27 datasets found
  1. U.S. population by generation 2024

    • statista.com
    • ai-chatbox.pro
    Updated May 13, 2025
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    Statista (2025). U.S. population by generation 2024 [Dataset]. https://www.statista.com/statistics/797321/us-population-by-generation/
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    Dataset updated
    May 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Millennials were the largest generation group in the United States in 2024, with an estimated population of ***** million. Born between 1981 and 1996, Millennials recently surpassed Baby Boomers as the biggest group, and they will continue to be a major part of the population for many years. The rise of Generation Alpha Generation Alpha is the most recent to have been named, and many group members will not be able to remember a time before smartphones and social media. As of 2024, the oldest Generation Alpha members were still only aging into adolescents. However, the group already makes up around ***** percent of the U.S. population, and they are said to be the most racially and ethnically diverse of all the generation groups. Boomers vs. Millennials The number of Baby Boomers, whose generation was defined by the boom in births following the Second World War, has fallen by around ***** million since 2010. However, they remain the second-largest generation group, and aging Boomers are contributing to steady increases in the median age of the population. Meanwhile, the Millennial generation continues to grow, and one reason for this is the increasing number of young immigrants arriving in the United States.

  2. F

    Not in Labor Force - With a Disability, 65 Years and over

    • fred.stlouisfed.org
    json
    Updated Aug 1, 2025
    + more versions
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    (2025). Not in Labor Force - With a Disability, 65 Years and over [Dataset]. https://fred.stlouisfed.org/series/LNU05075600
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    jsonAvailable download formats
    Dataset updated
    Aug 1, 2025
    License

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

    Description

    Graph and download economic data for Not in Labor Force - With a Disability, 65 Years and over (LNU05075600) from Jun 2008 to Jul 2025 about 65 years +, disability, labor force, labor, household survey, and USA.

  3. Opinions regarding U.S. companies based on data safety 2022, by generation

    • ai-chatbox.pro
    • statista.com
    Updated Jun 2, 2025
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    Ani Petrosyan (2025). Opinions regarding U.S. companies based on data safety 2022, by generation [Dataset]. https://www.ai-chatbox.pro/?_=%2Fstudy%2F17352%2Fonline-privacy-statista-dossier%2F%23XgboD02vawLZsmJjSPEePEUG%2FVFd%2Bik%3D
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    Dataset updated
    Jun 2, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Ani Petrosyan
    Area covered
    United States
    Description

    A 2022 survey of adults in the United States found that over 50 percent of them expected the companies to handle their collected data securely, and only that did not make them have a better opinion of a company. When it came to different generations, Gen Z was the less concerned group, with 31 percent of respondents not knowing or having no opinion regarding this. On the other hand, baby boomers were more interested in their data's safety, with 75 percent stating that keeping their data secure is their basic expectation from the companies.

  4. U

    United States Senior Living Market Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Mar 7, 2025
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    Data Insights Market (2025). United States Senior Living Market Report [Dataset]. https://www.datainsightsmarket.com/reports/united-states-senior-living-market-17191
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    doc, pdf, pptAvailable download formats
    Dataset updated
    Mar 7, 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
    United States
    Variables measured
    Market Size
    Description

