi.org/10.1371/journal.pone.0250171.t005
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 11, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Rachael Phadnis; Champika Wickramasinghe; Juan Carlos Zevallos; Stacy Davlin; Vindya Kumarapeli; Veronica Lea; Juliette Lee; Udara Perera; Francisco Xavier Solórzano; Juan Francisco Vásconez
    License

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

    Area covered
    Ecuador
    Description

    Ecuador COVID-19: Survey findings on practices.

  7. f

    Respondent demographics: Ecuador COVID-19 MPS.

    • plos.figshare.com
    xls
    Updated Jun 11, 2023
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    Rachael Phadnis; Champika Wickramasinghe; Juan Carlos Zevallos; Stacy Davlin; Vindya Kumarapeli; Veronica Lea; Juliette Lee; Udara Perera; Francisco Xavier Solórzano; Juan Francisco Vásconez (2023). Respondent demographics: Ecuador COVID-19 MPS. [Dataset]. http://doi.org/10.1371/journal.pone.0250171.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 11, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Rachael Phadnis; Champika Wickramasinghe; Juan Carlos Zevallos; Stacy Davlin; Vindya Kumarapeli; Veronica Lea; Juliette Lee; Udara Perera; Francisco Xavier Solórzano; Juan Francisco Vásconez
    License

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

    Area covered
    Ecuador
    Description

    Respondent demographics: Ecuador COVID-19 MPS.

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

Share
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Email
Click to copy link
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Statista (2024). U.S. population share by generation 2023 [Dataset]. https://www.statista.com/statistics/296974/us-population-share-by-generation/
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U.S. population share by generation 2023

Explore at:
34 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jul 5, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

In 2023, Millennials were the largest generation group in the United States, making up about 21.71 percent of the population. However, Generation Z was not far behind, with Gen Z accounting for around 20.69 percent of the population in that year.

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