    The United States senior living market, valued at $112.93 billion in 2025, is experiencing robust growth, projected to expand at a Compound Annual Growth Rate (CAGR) of 5.86% from 2025 to 2033. This expansion is fueled by several key drivers. The aging population, particularly the baby boomer generation, is a significant factor, creating an increasing demand for assisted living, independent living, memory care, and nursing care facilities. Furthermore, rising disposable incomes and increasing awareness of the benefits of senior living communities contribute to market growth. Technological advancements in senior care, such as telehealth and remote monitoring, are also enhancing the quality of life for residents and boosting market appeal. However, the market faces some restraints, including the rising costs of healthcare and senior care services, potentially limiting accessibility for some segments of the population. Furthermore, staffing shortages within the industry represent a significant challenge. The market is segmented by property type, with assisted living, independent living, and memory care facilities representing the largest segments. Key states driving market growth include New York, Illinois, California, North Carolina, and Washington, reflecting higher concentrations of the senior population and higher disposable incomes. Major players in the market such as Ensign Group Inc, Sunrise Senior Living, Brookdale Senior Living Inc, and Atria Senior Living Inc, compete fiercely, driving innovation and service improvements. The forecast period (2025-2033) anticipates continued growth, driven by the ongoing demographic shifts and increased demand for high-quality senior care options. Strategic partnerships, acquisitions, and investments in technology are likely to shape the competitive landscape in the coming years. The industry will continue to adapt to meet the evolving needs of the aging population, focusing on personalized care, innovative technologies, and cost-effective solutions. This comprehensive report provides an in-depth analysis of the booming United States senior living market, covering the period from 2019 to 2033. With a base year of 2025 and a forecast period spanning 2025-2033, this report is an invaluable resource for investors, industry professionals, and anyone seeking to understand the dynamics of this rapidly evolving sector. The report leverages extensive data analysis to provide insightful projections and uncover key trends shaping the future of senior care in the US. Expect detailed breakdowns of key segments, including assisted living, independent living, memory care, and nursing care, across major states like California, New York, Illinois, North Carolina, and Washington. Recent developments include: July 2023: Spring Cypress senior living site expansion is set to open at the end of 2024 and will consist of three phases. The first phase of the expansion will include 19 independent-living, two-bedroom cottages. The second phase will include 24 townhomes. The third phase will feature 95 apartments. The final phase will feature a resort with several luxury amenities., Apr 2023: For seniors looking for innovative, high-quality care, Avista Senior Living is transitioning away from its SafelyYou partnership to empower safer, more personalized dementia care with real-time, AI video and remote clinical experts 24/7.. Key drivers for this market are: 4., Increase in Aging Population Driving the Market4.; Healthcare and Long-term Care Needs Driving the Market. Potential restraints include: 4., High Affordability and Cost of Care Affecting the Market4.; Staffing and Workforce Challenges Affecting the Market. Notable trends are: Senior Housing Witnessing Increased Demand.

  5. Drug Use By Age

    • kaggle.com
    Updated Apr 23, 2021
    + more versions
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    Bojan Tunguz (2021). Drug Use By Age [Dataset]. https://www.kaggle.com/datasets/tunguz/drug-use-by-age/discussion
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 23, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Bojan Tunguz
    License

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

    Description

    Drug Use By Age

    This directory contains data behind the story How Baby Boomers Get High. It covers 13 drugs across 17 age groups.

    Source: National Survey on Drug Use and Health from the Substance Abuse and Mental Health Data Archive.

    HeaderDefinition
    alcohol-usePercentage of those in an age group who used alcohol in the past 12 months
    alcohol-frequencyMedian number of times a user in an age group used alcohol in the past 12 months
    marijuana-usePercentage of those in an age group who used marijuana in the past 12 months
    marijuana-frequencyMedian number of times a user in an age group used marijuana in the past 12 months
    cocaine-usePercentage of those in an age group who used cocaine in the past 12 months
    cocaine-frequencyMedian number of times a user in an age group used cocaine in the past 12 months
    crack-usePercentage of those in an age group who used crack in the past 12 months
    crack-frequencyMedian number of times a user in an age group used crack in the past 12 months
    heroin-usePercentage of those in an age group who used heroin in the past 12 months
    heroin-frequencyMedian number of times a user in an age group used heroin in the past 12 months
    hallucinogen-usePercentage of those in an age group who used hallucinogens in the past 12 months
    hallucinogen-frequencyMedian number of times a user in an age group used hallucinogens in the past 12 months
    inhalant-usePercentage of those in an age group who used inhalants in the past 12 months
    inhalant-frequencyMedian number of times a user in an age group used inhalants in the past 12 months
    pain-releiver-usePercentage of those in an age group who used pain relievers in the past 12 months
    pain-releiver-frequencyMedian number of times a user in an age group used pain relievers in the past 12 months
    oxycontin-usePercentage of those in an age group who used oxycontin in the past 12 months
    oxycontin-frequencyMedian number of times a user in an age group used oxycontin in the past 12 months
    tranquilizer-usePercentage of those in an age group who used tranquilizer in the past 12 months
    tranquilizer-frequencyMedian number of times a user in an age group used tranquilizer in the past 12 months
    stimulant-usePercentage of those in an age group who used stimulants in the past 12 months
    stimulant-frequencyMedian number of times a user in an age group used stimulants in the past 12 months
    meth-usePercentage of those in an age group who used meth in the past 12 months
    meth-frequencyMedian number of times a user in an age group used meth in the past 12 months
    sedative-usePercentage of those in an age group who used sedatives in the past 12 months
    sedative-frequencyMedian number of times a user in an age group used sedatives in the past 12 months
  6. U.S. patients that used select ways to view health data 2017, by generation

    • statista.com
    Updated Apr 26, 2022
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    Statista (2022). U.S. patients that used select ways to view health data 2017, by generation [Dataset]. https://www.statista.com/statistics/813817/technologies-used-to-view-health-data-by-generation-us/
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    Dataset updated
    Apr 26, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 4, 2017 - May 8, 2017
    Area covered
    United States
    Description

    This statistic shows the percentage of U.S. insured patients with a primary care doctor that utilized select technologies to look at their current health data as of 2017. According to the data, among Millennials and Baby Boomers, 44 percent accessed their medical records in person.

  7. Baby Boom Consumer Products Inc Importer/Buyer Data in USA, Baby Boom...

    • seair.co.in
    Updated Feb 18, 2024
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    Seair Exim (2024). Baby Boom Consumer Products Inc Importer/Buyer Data in USA, Baby Boom Consumer Products Inc Imports Data [Dataset]. https://www.seair.co.in
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    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Feb 18, 2024
    Dataset provided by
    Seair Exim Solutions
    Authors
    Seair Exim
    Area covered
    United States
    Description

    Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

  8. Baby boom consumer productsinc 1east 33rd USA Import & Buyer Data

    • seair.co.in
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    Seair Exim, Baby boom consumer productsinc 1east 33rd USA Import & Buyer Data [Dataset]. https://www.seair.co.in
    Explore at:
    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset provided by
    Seair Exim Solutions
    Authors
    Seair Exim
    Area covered
    United States
    Description

    Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

  9. Baby Boom Consumer Products Inc Importer and Kanglai Light Industrial...

    • seair.co.in
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    Seair Exim, Baby Boom Consumer Products Inc Importer and Kanglai Light Industrial Products K Usa N Co Limited Exporter Data to USA [Dataset]. https://www.seair.co.in
    Explore at:
    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset provided by
    Seair Exim Solutions
    Authors
    Seair Exim
    Area covered
    United States
    Description

    Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

  10. Baby Boom Consumer Products Inc Importer and Shi S Shanghai Industrial Co...

    • seair.co.in
    Updated Feb 18, 2024
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    Seair Exim (2024). Baby Boom Consumer Products Inc Importer and Shi S Shanghai Industrial Co Limited Exporter Data to USA [Dataset]. https://www.seair.co.in
    Explore at:
    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Feb 18, 2024
    Dataset provided by
    Seair Exim Solutions
    Authors
    Seair Exim
    Area covered
    United States
    Description

    Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

  11. f

    Descriptive statistics of participants.

    • figshare.com
    xls
    Updated Sep 30, 2024
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    Christopher I. Gurguis; Renée A. Duckworth; Nicole M. Bucaro; Consuelo Walss-Bass (2024). Descriptive statistics of participants. [Dataset]. http://doi.org/10.1371/journal.pone.0310598.t001
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    xlsAvailable download formats
    Dataset updated
    Sep 30, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Christopher I. Gurguis; Renée A. Duckworth; Nicole M. Bucaro; Consuelo Walss-Bass
    License

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

    Description

    Depression has strong negative impacts on how individuals function, leading to the assumption that there is strong negative selection on this trait that should deplete genetic variation and decrease its prevalence in human populations. Yet, depressive symptoms remain common. While there has been a large body of work trying to resolve this paradox by mapping genetic variation of this complex trait, there have been few direct empirical tests of the core assumption that there is consistent negative selection on depression in human populations. Here, we use a unique long-term dataset from the National Health and Nutrition Examination Survey that spans four generational cohorts (Silent Generation: 1928–1945, Baby Boomers: 1946–1964, Generation X: 1965–1980, and Millenials: 1981–1996) to measure both depression scores and fitness components (lifetime sexual partners, pregnancies, and live births) of women from the United States born between 1938–1994. We not only assess fitness consequences of depression across multiple generations to determine whether the strength and direction of selection on depression has changed over time, but we also pair these fitness measurements with mixed models to assess how several important covariates, including age, body mass, education, race/ethnicity, and income might influence this relationship. We found that, overall, selection on depression was positive and the strength of selection changed over time–women reporting higher depression had relatively more sexual partners, pregnancies, and births except during the Silent Generation when selection coefficients neared zero. We also found that depression scores and fitness components differed among generations—Baby Boomers showed the highest severity of depression and the most sexual partners. These results were not changed by the inclusion of covariates in our models. A limitation of this study is that for the Millenials, reproduction has not completed and data for this generation is interrupted by right censoring. Most importantly, our results undermine the common belief that there is consistent negative selection on depression and demonstrate that the relationship between depression and fitness changes between generations, which may explain its maintenance in human populations.

  12. f

    Generalized linear models of depressive symptoms and fitness components.

    • plos.figshare.com
    xls
    Updated Sep 30, 2024
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    Christopher I. Gurguis; Renée A. Duckworth; Nicole M. Bucaro; Consuelo Walss-Bass (2024). Generalized linear models of depressive symptoms and fitness components. [Dataset]. http://doi.org/10.1371/journal.pone.0310598.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Sep 30, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Christopher I. Gurguis; Renée A. Duckworth; Nicole M. Bucaro; Consuelo Walss-Bass
    License

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

    Description

    Generalized linear models of depressive symptoms and fitness components.

  13. Baby Boom Consumer Products Inc Importer and Wuxi Huide International Corp...

    • seair.co.in
    Updated Feb 18, 2024
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    Seair Exim (2024). Baby Boom Consumer Products Inc Importer and Wuxi Huide International Corp Limited Exporter Data to USA [Dataset]. https://www.seair.co.in
    Explore at:
    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Feb 18, 2024
    Dataset provided by
    Seair Exim Solutions
    Authors
    Seair Exim
    Area covered
    United States
    Description

    Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

  14. U.S. social media users on Facebook protecting their data 2022. by...

    • statista.com
    Updated Dec 15, 2023
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    Statista (2023). U.S. social media users on Facebook protecting their data 2022. by generation [Dataset]. https://www.statista.com/statistics/1341249/us-social-media-users-facebook-protecting-privacy-data-by-generation/
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    Dataset updated
    Dec 15, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    According to a September 2022 survey, 18 percent of social media users in the United States felt that Facebook protected their privacy and data, down from 27 percent in 2021. Overall, Millennials trusted the social media giant the most with their data in 2022, whilst Baby boomers were the least trusting, with just one in ten belonging to this generation feeling that Meta's Facebook protected their privacy and data.

  15. Nap Mat Import Data of Baby Boom Consumer Products Inc Importer and Wuxi...

    • seair.co.in
    Updated Mar 2, 2024
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    Seair Exim (2024). Nap Mat Import Data of Baby Boom Consumer Products Inc Importer and Wuxi Huide International Corp Limited Exporter to US at Long Beach Ca Port [Dataset]. https://www.seair.co.in
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    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Mar 2, 2024
    Dataset provided by
    Seair Exim Solutions
    Authors
    Seair Exim
    Area covered
    United States
    Description

    Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

  16. Willingness to pay for vinyl records U.S. 2019, by generation

    • statista.com
    Updated Jul 24, 2025
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    Statista (2025). Willingness to pay for vinyl records U.S. 2019, by generation [Dataset]. https://www.statista.com/statistics/995057/paying-for-vinyl-records-by-generation-us/
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    Dataset updated
    Jul 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2019
    Area covered
    United States
    Description

    This statistic shows the share of adults who are willing to pay for music on vinyl records in the United States as of April 2019, broken down by generation. The data reveals that respondents in the Baby Boomer age category were most likely to be willing to pay for music on vinyl records, followed closely by those who fall into the Generation X age group.

  17. U.S. patients that used select methods to track their health data 2017, by...

    • statista.com
    Updated Jul 14, 2025
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    Statista (2025). U.S. patients that used select methods to track their health data 2017, by generation [Dataset]. https://www.statista.com/statistics/813831/methods-used-to-track-health-records-by-generation-us/
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    Dataset updated
    Jul 14, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 4, 2017 - May 8, 2017
    Area covered
    United States
    Description

    This statistic shows the percentage of U.S. insured patients with a primary care doctor that utilized select methods to track their health records as of 2017, by generation. According to the data, among the Baby Boomer generation ** percent of patients keep their medical records stored in a folder, shoebox, lockbox, drawer, or other physical storage location.

  18. Baby Boomers: weekly time spent watching TV Q1 2018

    • statista.com
    Updated Jul 8, 2025
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    Statista (2025). Baby Boomers: weekly time spent watching TV Q1 2018 [Dataset]. https://www.statista.com/statistics/300069/media-consumption-habits-of-us-baby-boomers/
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    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The weekly time spent watching TV among Baby Boomers in the United States amounted to an average of ***** minutes (** hours and * minutes) in the first quarter of 2018. Boomers, or adults aged approximately 50 to 64 years old, are serious television fans, and 94 percent of adults in this age group watched television at least once per week.

    Baby Boomers and television

    According to data gathered in early 2019, adults aged between 50 and 64 years watched almost *** hours of live and time-shifted television per day, whereas those between ** and ** spent less than *** hours per day watching TV. Boomers tend to enjoy traditional formats more than younger consumers, though that is not to say that older adults do not make use of modern digital alternatives. Over ** percent of survey respondents aged 56 or above reported streaming or downloading TV series or movies each week, and some had even subscribed to a service purely to watch a specific show.

  19. Sources of brand discovery for Boomers in the U.S. 2019

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Sources of brand discovery for Boomers in the U.S. 2019 [Dataset]. https://www.statista.com/statistics/1024757/sources-brand-discovery-boomers-us/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 2019
    Area covered
    United States
    Description

    The statistic presents information on sources of brand discovery for Baby Boomers in the United States as of March 2019. According to the data, ** percent of Baby Boomer respondents discovered brands through social media, while ** percent indicated TV advertising as their source of brand discovery.

  20. U.S. consumers concerned about online privacy December 2021, by generation

    • statista.com
    Updated Apr 5, 2024
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    Statista (2024). U.S. consumers concerned about online privacy December 2021, by generation [Dataset]. https://www.statista.com/statistics/1368812/us-consumers-concerned-online-privacy-by-generation/
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    Dataset updated
    Apr 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 2021
    Area covered
    United States
    Description

    According to a survey conducted in December 2021, around eight in 10 Baby-Boomers in the United States were concerned about digital privacy. Additionally, 74 percent of the consumers of Generation X states had such worries. Generation Y, or Millennials, represented the lowest share of individuals concerned about their data privacy.

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Statista (2025). U.S. population by generation 2024 [Dataset]. https://www.statista.com/statistics/797321/us-population-by-generation/
Organization logo

U.S. population by generation 2024

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90 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
May 13, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

Millennials were the largest generation group in the United States in 2024, with an estimated population of ***** million. Born between 1981 and 1996, Millennials recently surpassed Baby Boomers as the biggest group, and they will continue to be a major part of the population for many years. The rise of Generation Alpha Generation Alpha is the most recent to have been named, and many group members will not be able to remember a time before smartphones and social media. As of 2024, the oldest Generation Alpha members were still only aging into adolescents. However, the group already makes up around ***** percent of the U.S. population, and they are said to be the most racially and ethnically diverse of all the generation groups. Boomers vs. Millennials The number of Baby Boomers, whose generation was defined by the boom in births following the Second World War, has fallen by around ***** million since 2010. However, they remain the second-largest generation group, and aging Boomers are contributing to steady increases in the median age of the population. Meanwhile, the Millennial generation continues to grow, and one reason for this is the increasing number of young immigrants arriving in the United States.

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